Consulting for teams putting GenAI into production.

AI Coding Agents Rollout

Roll out Claude Code, Codex, Cursor or Windsurf to hundreds or thousands of engineers — with the controls your CISO and risk team will sign off on.

CTOs, VPs of Engineering, Developer Experience and Platform leads

6–10 weeks · pilot to org-wide

Scaled to 30,000+ users at a top-10 US bank.

What you get

• Tool evaluation & security review against your data classification
• Gateway integration (Bedrock, Vertex, Azure or direct API) with SSO and RBAC
• Managed settings, CLAUDE.md / AGENTS.md standards, hooks and MCP allow-lists
• Per-user token budgets, model routing and caching for cost control
• OpenTelemetry telemetry and an adoption & productivity dashboard
• Champions programme, enablement content and a release cadence for new models

GenAI Strategy & Architecture Review

A clear-eyed read on where GenAI will pay off for you, what to build vs. buy, and the reference architecture to get there without rework.

CEOs, CTOs, CIOs and Chief AI Officers starting or resetting a GenAI program

2–4 weeks · fixed scope

10+ years running Architecture Review Boards.

What you get

• Readiness assessment across data, platform, security and skills
• Prioritised use-case portfolio with value, risk and effort scoring
• Reference architecture and build / buy / partner recommendations
• Risk & compliance mapping (model risk, DPDP, sector regulators)
• 90-day roadmap, operating model and success metrics
• Architecture Review Board for in-flight GenAI designs

Agentic RAG & AI Platform Build

Design and ship knowledge assistants, code-review agents and internal AI platforms that hold up in production — not just in the demo.

Platform, ML and product engineering teams

8–12 weeks · or as a fractional lead

Built DeX (70+ platforms) and an AI code reviewer across 50,000+ repos.

What you get

• Retrieval design: ingestion, chunking, embeddings, reranking, freshness
• Agentic flows with answerability checks, query rewriting and critique
• Offline & online evals — accuracy, false-positive and dissatisfaction rates
• Guardrails, observability and multi-tenant access control
• Shadow-mode rollout plan and human hand-off paths
• Hands-on pairing with your engineers so the capability stays in-house

AI Governance, Security & LLM Cost

Make GenAI auditable, secure and affordable — before the regulator, the incident or the invoice forces the issue.

CISOs, CROs, GRC, FinOps and platform security teams

3–6 weeks

Partnered with Cyber to turn AI usage logs into live SOC alerts.

What you get

• Threat model for LLM apps, agents and MCP tool chains
• Cyber logging, attribution headers and SOC detection patterns for AI usage
• Sensitive-data guardrails and policy-to-runtime controls
• AI incident-response runbook and tabletop exercise
• Token FinOps: caching, routing, effort tuning, budgets and showback
• Evidence packs aligned to ISO 42001, NIST AI RMF and DPDP

Fractional Head of AI Engineering

Senior AI engineering leadership one to two days a week — strategy, architecture, hiring and delivery oversight — without a full-time executive hire.

Scale-ups, GCCs and mid-size enterprises building their first AI team

Monthly retainer · 3-month minimum

Led a ~50-person AI org across India and US time zones.

What you get

• AI roadmap ownership and leadership-team reporting
• Architecture and vendor decisions
• Hiring plans, interview loops and team design
• Delivery governance and engineering metrics