ai consulting
clear decisions. not slide-deck graveyards.
Advice from people who can also build. From opportunity analysis to tech-stack guidance to EU AI Act readiness - compact, hands-on, with concrete deliverables at the end. No 80-page PDFs.
ai everywhere, focus nowhere.
Three realities you live with every day in the 2026 AI market - and a fourth where we run against them.
AI tools vendors will try to sell you in any given quarter. Each promising a supposed 10× ROI.
of internal AI POCs land in the graveyard without an adoption plan. Pilot runs, rollout never happens.
typical consulting roadmap. About 3 pages actually actionable, the rest decorative.
What pays back, what doesn't, in what order. Concrete, short, hands-on.
is this for you?
book a discovery calladvisors who also build.
Classic consultancies hand you a strategy - and then pass the baton to an implementation partner who starts from zero. Three quarters of the insight from the workshops gets lost in the handover.
We advise with the knowledge of what we've built ourselves. If the engagement turns into a build job, we run it directly on request - no knowledge reset.
experience, not guesses
Recommendations are grounded in actual implementation experience - not best-practice decks.
fast, not epic
Quick Scan in 1–2 weeks, Deep Assessment in 3–4. No six-month consulting projects.
output, not prose
Concrete deliverables: concept doc, roadmap with KPIs, use-case backlog. No 80-page PDFs.
- formatclassic consultancy
typically a six-month project
tokynfocused sprint, 1–4 weeks
- teamclassic consultancy
often 4–6 consultants
tokyn1 senior, with hands-on experience
- deliverableclassic consultancy
80+ slides of powerpoint
tokyncompact concept doc + roadmap
- implementationclassic consultancy
handed off to a third party
tokynwe can run it ourselves on request
- costclassic consultancy
typically high six figures
tokyna fraction of that
Doesn't mean we skip slides - means the slides can sit in a drawer after the meeting, because the concept doc and the roadmap are the actual deliverables.
EU AI Act Check — in 4 Fragen zur Risikoklasse eures KI-Einsatzes.
from opportunity analysis to tech stack.
opportunity analysis
Which AI use cases pay off for you concretely, in what order? With ROI estimates per initiative.
use-case discovery
Workshop format with the people who'll actually use it - not just with the C-suite.
tech stack & vendor advice
Which platform, which models, which tooling architecture fits your stack and your compliance.
strategy & roadmap
12–18-month plan with measurable KPIs, wave-by-wave rollout instead of big bang.
eu ai act & governance
Risk classification per initiative, compliance inventory, DPA requirements, GDPR interface.
enablement & training
Training for leadership and specialist staff, champions programmes, sparring for internal AI teams.
three examples. from the mid-market.
A mid-sized custom-machine builder came in with "we want to do more with AI but don't know where to start".
gemacht: Opportunity analysis across every area from sales to service.
3 prioritised use cases with roi estimates.
Output: stack recommendation, 12-month roadmap, KPI set per use case. Format: Deep Assessment in 3 weeks.
The IT lead of a mid-sized insurer needed clarity on the EU AI Act ahead of an audit.
gemacht: Compliance inventory across all running and planned AI initiatives.
risk classification per initiative.
Output: Risk Register, obligations mapping per Art. 5/6 EU AI Act, hands-on docs for the audit. Format: Quick Scan in 2 weeks.
A family office with a 4-person IT team wanted a tech-stack recommendation - Microsoft, Google or something custom?
gemacht: Stack assessment against data, compliance and team reality.
stack recommendation with pilot plan.
Output: pro/con per alternative, vendor shortlist, pilot plan for one concrete use case. Format: Quick Scan in 1 week.
ready to get concrete?
book a discovery callthree axes. no vendor spin.
We evaluate AI initiatives along three axes - in exactly this order:
- 01data situation - do you even have the data, at what quality, at what granularity? No clean data, no AI value.
- 02adoption realism - who uses it daily, how convinced is the workforce, what's the cost of switching from the status quo?
- 03compliance & risk - industry obligations, DPA requirements, EU AI Act classification, sensitive data classes.
What doesn't feed into the evaluation: which platform we prefer, what's trending on LinkedIn, which vendor we happen to like, who put on the slickest demo.
Soft consulting without a clear recommendation. We say what we think - even if the answer is: don't do anything yet. Or: in this constellation it's not worth it.
Concept document with an evaluation matrix per use case, a prioritised roadmap and concrete next steps. No slide-deck graveyard.
from intro call to recommendation.
intro call
Understand the situation, recommend a fitting format. No commitment, no pitch deck.
Format recommendation (Quick Scan / Deep Assessment / Retainer) with a rough effort range.
quick scan or deep assessment
Focused diagnosis along the three evaluation axes. Workshops with the people who'll actually use it.
Use-case evaluation, stack proposal, risk assessment.
recommendation & roadmap
Consolidated recommendation with prioritised implementation, KPIs and a wave-by-wave plan.
Concept document, roadmap with KPIs, milestone plan.
optional: ongoing support
Sparring, vendor-selection reviews, architecture reviews, hands-on mentoring for internal AI teams.
Slack/Teams channel, monthly reviews, ad-hoc sparring.
If the engagement turns into a build job, we run it ourselves on request - no second onboarding, no knowledge-transfer break. If you'd rather build with another partner or internally, we hand over cleanly.
fixed price. per format.
We work on fixed prices per format - Quick Scan, Deep Assessment, sparring retainer. No T&M timesheets, no scope creep.
What you get from us typically lands at a fraction of what classic consultancies charge for comparable scope - because we don't need to pay four to six consultants out of every billable hour.
quick scan
1–2 weeksFocused format on one concrete question (e.g. "is a voice agent worth it in our service?", "which platform for our Company-GPT?").
deep assessment
3–4 weeksFull diagnosis across all three axes. Concept document + roadmap + KPI set + vendor/stack recommendation.
sparring retainer
monthlyOngoing support. Slack channel, monthly reviews, sparring on vendor calls, architecture reviews.
The downstream implementation (separate contract, see /solutions), licence and token costs of any recommended tools, external training material.
more in the journal.
let's talk about ai consulting.
30 minutes, no pitch deck. We listen to your situation and recommend a fitting format - Quick Scan, Deep Assessment or something else. If none of them fits, we'll say so.