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CustomersIT and managed-services network · Canada · 42 locations

From assumed to proven, across 42 locations.

From the network’s own ticketing, monitoring and billing records; baseline Nov 2025, readings at day 90. Value figures not claimed.

The clientWho they are, where they stood, what we did

The engagement at a glance

Who the client is

MicroAge Canada is a national IT solutions and managed-services provider with its national office in Laval, Quebec. It serves small and mid-market organizations through 40+ locations, many independently run, and manages about 2,400 client organizations. Its national IT team runs the shared service platform behind the network.

Where they stood

Every location ran its own variant of the service process, and the data sat in separate tools. The national office could not see, for any client, whether protection was assumed or proven. The network wanted one consistent service, proof of protection for every managed client, and an end to revenue leaking between licensing, quoting and billing.

What we did
  1. Started with a one-week proof of concept on one process; the full engagement followed once it proved useful
  2. Read-only connections to 11 national sources and the tools of 42 locations, each with a data contract and a named owner; client data kept in Canada
  3. Mapped the real service workflow and its data flow in parallel for 42 locations, including client business reviews recorded with consent and transcribed in English and French
  4. Fused alert, ticket, device, client and invoice into one organization model
  5. Checked it against the network’s own standards, best practice (ITIL 4, NIST CSF 2.0, CIS Controls) and regulation (Quebec Law 25, PIPEDA, the Charter of the French language)
  6. Built renewal and incident risk scores, advisory only, backtested on 12 months of history
  7. Handed the fixes to the network’s own teams, starting with 3 pilot locations; the model runs as a managed service
How long it took

12 weeks of discovery, then a managed service from month 4 (November 2025 to October 2026)

  1. Week 0One-week proof of concept on one process
  2. Weeks 0–2Inputs and consent
  3. Weeks 2–5Maps
  4. Weeks 5–9Checks against own documents, best practice and regulation
  5. Weeks 9–12Delta and prediction
  6. Mar–Oct 2026Fixes by the network’s own teams, and managed service
Who we worked with
  • National leadership (sponsor)
  • National Service Director
  • Security Lead (CISO)
  • National IT Lead
  • Privacy Officer
  • Location managers
In scope
  • Ticketing and billing
  • Remote monitoring and device inventory
  • Security and backup consoles
  • Licensing and distributor portals
  • Quoting and ERP / finance
  • Recorded client business reviews
  • Chat and e-mail (metadata only)
  • National standards, location agreements, SLAs and policies

SummaryThe problem, what we did, what changed

Client issue · Solution · Impact

Client issue

The network, a national IT solutions and managed-services provider, engaged AIx2 through its national IT team. Each of its 42 locations ran its own variant of the service process, resolution times differed threefold, protection status was assumed rather than evidenced for a third of clients, and seats provisioned in the cloud were not always billed.

Solution

AIx2 mapped the service workflow and its data flow in parallel across ticketing, monitoring, security, backup, licensing and distributor data for 42 locations, transcribed bilingual business reviews on servers hosted in Canada, and fused alert, ticket, device, client and invoice into one organization model. It was tested against national standards, ITIL 4, NIST CSF 2.0 and CIS Controls, and Quebec Law 25, PIPEDA and the Charter of the French language, and produces advisory risk scores for incidents and renewals, backtested on 12 months of history.

Impact

AIx2 gave the network one evidence-based view of 42 locations, found where protection was only assumed and where money leaked, and showed which process differences cost time. Every managed client received a protection passport; the same ticket type took 3.1 times longer at the slowest location, and after three pilot locations adopted the fix their resolution time fell by about a fifth. The fixes were made by the network’s own teams, and national leadership kept AIx2 running as a managed service.

From → ToEach result, before and after

From → To

Before · as-is
After · as built now
  • Protection status: Assumed for a third of managed clients to Proven for 100% of managed clients
  • Security questionnaires: 6 h each to 45 min each
  • New-location onboarding: 6 weeks to 2 weeks (fourth location)
  • Resolution time at three pilot locations: 13 h to ≈ 10.5 h
  • Unbilled cloud seats: 3.4% of billed seats to 0.6%
  • Service process: Each location ran its own variant to One evidence-based view of 42 locations
Drag the divider to compare before and after.

From the network’s own ticketing, monitoring and billing records; baseline Nov 2025, readings at day 90. Value figures not claimed.

