Reference
Answers
Direct answers to the questions mid-market leaders actually ask about fractional CTOs, agentic AI, and technology transformation. Every answer is written to stand on its own. If something here is missing, email matt@precisionlogic.ai and it will be added.
Fractional CTO
What is a fractional CTO?
A fractional CTO is a senior technology executive who works with a company part time on an ongoing basis while holding full CTO responsibility: strategy, architecture, vendor decisions, team structure, and board communication. The difference from a full-time CTO is cost and time to onboard, not seniority or scope of authority.
How much does a fractional CTO cost?
Fractional CTO engagements generally range from $5,000 to $25,000 per month depending on seniority and time commitment. PrecisionLogic engagements run $12,000 to $15,000 per month. For comparison, a full-time CTO at equivalent seniority costs $350,000 to $500,000 loaded and takes four to six months to hire.
When should a company hire a fractional CTO?
When technology decisions are becoming expensive to reverse and nobody senior owns them. Common triggers are an ATS or ERP replatform, an AI vendor evaluation, a board or PE sponsor asking about technology strategy, or growth that has outpaced the systems.
What is the difference between a fractional CTO and a CTO consultant?
A consultant is engaged for a defined project and hands off a recommendation. A fractional CTO holds an ongoing seat on the leadership team, owns outcomes rather than deliverables, and is still there when the decision plays out.
What is the difference between a fractional CTO and a virtual CTO?
The terms are used interchangeably by most firms. Where a distinction is drawn, virtual implies advisory and remote, while fractional implies a defined ongoing time commitment and real decision authority. PrecisionLogic operates on the fractional definition.
How many hours per week does a fractional CTO work?
Typically 10 to 25 hours per week. The specific number matters less than availability. Being reachable in the week a decision has to be made is most of the value.
How long do fractional CTO engagements last?
Most run 6 to 18 months and many extend past that. Six months is roughly the minimum for roadmap decisions to show up in operating metrics.
Can a fractional CTO replace a full-time CTO?
For most companies under 200 employees with fewer than eight engineers, yes. Above that scale a fractional CTO usually becomes a bridge, and part of the job is writing the job spec and helping run the search.
Does a fractional CTO manage the engineering team?
Often, yes. That includes structure, hiring, performance, and vendor management. In PrecisionLogic engagements the fractional CTO is also hands-on in architecture and build.
What size company needs a fractional CTO?
The typical fit is $10M to $100M in revenue with 30 to 200 employees and zero to two internal IT staff. Below that, the fixed cost is hard to justify. Above it, a full-time hire usually makes more sense.
What should a fractional CTO deliver in the first 90 days?
A technology roadmap with sequencing, a stack inventory with cost and utilization, an assessment of where automation returns most, and at least one thing shipped. If 90 days pass with nothing in production, the engagement is drifting.
Do fractional CTOs work with private equity backed companies?
Frequently. PE sponsors often want senior technology judgment during a hold period without adding a permanent executive line. Technical due diligence, post-acquisition integration, and platform consolidation are common scopes.
Fractional Chief AI Officer
What is a fractional Chief AI Officer?
A fractional Chief AI Officer, or fractional CAIO, is a senior executive who owns a company's AI strategy, governance, and board reporting on an ongoing part-time basis. The role covers use-case prioritization, build versus buy, data and model policy, risk and bias controls, and the AI narrative the board hears.
What is the difference between a fractional CAIO and a fractional CTO?
Scope. A fractional CAIO focuses on AI strategy, governance, and board reporting. A fractional CTO owns the whole technology function, with AI as one part of it. Choose the CAIO framing when AI is the central strategic question and the rest of the stack is stable.
How much does a fractional Chief AI Officer cost?
Across the market, fractional CAIO engagements typically run $5,000 to $30,000 per month, against $300,000 to $550,000 loaded for a full-time Chief AI Officer. PrecisionLogic engagements run $12,000 to $15,000 per month, the same price as the Fractional CTO seat.
