AI that runs inside real workflows — with accountability.
Workflow automation, customer systems, internal tools, assistants, knowledge bases, CRM automation, and data processing — integrated into the tools your teams already use.
Operational AI: guardrails, logging, and measurable throughput — not science-fair demos.
Production-grade automation — not buzzwords.
We design for accuracy, rollback, and human oversight where stakes are high.
Process map before models
We document inputs, decisions, and failure modes — most value is in the workflow design, not the model name.
Human-in-the-loop by design
Escalations, approvals, and sampling loops where mistakes are expensive.
Grounded knowledge systems
Retrieval over your documents with citations, freshness rules, and access control aligned to RBAC.
Integration-first
CRM, ERP, helpdesk, email, Slack/Teams — automations live where work already happens.
Evaluation & monitoring
Offline tests, live drift checks, and dashboards your ops team can read.
Security-aware defaults
Data minimisation, redaction patterns, and audit logs suitable for internal and customer-facing use.
Where minutes saved become margin.
Documents that no longer need a human opener.
Invoices, contracts, and proofs routed, extracted, classified, and pushed into ERP/finance with validation rules and exception queues.
Outcomes
- Lower cycle time
- Fewer posting errors
- Scales without linear headcount
Consistent answers without a script warehouse.
Assistants grounded in policies and systems of record — with handoff to humans when confidence drops or accounts are sensitive.
Outcomes
- 24/7 first-line coverage
- Reduced handle time
- Auditable responses
Stop losing pipeline to bad data.
Enrichment, deduplication, routing rules, and AI-assisted updates that respect governance and territory logic.
Outcomes
- Cleaner pipeline
- Better forecasting inputs
- Less manual CRM policing
Examples of AI systems we build.
If your workflow is not listed, we still assess it — these are common entry points.
From pilot to production without drama.
Workflow & risk analysis
We quantify error tolerance, latency needs, and where humans must stay in control.
Pilot with real data
Shadow mode or sampled production traffic — metrics before mandates.
Hardening
Guardrails, monitoring, rate limits, and fallback paths when providers or models change behaviour.
Operate & improve
Runbooks, owner training, and iteration cadence tied to business KPIs — not vanity accuracy scores.
Outcome-scoped engagements.
We price against defined workflows and acceptance tests — not open-ended “AI retainers”.
Focused workflow
From EUR 3,500
One high-friction workflow automated end-to-end with monitoring.
- Process map
- Integration to 1–2 systems
- Evaluation harness
- 4–6 week slice
AI system
From EUR 9,500
Assistant, knowledge, or operations hub with RBAC, logging, and admin controls.
- Security review pass
- Human-in-the-loop
- Dashboards
- 8–12 week programme
Programme
Custom
Multiple workflows, fine-tuned retrieval, or long-running improvement partnership.
- Dedicated cadence
- SLA options
- Change management support
- Model/provider flexibility
Large language models are tools; liability and data handling stay explicit in the contract.
AI delivery — plain language.
Do you sell “AI marketing packages”?
No. We engineer AI inside business systems — automation, retrieval, classification, and operations tooling — not generic content churn.
Which models do you use?
The right one for the job — judged on latency, cost, and evaluation scores against your data. We avoid lock-in where possible.
How do you protect data?
Region choices, retention limits, redaction, and access scopes are decided up front — documented alongside the architecture.
What does success look like?
Measured in throughput, error rates, and time returned to teams — not slide decks about innovation.
Which workflow burns the most hours today?
Send a short description — we reply with a feasibility view, risks, and a suggested pilot boundary.
Reply within one business day