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If you’re considering a Fractional Chief AI Officer, you’re probably wondering what they actually do day to day. This article breaks down a realistic week in a Fractional CAIO engagement—from leadership strategy sessions and workflow audits to implementation oversight, training, governance updates, and vendor evaluations—plus the concrete deliverables that drive results.

When you’re considering hiring a Fractional Chief AI Officer, one of the most practical questions is simply: what do they actually do? The title sounds impressive, but what does the day-to-day work look like? How do they spend their time with your company?
This article pulls back the curtain on a typical Fractional CAIO engagement, showing you how these executives divide their time, what deliverables they produce, and how their work translates into business outcomes. We’ll walk through a representative week to give you a concrete sense of what this engagement looks like in practice.
Most Fractional CAIO engagements operate on a monthly retainer model, with the CAIO dedicating a set number of hours to your company each month. A typical mid-tier engagement might include 15-20 hours monthly, which translates to roughly 4-5 hours per week.
Those hours aren’t spent continuously—the Fractional CAIO isn’t sitting in your office four hours every Tuesday. Instead, the time is distributed across scheduled meetings, asynchronous work, and ad-hoc consultations throughout the month.
The specific allocation varies by engagement phase. Early in the relationship, more time goes toward discovery, assessment, and strategy development. Once foundations are in place, the balance shifts toward implementation oversight, team training, and ongoing advisory support.
During the first 60-90 days of an engagement, a Fractional CAIO’s week might look something like this.
Monday includes a 90-minute leadership strategy session with the CEO and COO. This weekly meeting reviews AI initiative progress, addresses blockers, and makes key decisions. The CAIO comes prepared with updates, recommendations, and discussion topics. Following the meeting, the CAIO spends 30 minutes on follow-up documentation and action item tracking.
Tuesday involves 2 hours of deep-dive process analysis. This week, the focus is on the customer service function. The CAIO observes workflows, interviews team members, and documents current-state processes to identify AI automation opportunities. Another 30 minutes goes to vendor research, evaluating AI tools that could address identified use cases.
Wednesday brings a 60-minute AI working group meeting. This cross-functional group includes representatives from operations, marketing, finance, and customer service. The CAIO facilitates discussion of pilot projects, shares progress updates, and gathers feedback from front-line perspectives. Following the meeting, there’s 30 minutes of asynchronous communication answering Slack questions and providing quick guidance to team members.
Thursday features 90 minutes of implementation oversight. The CAIO reviews a pilot project deploying AI-assisted scheduling, checking technical setup, testing outputs, and refining prompts. They document lessons learned and prepare training materials for broader rollout.
Friday includes a 60-minute CEO check-in call. This shorter weekly touchpoint allows for quick questions, emerging issues, and alignment on priorities for the coming week. The CAIO also spends 30 minutes on industry monitoring, reviewing AI developments relevant to the client’s industry and noting tools or approaches worth exploring.
Once the initial strategy is established and early pilots are running, the weekly rhythm shifts.
Monday still features the 60-minute leadership strategy session, though meetings may become biweekly as the team gains confidence. The CAIO continues to provide strategic guidance and help navigate decisions.
Tuesday involves 90 minutes of team training. This session teaches the marketing team how to use AI tools for content creation, including prompt engineering best practices and quality review processes.
Wednesday includes 60 minutes of implementation review. The CAIO checks on deployed solutions, reviews performance metrics, and identifies optimization opportunities. Another 45 minutes goes to governance review, updating AI usage policies and addressing any compliance or ethical considerations that have emerged.
Thursday features 60 minutes of vendor evaluation. The team is considering a new AI-powered CRM integration, and the CAIO leads the technical assessment, comparing options against requirements.
Friday brings 30 minutes of quick advisory calls. Team members schedule brief calls to get CAIO input on specific challenges or decisions.
Beyond meeting time, a Fractional CAIO produces concrete deliverables that guide and document AI initiatives.
