Capabilities
What it takes to get AI into production and keep it there.
Advisory, deployment, platform, trust and operations, held to one standard from first workshop to steady state.
Advisory
5 disciplines
AI Strategy
Board-level AI thesis, value maps and a sequenced portfolio tied to P&L outcomes.
AI Transformation
Operating-model redesign across people, process, platform and controls.
Executive Advisory
Standing counsel for CEO, CIO, CISO and board AI committees.
Enterprise AI Readiness
Quantified diagnostic across data, platform, talent, governance and risk.
Vendor Selection
Model, platform and integrator evaluation with defensible scoring.
Deployment
3 disciplines
Forward Deployed Engineers
Embedded engineers shipping production AI inside your environment.
Enterprise AI Office™
A fully staffed AI deployment organization operated on your behalf.
AI Program Management
Portfolio governance, stage gates, and executive reporting cadence.
Platform
5 disciplines
AI Architecture
Reference architectures for retrieval, agents, evaluation and observability.
LLM Deployment
Private model hosting, routing, caching and cost control at scale.
Custom AI Platforms
Internal AI platforms with tenancy, policy, audit and self-service.
AI Integration
Connecting AI to core systems: ERP, CRM, EHR, core banking, data mesh.
Agentic AI
Tool-using agents with permissioning, human checkpoints and rollback.
Trust
5 disciplines
AI Security
Threat modeling, red teaming, prompt-injection and data exfiltration defense.
AI Governance
Policy, model registry, approval workflow and lifecycle accountability.
Responsible AI
Fairness, transparency and human-oversight standards that survive audit.
Risk Assessments
Model, vendor and use-case risk tiering aligned to enterprise risk frameworks.
AI Compliance
EU AI Act, NIST AI RMF, ISO 42001 and sector regulator readiness.
Operations
5 disciplines
Model Evaluation
Golden datasets, offline and online evals, regression gates before release.
Prompt Engineering
Versioned prompt assets, testing harnesses and quality baselines.
AI Operations
SLOs, drift detection, incident response and continuous evaluation.
Managed AI Services
Run-state ownership of AI systems under contractual service levels.
AI Centers of Excellence
Standards, enablement and reusable assets that compound across the firm.
Next step
Book a working session.
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.