Licences
01
“We bought AI. Nothing changed.”
Everyone has Claude or ChatGPT. People use it for emails. The real work still runs by hand, and the board asks what AI changed.
You bought AI. Nothing much changed?
We deploy AI in your company.
Audit first. Then the use cases that pay off go live, and your team learns to use them.
No pitch. You’ll leave with at least one recommendation you can use — whether or not we ever work together.
Companies we’ve built, scaled, or advised
01Your AI world today
Your team has AI licences. Your CRM still gets filled in by hand.
Manual work
02
“Every step is manual.”
Research before every call. Notes after it. The report every Monday. Seven tabs open, copy and paste between them.
Safety
03
“Everybody’s running with scissors.”
People paste company data into whatever tool they like. Nobody set the rules, so IT and Legal end up saying no.
Data
04
“Nobody knows which data is true.”
The CRM says one thing, the spreadsheet another. AI built on top of that answers with confidence, and gets it wrong.
02From chat to agents
Chat saves minutes.Agents save the week.
A chat window helps one person with one task. Agents do the work inside the systems your team already uses: the CRM, email, the calendar, your documents. So the work gets done where it happens.
Before
Chat
Saves minutes.
After
Agents
Does the work.
03Who shows up
One builds. One trains your people.
A forward-deployed engineer and a business operator, working inside your team.
The engineer
Builds the use cases in your tools, on your data, in your own environment. Real systems, not a demo.
The business operator
Trains your people while we build: weekly office hours, where they bring their real work and leave with a better way to do it.
04How it works
AUDIT · SECURE · LAUNCH · SCALE · OWN
Four weeks to know where AI pays off. You can stop there. Or you choose: the Foundational Enablement Programme, or a scoped project.
AUDIT
Four weeks · Audit
A euro figure on every use case, with the maths visible, and a working prototype on your real systems.
✓ You can stop here
SECURE
LAUNCH
Then · Launch and scale
The prioritised use cases go live, team by team. Rules set once. Your people trained while we build.
✓ Or a scoped project
SCALE
OWN
Ongoing · Own
Your team runs it. We keep it running and add the next use cases.
✓ Keeps improving
05Safe from day one
Compliance doesn’t mean no. It means a slightly harder build.
Legal, IT and your brand team set the rules once, at the start. That is how we build it: every later use case follows the same rules, without a new fight.
Your rules
- CRM
- Email & calendar
- Documents
- Chat
- Marketing
- Billing
Legal
Involved from the audit. Data minimisation is built in, not added later.
IT
One reviewed way into your systems. Read-only first, with access you control.
Brand
Your voice and your rules built in, so what AI writes sounds like you.
Powered by frontier models
06Proof
One tool turned a week of work into minutes.
At a European software company above €100M ARR, we shipped five working tools into the systems the team already used. One of them turns a week of collateral work into minutes. The audit there identified value from a conservative floor of €2.07M a year to about €3.0M all-in: value we identified and could defend line by line, not value anyone has yet banked.
11
discovery sessions
36
opportunities scored
€2.07M–€3.0M
identified value a year, floor to all-in — not yet banked
07Your systems
Any AI model. Your systems. Your rules.
We build on the tools you already have. The AI model can change. Your data stays where it is.
-
Clients & agents
where people and agents work
Swappable
- Open Cowork
- Claude Cowork
- Claude Code
- ChatGPT Work/Codex
-
AI model
the inference
Swappable
Claude
OpenAI- OpenRouter
- Local: GLM 5.2 · Kimi · DeepSeek · Qwen
-
Connecting layer
open standards
Stays
- MCP gateway
- AI gateway
- Skills
- Plugins
-
Your systems & data
never moves
Never moves
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.
These marks name the software in each layer. All marks are the property of their owners.
08Where we start
Start where it pays off. Then expand company-wide.
We often start in go-to-market, because the return shows fastest there. But the audit works for any team: Legal, Finance, HR, R&D, Manufacturing.
01
Land where it pays
Often sales, marketing or customer success. The four-week audit shows where AI pays off first, in any department.
02
Expand company-wide
Then more teams: Legal, Finance, HR, R&D, Manufacturing, on the same rules.
09Your people
Most AI training teaches prompts. Ours teaches your team’s real work.
01
Weekly office hours
Every week while we build: we show one good practice, then your people bring their own work.
02
Their work, not demos
Training on the tasks your team actually does, in the tools they already use.
03
Champions in every team
Power users build with us. Their best work becomes the way everyone works.
04
Superpowers, not replacements
The work nobody should do goes to AI. Your people keep the work only people can do.
10Case studies
Work that went live.
Anonymised where a client has not cleared naming.
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 and running
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
11Go-to-market
Your GTM motion. Our experience.
Different businesses, different channels. In 20 years of building and scaling B2B software 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.
12The gap
Why not do it yourself?
Most companies tried: licences for everyone, then surface-level use. We start where that stops: in your systems, with your people.
Consultancies
Strategy, workshops and roadmaps. Slides, and often nothing that runs.
PromptPartner
Use cases that go live. An engineer and a business operator inside your team. Four weeks to the audit readout. Then your people use what we build, and it keeps improving.
Doing it yourself
Licences for everyone, a few power users, and the real work still runs by hand.
Four weeks from now, you’ll know exactly where AI pays off in your company.
Start with a 30-minute call. Then the audit. Then you decide.
No pitch. You’ll leave with at least one recommendation you can use — whether or not we ever work together.