The AI strategy and roadmap is a foundational document that outlines the organization’s AI vision, prioritized use cases, implementation timeline, and success metrics. This typically gets developed in the first 30-60 days and updated quarterly.
The AI governance policy establishes guidelines for responsible AI use, including data handling, quality review processes, ethical considerations, and compliance requirements. This document protects the organization and provides clarity for teams.
Use case documentation provides detailed specifications for each AI initiative, including business objectives, technical requirements, implementation approach, and expected outcomes. These documents ensure alignment and enable knowledge transfer.
Training materials include guides, templates, and recorded sessions that help team members adopt AI tools effectively. Good training materials have lasting value beyond the CAIO engagement.
Vendor assessments offer objective evaluations of AI tools and platforms the organization is considering. These assessments compare features, pricing, integration requirements, and fit with organizational needs.
Performance dashboards establish metrics and reporting frameworks to track AI initiative success. These dashboards help leadership understand ROI and identify optimization opportunities.
A Fractional CAIO isn’t a solo operator—they work through and with your existing team to drive AI adoption. Understanding these collaboration dynamics helps set expectations.
With executive leadership, the CAIO serves as a strategic advisor and peer. They participate in leadership discussions, provide AI perspective on business decisions, and help executives understand implications of AI developments for the organization.
With department heads, the CAIO partners to identify department-specific AI opportunities, oversee implementation within each function, and ensure AI initiatives align with departmental goals.
With front-line employees, the CAIO provides training, gathers feedback on tool usability, and helps people see AI as an enabler rather than a threat. Successful AI adoption requires buy-in at all levels.
With IT and technology teams, the CAIO coordinates technical requirements, ensures proper security and integration, and provides guidance on AI-specific infrastructure needs.
With external vendors and partners, the CAIO leads evaluation of AI tools, negotiates on behalf of the organization, and manages vendor relationships for AI-specific solutions.
After 6-12 months of working with a Fractional CAIO, successful engagements typically show measurable progress across several dimensions.
Operational efficiency improves as AI automation handles previously manual tasks. Companies often report 5-15 hours saved per employee per week on targeted processes.
Revenue and lead generation benefit from AI-enhanced marketing, sales support, and customer engagement. Companies see improved conversion rates, faster response times, and more personalized customer experiences.
Team capability grows as employees become confident AI users. The organization develops internal expertise and reduces dependence on external support over time.
Strategic clarity emerges as leadership develops a shared understanding of AI’s role in the business and a roadmap for continued evolution.
Competitive positioning strengthens as the company can authentically communicate its AI capabilities to customers, partners, and talent.
To get the most from a Fractional CAIO engagement, organizations should ensure certain conditions are in place.
Executive sponsorship matters enormously. The CEO or another senior leader should champion AI initiatives, signal their importance to the organization, and help remove blockers when they arise.
Dedicated points of contact help the CAIO work efficiently. Having identified liaisons in key departments accelerates communication and decision-making.
Realistic expectations acknowledge that AI transformation takes time. Quick wins are possible, but lasting organizational change typically unfolds over 12-18 months or more.
Resource commitment means being prepared to invest in tools, training, and implementation support beyond the CAIO’s strategic guidance. Strategy without execution resources remains theoretical.
A Fractional Chief AI Officer brings expertise, frameworks, and executive leadership to your AI journey. Understanding how they actually spend their time helps you evaluate fit, set expectations, and prepare your organization to maximize the value of the engagement.
The FS Agency provides Fractional Chief AI Officer services for mid-sized businesses ready to implement AI strategically. Our tiered engagement packages start at $5,000 per month.
Contact us: fsagency.co/ai-consulting | 303-578-8299

Amber S. Hoffman
Founder & CEO, The FS Agency
Amber helps home service owners scale smarter through marketing, systems, and strategy — bringing years of leadership and franchise experience.