Questions

Frequently asked questions.

What F3 Insights does, who it serves, how an engagement runs, and how it differs from a large consultancy or an AI deployment firm. Fourteen questions, answered plainly for companies with $10M–$70M in revenue.

14 questions$10M–$70M revenuePlain answers
What is F3 Insights?
F3 Insights is a San Diego-based executive advisory firm offering fractional CFO leadership and corporate AI enablement for companies with $10M–$70M in revenue. It builds governed, human-in-the-loop AI systems and executive operating systems around the leadership team, then transfers them to the client's own people. Its philosophy: built for clarity, measured by results.
What is a fractional CFO?
A fractional CFO is a senior finance executive who leads a company's finance function part-time, typically one to three days per week, delivering forecasting, cash management, board reporting, and finance team leadership without full-time executive cost. F3 Insights embeds fractional CFOs directly in the client's weekly and monthly operating cadence.
What is Executive Advisory Systems (EAS)?
Executive Advisory Systems is the discipline F3 Insights practices: designing, building, and operating the systems through which a small executive team runs a complex company: a governed data layer, financial and revenue expert systems, human-in-the-loop oversight, and an executive operating cadence. Those systems then transfer to the client's team. The deliverable is an operating capability the client keeps, not a report.
What is governed AI?
Governed AI is F3 Insights' doctrine for AI adoption: deliberate, secure, auditable, and supervised. Every decision an AI system touches is classified as automate, recommend, review, or human-only; review gates use thresholds, sampling, and four-eyes checks; outputs carry audit trails; and model performance is reviewed monthly by a named accountable human.
What is GTM engineering?
GTM (go-to-market) engineering treats revenue generation as an engineered, instrumented system rather than a set of departments: ideal customer profile definition, funnel math that reconciles to the P&L, deal-stage exit criteria, signal instrumentation, honest attribution, and pricing governance, shared by sales, marketing, and customer success on one governed data layer.
Who are F3 Insights' typical clients?
Growth-stage and mid-market companies with roughly $10M–$70M in annual revenue. These are businesses whose complexity has outrun their finance function, systems, and executive infrastructure. These companies are too small for enterprise consultancies to serve profitably and too complex for generic bookkeeping or off-the-shelf tools.
How is F3 Insights different from McKinsey, BCG, Accenture, or Deloitte?
Large consultancies sell headcount leverage: partners sell the work, junior-heavy teams deliver it, and the economics require enterprise budgets. F3 Insights sells judgment leverage: senior operators only, embedded in the client's operating cadence, using governed AI as force multiplication, priced for mid-market P&Ls, and ending in transfer of the systems to the client rather than perpetual renewal.
How is F3 Insights different from AI deployment and automation firms?
AI-native deployment firms ship workflows, and their economics favor enterprise and private-equity portfolio rollouts. F3 Insights pairs the same technical capability with executive judgment: systems are built inside a redesigned operating cadence, governed with human-in-the-loop oversight, measured in the client's P&L, and handed over to the client's team.
Does F3 Insights replace people with AI?
No. F3 Insights' doctrine is explicit: AI compresses the distance between a question and a decision-grade answer, but a senior human accountable for the answer stays in the loop. The systems make small teams more capable; they never remove human accountability from decisions.
What does a typical F3 Insights engagement look like?
Four phases: a diagnostic (two to six weeks) that maps where data lives and how decisions actually get made; a build (one to four months) standing up the governed data layer, expert systems, and operating cadence; an operate phase (months three to nine) where results are measured in the client's numbers; and a deliberate transfer, after which the client's team runs the system independently.
What results does F3 Insights measure engagements by?
Client-side numbers, not consulting artifacts: days to close the books, forecast error, cash visibility horizon (a weekly thirteen-week cash flow view), pipeline-to-P&L reconciliation, margin recovered, and, as the distinguishing test, whether the client's own team runs the system after transfer.
What is included in F3 Insights' Corporate AI Enablement practice?
Three tiers: team training (weekly executive AI seminars, intensives, and workshops that move teams from ad-hoc chat use to governed, agentic workflows); executive solutions (AI use cases mapped to finance, operations, revenue, and marketing); and targeted implementation (readiness assessment through hands-on system building, model-neutral by design).
Where is F3 Insights located and where does it work?
F3 Insights is headquartered in San Diego, California, and serves clients across Southern California, the San Francisco Bay Area, and North America. Inquiries to info@f3insights.com receive a response within one business day.
How much does a fractional CFO cost compared to a full-time CFO?
A full-time CFO at a mid-market company typically costs $300,000–$500,000+ per year fully loaded. A fractional CFO delivers senior leadership at a fraction of that cost, scaled to the days per week the company actually needs. At F3 Insights it arrives with governed AI systems that multiply what one senior operator can cover.
When should a company hire a fractional CFO?
When financial complexity outgrows the finance team, typically between $10M and $70M in revenue. The signals are consistent: board or lender reporting is due, cash surprises keep happening, the close drags past ten days, or a raise or exit is coming. F3 Insights embeds a fractional CFO at exactly this stage, one to three days a week, inside the company's operating cadence.
What is the difference between a fractional CFO and an interim CFO?