Results, measuredHow each number was defined and counted

Results, measured

ResultDefinitionBeforeAfterSampleSource
Clients with proven protectionClients with evidenced MFA, EDR, patch and backup status ÷ managed clients66%100%Baseline Nov 2025; reading at day 90The network’s own ticketing, monitoring and billing records
Security questionnairesTime per client security or cyber-insurance questionnaire6 h45 minBaseline Nov 2025; reading at day 90The network’s own ticketing, monitoring and billing records
New-location onboardingTime to full use of the shared platform, with a checklist and templates from the first three setups6 weeks2 weeksFourth location onboardedThe network’s own ticketing, monitoring and billing records
Mean time to resolve at the pilot locationsTicket opened to resolved, at 3 pilot locations after adopting the routing and device-history fix13 h≈ 10.5 h3 pilot locations; reading at day 90The network’s own ticketing records
P1/P2 response within SLATickets within SLA ÷ total89%96%Baseline Nov 2025; reading at day 90The network’s own ticketing records
Alerts per actionable incidentMonitoring alerts ÷ incidents2.71.4Baseline Nov 2025; reading at day 90The network’s own monitoring and ticketing records
Spread of resolution time between locationsSlowest ÷ fastest location, same ticket type3.1×≈ 2.4×Baseline Nov 2025; reading at day 90The network’s own ticketing records
Managed accounts with MFA enforcedEnforced ÷ total accounts85%97%Baseline Nov 2025; reading at day 90The network’s own monitoring records
Clients with a restore test within 90 daysClients with a tested restore79%95%Baseline Nov 2025; reading at day 90The network’s own monitoring records
Licence leakageProvisioned but unbilled seats ÷ billed seats3.4%0.6%Baseline Nov 2025; reading at day 90The network’s own billing records
Locations with a complete Law 25 incident registerLocations with a complete confidentiality-incident register74%100%Baseline Nov 2025; reading at day 90The network’s own records
First-contact resolutionResolved without escalation58%66%Baseline Nov 2025; reading at day 90The network’s own ticketing records
Duplicate ticketsIncidents with more than one ticket; 3 monitoring rules named as the main cause and fixed by the national team19%≈ 10%Baseline Nov 2025; reading at day 90The network’s own ticketing and monitoring records
Critical patches within 30 daysPatched endpoints ÷ total92%97%Baseline Nov 2025; reading at day 90The network’s own monitoring records
Quotes below the margin floorShare of quotes priced below the floor on stale distributor costs7%, unflaggedFlagged; reviewed by sales operations before sendingBaseline Nov 2025; reading at day 90The network’s own quoting records
Client documents available in French (Quebec)Share of client-facing documents82%98%Baseline Nov 2025; reading at day 90The network’s own records
Evidence maturityAverage score (1–5) across 4 workflow and 5 data-governance levels2.24.1Baseline Nov 2025; reading at day 90Assessment against the maturity scale

VerificationWho checked the numbers, and how

How the results were verified

  • From the network’s own ticketing, monitoring and billing records
  • Baseline measured in November 2025; readings at day 90
  • Resolution time compared at the three pilot locations after they adopted the routing and device-history fix
  • The fixes were made by the network’s own teams, starting with three pilot locations
  • Later readings in the story are projections and are not claimed

Financial caseThe money, modelled from measured results

Financial case

Value figures not claimed.

Client retention: the early warning is live, and its effect on churn will be reported only after a full renewal cycle.

The full storyThe engagement, chapter by chapter, from the client story

The full story

The engagement in brief

MicroAge Canada · National IT & Managed Services Network

From Assumed to Proven: One Service Standard and Evidence-based Protection Across 42 Locations

The client aimed to run one consistent service across a network of independently run locations, to prove the protection of every managed client, and to stop revenue leaking between licensing, quoting and billing.

Client issue: MicroAge Canada, a national IT solutions and managed services provider with 40+ locations, engaged AIx2 through its national IT team. Each location ran its own variant of the service process, resolution times differed threefold, protection status was assumed rather than evidenced for a third of clients, and seats provisioned in the cloud were not always billed.

