AI Strategy & Roadmaps
Translate business objectives into a prioritized portfolio of AI initiatives and a phased delivery roadmap.
Expected outcomes
- Prioritized use-case portfolio
- 3-year AI capability roadmap
- Investment and operating model
Services
Advisory services from strategy to execution
An integrated set of engagements covering AI strategy, governance, technology, and executive advisory — delivered independently and grounded in leading standards.
AI Governance & Responsible AI
Design and operationalize an AI governance program grounded in ISO/IEC 42001, the NIST AI RMF, and responsible AI principles.
Expected outcomes
- AI governance operating model
- Policy and standards baseline
- Model inventory and oversight process
Technology Strategy
Align enterprise architecture, data platforms, and cloud strategy with an AI-ready operating model.
Expected outcomes
- Target-state architecture
- Data and platform sequencing plan
- Build/buy and sourcing recommendations
Cybersecurity & Risk
Extend cybersecurity, third-party risk, and privacy programs to cover AI systems and generative AI use.
Expected outcomes
- AI-specific threat and risk model
- Control mapping (NIST CSF, ISO 27001)
- GenAI acceptable-use guidance
AI Readiness Assessments
Evaluate data, platform, security, talent, and governance maturity to establish a defensible baseline and plan.
Expected outcomes
- Maturity baseline across six domains
- Gap analysis and prioritized backlog
- Executive readiness scorecard
Vendor & Platform Evaluations
Structured, independent evaluations of AI platforms, models, and vendors — free of platform incentives.
Expected outcomes
- Requirements and evaluation criteria
- Vendor short-list with scoring
- Contracting and risk considerations
Executive & Board Advisory
Ongoing counsel and board-ready materials that keep leadership aligned on AI opportunity, risk, and progress.
Expected outcomes
- Board briefing decks and narratives
- Executive workshops and offsites
- Quarterly AI progress reviews
AI Policy Development
Draft, refine, and roll out enterprise AI policies, standards, and acceptable-use guidance tailored to your organization.
Expected outcomes
- Enterprise AI policy suite
- Standards and control documentation
- Employee guidance and training inputs
Recruitment Services
Talent advisory for AI and technology teams
Independent talent advisory and executive search for organizations building AI, data, and technology teams.
Executive & Leadership Search
Identify and place senior technology and AI leaders who can shape strategy and build high-performing teams.
Expected outcomes
- Calibrated role profile and success criteria
- Curated short-list of vetted candidates
- Structured interview and assessment support
Technical Talent Acquisition
Source and evaluate specialized talent across engineering, data science, ML/AI, product, and cybersecurity.
Expected outcomes
- Role-specific competency frameworks
- Vetted technical candidate pipeline
- Offer and compensation benchmarking inputs
AI & Data Team Design
Define the structure, skills, and operating model for AI and data teams — from first hires to scaled delivery.
Expected outcomes
- Target team structure and role map
- Skills-gap analysis and hiring sequence
- Onboarding and enablement plan
Talent Strategy & Workforce Planning
Align workforce planning with technology strategy, covering build-vs-buy, upskilling, and contingent talent models.
Expected outcomes
- Workforce plan tied to capability roadmap
- Upskilling and retention recommendations
- Contour of internal vs. external talent mix
Ready to move from AI ambition to execution?
Book an introductory conversation. We'll help you frame the right next step.