AI workflow automation services.
Remove the copy-paste work.
Automation that reads, decides and routes work across your tools, with every step logged.
The problems we solve first.
Manual handoffs
People copy data between systems all day.
Exceptions
Rules break when inputs vary.
Audit
Automated work still needs a paper trail.
What you get.
Every engagement includes design, engineering, evaluation, security review and handover from one senior team.
Process mapping
Find the hours worth automating.
AI decisions
Classify, extract and route with models.
Integrations
Email, sheets, CRM, ERP and APIs.
Exception queues
Unclear cases go to people.
Audit logs
Every action recorded.
ROI tracking
Hours and cost saved per workflow.
AI workflow automation, by industry.
How we ship AI that holds up.
Evaluation comes before scale. You see it working on your data before you commit to the full build.
Discover
Pick the task, define what “good” means and collect sample data.
Prototype
A working version on your real data, shown to real users.
Evaluate
Automated tests for accuracy, latency, cost and safety.
Productionise
Security, scaling, integrations and admin controls.
Monitor
Quality, drift and spend tracked; prompts and models improved.
Three ways to start.
AI sprint
One use case, prototyped on your data and tested with users.
You leave with · Prototype + go/no-goPilot
A production-grade version for one team, with evals and monitoring.
You leave with · Live pilot + ROI dataAI team
A dedicated squad that ships and improves AI across your products.
You leave with · Roadmap deliveredQuestions, answered.
Most clients start with a two-week AI sprint. Pilots and production builds are priced after the sprint, once we know what works on your data.
Ready to try ai workflow automation? Start with a sprint.
Tell us the task. An AI architect replies within one business day with a sprint plan. NDA on request.