01
AI Strategy & Roadmaps
We work out where AI actually makes you money. Every idea gets scored on whether
the data exists, whether it is buildable, and what the regulator will say. You get
back an ordered plan with costs, an architecture, and a build-or-buy call on each line.
Opportunity mapping · Risk scoring · TCO modelling · Target architecture
02
Sovereign & Private AI Platforms
Models, vector stores, gateways and evaluation harnesses running entirely inside
your VPC or on-premise estate. No data crosses the boundary, every inference is
logged, and the whole platform can run air-gapped where the regulator requires it.
Private LLM hosting · Model gateway · RBAC & tenancy · Air-gapped deployment
03
AI Integration with Enterprise Systems
This is the boring work that decides whether any of it matters. Wiring the model
into SAP, ServiceNow, Control-M, core banking, and the twenty-year-old system
nobody wants to touch. Without breaking any of it.
SAP · ServiceNow · Control-M · Core banking · Legacy adapters
04
Agentic Workflow Automation
Agents that run a whole process, not a single prompt. A human signs off the
decisions that matter. When the model is unsure it falls back to plain rules. And
you can always see what it did and why.
LangGraph · Tool orchestration · Human-in-the-loop · Deterministic fallback
05
Knowledge & Document Intelligence
Contracts, filings, audit files and decades of unstructured archive turned into a
queryable, permission-aware knowledge layer that cites its sources every time, so
an answer can be checked, not just trusted.
Retrieval architecture · OCR & extraction · Citation enforcement · Permission-aware search
06
AI Governance, Security & Observability
Evaluation suites, drift detection, red-teaming, cost telemetry and audit
reporting. This is the control plane that lets a risk committee say yes, and keep saying
yes twelve months later.
Eval harness · Drift monitors · Red-teaming · Cost telemetry