AI Strategy & Integration

Designing and shipping generative AI in your real business processes (RAG, MCP, multi-agent orchestration), with the same technical and security rigor we apply to the rest of our work.

RAGMCPMulti-Agent Orchestration

What's included

Diagnosis of where AI adds real value in your operation, and where it would only add noise or risk without a clear benefit.
Solution architecture: which model, which data, which level of autonomy, and which security controls from the design stage (not bolted on after).
RAG implementation over your internal knowledge, with real per-user/per-role access control, not a single index open to everyone.
Integration via MCP with your existing tools, so AI operates inside your stack instead of becoming yet another isolated system.
Adoption and measurement plan: what counts as success, how it's measured, and how it's iterated on with real usage data.

How we work

We start from the business, not the trending technology. We prioritize use cases with measurable impact and controlled risk, and build to the same security standard we'd demand if we were auditing someone else's system.

Who this is for

Companies that want to adopt generative AI seriously (beyond a pilot that never reaches production) and value having it built by people who also understand how it breaks.

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Red Teaming Penetration Testing Social Engineering Wi-Fi & Physical Pentesting Strategic Cyber Intelligence Code Audits AI Agents for Business AI & LLM Security