BankingWhat we do, and an illustrative case
A single commercial bank can improve massively, in onboarding, compliance and credit.
We map how the work really runs from your own systems, measure the gap to best practice, and check every case as it happens.
What a bank can gainPublished results, with their sources
The gains are documented.
20–40%
lower cost to serve in a frontline domain rewired end to end
McKinsey, “Agentic AI is here. Is your bank’s frontline team ready?,” 2025 (results reported by banks)
60%
faster deal turnaround: from 5 days to 2, at one bank
McKinsey, “Agentic AI is here. Is your bank’s frontline team ready?,” 2025
up to 30%
more efficient AML reviews, and up to 40% better detection, at one bank
McKinsey, “The fight against money laundering: Machine learning is a game changer,” 2022
16%
faster corporate onboarding, and 8% cheaper, from workflow tools alone
PwC, “Effective onboarding for corporate customers” (up to 65% with combined measures)
What commercial banks needCompliance first, faster for clients
Built for how you really run.
Compliance first
KYC and AML gaps caught before the regulator finds them.
Faster onboarding
Corporate clients onboarded in days, not months.
Faster credit
Credit memos and covenant checks built from data.
Low-risk start
One process, 10 weeks. Runs on-prem with open-source models.
Illustrative caseLarge commercial bank: KYC, onboarding and credit
$21M saved a year.
Corporate clients, 10 weeks. An illustrative case, not an AIx2 client result: Illustrative bank running 40,000 corporate KYC reviews a year at $2,598 each (Fenergo, 2023) = $104M. Assumes 20% less effort per review: 40,000 × $520 = $21M a year.
$2.6K → $2.1K
cost per KYC review
Fenergo, 2023; assumes 20% less effort per review
4 weeks → 3 weeks
time to credit decision
Time to decision for small business and corporate loans averages 3–5 weeks (McKinsey, The lending revolution, 2018). Assumes 4 → 3 weeks; not counted in the savings.
sample QA → 100%
KYC files checked
Up to 90% of alerts from rule-based monitoring can be false positives (McKinsey, The new frontier in anti-money laundering). AIx2 checks every KYC file and alert live.
How we get thereThe ten weeks, step by step
From your own data to live checks on every case.
Step 01: Collecting Data
Connect core banking, CRM and KYC tools; add loan origination and AML alert data; capture e-mail, Excel and credit memos
Weeks 1–2
Step 02: Mapping Processes and Data Flow
Map onboarding from first contact to live; map credit from request to decision; trace every KYC document and check
Weeks 3–4
Step 03: Gap Analysis
Find rework, delays and what they cost; flag KYC gaps and repeat requests
Weeks 5–6
Step 04: Optimal Design
Ask clients for each document once; fast-track low-risk credit requests
Weeks 7–8
Step 05: Implementation Live Assurance
Live QA on every KYC file and alert; flag compliance risk early; track savings against the baseline
Weeks 9–10