When does a company need a fractional CAIO?
Three signals. AI is one strategic priority among several rather than the whole company focus. AI governance needs an owner and there is no internal AI team. The board or sponsor is asking about AI and nobody is accountable for the answer.
Does a fractional CAIO replace our CTO or IT lead?
No. The role sits alongside them, adding a strategic AI layer above infrastructure and support without displacing anyone. Where there is no senior technology voice at all, a fractional CTO engagement usually fits better.
Who should own AI governance in a mid-market company?
Someone named, which today is usually nobody. Governance means written policy on which data goes to which models, documented criteria wherever AI influences a decision about a person, logging that makes decisions auditable afterward, and a human accountable for each system in production.
Is the Chief AI Officer role actually being adopted?
Rapidly. IBM data shows adoption grew from 26% to 76% of surveyed organizations in a single year, making it the fastest-growing C-suite role of 2026. Organizations with a dedicated AI owner report roughly 10% higher return on AI investment.
Agentic AI
What is agentic AI?
Agentic AI is software that takes multi-step actions toward a goal rather than producing a single response. An agent reads data from your systems, decides what to do next, takes the action, and reports back. The distinguishing feature is that it acts, not that it answers.
What is the difference between an AI agent and a chatbot?
A chatbot responds to a prompt. An agent has tools, permissions, memory, and a defined role in a workflow. Give a chatbot a resume and it summarizes. Give an agent a requisition and it sources, scores, drafts outreach, and schedules.
What is the difference between automation and agentic AI?
Automation follows a fixed script and breaks when the input varies. An agent evaluates the situation and chooses among available tools. Automation is a rule. An agent is a decision.
How long does it take to build a custom AI agent?
A scoped single-workflow agent with a human in the loop typically ships in 4 to 8 weeks after workflow mapping. Multi-system agents take longer, mostly due to integration and permissions rather than the AI itself.
How much does a custom AI agent cost to build?
PrecisionLogic sells builds as fixed-fee packages between $3,500 and $20,000, or includes build work inside an ongoing Fractional CTO engagement. Across the wider market, a single production agent commonly runs $25,000 to $150,000 as a standalone project depending on integration depth.
What workflows are best suited to AI agents?
High volume, rules heavy, low judgment work where the inputs already live in a system. Screening and scoring, data entry and enrichment, first-draft generation with human approval, scheduling, compliance documentation, and recurring reporting.
What workflows should not be automated with agents?
Work where the criteria genuinely change every time, decisions with legal or safety exposure and no human in the loop, and any process where the underlying data is too poor for a person to do the job either.
Do we need clean data before building AI agents?
Not perfect data, but honest data. Discovery establishes whether the source data can support the decision you want automated. A meaningful share of failed AI projects are data problems that were labeled as AI problems.
Which AI model should we use?
It depends on the workflow. Evaluate on cost, latency, accuracy, and data residency per use case, and architect so the model can be swapped without a rebuild. Assume you will change models at least once during any build.
Who owns the AI agents a consultant builds?
You should. In PrecisionLogic engagements, code, prompts, configuration, and documentation are the client property, held in the client repositories and accounts. Any arrangement where the vendor holds the artifacts creates a dependency you did not buy.
What happens to AI agents when the models change?
They need maintenance. Model deprecations, pricing changes, and capability shifts are routine. In an ongoing engagement that is handled as it lands. In a project engagement it becomes a change order, which is one reason projects age badly.
Will AI agents replace employees?
In practice agents take tasks, not roles. The common outcome is the same headcount handling materially more volume with more time spent on judgment work. Any vendor promising specific headcount reduction on a timeline is guessing.
How do you keep a human in the loop?
The first version of an agent proposes and a person approves. Every action and every human override is logged. Autonomy is expanded only where measured accuracy supports it, workflow by workflow.
