Methodology · The AI engagement model
Four tiers. Two pillars. One stack.
We structure every engagement around a four-tier pyramid of capability, flanked by two cross-cutting pillars. Each tier and pillar maps to one or more of our service practices.
The four tiers
From the apps your business sees to the bedrock that holds it up.
Every AI engagement runs across the same four layers. Hover or tap a tier to see what it covers and where to go deeper.
Four tiers, apex to base — every tier ships through both pillars.
Tier 01
Applications & Delivery
What the business sees.
- AI apps (conversational analytics)
- AI co-workers
- Outcome-driven development
- Responsible AI
- RAG
The two pillars
Two pillars. Every project.
Every tier of the engagement model ships through both. Velocity, governed.
Pillar A
Accelerated Deployment
From prototype to production — without the wait.
- Rapid prototyping
- CI/CD pipelines
- MLOps automation
- Infrastructure as code
- Container orchestration
- Model versioning
- Zero-downtime deploys
- Auto-scaling
- Edge deployment
- Multi-cloud strategy
Pillar B
Governance & Trust
Every invocation traced. Every decision accountable.
- Model monitoring
- Bias detection
- Audit trails
- Compliance frameworks
- Data privacy controls
- Responsible AI
- Fairness testing
- Drift detection
- Security hardening
- Regulatory compliance
Build · Evaluate · Operationalise · Govern
The lifecycle every tier runs through.
Each agent designed against ground truth. Each one accountable.
/ 01
Build
Design and ship agents against your organisation’s ground truth — bring your own model (BYOM), on the framework that fits.
/ 02
Evaluate
Prove every agent with ground-truth datasets, LLM-as-a-Judge and human review.
/ 03
Operationalise
Deploy and observe in production — policy-gated CI/CD, zero-downtime releases, full agent observability.
/ 04
Govern
Zero Trust on every agent and LLM invocation — each one traced, logged and scored for safety, with humans in the loop.
Next step
Engineering, not pilots.
Production-grade from day one — applications, research, data and infrastructure, flanked by accelerated deployment and governance.