Solution: AIx2 mapped the service workflow and its data flow in parallel across PSA, monitoring, security, backup, licensing and distributor data for 42 locations, transcribed bilingual business reviews with servers hosted in Canada, and fused alert, ticket, device, client and invoice into one organization model. The model was tested against national standards, ITIL 4, NIST CSF 2.0 and CIS Controls, and Quebec Law 25, PIPEDA and the Charter of the French language, and produces advisory risk scores for incidents and renewals, backtested on 12 months of history.

Impact: AIx2 gave the network one evidence-based view of 42 locations, found where protection was only assumed and where money leaked, and showed which process differences cost time. Every managed client received a protection passport ; the same ticket type took 3.1 times longer at the slowest location, and after three pilot locations adopted the fix their resolution time fell by about a fifth. The fixes were made by MicroAge’s own teams, and national leadership kept AIx2 running as a managed service.

Engagement report

AIx2 × MicroAge Canada

The organization model of a national IT and managed-services network: pain points, scope, six-step execution, deliverables, benchmark and financial impact.

Executive summary

Engagement period: November 2025 – October 2026 · MicroAge Canada national IT and service operations, Laval, Quebec

MicroAge Canada delivers hardware, software, cloud, cybersecurity and managed services to small and mid-market organizations through more than 40 locations across the country, many of them independently run. The national IT team operates the shared service platform behind that network: ticketing, remote monitoring, security tooling, licensing, quoting and reporting. Before the engagement, every location ran its own variant of the service process, data sat in separate tools, and the national office could not see, for any client, whether protection was assumed or proven.

In 12 weeks AIx2 mapped the real service workflow of 42 locations and the data flow behind it in parallel, fused them into one organization model (MicroAge Canada’s organization model), tested them against the network’s own service standards (Δ1), ITIL 4, NIST CSF 2.0 and CIS Controls (Δ2), and Quebec Law 25, PIPEDA, the Charter of the French language and cyber-insurance requirements (Δ3). Renewal and incident risk scores were backtested on 12 months of history; they are advisory, and account leads decide. Since month 4 the model runs as a managed service for the national office and every location.

In short: AIx2 gave a national network one evidence-based view of 42 locations, found where protection was only assumed and where money leaked, and showed which process differences cost time. The fixes were made by MicroAge’s own teams, starting with pilot locations.

Client profile

Facts from MicroAge Canada’s public channels; operating baseline measured at kick-off.

Company: MicroAge Canada, national office in Laval, Quebec. IT services and consulting; founded 1981; organised as a partnership.

Network: 40+ locations from coast to coast, a network of independently run local offices (e.g. MicroAge Bracebridge, serving Muskoka since 1987; MicroAge Québec in Limoilou; the newer MicroAge Rimouski for Bas-Saint-Laurent and Gaspésie).

Offer: end-to-end, multi-vendor solutions across hardware, software, cloud and cybersecurity, backed by managed and support services; on-site and remote support, network monitoring, consulting, sales and installation.

Clients: small and mid-market organizations, professional services, retail, tourism, public organizations, residents in local communities.

Positioning: “Smarter IT. Safer outcomes. Local support nationwide.” National expertise with local accountability.

Language: bilingual English / French across all channels.

Separate entity: MicroAge in the United States (Phoenix, AZ) is a separate company; this engagement concerns MicroAge Canada only.

Operating baseline: 42 locations · ~2,400 managed client organizations · ~95,000 managed endpoints · ~140,000 tickets a year · ~38,000 cloud productivity seats under management · ~25,000 hardware and software quotes a year · ~600 client security and cyber-insurance questionnaires a year

Operating model and processes mapped

Lead & assessment → Quote (hardware, licences, services) → Order & distributor fulfilment → Client onboarding → Monitoring & alerts → Ticket & resolution → Security operations → Billing & licence true-up → Business review & renewal

Quote to order — Sub-processes: needs assessment, configuration, distributor price and stock check, quote, approval, order, delivery, installation; Systems and traces: quoting tool, distributor portals, e-mail, ERP

Client onboarding — Sub-processes: discovery, agent deployment, documentation, baseline security, user setup; Systems and traces: PSA, RMM, documentation platform

Monitoring to ticket — Sub-processes: alerts, auto-remediation, triage, escalation, dispatch on-site or remote; Systems and traces: RMM, PSA, Teams

Security operations — Sub-processes: EDR, e-mail security, MFA, patching, backup and restore tests, incident response; Systems and traces: security consoles, backup consoles, identity logs

Licensing & billing — Sub-processes: cloud subscriptions, seat changes, true-ups, invoicing; Systems and traces: CSP and licensing portals, PSA billing, ERP

Business reviews — Sub-processes: quarterly reviews, roadmap, renewals; Systems and traces: recorded meetings, PSA, CRM

Location operations — Sub-processes: location onboarding to the shared platform, local process variants, national reporting; Systems and traces: PSA instances, spreadsheets

Compliance — Sub-processes: privacy incidents, consent, French-language documentation, client attestations; Systems and traces: policies, registers, documents

Pain points diagnosed

Ranked by impact; confirmed with evidence during weeks 2–9.