How do you measure whether an AI agent is working?
Against a baseline captured before the build. Time per unit of work, error and rework rate, throughput, and human override rate. Override rate is the most useful early signal, because it tells you where the agent is wrong before the metrics do.
What is agentic transformation?
Rebuilding how a company operates on the assumption that agents handle a large share of structured work, rather than adding AI features to existing process. It is an operating model exercise involving roles, sequencing, and decision rights, not a tool rollout.
How do you calculate the ROI of an AI agent?
Measure three things before the build: time per unit of work, error and rework cost, and throughput ceiling. After launch, compare those same numbers. Most mid-market agents pay back within two to four months on time savings alone. The harder return to measure, and often the larger one, is work that was not getting done at all.
Agentic AI builds
Can I buy an AI build without a fractional CTO engagement?
Yes. Agentic AI builds are sold as standalone fixed-fee packages. Some clients start with one build and add a Fractional CTO engagement later, and some never do. Both paths are fine, and we will not push you toward the larger commitment if the build is what you need.
How much does an agentic AI project cost?
Most PrecisionLogic build packages run between $3,500 and $20,000 as a fixed fee, depending on integration depth and how many systems the agent touches. Payment is 50% at kickoff and 50% on acceptance. Model and API usage costs are billed to your accounts directly.
Who actually builds the agents?
Matt Miller scopes the work, designs the architecture, and reviews every deliverable before it ships. PrecisionLogic is the prime on every engagement and is accountable for the result.
How is this different from hiring an AI freelancer directly?
Price, mostly in the freelancer favor. What you do not get from a freelancer is someone who has run technology inside a services business deciding what to build, what not to build, and whether the work that came back is correct. Every deliverable here passes a written quality checklist before it reaches you.
What happens if a fixed-fee project runs over?
The fee is fixed, so an overrun inside the agreed scope is absorbed rather than invoiced. Scope changes go through a written change order. That is why scoping carefully before you sign matters more than moving fast to a start date.
Who owns the intellectual property if a subcontractor writes the code?
You do. The assignment chain is papered end to end: the engineer assigns to PrecisionLogic, and PrecisionLogic assigns to you on final payment. Code, prompts, configuration, and documentation land in your repositories and accounts.
Is my data safe if outside engineers are involved?
Everyone working on an engagement is under a confidentiality agreement covering client data, which matters most where candidate or customer records are involved. Access is scoped to what the build requires and revoked on delivery.
Can you maintain an agent after it ships?
Yes. Ongoing maintenance can be added as a support package or handled inside a Fractional CTO engagement. Builds are architected so a model swap costs days rather than a rebuild, which is what most maintenance turns out to be.
What technology stack do you use to build agents?
It depends on the use case. Most builds use Python or TypeScript, one or more large language models chosen per workflow, and the APIs of whatever systems the client already runs. We do not sell a proprietary platform. The stack is selected for the problem rather than the other way around.
AI in staffing and recruiting
How do staffing firms use AI?
Most usefully in sourcing and matching, candidate screening and ranking, interview scheduling, back office and compliance documentation, and commission and pipeline reporting. The common thread is high volume with defined criteria.
Will AI replace recruiters?
No, and firms that try tend to lose the relationship they are selling. AI takes the sourcing, screening, scheduling, and documentation load. Recruiters keep client conversations, closing, and judgment. The result is more requisitions per recruiter, not fewer recruiters.
Can AI agents work with Bullhorn?
Yes. Bullhorn, Loxo, Salesforce, HubSpot, and RecruiterFlow all support agent integration through their APIs. Agents are built against the ATS you already run rather than requiring migration to a new platform.
Should we replace our ATS or build on top of it?
Audit first. Most staffing firms use a fraction of what they already pay for, and migrations are expensive and disruptive. Replatform when the system genuinely cannot support how you work now, not because the interface feels dated.
How do you avoid bias when AI screens candidates?
