AI Consulting for CFOs
AIDOLS helps CFOs cut operating cost and recession-proof finance operations by shipping production AI in 90 days under a fixed fee with a written 100% ROI guarantee. Each engagement carries a board-ready audit trail, a defined payback period inside the current fiscal year, and pricing that fits a quarterly capex or opex line — not an open-ended consulting retainer.
What CFOs get from AIDOLS
Specific outcomes scoped against the metrics the CFO office already tracks — not generic value props.
90-day payback, written into the SOW
Every Build engagement is scoped against a specific cost-reduction or revenue-uplift KPI, agreed in writing at kickoff. If the deployed system does not generate ROI exceeding the fixed fee within 90 days of production deployment, AIDOLS refunds 100% of the Build fee. CFOs get a contractual floor on AI spend inside the same fiscal quarter, not a sunk-cost trap.
Fixed-fee pricing your audit committee can read
AIDOLS prices three transparent tiers — Sprint ($15K-$25K), Build ($75K-$150K), Scale ($25K/mo) — with no time-and-materials drift, no partner-leverage uplift, and no surprise change orders. Infrastructure cost passes through at-cost so finance can model total cost of ownership before the SOW is signed.
Full audit trail and model governance documentation
Every deployment ships with model-decision logs, version control on training data, an evaluation harness, and documentation aligned with SR 11-7 (US), OSFI E-23 (Canada), PRA SS1/23 (UK), or ECB TRIM (EU) — whichever framework your auditor cares about. Internal audit, external audit, and regulators get the same artifacts.
AI spend that scales down, not just up
AIDOLS architects model routing, prompt caching, and inference cost controls into every Build deployment. CFOs see per-transaction AI cost on day one, not after the bill arrives — and Scale-tier optimizations typically cut inference cost 40-70% over the first 6 months without quality loss.
The 4 problems we solve for CFOs
AI spend is unbounded. Your CTO cannot tell you what next quarter costs.
Most AI initiatives at mid-market and enterprise companies run on time-and-materials consulting contracts plus a metered cloud bill (compute + model API spend). The combination produces a finance reporting line that is impossible to forecast: consulting hours expand to fit the schedule, and inference cost scales with adoption rather than budget. A typical CFO discovers the AI line item is materially over-budget two months after the quarter closes, with no controllable lever to pull short of stopping the project.
AIDOLS prices the engineering work as a fixed fee per tier (Sprint, Build, Scale), and architects cost-controls into the model layer before deployment: per-tenant rate limits, model routing for cost-sensitive paths, prompt caching, and a published per-transaction cost figure surfaced to the finance team in real time. The CFO sees a single forecastable monthly figure plus a transparent infrastructure pass-through, not a black-box invoice.
Your auditor and your regulator will ask questions you cannot answer.
In regulated sectors (financial services, healthcare, insurance, public-sector contractors), an undocumented AI deployment is a finding waiting to happen. Internal audit asks for model lineage, training-data provenance, decision logs, and bias testing. External audit asks for control evidence on automated decisions affecting financial reporting. The regulator (OSFI, PRA, NYDFS, FCA, BaFin, ACPR) asks for model risk management documentation aligned to their framework. CFOs who cannot produce the artifacts on a 30-day request inherit a remediation program priced in millions.
AIDOLS architects every deployment with the documentation suite delivered alongside the production system: model card, training data manifest, evaluation report, decision-log specification, drift monitoring plan, and a written model-risk-management write-up aligned to the framework your auditor cares about. The CFO can ship the artifact set to internal audit without paying for a separate compliance engagement.
AI projects keep slipping past payback. Your board is losing patience.
McKinsey research on enterprise AI adoption shows roughly 70% of enterprise AI initiatives fail to clear their original ROI target, and the median time-to-value on traditional consulting-led engagements runs 12-24 months. By the time a CFO has visibility into payback, two budget cycles have passed and the original sponsor has moved on. The result is a portfolio of AI investments with no clear attribution and a board that increasingly treats AI spend as discretionary.
AIDOLS structures every Build engagement around a single production use case with a written KPI, a 90-day delivery window, and a 100% ROI guarantee against the fee. CFOs get a binary outcome inside one quarter: the system clears the fee or the fee is refunded. Portfolio decisions about where to expand AI become evidence-based rather than sponsor-driven.