1. “Assumed” instead of “proven” protection (Critical) — Evidence found: MFA, backup and patch status known for only part of the managed base; Root cause: security data spread over several consoles per location, never joined per client; Business impact: breach and liability risk; failed cyber-insurance questionnaires

2. 42 locations, 42 service variants (Critical) — Evidence found: resolution time differed by 3× between locations for the same ticket types; Root cause: independent offices running their own process on the shared tools; Business impact: uneven client experience; no national SLA

3. Licence and margin leakage (Critical) — Evidence found: seats billed below seats provisioned; quotes priced on stale distributor costs; Root cause: licensing, billing and quoting data not reconciled; Business impact: lost recurring revenue and hardware margin

4. Alert noise (High) — Evidence found: one incident generating several alerts and duplicate tickets; Root cause: monitoring rules and ticketing not linked; Business impact: technician time lost; slower response

5. Privacy and language compliance (High) — Evidence found: incident register incomplete; client documents not always available in French; Root cause: Law 25 and Charter obligations handled locally; Business impact: regulatory exposure in Quebec

6. Slow location and client onboarding (High) — Evidence found: 6 weeks to bring a new location onto the shared platform; Root cause: manual configuration of tools and templates; Business impact: slower growth of the network

7. No view of client churn (High) — Evidence found: renewals lost without warning; Root cause: ticket, satisfaction and billing signals never combined; Business impact: lost managed-services revenue

8. Business continuity readiness (Medium) — Evidence found: restore tests not evidenced for many clients; Root cause: backup tests not scheduled or recorded centrally; Business impact: risk in a critical-system failure

9. Knowledge silos (Medium) — Evidence found: fixes rediscovered location by location; Root cause: bilingual knowledge not shared across the network; Business impact: repeat work

10. National reporting by spreadsheet (Medium) — Evidence found: monthly network report built by hand; Root cause: no common data model across locations; Business impact: late decisions

Scope and inputs

All connections read-only, each with a data contract and a named owner; client data stays in Canada.

PSA (ticketing) — Data used: tickets, time entries, SLAs, agreements, billing; Method: API + CDC; Privacy: client names → IDs; Owner: National Service Director

RMM — Data used: alerts, device inventory, patch status, scripts; Method: API; Privacy: device-level, no user content; Owner: National IT Lead

Security consoles — Data used: EDR detections, e-mail security, identity and MFA status; Method: API; Privacy: pseudonymised users; Owner: Security Lead (CISO)

Backup consoles — Data used: job results, restore tests; Method: API; Privacy: metadata only; Owner: National IT Lead

Licensing portals — Data used: subscriptions, seats, changes; Method: API; Privacy: client IDs; Owner: Licensing Manager

Distributor portals — Data used: price and stock; Method: API / feeds; Privacy: —; Owner: Procurement

Quoting tool — Data used: quotes, margins, approvals; Method: export → tabular serializer; Privacy: client IDs; Owner: Sales Operations

ERP / finance — Data used: orders, invoices, collections; Method: export; Privacy: aggregated; Owner: CFO

Business reviews — Data used: quarterly client reviews; Method: recorded with consent → ASR (English and French); Privacy: transcript only, audio deleted; Owner: Location managers

Teams and e-mail — Data used: escalations and hand-offs; Method: Graph API; Privacy: metadata only; Owner: National IT Lead

Documents — Data used: national service standards, location agreements, SLAs, privacy policy, French-language templates; Method: document modules; Privacy: access tags; Owner: Privacy Officer

Canonical text records produced from an alert, a ticket and a recorded business review (French translated to the canonical language):

