Establish the baseline
Document the current technology, workflows, goals, ownership, and constraints.
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AI Officer
Put one accountable owner behind your AI roadmap.
Turn scattered tools, ideas, and pilots into a prioritized implementation sequence with practical governance and measurable operating value.
Book a SessionWhat this service does
An AI Officer provides part-time leadership for AI strategy and implementation. The role prioritizes opportunities, directs build-versus-buy decisions, defines data and human-review requirements, oversees selected work, and reports results against practical business measures.
- InventoryCurrent tools, pilots, workflows, risks and opportunities.
- PrioritizeRank by value, feasibility, risk and dependency.
- DecideBuild, buy, integrate, govern or stop.
- OverseeSelected internal work, vendors and custom builds.
- ReportAdoption and results against a credible baseline.
Best fit
This becomes useful when AI activity has outgrown informal ownership.
- Teams are testing tools without a shared roadmap or selection method
- No leader owns priorities, implementation dependencies, or business value
- Vendors and platforms need to be evaluated against the operating process
- Leadership needs governance, adoption, and measurement without adding a full-time role
The outcome
What the role is responsible for
- Inventory current tools, pilots, workflows, risks, and opportunities
- Prioritize initiatives by value, feasibility, risk, and dependency
- Direct build, buy, integration, governance, and stop decisions
- Report adoption and operating results against a credible baseline
How the work moves
A defined process from current state to handover.
Set the roadmap
Rank initiatives and define the dependencies, measures, and review gates for each.
Direct implementation
Coordinate the selected internal work, vendors, and custom builds.
Review value
Report progress, adoption, risk, and operating results on a recurring leadership cadence.
Ownership
Built around the work. Owned by you.
The business owns its accounts, data, decisions, and implementation assets. The AI Officer provides accountable leadership, documentation, and continuity across the roadmap.
Questions
What to know before the Strategy Session
How is this different from a single workflow build?
A workflow build solves one defined process. The AI Officer owns the sequence across multiple opportunities, dependencies, teams, or vendors.
Does the role include implementation?
The role can direct and deliver selected implementation work, coordinate specialists, or combine both. The responsibility remains clear even when more than one contributor is involved.
How is AI value measured?
Each initiative is tied to the operating measure it is intended to change, such as time, cost, quality, capacity, customer response, completed volume, or revenue movement.
Does the role include governance?
Yes. Governance includes approved use cases, data access, permissions, human review, vendor evaluation, documentation, monitoring, and escalation paths.
Is there a fractional AI leader who also trains the team to run what they build?
Yes. Enabling the people who will run AI comes before implementation, and every system is handed over with written documentation that explains what runs, who owns it and what to watch.
What does AI enablement before implementation mean?
The skill to build first is AI enablement, before implementation. Anthropic's AI Fluency course, built with university partners, names four competencies for working with AI: delegation, description, discernment and diligence. For example, I trained a customer success manager to use Claude automations so they could expand the scope of AI implementation in their own work.
When does a business not need an AI Officer?
When there is one process to fix. If a single workflow is the constraint, a one-time workflow build is the better fit. The AI Officer role earns its place when AI work spans several teams, tools or vendors and nobody owns the order of work, the risks or the results.
How do you keep the team from resisting the rollout?
The people who do the work pick the first task, and the limits are written down, including what the AI will not be used for. The team measures the result itself and presents it, so the first project belongs to the people it affects.
Bring the current process, the tools involved, and the outcome you need.
The Strategy Session will turn them into a defined plan and useful next step.