Accountable AI for real workflows.
Workflow automation, customer systems, internal tools, assistants, knowledge bases, CRM automation, and data processing: Integrated into the tools your teams already use.
We build operational AI with guardrails, logging and measurable throughput, not experimental 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 from start to finish, 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