[2026-02-11 07:42] CLIENT C-1187 · ACT alert · RMM "backup job failed" · DEVICE srv-01 · LOC Rimouski · SRC rmm [2026-02-11 07:44] CLIENT C-1187 · ACT ticket-open · PRIO P2 · LINK alert-77120 (3 duplicate alerts merged) · SRC psa [2026-02-19 14:05] CLIENT C-1187 · ACT decide · ROLE Client CEO, MicroAge Account Lead "Renew managed services only if restore test is proven quarterly" · lang fr→en · SRC meet.qbr @00:27:40 · CONF 0.92

The six steps, as executed

1 · Data hub — What we did: registered 11 national sources and the PSA, RMM and security tenants of 42 locations with data contracts; read-only connections; Canadian hosting; PII gateway; Pipeline: connectors, CDC, PII redactor, idempotent landing; Output: one evidence hub per client, location and service

2 · AI mapping — What we did: built OCEL event logs linking alert, ticket, time entry, device, client and invoice; discovered the real service workflow per location; surfaced local workarounds; Pipeline: event templater, case correlator, ASR (en/fr), speech-to-decision, translation fr↔en, process mining; Output: as-built process map + data supply chain map for 42 locations

3 · Δ1 own documents — What we did: compared with national service standards, location agreements, client SLAs and security baselines; Pipeline: procedure-to-BPMN, rule compiler; Output: deviations per location with exact counts

4 · Δ2 best practice — What we did: ITIL 4, NIST CSF 2.0, CIS Controls v8 (IG1/IG2), common MSP operating metrics; Pipeline: control library with clause mapping; Output: distance to best practice per level and per location

5 · Δ3 regulation & insurers — What we did: Quebec Law 25, PIPEDA, Charter of the French language, CyberSecure Canada, cyber-insurance questionnaires, vendor partner programme requirements; Pipeline: clause & obligation extractor; Output: compliance matrix: Met · Partial · Not met · No evidence

6 · Live delta — What we did: continuous security posture per client, SLA and alert monitoring, licence reconciliation, daily predictions; Pipeline: live delta engine, organization model; Output: national and location dashboards, alerts, evidence on demand

Workflow on four levels, data governance on five

Findings confirmed during the engagement.

01 · Strategy — What we mapped: national growth, new locations, service portfolio, vendor partnerships; Finding: growth plans not linked to service capacity per location

02 · Strategy execution — What we mapped: shared platform, national standards, location support, vendor programmes; Finding: standards published but adoption not measured

03 · Detailed processes — What we mapped: quote to order, onboarding, alert to ticket, security operations, licence true-up; Finding: 5 main service variants across locations; 21% of escalations handled outside the PSA

04 · Outcomes — What we mapped: resolved tickets, protected clients, invoices, renewals; Finding: “protected” status reported without evidence for 34% of clients

L0 · Governance foundation — What we mapped: ownership of client data, privacy officer, retention, registers; Finding: incident register incomplete for 11 locations

L1 · Data inputs — What we mapped: PSA, RMM, security, backup, licensing, distributors; Finding: 3 PSA configurations with different ticket categories

L2 · Data processing — What we mapped: alert rules, billing reconciliation, reporting; Finding: no reconciliation between provisioned and billed seats

L3 · Data outputs — What we mapped: client reports, national report, quotes; Finding: client reports available in English only for 18% of Quebec clients

L4 · Operations-generated data — What we mapped: tickets, fixes, client feedback; Finding: fixes did not flow back into the shared knowledge base

FUSE and the organization model

resolving a ticket — Linked data: alert history, device, patch and backup status; Insight from the fusion: which unpatched devices create most tickets

renewing an agreement — Linked data: tickets, SLA history, review decisions, billing; Insight from the fusion: renewal risk with its cause

quoting hardware — Linked data: live distributor cost and stock; Insight from the fusion: quote blocked when margin falls below the floor

changing a cloud seat — Linked data: licence portal + PSA billing; Insight from the fusion: seat billed the same day it is provisioned

answering an insurance questionnaire — Linked data: MFA, EDR, backup and patch evidence per client; Insight from the fusion: answers generated with evidence

Which client will have a security incident? — Signals: MFA gaps, patch lag, EDR detections, backup failures; Model family: gradient boosting + anomaly; Lead time: weeks earlier

Which client may not renew? — Signals: ticket trend, SLA breaches, review decisions, billing disputes; Model family: survival; Lead time: 60–90 days earlier

Where will ticket volume surge? — Signals: patch cycles, vendor releases, seasonality per region; Model family: sequence model; Lead time: 2–4 weeks

Which tickets will breach SLA? — Signals: queue, skills, location load, device history; Model family: survival; Lead time: hours earlier

Which location needs support? — Signals: service variants, SLA trend, staff load; Model family: scoring on the model graph; Lead time: continuous

Δ findings

Each finding came with exact counts, witness evidence and a named owner.

