Process Automation Development
AI-driven RPA replacing repetitive back-office work. Production AI with evals, EU hosting options, and senior MLOps.
Built for teams like yours
Enterprise product
Shipping AI features inside existing SaaS with governance.
Innovation labs
Fast pilots that can graduate to production architecture.
Regulated data teams
Healthcare, finance, and public sector with strict controls.
Capabilities included in your build
Production ML & LLM ops
Training, serving, and monitoring — not notebook prototypes.
EU data residency
Hosting and routing options that keep sensitive data in-region.
Evals & guardrails
Automated quality checks before every release.
Integration-first
APIs into ERP, CRM, data warehouse, and ticketing.
Human-in-the-loop
Review queues where regulations require human approval.
Observability
Tracing, cost dashboards, and drift alerts in production.
How we ship
- 01
Discovery
We start with a structured workshop to map goals, users, constraints, and success metrics.
- 02
Design
Wireframes evolve into interactive prototypes you can test with real users before a line of production code is written.
- 03
Build
Weekly demoable increments, written tests, and code reviews — no surprises at launch.
- 04
Launch
Hardened deployments, observability, and a launch plan covering rollout, comms, and rollback.
- 05
Iterate
Post-launch we track usage, fix friction, and ship improvements on a cadence that fits your roadmap.
Engineered for outcomes, not invoices
- Move from pilot to production with one senior team
- Measurable KPIs — latency, cost per query, accuracy
- Documentation your compliance team can audit
- No vendor lock-in on models — swap with config changes
- Optional MLOps retainer after launch
A modern, proven foundation
We pick boring, battle-tested tools so your platform stays maintainable five years from now.
Common questions
+How do you scope AI projects?
Discovery maps data, risk tier, and success metrics — then fixed-scope or squad engagement.
+Can you work with our data science team?
Yes — we embed with your notebooks, feature stores, and release process.
+What about EU AI Act readiness?
Risk classification, logging, and human oversight aligned to your counsel's interpretation.
+Do you fine-tune or only use APIs?
Both — choice depends on data sensitivity, cost, and latency targets.
+How is model quality verified?
Golden sets, offline evals, and canary releases before full traffic.
Ready to build Process Automation?
Send us a brief — you'll hear back within one business day with next steps.