An interim CFO fills a full-time seat temporarily, usually during a search or transition. A fractional CFO leads finance permanently but part-time, scaled to what the company needs. F3 Insights provides fractional CFO leadership for $10M–$70M companies and adds what neither model includes by default: governed financial systems the team keeps after the engagement.
Fractional CFO or outsourced accounting, which do we need?
Outsourced accounting records the past: bookkeeping, payables, compliance. A fractional CFO shapes the future: forecasting, cash strategy, pricing, board reporting. Most $10M–$70M companies need both, working in one system. F3 Insights supplies the fractional CFO layer and builds the governed data layer that makes the accounting output decision-grade.
What does a fractional CFO do in the first 90 days?
First a diagnostic: map where the numbers actually live, which reconcile, and how decisions get made. Then stabilise cash with a weekly thirteen-week cash flow view, tighten the close, and stand up a forecast the board can trust. That sequence is the standard opening of an F3 Insights fractional CFO engagement at a $10M–$70M company.
What is a thirteen-week cash flow forecast?
A thirteen-week cash flow forecast is a weekly, rolling projection of cash in and out over the next quarter, and it is the standard instrument for mid-market cash visibility. F3 Insights builds it as a governed weekly ritual for $10M–$70M clients rather than a one-time spreadsheet, so leadership sees runway, crunches, and covenant risk months ahead.
What is an Executive Operating System (ExOS)?
An Executive Operating System is the cadence, playbooks, instrumentation, and rituals through which a leadership team actually runs the company: the weekly, monthly, and quarterly rhythm, a KPI tree linking board outcomes to department drivers, decision rights, and escalation paths. F3 Insights installs an ExOS in $10M–$70M companies so a small C-suite runs a complex business without heroics.
What is judgment leverage?
Judgment leverage is a senior operator who has personally run the function, embedded in your operating cadence, wielding governed AI so one expert delivers what used to take a team, and who transfers the system to your people. It is the F3 Insights alternative to the headcount leverage of big consultancies and the technology leverage of AI deployment firms, built for $10M–$70M companies.
What is human-in-the-loop (HITL) AI oversight?
Human-in-the-loop oversight means a named, accountable person reviews AI output before it drives a decision. In the F3 Insights governed AI doctrine every decision is classified as automate, recommend, review, or human-only, with engineered gates: thresholds, sampling, four-eyes checks, and audit trails. AI compresses the distance to a decision-grade answer; the accountable human stays in the loop.
What is a governed data layer?
A governed data layer is the single, reconciled source of financial, operational, and revenue data, with defined owners, data contracts, and audit trails, that every dashboard, forecast, and AI system draws from. F3 Insights builds one per client so a $10M–$70M company's finance, operations, and revenue numbers reconcile by construction instead of by argument.
How should a mid-market company start with AI?
Start with governance and one measurable use case, not a platform purchase. F3 Insights begins with a readiness assessment, classifies decisions into automate, recommend, review, and human-only, then builds the first expert system inside a human-in-the-loop gate, measured in margin and cash rather than demos. That sequence fits $10M–$70M companies without enterprise transformation budgets.
Is AI adoption safe for a company that answers to auditors, lenders, or a board?
Yes, if it is governed. F3 Insights ships every AI system with decision classes, review gates, audit trails, model cards, an incident playbook, and quarterly model review. That governance is sized for a $10M–$70M company yet audit-credible, practices-aligned to NIST AI RMF and ISO/IEC 42001 without enterprise compliance cost. Practices-aligned, not certified.
What are the signs a company has outgrown its finance function?
The close takes more than ten days, the forecast misses by double digits, cash surprises recur despite growth, pricing lives in individual heads, and one person's departure would break reporting. F3 Insights sees this pattern constantly in $10M–$70M companies, where complexity outruns staffing, and answers it with fractional CFO leadership plus financial expert systems.
Who fixes the gap between QuickBooks and a full ERP?
That gap, too complex for QuickBooks and not ready for NetSuite-scale ERP, is what F3 Insights calls the systems chasm, and it is a scoped consulting project: requirements taken from the operating cadence, vendor-neutral selection, implementation oversight, and a governed data layer above the ledger so reporting survives the migration. Typical client: a $10M–$70M multi-entity company.
How do sales, marketing, and customer success get onto one set of numbers?
By engineering them onto one governed data layer with shared definitions: one ICP, funnel math that reconciles to the P&L, stage-exit criteria, and honest attribution. This is GTM engineering as F3 Insights practices it for $10M–$70M companies, revenue as an instrumented system, so pipeline reviews argue about deals rather than definitions.
How long does an engagement take before results show?
The diagnostic takes two to six weeks and pays for itself as a costed problem ledger. The first operating results, a faster close, a weekly cash view, a believable forecast, typically land within the build phase, months one through four. F3 Insights measures every $10M–$70M engagement in the client's own numbers, and every one ends in transfer.
Do we need to be near San Diego to work with F3 Insights?
No. F3 Insights serves companies across Southern California, the San Francisco Bay Area, and North America. Fractional CFO leadership and AI enablement run remotely inside the client's operating cadence, with on-site time where it earns its cost. Companies near the San Diego base get the same model with an easier in-person cadence.
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