Δ1 — Reference: national security baseline; Finding: MFA not enforced for 9,420 of 61,000 managed user accounts; Severity: Critical; Owner: Security Lead

Δ1 — Reference: client SLA; Finding: P2 response missed for 6,830 of 140,000 tickets; Severity: High; Owner: National Service Director

Δ1 — Reference: backup standard; Finding: no restore test in the last 90 days for 512 of 2,400 managed clients; Severity: Critical; Owner: National IT Lead

Δ2 — Reference: ITIL 4 event management; Finding: 2.7 alerts per actionable incident; duplicate tickets for 19% of incidents; Severity: High; Owner: National IT Lead

Δ2 — Reference: CIS Controls v8 · patching; Finding: critical patches older than 30 days on 7.8% of endpoints; Severity: High; Owner: Location managers

Δ2 — Reference: NIST CSF 2.0 · Recover; Finding: recovery plans documented for 41% of clients; Severity: Medium; Owner: Security Lead

Δ3 — Reference: Quebec Law 25; Finding: confidentiality-incident register incomplete at 11 locations; Severity: Critical; Owner: Privacy Officer

Δ3 — Reference: Charter of the French language; Finding: French versions missing for 18% of client-facing documents in Quebec; Severity: High; Owner: Quebec locations

Δ3 — Reference: cyber-insurance questionnaires; Finding: 34% of answers given without linked evidence; Severity: High; Owner: Account leads

Deliverables in operation

Process and data maps — Content: real service workflow per location + data supply chain with owners and return loops; Format: interactive map; Cadence: live

Client protection passport — Content: proven MFA, EDR, patch, backup and restore status per client; Format: client report (en/fr); Cadence: monthly + on demand

Insurance and security evidence pack — Content: questionnaire answers with evidence; Format: evidence pack; Cadence: on demand

Licence and margin guard — Content: seat reconciliation and margin floor on every quote; Format: alerts + quote gate; Cadence: daily / per quote

Alert-to-ticket correlation — Content: duplicate alerts merged into one incident; Format: PSA rule; Cadence: live

Location scorecard — Content: SLA, protection, variants and growth per location; Format: dashboard; Cadence: weekly

Renewal and incident forecasts — Content: risk scores with causes; Format: dashboard + alerts; Cadence: daily

Location onboarding kit — Content: templates and configuration of the shared platform; Format: playbook + automation; Cadence: per new location

Executive readout and snapshot — Content: 4 workflow + 5 governance levels, radar, heatmap, 30/60/90 roadmap; Format: dashboard + PDF; Cadence: monthly / quarterly

Model modules in use: KPI/OKR · contracts & vendors (distributors and licensing) · assets & inventory (managed devices) · spatial & service gap analysis (coverage by region) · decision making. Agents in use: S8 Risk → Alert · S4 Law → Compliance · S12 Finance → Profitability · S10 Demand → Supply · S7 Participation → Accountability.

Benchmark: results

Baseline measured in November 2025; reference bands are approximate common industry figures.

Mean time to resolve (pilot locations) — Definition: ticket opened to resolved, 3 pilot locations after adopting routing and device-history fix; Baseline: 13 h; Day 90: ≈ 10.5 h; Reference: roll-out to further locations in progress

P1/P2 response within SLA — Definition: tickets within SLA ÷ total; Baseline: 89%; Day 90: 96%; Reference: —

First-contact resolution — Definition: resolved without escalation; Baseline: 58%; Day 90: 66%; Reference: service desk: ~65–75%

Alerts per actionable incident — Definition: RMM alerts ÷ incidents; Baseline: 2.7; Day 90: 1.4; Reference: ITIL event management

Duplicate tickets — Definition: incidents with > 1 ticket; 3 monitoring rules named as main cause, fixed by the national team; Baseline: 19%; Day 90: ≈ 10%; Reference: —

Spread of resolution time between locations — Definition: slowest ÷ fastest location, same ticket type; Baseline: 3.1×; Day 90: ≈ 2.4×; Reference: —

