Five steps. One rhythm. Visible value from week 6.

Classic consulting projects often stall in long concept phases. We work iteratively in 2-week sprints: discovery and prioritization deliver a factual foundation quickly, then we bring the first agent to production — before scaling to a platform. Decisions are made on evidence, not slides.

01

Discover

1–2 Weeks
Outcome
„We know where you stand."

We assess your AI maturity across three layers: Copilot adoption, data foundation, and infrastructure. No questionnaire theater — hands-on analysis.

Signature Artifact
AI Readiness Score (Copilot × Data × Infra)
What we do
  • Assessment workshops with business & IT
  • Data & infra health check inside your Azure tenant
  • Copilot & M365 adoption baseline
02

Prioritize

1 Week
Outcome
„We know where you start."

A longlist of ideas becomes an Opportunity Map by value and feasibility. Three use cases go into delivery — each with a clear business KPI.

Signature Artifact
Opportunity Map + business case per use case
What we do
  • Use-case discovery with business units
  • Value × feasibility scoring (ROI, data readiness, risk)
  • Top-3 selection with steering committee sign-off
03

Prove

4–8 Weeks
Outcome
„A productive agent is live."

We build the first use case all the way to production — with real users, measured business impact, and security by design. No sandbox POC.

Signature Artifact
First Agent in Production + measured KPI
What we do
  • Agent build on Foundry / Copilot Studio
  • Data integration via Fabric / Dataverse
  • Responsible-AI checks, security review, rollout
04

Scale

3–6 Months
Outcome
„The platform carries the future."

From one agent to a platform: reusable building blocks, governance, AI gateway, FinOps. The second and third use cases ship in half the time.

Signature Artifact
AI platform + governance + 2nd / 3rd use case
What we do
  • Platform engineering (AI Gateway, observability)
  • Governance, model management, cost controls
  • Enablement of your team for autonomous operation
05

Evolve

ongoing
Outcome
„We deliver value, not tickets."

Managed operations with quarterly review: what was saved, where is value growing, which SaaS licenses can be consolidated? Transparent, outcome-based.

Signature Artifact
Managed Operations + quarterly ROI review
What we do
  • Continuous improvement on a fixed cadence
  • FinOps steering for tokens, GPU and SaaS portfolio
  • Quarterly review with measured value evidence
2-week rhythm
Every phase runs in 2-week sprints with demo and retrospective. You see progress every two weeks — not only at the end.
Entry options

Three ways to start with us

Matched to your maturity and ambition — from low-risk entry to long-term partnership.

AI Sprint

Low-risk entry
4 weeks · fixed price

One concrete use case, from assessment to productive prototype. Fixed scope, fixed price, clear outcome.

For whom

For CIOs who want to test AI tangibly before investing.

Which phases
Discover → Prioritize → Prove (light)
Recommended

AI Foundation

Foundation + first productive use case
3–6 months

AI readiness score, three prioritized use cases, and one productive agent with measured business impact.

For whom

For companies that want to scale — with a clear base instead of a pilot graveyard.

Which phases
Discover → Prioritize → Prove → Scale (phase 1)

Platform Partnership

Shared responsibility for your AI platform
ongoing

We operate, scale, and evolve your AI platform together with your team. Quarterly review with ROI evidence.

For whom

For mature Azure customers with an AI roadmap and multiple parallel use cases.

Which phases
Scale → Evolve (continuous)
Honest collaboration

What we need. What we deliver.

Transparency from day one — effort and commitment of both sides on one page.

From your side

  • Business stakeholders with decision authority
  • Access to data, systems, and the relevant Azure tenant
  • Decisions within 5 working days — no escalation theater
  • Openness to evidence, even when it contradicts assumptions

From our side

  • Senior team from day one — no junior handover
  • Outcome-based steering instead of billable-hour pitches
  • P3 Group network on demand: data science, engineering, change
  • Weekly demo progress, full code and architecture transparency