For European software and SaaS companies
AI Agents that do measurable work inside your company — and you own it.
You have AI licences. You can’t show what they bought. We put a euro figure on what AI can do here in six weeks — then we build it with your people, not a slide deck about it.
No pitch. You’ll leave with at least one recommendation you can use — whether or not we ever work together.
What the audit looks at, and what you get back.
Companies we’ve built, scaled, or advised
Your AI world today
European Software and SaaS companies face dangerous challenges with AI
Your seats are priced for work an agent now does.
Per-seat pricing assumes a human at the keyboard. When the work moves to the agent, the seat stops describing the value — and outcome pricing arrives before you have ever measured an outcome.
Growth stopped paying for itself.
Product AI does not land on the revenue line. It lands on the cost of producing the revenue — and that is the half that decides whether an exit happens at all.
There is a line in your P&L for AI. There is none for what it produced.
The ROI is not unmeasurable. It is unmeasured — a different problem, with a different price tag.
Everything you run on AI is rented.
It sits on someone else’s platform, on someone else’s terms, renewed on someone else’s schedule. That is the version of the company a buyer sees.
The shift
From chat to agents. We do not add a system, we make the systems you already own reachable from one governed layer.
You use AI as a chat. It saves minutes, and sometimes hallucinates. We give you agents that do the work inside the systems you already own. Same team, more output — and a number you can defend.
Before
Chat
Saves minutes.
After
Agents
Do the work.
The method
PROVE · SECURE · LAUNCH · SCALE · OWN
The audit runs six weeks. The build follows. Then it is yours to keep.
Six weeks · Prove
A working system on your real stack, plus a scored ROI roadmap (the Audit).
✓ Real today
~5 months · Launch and scale
More output per power user on AI-heavy work — a modelled assumption, replaced by your own number at the audit.
✓ Realistic target
Ongoing · Own
We hand you the systems and IP; your people level up via the Academy.
✓ Yours to keep
One AI layer
Connect. Control. Create.
One institutional AI layer, in three moves: connect the systems you already own, govern it, and turn it into more output from the same team.
Connect
You don’t buy a seventh tool. We put AI between the systems you already own, so your people stop chasing tabs and the stack comes to them.
Control
One governed layer: 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.
Create
Capability, not job cuts. Same team, more output, trained through the Academy to run it without us. You own what we build.
Proof
One six-week audit. €2.07M–€3.0M a year.
A European software company at €100 million ARR. One six-week audit, scored on their real work. These figures are that engagement, one case and not a guarantee.
11
discovery sessions
36
opportunities scored
€2.07M–€3.0M
value creation per year — identified, defensible line by line
Independence
Built to stay independent.
AI you own, not AI that owns you. The connecting layer stays on open standards, your data never moves, and the models and vendors above it stay swappable.
Claude
OpenAIOpenRouterLocal: GLM 5.2 · Kimi · DeepSeek · Qwen
M365
Only the top two ever get swapped. Your data never moves.
Approving the security, identity and data boundary once means every later use case ships without a new fight — that is how we build it.
Where we start
Land in your go-to-market. Then expand company-wide.
Most European companies already bought AI tools and never implemented them. We turn what you already own into working systems, starting where the ROI is clearest.
Beyond the number
The euro figure is the proof. It is not the point.
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
Go-to-market
Your GTM motion. Our experience.
Different businesses, different channels, different approaches. From 20 years of building and scaling B2B companies, we’ve worked with every go-to-market motion, and built AI systems for each.
Enterprise Sales
Long cycles, high ACV
SMB / Velocity
High volume, fast close
Partner & Reseller
Indirect channel sales
Cloud Marketplaces
AWS, Azure, GCP, DO
Hosting & ISVs
Technical partnerships
Whatever your channel: We’ve built AI systems for established B2B software companies or modern SaaS, private equity funds, consultancies and professional services alike. Same engines, adapted to your specific motion.
The gap
Consulting vs building.
We don’t just write prompts. We build systems with integrated workflows that handle real business logic.
Traditional Consulting
Focuses on theory and six-month roadmap recommendations. Often ends with nothing shipped to production.
PromptPartner
Focuses on execution. We build engines that run in production. Six weeks to the audit readout. You own the system when we hand it over.
SaaS platforms alone
Convenient, but creates vendor lock-in and no system. You rent the intelligence instead of owning your competitive advantage.
See an agent do the work once, and you never go back.
Six weeks to the readout. Then you decide.
No pitch. You’ll leave with at least one recommendation you can use — whether or not we ever work together.