How it works
The method: Prove · Secure · Launch · Scale · Own.
Six weeks to the audit readout. The build follows. Then you own it.
The same methodology for every client. Reproducible. Defensible. Auditable.
Six weeks
to the audit readout
€2.07M–€3.0M
identified value, on one engagement
You own it
the system transfers to you
1
Prove
six weeks to the readout
2
Secure
one governed layer
3
Launch
the first agents ship
4
Scale
the next function follows
5
Own
everything transfers to you
The method
PROVE · SECURE · LAUNCH · SCALE · OWN
One method for every client: a six-week audit, then the build, then it is yours.
SIX WEEKS
Prove
The audit
Every opportunity on your real stack, scored on impact and difficulty, with a working prototype.
FOUNDATION
Secure
The layer
One governed layer over the systems you already own. Your data stays where it is.
WEEKS
Launch
First wins
The first agents ship into the systems your team already uses.
MONTHS
Scale
Beyond the first wave
The next function follows the same pattern, on the same governed layer.
YOURS
Own
The handover
Source, prompts, agents, playbooks and the provider-swap test. Everything transfers to you.
The Audit · the six-week proof
Decision-makers buy a method they can inspect, not a promise.
Scoring, interviews, deliverables, and the guarantees behind the fee. Six deliverables from the AI Value Canvas.
How we rank
7 impact factors, 7 difficulty factors.
Every opportunity scored on impact by difficulty, quick wins first. Each score traceable to an owner. The same model on every engagement. No black box.
- 1Account research
- 2Daily briefing
- 3Customer follow-up
- 4Dashboards for every seat
- 5Outreach engine
- 6Forecasting assist
- 7Self-serve lane
Illustrative. On the one engagement we have run, 36 opportunities were scored. Quick wins sequenced first.
- Revenue lift
- Cost reduction
- Time saved
- Risk mitigated
- Customer experience
- Strategic fit
- Team morale
- Data availability
- Integration complexity
- Change management
- Tech dependencies
- Compliance and legal
- Skill gap
- Time-to-value
Do now
High impact, low difficulty
Phase 2
High impact, high difficulty
Roadmap
Low impact, low difficulty
Skip
Low impact, high difficulty
Value, four ways
Most only count what they save. We count all four.
The audit models value in four dimensions, not one. Together they are the real number, and the reason the board says yes.
The canvas behind the audit. Run it yourself in about 90 minutes.
The audit arc
Who we sit with, and when.
Roles and dates adapt per client. The arc does not.
The guarantees
The guarantee is on the audit. The proof is the working system.
Release train
Wins in weeks, the build over months.
Same team, more output. Governed. Board-defensible, on your own numbers.
Enablement and delivery
Your people run it.
Weekly Office Hours: bring a real case, build a Skill live, ship it to the library, everyone inherits. Value compounds after we hand it over.
Weekly Office Hours
- Bring a real case
- Build a Skill live
- Ship it to the shared library
- Everyone inherits it
Own — the handover
What you own at the end.
Playbooks
Activation playbooks by region · Cadence library by ICP and signal · Objection handling and battlecards
Agents + automations
Signal-to-outreach loops end to end · Whitespace and adjacency scanners · Retrieval agents on your knowledge
Data assets
Indexed proof and knowledge library · Target-account and signal lists · Dashboards for every seat
Knowledge transfer
Runbooks and SOPs · Academy training and enablement · Source code, prompts, configs
Everything transferred to your ownership. The Academy makes it compound after we leave.
What changed on your desk
Two questions you now have to answer before a deal closes.
Your customers now audit your AI before they sign.
Security review used to ask where the data sits. Now it asks which models touch it, who can read the prompts, and what happens to the outputs — and the answer has become a condition of the contract.
Sovereignty is a deal term now.
It has moved out of the compliance annex and into the negotiation. A European region of a US provider is a location, not an answer — and buyers have started asking for the difference in writing.
Governed by design
One governed layer. Your data never moves.
Access, models, and PII in your control, audit-ready for the EU AI Act. Run frontier or local models, and swap provider without a rebuild.
Case studies
Prove · Secure · Launch · Scale · Own.
Anonymized where a client has not cleared naming. One case is not a guarantee.
Case study
A 50M+-user European software company
- Industry
- B2B software (communications and collaboration)
- Size
- €10M+ revenue · 50M+ users
- Challenge
- World-class product, underbuilt partner-led go-to-market
- Engines
- GTM rebuilt AI-first: strategy, marketing, partner program, sales, ops + KPIs
30+ deliverables, all built, operated, and transferred
Case study
A €250M+ European consulting firm
- Industry
- Management consulting
- Size
- €250M+ revenue
- Challenge
- Selling complex services into hard-to-reach senior buyers
- Engines
- AI-native outbound: dual-track outreach, 75+ data points per prospect, EU-hosted and zero-integration
Senior-buyer meetings booked weekly; running in production
To start
See an agent do the work once, and you never go back.
No pitch. You’ll leave with at least one recommendation you can use — whether or not we ever work together.