Clients with proven MFA, EDR, patch and backup — Definition: evidenced ÷ managed clients; Baseline: 66%; Day 90: 100%; Reference: —

Managed accounts with MFA enforced — Definition: enforced ÷ total accounts; Baseline: 85%; Day 90: 97%; Reference: CIS Controls v8

Restore test within 90 days — Definition: clients with a tested restore; Baseline: 79%; Day 90: 95%; Reference: NIST CSF 2.0 · Recover

Critical patches within 30 days — Definition: patched endpoints ÷ total; Baseline: 92%; Day 90: 97%; Reference: CIS Controls v8

Licence leakage — Definition: provisioned but unbilled seats ÷ billed seats; Baseline: 3.4%; Day 90: 0.6%; Reference: —

Quotes below margin floor — Definition: share of quotes priced below floor on stale distributor costs; Baseline: 7%, unflagged; Day 90: flagged; reviewed by sales operations before sending; Reference: —

Insurance / security questionnaire — Definition: time per questionnaire; Baseline: 6 h; Day 90: 45 min; Reference: —

Law 25 incident register complete — Definition: locations with complete register; Baseline: 74%; Day 90: 100%; Reference: Quebec Law 25

Client documents available in French (Quebec) — Definition: share of client-facing documents; Baseline: 82%; Day 90: 98%; Reference: Charter of the French language

New location onboarding — Definition: to full use of the shared platform; checklist and templates from the first three setups; Baseline: 6 wks; Day 90: 2 wks (4th location); Reference: shorter only once proven

At-risk renewals warned early — Definition: clients flagged by the early warning (tickets, SLA breaches, billing disputes); Baseline: no warning; Day 90: warning live, advisory; Reference: churn effect reported after a full renewal cycle

Before — 01: 2; 02: 2; 03: 2; 04: 3; L0: 2; L1: 3; L2: 2; L3: 2; L4: 2; Avg: 2.2

After 90 days — 01: 3; 02: 4; 03: 4; 04: 5; L0: 4; L1: 5; L2: 4; L3: 4; L4: 4; Avg: 4.1

Financial impact

The levers named in the story are licence leakage corrected (AIx2 reconciled seats against billing and billing teams corrected the gaps), margin exposure on quotes priced below the floor on stale distributor costs (about a third recovered in year one through sales-operations review), technician time freed (duplicate-ticket fixes across the network and faster resolution at three pilot locations), and faster security questionnaires.

Client retention: the early warning is live; its effect on churn is reported only after a full renewal cycle, and is not yet claimed.

The story’s value table is illustrative. Value figures are not claimed here.

Not counted: avoided breach and liability cost for managed clients, avoided Law 25 penalties, and later gains as fixes roll out beyond the pilot locations.

Delivery timeline and governance

Nov 2025 · weeks 0–2 — Phase: Inputs and consent; Work done: 11 national sources and 42 location tenants registered; data contracts; Canadian hosting; business-review recording consent; Acceptance: every source has an owner and a contract

Dec 2025 · weeks 2–5 — Phase: Maps; Work done: process map and data map per location; FUSE of alert ↔ ticket ↔ device ↔ client ↔ invoice; Acceptance: maps signed off by the National Service Director

Jan 2026 · weeks 5–9 — Phase: Δ1 Δ2 Δ3; Work done: security baseline, ITIL, CIS and NIST checks; Law 25 and French-language checks; licence reconciliation; Acceptance: findings with exact counts and owners

Feb 2026 · weeks 9–12 — Phase: Delta and prediction; Work done: client protection passport, renewal and incident forecasts, location scorecard; Acceptance: backtest on the previous 12 months

Mar – Oct 2026 — Phase: Agents and managed service; Work done: fixes made by MicroAge’s own teams, starting with 3 pilot locations; agents S8, S4, S12, S10, S7 in advisory mode; quote review; onboarding checklist; monthly readouts; Acceptance: pilot results confirmed; network roll-out under way

Sponsor: national leadership: scope, priorities, network adoption

National Service Director: service standards, SLAs, location scorecards

Security Lead (CISO): security baseline, evidence, incident forecasts

Privacy Officer: Law 25, PIPEDA, French-language obligations, data contracts

Location managers: local adoption, business-review consent, remediation

AIx2 team: connections, modelling, checks, organization model, reporting

What made it work

The human change was MicroAge’s own: AIx2 found, explained and evidenced; national and location teams made the fixes, starting with three pilot locations.

