AI deployment as a service
Enterprise AI Office™
Most enterprises cannot hire an AI deployment organization fast enough to matter. So we run one for you. Advisory, engineering, security, governance and operations, under one owner.
The operating model
Establish
Weeks 0–4
Charter, intake process, risk tiering, platform baseline and first use-case selection.
Deploy
Weeks 4–12
Forward deployed engineers ship the first production system through evaluation and security gates.
Scale
Quarter 2
Reusable platform services, second and third waves, enablement across business units.
Operate
Ongoing
SLO-backed run state, continuous evaluation, drift and incident management, quarterly board reporting.
Intake
Risk tiering
Architecture review
Security certification
Evaluation gate
Production release
The team you receive
Chief AI Advisor
Sets the enterprise AI thesis and holds the executive relationship.
Forward Deployed Engineer
Ships production systems inside your environment, alongside your teams.
AI Architect
Owns reference architecture, integration patterns and platform standards.
AI Security Lead
Threat models, red teams and certifies every system before release.
AI Governance Lead
Runs intake, risk tiering, approvals and regulatory alignment.
AI Program Manager
Drives the portfolio, stage gates and executive reporting cadence.
Vendor Advisor
Evaluates models and platforms, negotiates terms, monitors assurance.
AI Operations Lead
Owns run-state: SLOs, evaluation, drift, incidents and cost.
Next step
Stand up your Enterprise AI Office™.
Sixty minutes with a Chief AI Advisor and a forward deployed engineer. We read your environment, name the blockers, and give you the shortest path to a system in production.