outcomes

A program ends with proof, not a feeling.

Automated workflows that run, numbers management can trust, and a clear decision on what to scale next. This is what the company keeps.

Ready to take the step?

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example automations

High-impact automations, where champions choose to focus.

Pick a department and see how a typical workflow runs, what it takes to build, and what it pays back. Your champions build the workflows that pay back most for their own team.

Illustrative, conservative estimates at €45 per hour, a 40-hour week, and 46 working weeks per year. In the program every workflow is measured against your own baseline before anything is claimed.

scope, kept clear

We use the AI clients you have. We do not build custom AI.

In scope

  • Out-of-the-box AI clients
  • Practical workflow redesign
  • Reusable instructions and working methods
  • Business-user AI adoption
  • Lightweight, tool-agnostic governance
  • More value from tools you already own

Out of scope

  • Embedded vendor AI suites
  • Custom AI or model builds
  • Bespoke app development
  • Deep system integrations
  • Fine-tuning or custom RAG
for the company

Seven deliverables, all reusable.

01
Use-case identification and evaluation methodology
The method and scoring sheet champions use to find, compare, and rank practical workflows and future ideas.
for example18 use cases across 6 teams, scored on value and complexity, with 5 flagged build-now.
02
Workflow library most important
Every workflow built during the program, documented and ready to reuse.
examplesSales meeting brief and follow-upHR candidate screening and repliesFinance variance and month reportMarketing campaign adaptationSupport knowledge-base repliesManagement decision tracker
03
Champion playbook
A practical guide for champions to keep going after the program ends.
for examplehow to spot a use case, set a baseline, and deliver a workflow.
04
AI governance checklist
Simple rules for tools, data, human review, and connector use.
for exampleapproved tools per workflow, data rules, and the human-review points.
05
ROI overview
A consolidated view of value created or expected for the selected use cases, in EUR.
for examplehours saved and EUR payback per workflow, totalled for the program.
06
Final management demo
Outcomes presented by the champions themselves, not by us.
for exampleeach champion shows the baseline and the measured delta, live.
07
Scale roadmap
What to scale next, who owns it, and what budget it needs. From there your champions own it as a rolling AI roadmap.
for examplethree workflows to roll wider, owners named, budget sketched.
how we measure

ROI in business language, against a real baseline.

Time saved

Hours returned to the team each week the workflow runs.

Cycle time

How much faster the work moves from start to done.

Quality gain

Fewer errors, more consistency, fewer rounds of rework.

Cost avoidance

Spend not incurred, and license value that finally becomes visible.

certification

Four levels every champion can earn.

Certification is tied to delivery, not attendance. Each level marks what a champion can actually do.

governance

Controlled adoption, across tools you already own.

Governance here is not technical middleware. It is a small set of rules that lets champions use approved tools, data, and connectors safely, with IT as the sponsor and partner.

Where it helps, airlock can sit underneath as the optional control layer for approved tools, skills, connectors, and actions, without champions needing to understand the technical architecture.

  • 01
    Approved tools
    Which AI clients are allowed, chosen per workflow.
  • 02
    Data rules
    What data is used, what is avoided, and what needs review.
  • 03
    Human review
    The points where a person stays in control.
  • 04
    Rollout decisions
    Keep, stop, improve, or scale, decided by management.
see where AI can pay back

Start with the numbers. Book a call.