Wo KI sich bewegt
Ihrer Operation —
und wo nicht.
Ein strukturiertes zweiwöchiges KI-Bereitschafts-Audit für Unternehmen des mittleren Marktes. Wir kartieren jeden Workflow, bewerten ihn anhand eines Rahmens mit sechs Dimensionen und geben Ihnen ein schriftliches Briefing zurück, das Ihnen genau sagt, welche KI-Investitionen sich auszahlen, welche heimlich Budget verbrennen und welche Sie vorerst ignorieren sollten. Kein Anbieter-Pitch. Kein Demo-Theater. Nur eine verteidigbare KI-Strategie, auf die Sie handeln können.
Most AI projects
fail before
the first prompt.
Not because the models are wrong — but because the operation underneath isn't ready. Data lives in twelve places. Workflows are tribal knowledge held together by three people. Nobody can answer the question "if AI got this 90% right, what would actually change downstream?" The AI Readiness Audit is the structured, judgement-led review that answers that question — before you commit to a platform, sign a vendor, or write a single line of code.
Six dimensions.
One readiness score.
Every workflow we score runs through the same six lenses. The output is a numerical readiness score, a written rationale, and a verdict — go, watch, hold, or kill — for each candidate use case.
Data foundations
Where does the data live, who owns it, how clean is it, and is it actually queryable? AI projects fail in this dimension more than any other — and it's the cheapest one to fix early.
Workflow legibility
Can the work be described in steps a system could perform? If a senior in the team can't articulate the rules, neither can a model — and you'll be debugging hallucinations forever.
Integration surface
Where does AI need to read from and write back to? CRMs, ERPs, document stores, internal APIs. We map the integration surface and flag the seams that will break under load.
Risk & governance
What's the cost of being wrong? What does GDPR, sector regulation, or your largest customer's compliance team require? We surface non-negotiables before they become a launch blocker.
Cost-of-decision
Not model accuracy — decision economics. We benchmark each use case on the cost-of-being-wrong against the time-to-being-right. The shape of that ratio tells you whether to build, buy, or wait.
Change capacity
Will the team adopt it? Who blocks, who champions, what training cost is real? The best technical solution dies in week three if change capacity wasn't scoped from day one.
Two weeks. Four phases. One written brief.
Every AI Readiness Audit follows the same arc. Tight at the start, careful in the middle, unhurried at the end. Senior-led, fixed-fee, no surprises.
Discover
We sit with leadership and the operations team, watch the work happen, and document the actual workflows beneath the org chart. Output: a candidate list of 12–20 AI use cases worth scoring.
Score
Each use case runs through the six-dimension framework. Data, process, integration, governance, economics, change capacity. Numerical scores with written rationale — no black box.
Architect
For the highest-fit use cases, we sketch the technical shape: what's bought, what's built, where the data flows, what the first 90 days of implementation actually look like.
Deliver
Written brief, scored matrix, prioritised roadmap, indicative budgets. Walk-through with your leadership team. You keep the document — implement with us, with someone else, or hold.
A written brief your leadership team can defend.
"By page eleven we knew which two projects to kill. That alone paid the audit five times over."
Built for teams who
feel the pull of AI but want a sober answer first.
You've outgrown your tools
Spreadsheets, tribal knowledge, and three off-the-shelf SaaS tools held together by your most senior people. AI is being suggested everywhere — you want to know where it actually fits.
The board is asking
Investors, board, or parent group expects a credible AI position. You don't want a slide deck — you want a defensible plan that survives scrutiny from a CFO and a CTO.
You've been burned before
A previous AI pilot didn't move the metric, or stayed stuck in proof-of-concept. You want to understand what actually went wrong before committing budget again.
You're scoping the next platform
ERP rebuild, CRM migration, custom SaaS — and you want to know which AI capabilities to bake in from day one versus layer on later. The audit answers exactly that.
Honest note —If you already know the use case, have clean data, and just need execution: skip the audit and brief us directly. We'll save you two weeks.
"Stop benchmarking models. Start benchmarking decisions. The shape of cost-of-being-wrong against time-to-being-right is the only chart that matters when deciding where AI belongs in your operation."
Fixed scope. Fixed fee. Fixed timeline.
The audit is deliberately bounded. Two weeks, one senior, one written deliverable. No scope creep, no rolling retainer, no upsell at the end.
Single fixed fee
One number, agreed before kickoff. Covers the senior, the framework, the write-up, and the leadership walk-through. Indicative ranges shared on request.
- —Fixed fee, no hourly billing
- —No vendor commissions or referral fees
- —Fee is creditable against a follow-on build
14 calendar days
Day 1 is kickoff. Day 14 is delivery. Most of your team's time goes into Phase 01 — roughly 8–10 hours of stakeholder time across the two weeks.
- —Fixed start and end dates
- —Roughly 8–10 hours of your team's time
- —Conducted on-site or remote (EN/ES/DE)
Vendor-neutral by default
We don't resell models, platforms, or licences. The audit's only job is to give you the truth about your operation — including the cases where AI is the wrong tool.
- —No commissions from any vendor
- —Recommendations include "do nothing"
- —You own the deliverable in full
Two-week, fixed-fee diagnostic · senior-led · written brief delivered on day 14
Brief the audit teamQuestions before you commit.
What leadership teams usually ask before signing the engagement letter — answered honestly.
How is this different from a generic AI strategy consultation? +
Generic strategy work outputs a vision deck. The AI Readiness Audit outputs a scored, ranked, defensible matrix of specific workflows in your operation — with verdicts, indicative budgets, and a 90-day roadmap. It's diagnostic work, not aspiration work. The brief you receive on day 14 is something a CFO can sign off on, not something that sits on a SharePoint forever.
What does the audit cost? +
It's a single fixed fee, scoped before kickoff. The exact number depends on the size of the operation and the breadth of workflows in scope, but it's deliberately set well below the cost of a single failed AI pilot. We share indicative ranges on the first call. The fee is creditable against a follow-on build engagement, so you're not paying twice.
How much of our team's time will it take? +
Roughly 8–10 hours total across two weeks, spread across leadership, operations, and one or two technical stakeholders. Most of it lands in Phase 01 (Discover). We do the heavy lifting in scoring, architecture, and write-up between sessions, not in your meetings.
Do you sell or recommend specific AI vendors or platforms? +
We don't resell anything. No reseller margins, no referral fees, no vendor partnerships that would bias a recommendation. When the audit recommends a specific tool, it's because it's the best fit for your operation — and we'll name two or three alternatives so you can pressure-test the call.
What happens after we get the brief? Are we obligated to engage you for the build? +
No. The audit is a self-contained deliverable. You can implement with us, with your internal team, or with another partner — the brief is written so any competent senior engineer can act on it. About half of audit clients engage us for some or all of the follow-on build. The other half implement internally, which is exactly what the document is designed to enable.
Are we a fit if we haven't started any AI work yet? +
Especially if you haven't. The audit is most valuable before the first pilot, not after the third one has stalled. Starting from zero means we get to set up the data foundations and decision criteria before any vendor lock-in or sunk-cost bias enters the room. That's the cheapest moment to do this work.
Two weeks to know
where AI actually fits.
A 30-minute call with the senior who'd lead the audit. We'll scope the engagement, share indicative pricing, and tell you honestly whether the audit is the right next step for you — or whether you can skip it.