Revenue base
Current ARR or annual revenue. The foundation every multiplier acts on
Fractional AI Officer
A Fractional AI Officer for the AI you already run.
A fractional AI officer owns AI strategy, governance and the work needed to put agents into operation without a full-time executive hire. Sophizo works as an independent forward deployed team, setting R1 to R4 boundaries, named human owners and evidence that connects each workflow to an accountable decision.
Building with AI since 2016.
Independent of any single provider. The work starts with your operating needs and the controls they require. We set each agent's risk level, owner and approval boundary with your operators: R1 reads and drafts, R2 changes internal records, R3 acts externally only with approval, and R4 prepares while a human decides and executes. Who checks the agents?
02 / The ownership gap
Your company already runs AI. Nobody owns it.
Start with a Shadow-Agent AuditPersonal agents, browser chat tabs and unsanctioned tools can touch company data without an owner, audit trail or recovery process.
- 01HallucinationConfident wrong answers at scale.
- 02BiasHistorical data can reproduce historical patterns.
- 03Data LeakageSensitive records can reach third-party models.
- 04Agent Failure ModesPrompt injection, tool misuse and runaway loops.
- 05Shadow AIPersonal accounts can sit outside logging and recovery.
- 06Vendor ConcentrationA provider change can disrupt critical workflows.
03 / The seat
An executive, not an advisor.
The role
A part-time executive owner for AI strategy, governance and execution.
- Joins leadership decisions and sets priorities.
- Establishes guardrails and deploys useful workflows.
- Transfers capability to named internal owners.
Not the role
Not a generic consultant who hands over recommendations.
- Not a technology vendor or occasional advisory call.
- Not a full-time hire represented as fractional coverage.
- Not a strategy deck without accountable execution.
04 / First 90 days
Prove one workflow before you change the company.
- Days 1 to 30
Find the work worth testing
Assess readiness, audit workflows and identify a useful first priority.
- Days 31 to 60
Run it with guardrails
Deploy a bounded workflow with model selection, governance and hands-on team work.
- Days 61 to 90
Decide from evidence
Review outcomes, document the operating model and transfer capability to internal owners.
See the number before it lands.
Predictive AI Architecture
Our systematic approach combines predictive algorithms, velocity optimization, and mathematical attribution to eliminate revenue chaos.
- Predictive Algorithms
The model predicts outcomes before they appear in your CRM.
- Velocity Optimization
Small gains in both create exponential ROI improvement.
- Mathematical Attribution
Your board gets a formula, not a feeling.
- Revenue base
The foundation every multiplier acts on.
- Agentic efficiency
Operational cost recaptured through autonomous AI workflows.
- Execution speed
Sales cycle compression and throughput gains.
Read the full predictive model notes
- Predictive AlgorithmsEvery variable is instrumented with leading indicators. Not lagging reports. The model predicts outcomes before they appear in your CRM.
- Velocity OptimizationExecution speed (E) and generative quality (G) are the compound levers. Small gains in both create exponential ROI improvement.
- Mathematical AttributionEvery initiative traces to a variable. Every variable traces to EBITDA. Your board gets a formula, not a feeling.
AI_ROI = [(R × G) + (A × E) − I] / I
Generative output quality
AI-generated proposals, content, and deliverables that directly lift close rates
Agentic efficiency
Addressable operational cost recaptured through autonomous AI workflows
Execution speed
Sales cycle compression and throughput gains from AI-accelerated processes
Implementation cost
Total Sophizo engagement investment. The denominator that proves ROI
The Architecture Dividend
Companies that treat AI as architecture, not tool inventory, see compounding returns: every initiative builds on the data layer, governance frame, and operating cadence already in place. Companies that treat AI as a tool sprawl see flat ROI per pilot, then quiet shelving. The question is not whether AI works. The question is whether yours is architected to compound.
Compoundvs. flat per pilotArchitectedvs. assembled
06 / Governance that ships
Five artifacts your board can read. Not a slide deck.
AI Inventory
Live catalog of every AI tool in use, approved or shadow, with owner, data scope, and business process tagged.
