Enable, govern, and scale AI that earns its keep.
Strategy that leads to shipped systems: assistants grounded in your data, agents with approval gates, document and vision pipelines, and voice AI — on whichever cloud and model provider fits.
Where do we start so AI actually pays back?
Not with a platform purchase. We triage your candidate use-cases by value, data readiness, and risk in a two-week assessment, and leave you a costed roadmap — including the honest cases where the answer is "don't build this."
How do we keep AI safe, on-brand, and compliant?
Governance is built into the system, not bolted on: grounded answers with citations, evaluation suites that run on every change, guardrails against data leakage, and audit trails your compliance team can actually read.
Are we locked into one model vendor?
No. We architect a model-routing layer so Anthropic, OpenAI, and Google models are interchangeable behind one interface. When a better or cheaper model ships, you swap it in — without rebuilding.
Three ways we deliver AI & Data.
Advise
AI strategy & envisioning
A structured, two-week engagement that turns "we should do something with AI" into a prioritised, costed plan your board can approve.
- Use-case triage by ROI, data readiness, and risk
- Build-vs-buy calls with total cost of ownership
- Architecture and integration blueprint for your estate
- Responsible-AI and governance baseline
Build
Assistants, agents & voice
Production AI systems that answer with evidence, act with approval gates, and speak your customers' language — literally, including multilingual and real-time voice.
- Retrieval-grounded assistants with citations over your documents
- Agentic automation for decisions-with-paperwork workflows
- Document, form, and vision pipelines (OCR to structured data)
- Real-time voice agents for intake, triage, and service
Govern
AI landing zones & governance
A secure foundation for AI at scale — on AWS, Azure, or Google Cloud — so every team ships to the same standard instead of reinventing risk.
- Secure AI landing zones: identity, networking, private endpoints
- Evaluation harnesses and guardrails as shared services
- Model routing across Anthropic, OpenAI, and Google
- AI Centre of Excellence enablement and playbooks
A working prototype on your data inside three weeks; production inside eight.
Every answer grounded and cited. Every change gated by an evaluation suite.
Cloud-agnostic and model-agnostic — swap providers without a rebuild.