One common data model on top of 42 local tool configurations, without forcing any location to change its tools first.

The client protection passport turned the network’s own message, “assuming you’re protected isn’t the same as knowing you are”, into evidence for every client.

English and French handled natively: business reviews in French were transcribed and translated on-premise servers in Canada.

Locations saw their own scorecard first, so adoption was driven by local managers, not imposed.

All client data stayed in Canada on MicroAge’s own infrastructure.

How the work ranThe work, and how the data was protected

How the work ran and how data was protected

The work

Weeks 0–2 · Inputs and consent: 11 national sources and the ticketing, monitoring and security tenants of 42 locations registered; data contracts; Canadian hosting; business-review recording consent.

Weeks 2–5 · Maps: process map and data map per location; alert ↔ ticket ↔ device ↔ client ↔ invoice fused. Maps signed off by the National Service Director.

Weeks 5–9 · Checks: security baseline, ITIL, CIS and NIST checks; Law 25 and French-language checks; licence reconciliation. Findings with exact counts and owners.

Weeks 9–12 · Delta and prediction: client protection passport, renewal and incident forecasts, location scorecard, backtested on the previous 12 months.

Month 4 onward · Managed service: fixes made by the network’s own teams, starting with 3 pilot locations; advisory agents; quote review; onboarding checklist; monthly readouts.

How data was protected

  • All connections read-only, each with a data contract and a named owner
  • Client data stayed in Canada, on the network’s own infrastructure
  • Client names replaced with IDs; users pseudonymised; personal data masked
  • Business reviews recorded with consent, English and French handled natively; transcript only, audio deleted
  • Chat and e-mail: metadata only
  • Risk scores are advisory; account leads decide

What it requiredWhat it took, by category

What the work required

Service data
Ticketing, monitoring, security, backup, licensing and distributor data from 42 locations, read-only, registered with data contracts and hosted in Canada.
Business and finance data
The quoting tool, ERP and finance exports, chat and e-mail metadata, and national service documents and policies.
Spoken work
Quarterly client business reviews, recorded with consent and transcribed in English and French on servers in Canada.
Your own rules
National service standards, location agreements, client SLAs and security baselines.
Best practice
ITIL 4, NIST CSF 2.0 and CIS Controls.
The law
Quebec Law 25, PIPEDA and the Charter of the French language.

For youWhat carries over to your company

What this means for you

    TimelineWhen it happened, who owned it, why it worked

    Timeline, owners and what made it work

    1. Nov 2025 · weeks 0–2

      Inputs and consent. Every source has an owner and a contract.

    2. Dec 2025 · weeks 2–5

      Maps. Signed off by the National Service Director.

    3. Jan 2026 · weeks 5–9

      Checks against own documents, best practice and regulation. Findings with exact counts and owners.

    4. Feb 2026 · weeks 9–12

      Delta and prediction: protection passport, renewal and incident forecasts, location scorecard. Backtest on the previous 12 months.

    5. Mar–Oct 2026

      Agents and managed service: fixes made by the network’s own teams, starting with 3 pilot locations; pilot results confirmed; network roll-out under way.

    Owners

    • National leadership (sponsor): scope, priorities, network adoption
    • National Service Director: service standards, SLAs, location scorecards
    • Security Lead: security baseline, evidence, incident forecasts
    • Privacy Officer: Law 25, PIPEDA, French-language obligations, data contracts
    • Location managers: local adoption, business-review consent, remediation
    • AIx2: connections, modelling, checks, organization model, reporting

    What made it work

    • The human change was the network’s own: AIx2 found, explained and evidenced; national and location teams made the fixes, starting with three pilot locations.
    • One common data model on top of 42 local tool configurations, without forcing any location to change its tools first.
    • The client protection passport turned “assumed” into evidence for every client.
    • English and French handled natively: business reviews in French were transcribed and translated on servers in Canada.
    • Locations saw their own scorecard first, so adoption was driven by local managers, not imposed.
    • All client data stayed in Canada on the network’s own infrastructure.

    One year laterWhether the change held

    One year later

    The one-year update follows twelve months after the engagement: whether the change held, with the new numbers.

    The full engagement report, with the maps, findings and owners, is available on request.