Acceptable Use Policy
Plain-language rules your team can actually follow, written for the operator, not the lawyer.
AI Risk Register
Scored list of exposures by likelihood and dollarized impact, refreshed quarterly.
Vendor Assessment Framework
Standard checklist for every new AI tool: data handling, security posture, model transparency, exit terms.
Ethics and Oversight Charter
The document that tells your team where the human signature still lives, and why.
07 / Why Sophizo
Three things no other Fractional AI Officer combines.
CMT-trained pipeline intelligence
John Utley is a Chartered Market Technician (CMT) candidate with 14,000-plus hours of technical analysis study. That discipline is applied to pipeline timing, buyer behavior and capital flow signals.
Revenue architecture, not AI advice
Sophizo builds the operating layer: pipeline architecture, forecast governance, agent catalog and data model. Strategy and execution in one engagement.
Governance that runs the business
NIST AI RMF, EU AI Act and ISO 42001 controls are embedded into your agentic revenue motion. One architecture, not two.
Building with AI since 2016. Algorithmic trading, CRM, and IBM pedigree. Now focused on growth-stage companies that need AI leadership without the Fortune 500 price tag.
08 / The right stage
Built for companies moving fast, not enterprise IT.
Early-stage startups and small businesses.
Mid-stage startups and growing companies.
Late-stage startups and mid-size companies up to $200M revenue.
Also for PE operating partners.
09 / Before you decide
Straight answers.
What is a Fractional AI Officer?
A Fractional AI Officer is an embedded, part-time executive operator who owns an organization's AI strategy, governance, prioritization, and implementation. The role connects board-level decisions to practical workflows, named owners, and measurable outcomes, it is more than a technology vendor or an occasional advisory call.
How is a Fractional AI Officer different from a full-time Chief AI Officer or a generic consultant?
A Fractional AI Officer provides the leadership scope of a Chief AI Officer on a part-time basis, which suits companies that are not ready for a full-time executive hire. Unlike a generic consultant, the Fractional AI Officer stays accountable for decisions and execution: they work with the leadership team, build the operating model, establish governance, and transfer capability to internal owners rather than only delivering recommendations.
What does a fractional AI Officer actually do day-to-day?
They sit in your leadership meetings, own AI strategy decisions, evaluate vendors, design governance frameworks, and run hands-on implementation sprints with your team. Think of it as having a seasoned CAIO embedded in your company 2-3 days per week, without the $300K to $400K salary and 6-month search.
We already use AI assistants. Do we still need this?
Using AI tools and having an AI strategy are different things. Most companies are at the 'individual productivity' stage: scattered tool adoption with no governance, no compound workflows, and no measurement. A fractional AI Officer moves you from ad-hoc usage to bounded agent workflows with named owners, explicit decision rights, and human oversight at consequential points.
How is this different from hiring an AI consulting firm?
Consulting firms deliver a strategy deck and leave. We embed in your org, build the systems, train the team, and stay until you can run it without us. We're accountable to outcomes, not billable hours. Agentic AI Team packages carry a 12-month minimum. Advisory and fractional leadership engagements are month-to-month after the first quarter.
What size company is this for?
Startups and growing companies up to $200M in revenue. Large enough to benefit from AI-native operations, small enough that a full-time CAIO doesn't make financial sense yet. We've operated at large-company scale (CRM, IBM) and bring that rigor to companies still building their operating model.
How quickly do we see results?
First deliverable in 48 hours, typically an AI readiness assessment and priority map. First autonomous workflow deployed within 2-4 weeks. Full capability transfer and independence within 3-6 months. We measure success by how quickly we make ourselves unnecessary.
What makes Sophizo different from other Fractional AI Officers?
Three things no competitor combines: CMT-trained pipeline intelligence that applies capital flow pattern recognition to your pipeline timing, revenue operations architecture that connects AI deployment directly to pipeline and margin outcomes, and AI governance that satisfies your board and your compliance team simultaneously. Most fractional AI officers deliver strategy. Sophizo delivers the operating layer that executes it.
The next decision is yours.