Help People Use AI in the Job They Have
Name the roles, the tasks worth trying, and the approved assistant, and leave people with prompts and workflows they can use on a normal day, plus the rule for company information.
Fractional CAIO
A Fractional CAIO for the AI Decisions in Front of You.
A fractional CAIO, also called a fractional chief AI officer, is part-time AI leadership for owners of small and mid-sized manufacturers and distributors, and EdgePoint uses the role to decide how people use AI in their jobs, which processes to redesign around assistants and agents, which platforms to adopt, and which rules keep the work safe.
Start with the business
Where Should AI Change the Work?
EdgePoint applies AI on two levels: individual capability helps a person use an approved tool to do the current job better and faster, with prompts, workflows, and safe-use guidance, and process redesign changes the workflow so an assistant, agent, or automation carries specific steps, with a person still accountable for the outcome. A fractional CAIO holds both levels, chooses the platform, and sets the governance.
Talk through your situationChange the Process Around an Assistant or Agent
Redraw the process map, and mark the steps an assistant drafts, the steps an agent or automation runs, and the reviews a person keeps.
Choose the Platform and Write the Rules
Match the job to a frontier model, Microsoft Copilot, or an open-weight model, and write the acceptable-use policy, the access rules, and where human review is required.
When you need a fractional CAIO
One Owner for Priorities, Adoption, and Results.
A fractional CAIO sets the portfolio, the boundaries, and the measure of whether a pilot is worth expanding.
AI leadership can sit with a fractional CIO when one executive should hold technology and AI together, and a fractional CAIO fits when several uses are competing, when Microsoft Copilot adoption needs a plan, or when leadership wants a single owner for the result.
Priorities Ranked by Value and Risk
Rank opportunities by value, effort, data readiness, and risk, and pursue one bounded pilot at a time.
Rules People Can Follow
Write the acceptable-use policy, name the approved tools, and mark where a person must review the output.
Know Whether to Expand, Refine, or Stop
Pair the pilot with role-based enablement, a baseline, and a decision to expand, refine, or stop.
A Next Step When the Process Should Change
When a process should change, the work continues as an agent pilot or as software, and the CAIO keeps the outcome and the rules.
Platform fit
Platforms That Fit the Job.
EdgePoint is vendor-neutral, so the platform follows the task, the sensitivity of the data, the cost at the volume you expect, and how much control you need. Governance and security are part of the choice, in the same way they are part of any other system decision.
Frontier Models
Anthropic Claude, OpenAI ChatGPT and GPT, and xAI Grok are strong general assistants for drafting, analysis, research, and individual work, under a written rule for what company information may be used.
Microsoft 365 Copilot Chat
The conversational Copilot experience for questions, drafting, and summary, using the Microsoft 365 content a person is already allowed to open.
Copilot Cowork
Delegated, multi-step work across Microsoft 365, where a person describes the outcome, Cowork carries out the steps, and approval stays with that person.
Copilot Agents
Repeatable business tasks, including agents built in Copilot Studio, with the permissions, actions, and human checkpoints you define.
Open-Weight Models
A fit when data sensitivity, cost, control, or on-prem or private hosting matters, and the model quality is enough for that specific task.
How to choose
Frontier, Copilot, or Open-Weight?
Start with the work and the information, because a manufacturer or distributor can approve more than one tool, and the acceptable-use policy names which tool is for which kind of work, with a person still accountable for the result.
A Frontier Model
Choose Claude, ChatGPT, or Grok when the job is open-ended drafting, analysis, or research, and the information is allowed in that service, matching the model to the task.
Microsoft Copilot
Choose Copilot when the work already lives in Microsoft 365 and should follow existing permissions. Microsoft 365 Copilot Chat fits individual questions and drafting, Copilot Cowork fits a delegated multi-step outcome, and a Copilot agent, often built in Copilot Studio, fits when the same task should run repeatedly.
An Open-Weight Model
Choose an open-weight model when customer, product, or plant data should stay in an environment you control, when volume makes a hosted API hard to justify, or when a narrow task runs well on a model you operate, and plan for hosting, monitoring, and the quality tradeoff.
What you leave with
Leave with AI Priorities You Can Act On.
The written scope names which of these outputs fit the work in front of you.
The right involvement may be advice, hands-on work, delivery oversight, or requirements for another provider.
What You Take Back
- AI use-case portfolio and prioritization
- Role-based Copilot or ChatGPT enablement plan
- Redesigned process maps with AI steps
- Agent build and pilot
- Model and platform selection
- AI governance and acceptable-use policy
Common questions
Fractional CAIO Questions.
What is a fractional CAIO, or fractional chief AI officer?
A fractional CAIO, or fractional chief AI officer, is a part-time executive who owns how a small or mid-sized manufacturer or distributor applies AI. With EdgePoint, the scope covers employee enablement, process redesign, platform choice across frontier models, Microsoft Copilot, and open-weight models, and the governance people follow. The schedule is sized to the decisions in front of the company, the scope, deliverables, and fees are agreed in writing before work begins, and starting prices are on the pricing page.
What does a fractional chief AI officer do for a small or mid-sized business?
For a small or mid-sized manufacturer or distributor, a fractional chief AI officer decides which AI uses are worth the company's time. The work ranks those uses, shows employees how to use an approved tool in the job they already have, and changes a process only when an assistant, agent, or automation should carry a specific step. EdgePoint does this as a fractional CAIO on a part-time schedule, with a written scope before work begins.
How does a fractional CAIO work with EdgePoint?
EdgePoint provides a fractional chief AI officer for the hours the decisions require, on a recurring schedule or for one defined project. The work sets priorities and acceptable-use rules, chooses among frontier models such as Anthropic Claude, OpenAI ChatGPT, and xAI Grok, Microsoft Copilot Chat, Copilot Cowork, and Copilot agents, and open-weight models when the value and the risk line up, and hands a decided step to enablement, an agent pilot, or software delivery. Technology leadership can stay with a fractional CIO, and security leadership can stay with a fractional CISO. Fees are agreed in writing, and starting prices are on the pricing page.
What is the difference between employee AI enablement and process redesign?
Employee AI enablement helps a person use an approved assistant, such as Microsoft 365 Copilot Chat or ChatGPT, to do the current job better and faster, while process redesign changes the workflow itself so an assistant, agent, or automation takes specific steps and the handoffs, reviews, and owners change with that workflow.
Should a manufacturer use Microsoft Copilot or ChatGPT?
Use Microsoft Copilot when the work lives in Microsoft 365 and should follow the permissions people already have: Microsoft 365 Copilot Chat for individual questions and drafting, Copilot Cowork for a delegated multi-step outcome with approval, and a Copilot agent, including one built in Copilot Studio, for a repeatable task. Use ChatGPT, Claude, or Grok when the task reaches beyond the Microsoft 365 tenant, or when a role needs a frontier model for reasoning and drafting under a written data rule, and one acceptable-use policy can approve more than one tool.
When do open-weight models make sense?
Open-weight models make sense when the value and the risk line up, for reasons such as sensitive customer, product, or plant data that should stay on-prem or in a private environment, a volume that makes hosted API cost hard to justify, or a narrow task that runs well on a model you control. The decision includes the quality, support, and operating work that private hosting requires, and, for general employee chat, a frontier model or Microsoft Copilot is the simpler approved tool when the data rules allow it.
What Needs to Work Better in Your Business?
Start with the question, challenge, or opportunity on your mind.