Services · AI Transformation · Tier 03
End-to-end AI transformation. Six months. Production at the end.
Our flagship engagement. From mapping your business to shipping the first 2–3 production AI agents — on your stack, with your data, in your jurisdiction.
If you’ve outgrown “AI is interesting” and need to actually move AI into the operational core of your company — this is the program. Built around our five-phase methodology, designed for European mid-market and lower-enterprise, AI Act-ready by default, swappable across LLM vendors, fully owned by you when we’re done.
Free for 10 named accounts this quarter
Stack in production:
LiteLLM
Claude
Mistral
Ollama
Presidio
AppFlowy
Use cases
Common use cases we deliver
Every transformation is different, but these patterns repeat. Five use cases that consistently make the cut as “first production agent.”
Offer-builder agent
Generates first-draft proposals from CRM context, customer history, and pricing rules. Reduces proposal cycle time 60–80%.
Customer-service agent (tier-1)
Handles inquiries about products, orders, account status. Escalates intelligently. Frees 30–50% of agent time for complex cases.
Background project analyst
Watches your project management tool, flags risks (timeline slip, scope creep, missing dependencies) before the standup.
Sales prep agent
Briefs sales managers before customer calls with everything CRM, email, and project history know. Replaces 30 min of pre-call research with 30 seconds.
HR screening agent
Pre-screens CVs against role-specific criteria. Always with human review (AI Act high-risk; designed for compliance from day one).
What clients say
Testimonials and case studies are with us in pre-publication review. Confidentiality first.
We’ll publish here as clients approve specific quotes.
Prefer a confidential reference call instead? Drop us a line →
How it compares
AI maturity assessment, target operating model, roadmap deck — then a hand-off to “delivery partners” you pay separately. We deliver end-to-end: the team that scopes the program builds the platform and ships the agents.
“We have Copilot/Einstein — let’s deploy it.” Fast and integrated for their stack. Lock-in by design. We’re vendor-agnostic: the LLM proxy lets you swap models per agent, and your stack stays composable. If we recommend Copilot, it’s because it fits — not because we get commission.
Maximum ownership — but you need 4–6 AI engineers, AI Act experts, and infra ops, with an 18+ month timeline before the first production agent. We bring the methodology and the platform; your team learns alongside ours. By month 6 you have production agents AND a team that can build the next one.
Who this is for
Talk to us about your situation.
- Size: 50–2000 employees (mid-market or lower-enterprise).
- Geography: EU + EEA + UK + Switzerland — or non-European with European data subjects, where AI Act applies.
- Maturity: you’ve moved past “should we use AI?” to “how do we use AI well?”
- Leadership commitment: C-level willing to invest 30–40 hours total across six months (not delegate to IT).
- Fit note: below 50 people, our Workshops (Tier 2) usually serve you better. Above 2000, we shape engagements around your existing transformation function — talk to us.
Scoping conversation
Book a call.
AI Readiness Audit
How to start
Three options, in order of commitment: 1. Apply for the free AI Readiness Audit (4 hours, one-page plan, no obligation). 2. Book a 30-minute call to scope your situation. 3. Start with the pilot (Phase 1 + Phase 2 only, decide on the rest after). Most clients start with the audit. It’s free, structured, honest, and you walk away with something useful even if we never work together.
Five phases over roughly six months. By the end, you have:
- ✓ Trained leadership team — fluent in Claude, GPT, Mistral platforms
- ✓ Machine-readable context document — your ground truth for any AI agent
- ✓ AI-ready infrastructure — LLM proxy, PII anonymization, CRM/ERP integration
- ✓ Deployed AI Context Platform — in your environment, code in your repos
- ✓ 2–3 production agents — actually running, actually used, actually measured
- ✓ AI Act compliance artifacts — documentation, decision logs, oversight, audit-ready
- ✓ Knowledge transfer — your senior engineer ships the next agent without us
- ✓ Six-month plan for what’s next — extension, additional agents, optimization