AI Keynote Speaker.
Chris Hood is an AI keynote speaker with 35 years in AI and business transformation. He helps leaders cut hype, design agentic workflows, set governance, and turn strategy into outcomes. Book him for conferences, offsites, and leadership summits.
Download my one sheet and share it with your team.
Practical Solutions for Your AI Transformation.
Cut confusion, pick the right problems, and move to execution. I diagnose misalignment, vague use cases, vendor noise, governance gaps, and data risks. Audiences leave with clear decisions, a ranked use case list, an agentic workflow blueprint, a board-ready guardrails checklist, and a 30-60-90 plan with owners and KPIs.
Key Takeaways.
Problem diagnosis
Identify misalignment, vague use cases, vendor noise, and data risks.
Prioritized AI use cases
Rank 3 to 5 high-impact opportunities with clear selection criteria.
Agentic workflow blueprint
Map tasks to tools and APIs with roles, safeguards, and handoffs.
Governance and risk
Leave with a board-ready guardrails checklist and approval path.
AI readiness
Confirm sources, access, lineage, and privacy requirements.
Execution plan
A 30-60-90 roadmap with owners, KPIs, and review cadence.
Engage, Inspire, Transform.
Keynote Speaking
Keynotes that cut through hype and give leaders a clear AI strategy. Expect real use cases, actionable frameworks, and a call to act the same day.
Strategic Workshops
Align executives on priorities, map agentic workflows, and leave with a 90 day AI roadmap. Lock in guardrails, roles, and first pilots ready to run.
Executive Advisory
Partner with me to pick high impact use cases, design governance, guide vendor choices, and build the cadence that ships outcomes and reduces risk.
Previous Presentations.
Fixing AI Misalignment with Real Customer Needs
Align strategy, teams, and outcomes around customers
Choosing High Impact AI Use Cases that Matter
Score, rank, and sequence top opportunities
Moving From Pilot to Scale Without Chaos
Build 90 day plans with accountable owners
Installing Practical AI Governance People will Follow
Define guardrails, approvals, and monitoring habits
Reducing AI Risk in Real Operations
Identify failure paths and mitigate before launch
Orchestrating RAG and Tools for Reliability
Design retrieval and tool flows that execute
Building an AI Operating Model that Works
Clarify roles, cadence, incentives, and handoffs
Measuring AI ROI that Leaders Trust
Set baselines, choose KPIs, review results
Modernizing Vendor Evaluation and Buy or Build
Ask sharper questions, avoid lock in
Managing Human First in an AI World
Protect trust while scaling real automation
Turning Data Into Decisions and Actions
Link events to owners, SLAs, outcomes
Accelerating AI for Customer Success and CX
Automate right tasks and prove impact