A clear set of priorities
Review how work gets done, identify where AI may help, and choose what to tackle first. Keep the effort, risks and business value in view.
A fractional Chief AI Officer for your business.
Someone who learns how your business works and helps your team put AI to work.
Work with Ben Neely on an ongoing basis to choose priorities, design workflows and move agreed improvements into practice. You get an AI leader involved in the work, with time and scope shaped around your company.
Company inquiry by email: [email protected]
Your team has ideas. You need a way to move them forward.
People are trying tools. Different teams see different opportunities. You need help deciding where to spend time and money, and someone who’ll stay involved as the work develops.
- Recurring work crosses teams and systems.
- You want a second set of eyes on an AI proposal or build-versus-buy decision.
- You need practical help getting a useful workflow started and adopted.
- You want your team to understand and improve the work over time.
What Ben can lead with your team
The work combines advice and agreed hands-on help. Depending on the scope, it can include:
Workflow design and practical tests
Map the steps, information and decisions involved. Work through expressly scoped setup, prototyping or co-building, then test the approach against real examples with your team.
Better tool and build decisions
Assess existing tools, compare options and define requirements when specialist implementation is needed.
People who can use and improve the work
Coach the relevant team members, clarify responsibilities and document how the workflow should be used, checked and supported.
A continuing view of what’s working
Review results, open questions and priorities. Decide together what to keep, change or stop as the business and the tools change.
Learn the business. Choose the work. Keep improving it.
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Begin with discovery
Talk with the people doing the work and look at real examples. Identify the bottlenecks, existing tools and constraints before choosing a solution.
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Agree on a first priority
Define the scope, the people involved and what a better result would look like. Establish the time, access and approvals the work needs.
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Work through it together
Design and test the approach within the agreed scope. Check accuracy, review effort and usefulness before relying on it more broadly.
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Decide what comes next
Review the evidence, clarify who will use and support the work, and choose the next step. The ongoing relationship gives each new priority the benefit of what we’ve already learned.
For example: customer follow-up
A team wants help keeping track of promises made on customer calls. A useful first workflow could pull those commitments from approved notes, draft a follow-up and put it in front of the right person for review.
Illustrative workflow, not a client result. The design and permissions would depend on the business.
- Which notes and customer records can it use?
- Who checks the draft before anything is sent?
- How will the team know what’s still waiting?
- Does it reduce missed follow-ups after checking and rework are counted?
Agree on the responsibilities before the work starts.
Ben leads the agreed AI work alongside your team. Your company provides a decision-maker, the people who know the process, and authorized access to the information the work needs.
You keep control of business decisions, spending, access and consequential changes. Production engineering, ongoing maintenance and incident response are scoped separately, with a named owner. We agree on additional work, cost and timing before expanding the engagement.
Questions about the engagement
What does “fractional” mean?
Ben works with your company on an ongoing, part-time basis. You agree on the time and scope the engagement needs, with priorities revisited as the work develops.
Is this advice, or will Ben help do the work?
Both can be part of the engagement. Ben can lead workflow design and expressly scoped hands-on setup, prototyping or co-building. Production engineering and ongoing support are scoped separately with clear responsibilities.
How is this different from one-on-one coaching?
Coaching centers on your own judgment, skills and work. Fractional CAIO centers on your company’s priorities and the work across your team. Coaching can be included when it helps people use and improve a workflow.
How much does it cost?
Scope, time and fees are discussed privately after an initial conversation. We’ll discuss the work you need, what the starting engagement can cover, and how any additional work would be approved.
How quickly can we get started?
We’ll confirm availability and timing when we discuss the scope. Early work includes learning your operations and choosing a first priority. The pace depends on access, complexity and the people involved.
Do we need to choose an AI platform first?
Start with the work you want to improve and the tools you already use. That gives us a basis for deciding what to keep, connect, buy or build.
Does this include ongoing technical support?
Ongoing technical maintenance and incident response are scoped separately. Each workflow needs a named operating owner and a clear path for support before the team relies on it.
What would you like to work on?
Bring a recurring problem, an AI decision you’re weighing or a workflow your team wants to improve. We’ll discuss whether an ongoing engagement is a fit.
Email about fractional CAIOCompany inquiry by email: [email protected]