The build side
AI systems that run inside operations
Five practice areas, fifteen services. Models that read, score and decide — wired into the systems you already run, with a person on every case the model is not sure about.
Automation
End-to-End Workflow Automation and Robotic Process Automation (RPA) – workflows that carry out the decision across systems never designed to talk to each other.
Artificial Intelligence & Machine Learning
Predictive Analytics, AI-Based Decision Systems and Intelligent Data Processing – models deployed against a measured baseline, not a demo.
Cloud Services
Cloud Architecture & Migration, Cloud Optimization and Secure Cloud Integration – sized so running costs stay inside a number you agreed to.
Technology Consulting
Solution Architecture, Legacy System Modernization and Tech Strategy & Roadmap – what to automate, in what order, and when a rules engine wins.
SME Enablement
Scalable Digital Tools for SMEs, Startup Acceleration Tech Stack and Budget-Friendly Implementation — applied AI sized for a team of twelve.
Human-in-the-loop delivery
Not a separate service: confidence thresholds you set, with everything below them routed to a named human queue with the source attached.
Measured, not estimated
Four numbers, every month
After go-live, the monthly report tracks the same four numbers – captured against a baseline measured before anything was deployed.
1
Straight-through rate
Share of work handled with no human touch.
2
Exception rate
How often work routes to your review queue.
3
Measured accuracy
Scored on a held-out sample of your own data.
4
Cost per decision
Inference and hosting, inside an agreed number.
From assessment to production
How an engagement runs
01
Assess
Two weeks. Baseline the process, label a sample of your own data, test candidate models and publish the accuracy. If it does not clear the bar, we tell you before anyone signs a build.
02
Architect
Solution design, data flow, threshold policy and a cost per document or decision, agreed before the first line of production code.
03
Build
Two-week increments, demoed live, evaluated against the held-out set every round so accuracy is never a surprise at the end.
04
Deploy
Shadow mode first, then progressive cutover with fallback to the existing process at every step.
