Six capabilities. One accountable engagement.

Move a useful AI idea from prototype to an owned production system, with the integrations, controls, evaluation and handover it needs to survive real use.

First engagement: Architecture sprint, 2–3 weeks

Turn quality from a subjective demo reaction into a repeatable operating system of datasets, evaluators, trace review and production signals.

First engagement: Evaluation baseline, 3–5 weeks

Assess and improve the security of AI-enabled applications across prompts, data, APIs, identities, tools and cloud infrastructure—not only the model endpoint.

First engagement: AI security assessment, 2–4 weeks

Translate AI policy and risk expectations into inventories, decision records, controls, evidence and operating responsibilities a team can actually maintain.

First engagement: Governance baseline, 3–5 weeks

Replace brittle manual handoffs with observable workflows that connect the tools a team already uses, preserve approvals and handle exceptions deliberately.

First engagement: Automation discovery, 1–2 weeks

Create the access, deployment, monitoring, backup and support layer that lets a small team run modern software and AI services without avoidable operational fragility.

First engagement: Operational baseline, 2–3 weeks