You cannot defend the AI line item if revenue contracts mid-year.
In a recessionary or guidance-cut scenario, multi-quarter consulting retainers are the first line items cut — but cancelling mid-engagement typically destroys most of the value because the deployment never reaches production. CFOs end up paying for sunk strategy work and writing it off entirely. The AI program becomes a credibility tax on the next budget cycle.
AIDOLS structures engagements as discrete, ship-or-refund units. A Sprint clears or it does not. A Build ships into production in 90 days or the fee refunds. Scale renews monthly with 60-day cancellation notice. CFOs can defend the AI line item by quarter — and pause without writing off committed spend if revenue contracts.
Get your AI Readiness Score in 5 minutes
See exactly where production AI fits inside your operations — with a concrete 90-day roadmap scoped to a CFO mandate.
Start the Assessment →How a CFO engagement typically works
Four steps from kickoff to production cutover. Fixed fee at every step.
CFO + finance-team kickoff
Joint workshop with the CFO, controller, and the operating sponsor. We agree the KPI tied to the 100% ROI guarantee, baseline current cost or revenue against that KPI, and lock the SOW with a fixed fee and a 90-day delivery date.
Architecture + cost-control design
Engineering team designs the production architecture with model routing, prompt caching, per-transaction cost controls, and the audit-trail specification baked in. CFO receives an estimated monthly run-rate for the production system before any code ships.
Build + integration
AIDOLS engineers build the data pipeline, model, and integration layer in parallel. Weekly demo + cost report to the CFO and operating sponsor. Any scope drift triggers a transparent change-order conversation, not a silent overrun.
Production cutover + KPI verification
System ships into production. AIDOLS measures the agreed KPI against baseline for 30 days post-launch, produces the written verification report, and hands the system off to operations or moves into a Scale retainer. If the KPI does not clear, AIDOLS refunds the Build fee.
Pricing model that fits a CFO's budget cycle
Three transparent fixed-fee tiers — no time-and-materials drift, no partner-leverage uplift, no surprise change orders.
Best for: CFOs scoping an AI investment thesis before committing capex. Produces the artifacts the audit committee needs to greenlight a Build.
- •Data + infrastructure audit
- •Prioritized opportunity map with ROI estimates per use case
- •Target-state reference architecture
- •90-day implementation roadmap with named owners
- •Executive readout deck
Best for: CFOs ready to ship one production system this fiscal year against a written ROI target. Carries the 100% ROI guarantee.
- •Production AI system shipped end-to-end
- •Data engineering, model development, MLOps deployment
- •Integration into existing systems
- •Post-launch evaluation harness + monitoring
- •100% ROI guarantee against a written KPI
Best for: CFOs operating 1-3 production AI systems who want a fixed monthly MLOps line item instead of a $250K-$350K fully-loaded hire.
- •Ongoing engineering retainer post-deployment
- •Model retraining, monitoring, drift detection
- •Incident response + evaluation harness updates
- •One new feature release per month
- •Replaces a $250K-$350K fully-loaded MLOps hire
AIDOLS vs Big Four for a CFO
| Dimension | AIDOLS | Big Four |
|---|---|---|
| Pricing model | Fixed fee per tier; written, no T&M drift | Time-and-materials retainer; partner-leverage multiplier; quarterly true-up |
| Engagement size | $15K-$150K per engagement; $25K/mo retainer | $500K-$2M+ retainers running 6-12 months |
| Deliverable | Production AI system + audit artifact suite | Strategy deck + roadmap; implementation handed off separately |
| Time to production | 90 days end-to-end | 6-18 months across phased SOWs |
| ROI accountability | 100% fee refund if written KPI is not cleared within 90 days of production deployment | Hours billed; outcomes disclaimed in MSA |
| Audit + governance documentation | Included in Build fee; aligned to SR 11-7 / OSFI E-23 / PRA SS1/23 | Separate $300K-$1.2M compliance engagement |
| Inference cost controls | Model routing, prompt caching, per-transaction cost limits day one | Cloud bill is the client problem; cost optimization is a follow-on engagement |
| Exit clarity | 60-day cancellation notice on Scale; no multi-quarter prepayment | Annual prepayment + termination fees on broken retainers |
What a CFO should ask before hiring an AI consulting firm
Seven questions to put on every shortlist call. Firms that cannot answer crisply on all seven are not engineering-first.
