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ParadigmHow we look at the work, in five points

Five things we will not compromise on.

An enterprise intelligence platform with expert support when needed. We read the company from its own data, keep reading it, stay until the result, and keep the data inside your walls.

From actual dataWe read your systems, not people’s memories

From your actual data, not from interviews.

Read-only links to the systems you already run, plus the work that never reaches a system: spreadsheets, e-mail, chat, paper and the shop floor.

  • ERP

    SAP ECC and S/4HANA, Oracle, Microsoft Dynamics 365, NetSuite, Infor, Odoo

  • CRM and service

    Salesforce, ServiceNow, Jira, Zendesk, HubSpot

  • Databases and data platforms

    Oracle, SQL Server, PostgreSQL, Snowflake, Databricks

  • Files

    Excel, PDF, scans

  • E-mail and chat metadata

  • No data? We create it

    Forms digitised, cameras on the shop floor, meetings recorded with consent

Continuous and real timeNot a snapshot: the model keeps reading

Continuous and in real time, not a report that ages.

The as-built model keeps reading the systems after the diagnosis, so every case is checked as it happens and drift shows the day it starts.

  • 50 million events

    ingested in about 11 minutes

    Reference build, one server

  • 2.77 million events

    fully analysed in 27 seconds

    Reference build, one server

End to endFrom the first data to a result that holds

End to end, until the result.

We do not hand over software and leave. The same team runs every step, from collecting data to checking the change on every live case.

  1. Collecting Data

    Connect ERP, CRM and other systems; capture hidden work in Excel, e-mail and chat

  2. Mapping Processes and Data Flow

    Map processes as they really run, and the data behind them

  3. Gap Analysis

    Measure the gap to best practice; surface red flags in processes and data

  4. Optimal Design

    Design the optimal processes and data flow; build the transformation playbook

  5. Implementation Live Assurance

    Run live QC on every case, and score the company in real time against the optimal design

Before and afterOne process, as it runs and as it should run

Drag across the process to redesign it.

The same travel-permit process in Atlas. Before: hidden work, rejections and exceptions, as the records show it really runs. After: the best-practice design, with a segregation-of-duties control added.

Atlas process map, as is: swimlanes for source system, employee, administration and pre-approver, with hidden-work steps, rejections and exceptions marked.Atlas process map, best practice: the same swimlanes with clean approval steps, no hidden work, and an added segregation-of-duties check.
Drag the divider across the picture: the process as it runs today turns into the best-practice design.

See it in AtlasScreens from our platform, as it runs

The paradigm, on screen.

Atlas is the platform behind the five points. These screens come from a demonstration workspace.

Delivered as a serviceEngineers and consultants who stay with you

A service, not only software.

Our experts ensure results by expanding your data sources and staying with you through the implementation.

  • Forward-deployed engineering

    Engineers inside your organization connect the data and build the model with your teams.

  • Forward-deployed strategy consulting

    Consultants turn the evidence into decisions, owners and a plan your leaders sign off.

  • Managed service

    After the diagnosis, we keep the model running and the controls checked, for as long as you need.

On-premise, open modelsYour data never leaves your walls

On-premise, with open-source models.

The models run inside your environment, so data, model calls and telemetry stay with you. Confidentiality is designed in, not promised.

  • On-premise

    No data, model call or telemetry leaves

  • Sovereign

    The runtime is yours, wholly inside your environment

  • Cloud managed by AIx2

    The fastest start; only masked text goes to model providers, never used for their training

Built to be trustedThe guarantees built into every result

Computed by code. Explained by AI. Approved by people.

  • Same input, same result
  • The full population of cases, not samples
  • A light model screens, people decide, a second person approves before anything is published
  • Lineage from any figure to its source file
  • Every model call open to inspection

RepositoriesThe two best-practice models we measure against

A documented yardstick, not an opinion.

  • Process repository

    21 business modules, five levels from module to task, every task typed by who does it, so automation potential is measured task by task

  • Data governance repository

    13 layers under one governing layer, showing what is missing, defined differently or aligned