What we integrate — and what you own afterwards.
Six services, scoped separately. Each one ends in something concrete that stays yours.
AI Readiness Audit
We map the workflows you actually run, check which ones a language model can carry today, and score them by impact against integration effort.
- Workflow and data-source inventory across the teams in scope
- Feasibility scoring — volume, error tolerance, data availability, system access
- EU AI Act risk classification plus a GDPR data-flow review
A prioritised use-case map and a 90-day integration plan with effort estimates.
Knowledge Assistants
Cited answers over your own material — contracts, handbooks, tickets, wikis — with permissions that follow your directory. Also the layer that makes a stalled Copilot rollout actually useful.
- Retrieval across SharePoint, Confluence, your DMS, ticket archives and file shares
- Every answer carries its sources; no source, no answer
- Access rights inherited from Entra ID or your existing group model
An assistant live in Teams, Slack or your intranet, gated by an evaluation set.
Workflow Agents
Agents that don't only answer but act — triage the ticket, draft the reply, update the record, and escalate whatever genuinely needs a person.
- Scoped, reviewed tool access to your ticketing, CRM and ERP
- Human approval wherever an action is irreversible
- A complete trace of every step, retained for audit
One workflow running end to end, with an approval queue and a rollback path.
Document Intelligence
Classification, extraction and review for the paperwork that blocks decisions: invoices, tenders, contracts, specifications, damage reports.
- Extraction into your target schema, validated field by field
- Clause and risk flagging against your own review playbook
- Confidence thresholds that route uncertain cases to a human reviewer
A processing pipeline with per-field accuracy you can report, plus a reviewer interface.
AI Platform Layer
The layer between your applications and the models: one gateway, one identity model, one cost and quality dashboard — instead of six teams holding six API keys.
- Model gateway with routing, fallbacks, rate limits and per-team budgets
- Prompts, datasets and evaluations versioned and wired into CI
- Tracing, spend and quality metrics in Langfuse or your existing Grafana
A deployed gateway and a CI pipeline that blocks releases when evaluation scores regress.
Enablement & Operations
Someone has to run this on the Monday after go-live. We train your team to own it — or operate it under an SLA until they're ready.
- Hands-on training for operators and the developers who inherit the system
- A written AI usage policy, review process and incident playbook
- Monitoring, on-call and iteration under an agreed SLA
A team that can extend the system without us — or a support contract until then.
Engagements and pricing
Fixed scope, agreed before you sign. The audit fee is fully credited against a pilot or production integration signed within 90 days.
AI Readiness Audit
Find out which workflows are worth integrating before you commit budget. The full fee is credited against a pilot or production build signed within 90 days.
- Operator interviews plus a system- and data-access review with your IT
- Impact × effort scoring across every candidate use case
- A 90-day plan with estimates and an AI Act risk classification
If the plan isn't actionable, we revise it until it is — or you don't pay for it.
Integration Workshop
A structured day with leadership and system owners to decide what gets integrated first — and what deliberately doesn't.
- Pre-analysis of your tooling and data landscape
- Use-case mapping and joint scoring with the owning departments
- Written decision document within three working days
If the day doesn't produce a decision, we don't invoice it.
Pilot Sprint
One use case, one integration, an evaluation harness with a go/no-go threshold agreed up front — and a fixed quote for production if it passes.
- A working system on your data, wired into one of your systems
- Evaluation set and acceptance threshold frozen at kickoff
- Go/no-go decision plus a priced path to production
Production Integration
Discovery to rollout: security review, AI Act documentation, monitoring, cost controls and a rollback path — live for real users. Typically €30–60k.
- Integration with the systems your teams already work in
- Security, data-protection and AI Act documentation prepared with you
- Live for real users, with monitoring and a rollback path
Operate
We run what's live so quality doesn't drift after go-live: monitoring, evaluations, updates and a monthly report.
- Drift and hallucination checks, evaluations running in CI
- Model and prompt updates shipped as measured releases
- Monthly report on quality, latency and spend
Fractional AI Lead
An AI lead without the eighteen-month hiring cycle: roadmap, vendor decisions and governance — plus build capacity every month.
- Roadmap ownership and model/vendor decisions
- Governance: usage policy, reviews and evaluation gates
- Included build capacity and a named contact with agreed response times