Fractional Chief AI Officer

Fractional AI leadership
for firms that need
leverage, not experiments.

We embed as your Chief AI Officer, connect your existing systems into one source of truth, and deploy AI agents that reduce admin work and improve operating leverage — measurably, within 90 days.

$1.4M quarterly revenue, AI Authority Engine
5,000 leads at ~$5 / lead, zoning funnel
Built for the systems already running your business
SalesforceHubSpotProcoreNetSuiteKarboniManageClioQuickBooksMicrosoft 365ZapierNotionGo High Level SalesforceHubSpotProcoreNetSuiteKarboniManageClioQuickBooksMicrosoft 365ZapierNotionGo High Level
The gap

Most mid-market firms are stuck between AI hype and operational reality.

You have the pressure to move, but not the role to own it. A full-time Chief AI Officer is expensive. Generic consultants bring frameworks but not implementation. Software vendors solve narrow problems but never connect the business.

01

Nobody owns AI across the company.

Scattered ChatGPT use, half-finished automations, and no accountable leader for outcomes.

02

Data lives in five disconnected places.

Accounting, CRM, documents, communication, project systems — none of them speak to each other.

03

Senior people do junior work.

Intake, reporting, follow-ups, document drafting, status chasing — buried in cycles only experience can do.

04

Leadership can't ask the real questions.

Margin, capacity, risk, missed revenue — the answers exist, but cross-system, so nobody pulls them.

The STE framework

Strategy. Transformation. Education.

One accountable partner across the three things every AI rollout needs but rarely gets together.

S — Strategy 01

Where AI belongs in your business.

We advise leadership on what to build, what to buy, what to avoid, and how to sequence the roadmap so spend matches return.

  • Executive AI roadmap & prioritization
  • Buy-vs-build recommendations
  • Vendor & risk guidance
  • ROI projections by use case
T — Transformation 02

A connected source-of-truth, then agents.

We connect your existing tools into a usable data layer, then deploy AI agents inside an autonomous suggest-and-approve loop.

  • System connection & data layer
  • Agent deployment & iteration
  • Internal tools & dashboards
  • Workflow automation
E — Education 03

Adoption that doesn't depend on a champion.

Role-specific AI training so value compounds with the team — not in a folder of unused prompts.

  • Workshops by role
  • Practical, contextual prompts
  • Governance & safe-use playbooks
  • Internal AI champions program
What we build

Agentic infrastructure on top of the systems you already use.

We don't start by replacing your stack. We start by connecting it. Once the business has a reliable source-of-truth layer, we deploy AI agents that operate inside a suggest-and-approve loop: agents identify opportunities, draft actions, and prepare work for human approval.

Intake & qualification
Document automation
Project / matter intelligence
Client communication & follow-up
Knowledge management & internal search
Reporting dashboards & leadership visibility
See how we'd map this to your stack
Verticals

Built for professional services and project-based businesses.

We work where leverage matters most: senior experts, junior support teams, complex workflows, and value trapped between disconnected systems.

CPA Firms & Advisory

Reduce capacity pressure, accelerate close workflows, and give partners visibility into work, realization, and advisory opportunities.

  • Karbon
  • Canopy
  • Sage Intacct
  • QBO
  • CCH Axcess
See use cases →

Law Firms

Improve matter intake, document workflows, knowledge retrieval, and time intelligence — without adding another disconnected tool.

  • iManage
  • Aderant
  • Elite 3E
  • Clio
  • NetDocuments
See use cases →

Construction

Surface margin leakage, speed RFI and change-order workflows, and connect field, finance, and pre-construction data.

  • Procore
  • Sage 300 CRE
  • Autodesk
  • Bluebeam
  • Deltek
$1.4M generated in one quarter via AI Authority Engine
See case studies →

Private Equity

Repeatable AI value-creation playbooks for sector-focused portfolios with shared operating patterns and stacks.

  • Portfolio audits
  • Use-case libraries
  • Adoption programs
See approach →
Real systems. Real revenue.

Our work isn't limited to internal automation. It moves pipeline.

$1.4M
in quarterly revenue

AI Authority Engine for a construction company

A fractional AI CMO system that produced campaigns, ads, and funnel content to drive qualified demand across the quarter.

Construction Demand gen Fractional CMO
300leads
generated in Halifax, NS

Fractional AI CMO module, local construction

Local campaign strategy, ad creative, landing-page content, and lead-capture workflows — built around one regional market.

Halifax Local market CMO module
5,000@ ~$5/lead
via zoning intelligence funnel

AI-generated zoning intelligence funnel

Tied directly to city and government open data. The campaign educated prospects about zoning changes and converted at scale.

Open data Education funnel Mid-market
First step

Start with an AI Readiness Audit.

In two weeks, we interview leadership and key operators, audit your systems and workflows, identify the highest-leverage AI use cases, and deliver a 90-day implementation roadmap with ROI projections.

Audit deliverables $7,500
  • AI maturity scorebenchmark
  • Top 10 operational pain pointsranked
  • AI use-case mapto your stack
  • 90-day implementation roadmapsequenced
  • ROI projections by use case$ & hours
  • Buy-vs-build recommendationsvendor
  • Retainer proposal if there's fitoptional
Who we are

Operators building the AI layer mid-market firms actually need.

Our work combines executive AI strategy, systems integration, agentic workflow design, and practical team enablement — by people who've shipped before, not just slides.

Founder

Temi Abayomi

CEO of Lead Phoenix AI and fractional Chief AI Officer for mid-market professional services and project-based businesses.

Temi holds a PDEng professional degree in engineering from the Netherlands and a master's degree in computer science from Germany. Before Lead Phoenix AI, he built and exited an e-commerce company that launched two major brands across the US, UK, and Germany.

Outside work, Temi lives with his wife and two sons, who both love football and support rival teams: Manchester City and Arsenal.

FAQ

Common questions, direct answers.

What is a fractional Chief AI Officer?
A senior AI leader embedded part-time in your company to set strategy, prioritize opportunities, guide vendors, oversee implementation, and drive adoption — accountable for outcomes, not just decks.
Do you replace our existing software?
Usually no. We start by connecting and extending the systems you already use, then add an agent layer on top.
Do your agents act autonomously?
We use a suggest-and-approve model. Agents identify opportunities and prepare actions; humans approve important decisions before execution.
How long before we see value?
The target is measurable operating leverage within 90 days of starting implementation.
Do you work month to month?
Yes. The retainer is month-to-month because it should earn its place like an internal role.
Is our company data shared with other clients?
No. Client environments are kept separate. We do not share client data, documents, prompts, records, campaign data, or workflow outputs across clients.
What does the audit cost?
$7,500 over two weeks. Credited toward month one of a retainer if signed within 30 days.
Next step

Let's find the highest-ROI AI opportunities in your business — before you spend months guessing.

Schedule directly on Calendly. You will get a calendar invite and a short note on how to prepare.

Book a call