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Services · Chief AI Officer

AI strategy consulting with an accountable executive owner.

AI strategy consulting and fractional Chief AI Officer leadership for growing SMBs: prioritize valuable workflows, set governance, select tools, improve adoption, and measure business outcomes.

Talk through the role All services

What we can own

Scope with
clear ownership.

  • AI opportunity and workflow portfolio
  • ChatGPT, Claude and agent operating model
  • Governance, permissions and human approval
  • Tool, model and vendor decisions
  • Adoption, evaluation and ROI measurement

You’re ready when

The signs are
already there.

  • AI use is spreading across tools and teams with no shared rules.
  • Pilots stalled before reaching production.
  • Your CTO is overloaded and AI decisions keep slipping.
  • Vendor and model choices are unresolved or duplicated.
  • Leadership cannot yet say which AI work is paying off.

A practical engagement

A 90-day AI operating plan that identifies priority workflows, configures the foundation, and ships the first measurable use case.

Scope, cadence, decision rights, and success measures are agreed before the engagement begins.

Book a call

Use cases

Where teams start.

Illustrative workflow patterns for this service.

All use cases
Leadership

From stalled AI pilot to production

Take a pilot that impressed in a demo but never shipped, decide whether it deserves production, and get it there with owners and controls.

See the workflow Leadership

A company-wide AI rollout with rules people follow

Move from scattered personal AI accounts to one approved setup, a short policy and a first set of shared workflows the whole company uses.

See the workflow Leadership

Quarterly AI usage and risk review

Each quarter, take stock of which AI tools people actually use, what data goes into them and how that matches policy, so leadership can approve, restrict or retire tools with evidence instead of guesswork.

See the workflow

Decision support

Answer the next question.

Useful comparisons and planning tools for this engagement.

GuideWhat a 90-day AI plan should includeTurn AI ambition into owned workflows, controls, implementation and measurement.GuideWhen to hire a fractional Chief AI OfficerSigns AI use is outpacing anyone deciding how it should work.GuideWrite an AI use policy in one weekA five-day sequence from current AI use to a published, owned policy.GuideBuild a 90-day AI planAssess, set the foundation, ship one measured workflow and plan the next quarter.GuideKeep customer data safe with AI toolsData rules, business accounts, scoped access and review before anything leaves.GuideDocument a workflow before automating itMap the real steps, decisions, exceptions and timing first.GuideAI agent vs workflow automationUse fixed rules where steps are predictable; add an agent only for judgement.GuideHow to choose a fractional Chief AI OfficerLook for workflow-first thinking, governance by design and a concrete 90-day plan.GuideAI governance for a smaller companyDefine tools, information boundaries, approval points and ownership.GuideAI workflow readiness assessmentTest one workflow for the operating conditions needed to implement it responsibly.

Questions

Common questions.

Do we need a Chief AI Officer to start using AI?

No. Teams can use AI without creating an executive role. Fractional Chief AI Officer support is useful when AI decisions span multiple workflows, data boundaries, vendors, teams, governance questions, and measurements that need one accountable owner.

Does a Chief AI Officer build the automations too?

The role owns the AI operating model and priorities. Implementation can include hands-on configuration, integrations, agents, and automation, or it can coordinate an internal or external delivery team. The engagement should separate executive ownership from delivery scope.

What should be measured in an AI program?

Measure the work the AI is meant to improve: completed work, cycle time, review effort, exceptions, quality, cost, adoption where relevant, and business outcomes. Usage volume by itself does not show whether the workflow improved.

Other ways to engage

Leadership or delivery.

All services
01 / Fractional CTO

Own the technology direction.

Architecture, vendors, technical roadmap, engineering decisions, risk, hiring support, and executive-level technology leadership.

03 / Product leadership

Move from idea to a product people can use.

Discovery, requirements, prioritization, product architecture, delivery management, validation, and iteration.

04 / Milestone + custom work

Give us the outcome.

Integrations, automations, prototypes, migrations, internal tools, AI applications, and custom software delivered against a defined milestone.

Bring the messy version

One workflow.
A better way to run it.

Show us the tools, the handoffs, and the part that keeps slowing your team down.

Let’s map your workflow Read our approach
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What would you like help with?

Get the main points in plain language.

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