Make the scoring criteria explicit and documented, expose the reasoning rather than hiding it, log every decision, and keep a human approving at the decision point. Auditability has to be a build requirement, not something added after a complaint.
How long does an ATS migration take?
For a mid-market staffing firm, typically four to nine months from selection to stable go-live, with data migration and integration consuming most of it. Firms that compress it below four months usually pay for it in data quality.
Is our candidate database actually valuable?
Usually more than firms assume, and usually underused. Most firms re-source candidates they already have because the existing records are hard to search. Making that database usable is often the highest-return first project.
Working with PrecisionLogic
What does PrecisionLogic do?
PrecisionLogic provides Fractional CTO leadership and custom agentic AI development to mid-market services businesses. Fractional CTO engagements are ongoing and monthly; agentic AI builds are fixed-fee packages. It is based in Los Angeles and was founded by Matt Miller, a 20-year technology leader and former staffing-industry CTO.
Who is PrecisionLogic for?
Services and operations-heavy businesses between $10M and $100M in revenue with 30 to 200 employees and zero to two internal IT staff. Staffing and recruiting is the deepest vertical, with professional services, marketing agencies, and healthcare services close behind.
How is PrecisionLogic different from a consulting firm?
Consulting firms sell defined projects and hand off. PrecisionLogic stays accountable after launch, and the person who architects the work is the person who reviews it before it ships. There is no handoff between the recommendation and the build.
How does an engagement start?
With a two-week Discovery Sprint that maps your operating model, stack, team, and automation opportunities. You leave with a 24-month roadmap that is yours regardless of whether the relationship continues.
What does an engagement cost?
Two models. Ongoing Fractional CTO engagements run $12,000 to $15,000 per month with a six-month initial commitment, then month over month with 30 days notice. Standalone agentic AI builds are fixed-fee packages between $3,500 and $20,000, paid 50% at kickoff and 50% on acceptance.
Does PrecisionLogic take referral fees from software vendors?
No. No referral fees, no reseller commissions, no platform sponsorships. Recommendations are based on fit with your stack, team, and risk profile. Structural neutrality is the only kind that means anything.
Who owns the work PrecisionLogic builds?
The client. Code, prompts, configuration, and documentation live in the client repositories and accounts, and transfer completely if the engagement ends.
Does PrecisionLogic work on site?
Primarily remote from Los Angeles, with on-site visits for kickoff, quarterly planning, and work that genuinely benefits from being in the room. Clients are across the US and internationally.
Does PrecisionLogic do one-off projects?
Yes. Standalone builds are a deliberate second door for buyers who want the tool rather than the seat. They are scoped to a fixed fee before you commit, and we will say directly if we think a project would leave you worse off than doing nothing.
How many clients does PrecisionLogic take at once?
A deliberately small number, because the model depends on a senior operator being reachable every week. If capacity is full we say so and give a realistic date.
How do you measure success?
Three lenses reviewed quarterly: operating metrics that reach the P&L, leverage created in hours and decisions, and durable assets that keep working after the engagement ends. The third one is the test. If the value leaves when we leave, it failed.
How do I get in touch?
Email matt@precisionlogic.ai or book a 30-minute discovery call. Response within one business day.
How do you handle compliance and data privacy with AI?
Every build includes a written policy on which data goes to which models, documented criteria wherever AI influences a decision about a person, and logging that makes those decisions auditable. For regulated industries, we scope data residency and retention requirements before the architecture is set.
What happens when we outgrow a fractional CTO?
That is a success case. Part of the engagement is recognizing when the company needs a full-time hire, writing the job specification, and helping run the search. Most transitions happen between 12 and 24 months, and the outgoing fractional CTO can stay on in a reduced advisory capacity during the handoff.
Let's talk
If the answer you need is not here, ask directly. A 30-minute discovery call covers your situation specifically, and you leave with a point of view whether or not we work together.
Last updated: August 2026