AI strategy consulting

From ideato AI roadmap

I help legal teams and organizations not just experiment with AI, but put it into production — with a clear strategy, the right tool stack and an implementation plan that actually works.

The problem

AI is here. But where to start?

Most organizations know AI is relevant. But the jump from pilot to real process rarely happens.

01

AI stays in pilot mode: tried, admired, but never anchored in daily work.

02

Tool confusion and vendor lock-in: licenses are bought before it is clear which processes actually fit.

03

Missing governance: data protection, compliance and responsibilities are only discussed once the system is running.

The method

Four steps to an AI strategy

No 100-page strategy papers. We work in four clear steps — pragmatic, testable and oriented around your day-to-day work.

01

Step 1

Assessment

We review your processes, data and constraints. Where is the biggest time gain? Where are legal or technical blockers?

02

Step 2

Quick win

A small, first use case is implemented quickly. This helps the team understand AI as a tool and produces visible results early.

03

Step 3

Roadmap

A prioritized sequence of use cases, tools, roles and budget. Not a giant project, but a step-by-step plan.

04

Step 4

Governance & scale

Guidelines, approval processes and quality controls — so AI stays explainable and can be safely expanded.

Services

What AI strategy consulting includes

Every organization is different. These building blocks can be combined depending on maturity level and goals.

AI opportunity analysis

Identify and prioritize use cases by time saved, feasibility and risk.

Tool evaluation & stack design

Comparison of suitable tools, AI models and integration options — including data protection and compliance checks.

Roadmap & roles

Concrete implementation plan with milestones, responsibilities and budget framework.

AI governance & policies

Build approval processes, quality controls and usage guidelines for responsible AI deployment.

Change management & training

Bring the team along: teach usage, limits and responsibility so AI is adopted and used correctly.

Proof-of-concept support

Support in designing, implementing and accepting a first AI use case — without vendor lock-in.

Referenzen

Kunden & Projektpartner

DKV

Rechtsabteilung der DKV – Unterstützung bei der automatisierten Vertragsanalyse mit KI durch CoPilot.

FAQ

What organizations typically want to know

Which organizations benefit from AI strategy consulting?

Especially teams with recurring, knowledge-intensive work: legal, compliance, sales, HR or R&D. If you have already experimented with AI but not yet scaled it, the timing is ideal.

How long does it take to develop an AI strategy?

An initial opportunity analysis and roadmap can usually be developed in 2–4 workshops. Implementation then happens in short iterations — never as a multi-month project without intermediate results.

What does AI strategy consulting cost?

It starts with a fixed discovery workshop. Based on that, you receive a fixed-price offer for the next steps — no open hourly budget.

Do we need to buy new tools?

No. First we check what is possible with your existing tools. New licenses are only recommended if they deliver clear value and fit your existing infrastructure.

What happens after the strategy?

You receive an actionable roadmap. If you want, I support the first proof-of-concept and rollout — or your own team implements the next steps.

Get started

Talk to me before you buy the next tool.

A short intro call: where you stand, which processes are worth it, what is the first sensible step. Honest, no sales pressure.

Request an intro call