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Choose your entry point.

Three ways into AI transformation, five modules to build on. All of it runs in your environment, on your data.

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Always includedGovernance packMonthly impact reportYou own the data and the modelsPause at any point

Entry points

Three ways to start

Pick the one that matches where you are: no plan yet, a plan but no delivery, or delivery held back by risk.

01When you need a decision-ready plan, not a workshop

AI Transformation Blueprint

Four weeks from mapping to a costed roadmap: where AI pays off across the business, in what order, at what risk.

  • Task and process map across the HR value chain
  • Ranked use cases with effort, impact and risk
  • Data and readiness gaps named
  • 12-month roadmap with a business case
More on AI Transformation Blueprint
02When the plan exists and nothing is live yet

Implementation and Fast-to-Impact

We put the first two or three use cases into operation, with data, guardrails and adoption measured from day one.

  • Two to three use cases live in your environment
  • Data pipelines and quality checks in place
  • Human-in-the-loop and audit trail
  • Adoption and impact tracked weekly
More on Implementation and Fast-to-Impact
03When risk, works councils or the EU AI Act are the blocker

Readiness and Risk Control

The governance layer that lets AI in HR go live: classification, controls, documentation and a review process people trust.

  • Use-case classification against the EU AI Act
  • Controls, human oversight and escalation
  • Model, data and decision documentation
  • Review board and approval flow
More on Readiness and Risk Control

Specialised modules

Five modules to build on

Add them on their own or inside a programme. Each one ships something in operation.

04When every answer starts with an argument about the numbers

HR Data Foundation

One trusted layer for people data: sources, contracts, definitions and quality you can point at.

  • Source mapping and data contracts
  • Shared definitions for headcount, attrition, cost
  • Quality checks with owners and alerts
  • A modelled layer that agents can read
More on HR Data Foundation
05When leaders ask for numbers HR cannot produce fast enough

People Analytics and Metric Layer

A metric layer and a small set of decisions it serves, instead of another dashboard nobody opens.

  • Metric layer with one definition per number
  • Decision-first views per leader group
  • Attrition, mobility, cost and capacity models
  • Self-serve answers with guardrails
More on People Analytics and Metric Layer
06When roles are described in titles instead of skills and tasks

Skills and Task Model

A living taxonomy of roles, tasks and skills, scored for automation potential and mapped to your own data.

  • Role, task and skill taxonomy for your organisation
  • Automation and augmentation score per task
  • Skill inventory from existing systems
  • Gap view per role, team and location
More on Skills and Task Model
07When workforce plans are built in a spreadsheet once a year

Demand and Supply Forecasting

Forecast the workforce you will need and the workforce you will have, by skill, and see the gap before it becomes urgent.

  • Demand model driven by business plans
  • Supply model with attrition and mobility
  • Skill-level gap over 4 to 8 quarters
  • Scenarios for hire, reskill or redesign
More on Demand and Supply Forecasting
08When agents are running and nobody is accountable for them

Agent Operations

Run HR agents like a service: an owner, a trust tier, monitoring and a monthly review of what they actually did.

  • Agent register with owner and trust tier
  • Monitoring, logging and override tracking
  • Quality sampling and drift checks
  • Monthly service review
More on Agent Operations
Always includedGovernance packMonthly impact reportYou own the data and the modelsPause at any point
One module at a time, in the right order.
A calm room with soft daylight and few objects.
We start where the impact lands fastest
Questions

Common questions

Which one should we start with?
Start from the blocker. No plan yet, start with the Blueprint. Plan but nothing live, start with Implementation. Blocked in review, start with Readiness.
What does it cost?
Fixed price per project or a fixed monthly fee, agreed before we start. Send a few lines about what you want to do and you get a quote within 24 hours.
How fast is something live?
The Blueprint takes four weeks. The first use case in operation typically lands three to four weeks after kick-off.
Can we combine several?
Yes, and most do. An entry point plus one or two modules is the common shape.
Who owns what you build?
You do. Data, models and everything built are yours, and it all runs in your environment.
Next step

Tell us what is blocking you. Answer within 24 hours.

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8 packages, same terms underneath.

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There is a smallest next step for almost every starting point.

Read about trust and governance

We write the limits before the work starts, not after.