10×
Efficiency uplift
Lean, AI-embedded workflows reduce toil across teams.
Case Studies
Proof in outcomes
Real organisations, real constraints. We focus on AI readiness, human-centred design and platform foundations — so pilots land fast and scale safely.
Outcomes we deliver
6w
Time to pilot
Production-grade pilots in weeks, not months.
95%
Pilot team adoption
Human-centred design and training pathways drive use.
70%
Less operational toil
Assistants and automations cut repetitive work.
Selected work
SFI — AI-enabled operations
Problem
Manual service ops, high variance in quality, data spread across tools.
Approach
- Operating model & usage guardrails
- Platform: vector search, evals, observability
- Assistant UX embedded in existing tools
Results
- 10× efficiency uplift
- Production-grade pilot in 6 weeks
- 95% pilot team adoption
Operating modelPlatform deliveryAssistant UX
RetailCo — Product content at scale
Problem
Slow product content creation, inconsistent metadata, seasonal spikes.
Approach
- AI assistant for writers with brand guardrails
- Automated enrichment + validation pipeline
- Evals on tone, safety and compliance
Results
- 7× faster production
- 35% cost reduction
- Search visibility improvements
Product designAssistantsMLOps
HealthTrust — Governance-first AI
Problem
High regulatory burden and fragmented data estates delaying pilots.
Approach
- Policy → controls: filters, audit trails, RBAC
- Reference architecture for PHI-safe patterns
- Clinician-in-the-loop design
Results
- Pilot approved in 8 weeks
- 0 data incidents
- Framework reused across departments
RiskArchitectureChange
What our partners say
“The pilot landed in six weeks and actually met our risk bar. Adoption followed naturally because it fit how our teams work.”
“They focused on people and guardrails first. That’s why we could scale without firefighting.”
“We finally have a repeatable path from policy to production.”