Abstract neural lattice of glowing connected nodes

AI & automation

Automation reliable enough to run the business on.

Production automation, assistants, and workflow intelligence — designed for reliability beyond demos, governed properly, and measured against real operational savings.

Service catalogue

Everything a production AI capability needs.

Six service lines covering the automation lifecycle — from the first assistant to the governance that keeps it trustworthy.

01

AI assistants & agents

Assistants that answer correctly, escalate honestly, and log everything.

  • Customer service assistants
  • Internal knowledge assistants
  • Retrieval-augmented generation (RAG)
  • Guardrails & escalation design
02

Document & data processing

Paperwork turned into structured, actionable data.

  • Invoice & order extraction
  • Contract & form processing
  • Product data enrichment
  • Classification & routing
03

Workflow automation

The repetitive work, removed from human hands safely.

  • Business process automation
  • Approval & exception workflows
  • Cross-system task orchestration
  • Notification & alert flows
04

Decision support & analytics

Models that inform decisions — with the reasoning visible.

  • Forecasting & demand planning
  • Anomaly & fraud detection
  • Pricing & margin intelligence
  • Natural-language reporting
05

AI integration engineering

Models wired into real systems, not left in notebooks.

  • LLM API integration & tooling
  • Vector search infrastructure
  • Evaluation & regression testing
  • Cost & latency optimisation
06

Governance & reliability

AI you can defend to customers, auditors, and your own team.

  • Data privacy & GDPR alignment
  • Output monitoring & review loops
  • Fallback & human-in-the-loop design
  • Usage policies & audit trails

Why an engineering practice

AI held to engineering standards.

The gap between an impressive demo and a dependable system is engineering. That gap is where we work.

01

Production, not proof-of-concept

Demos are easy. We engineer for the failure cases — bad inputs, model drift, provider outages — so automation survives contact with reality.

02

ROI measured per workflow

Every automation has a baseline and a measured saving. If it doesn't pay for itself, we say so.

03

Integrated with your systems

AI works when it reaches the systems of record. We build those integrations as first-class engineering.

Automation needs somewhere reliable to run.

Our cloud practice provides the infrastructure and monitoring that keeps AI workloads fast, affordable, and observable in production.