- What is the fixed fee, and what triggers a change order? Get the answer in writing.
- What is the written ROI guarantee, and what happens to the fee if it is not cleared?
- What audit and model-risk-management artifacts are included, and against which framework (SR 11-7, OSFI E-23, PRA SS1/23, ECB TRIM)?
- What is the estimated monthly inference + infrastructure run-rate post-deployment, and who controls it?
- What does the cancellation clause say if revenue contracts mid-engagement?
- How many production AI systems has the firm shipped in the last 12 months, and can I speak to the CFO of two of those clients?
- Who personally is on the engagement, and do they stay on after the SOW is signed?
Calculate your AI ROI before you sign anything
Plug your numbers in. See projected savings, payback period, and 3-year NPV in minutes.
Run the ROI Calculator →Common objections from CFOs — and our honest answers
"AI is too expensive to commit to in this budget cycle."
A Sprint is $15K-$25K — below most CFOs' single-signature authority. It produces the artifacts to greenlight or kill a Build before any production commitment. If the Sprint says the use case does not pencil, you spent a week of executive attention and saved a quarter of capex.
"My audit committee will block this without governance docs."
AIDOLS ships the model card, training data manifest, decision-log specification, and model-risk-management write-up alongside the production system, aligned to the framework your auditor cares about. Internal audit gets the same artifact set on day 90 that they would otherwise wait 6 months and $500K to obtain.
"We tried this with a Big Four firm and got a slide deck."
That outcome is structural: when strategy and engineering live in different SOWs, the strategy team has no incentive to ship code. AIDOLS fuses both into one team and one fixed fee. The deliverable is a deployed system or a refund.
"We do not have the data quality to support AI."
A Sprint is the right first engagement. It diagnoses the data layer, scopes the cleanup work needed for the chosen use case, and produces a fixed-fee Build SOW only against use cases where the data supports it. You do not commit to a Build on use cases the data cannot carry.
"What if my CIO or CTO objects to bringing in an outside firm?"
AIDOLS works inside your CIO's reference architecture, not around it. Sprint outputs are explicitly designed to be defendable in front of your CIO and CTO — and most engagements are co-sponsored by the CIO/CTO and the CFO precisely because the fixed fee + ROI guarantee removes the budget risk that usually creates the conflict.
Three anonymized CFO engagement patterns
Generic descriptors used to protect client confidentiality. Detailed reference architectures and named references available under NDA.
Series B fintech CFO
A Series B fintech CFO engaged AIDOLS to deploy AI-driven fraud detection alongside the existing rules engine. KPI: cut false-positive rate without raising true-positive miss rate.
Manufacturing CFO at a $50M-revenue plant
CFO at a single-plant industrial manufacturer engaged AIDOLS to deploy predictive maintenance on the highest-revenue CNC line. KPI: cut unplanned downtime cost on that asset against trailing-12-month baseline.
Bay Street insurance CFO
CFO at a mid-market insurer engaged AIDOLS for an AI Readiness Sprint to scope a three-year AI investment thesis the audit committee could greenlight. Scope: opportunity map across underwriting, claims, and finance ops with OSFI E-23-aligned governance plan.
FAQs from CFOs
How does AIDOLS price AI consulting for CFOs?
AIDOLS prices three fixed-fee tiers — Sprint at $15K-$25K USD for a 2-3 week diagnostic, Build at $75K-$150K USD for a 90-day production AI deployment, and Scale at $25K/month USD for ongoing MLOps. Every tier is fixed-fee with no time-and-materials drift, and Build engagements carry a contractual 100% ROI guarantee against a written KPI.
What is the AIDOLS 100% ROI guarantee, and how does it work for CFOs?
The 100% ROI guarantee means that if a Build engagement does not generate measurable return-on-investment exceeding the fixed fee within 90 days of production deployment, AIDOLS refunds 100% of the engagement fee. The KPI is agreed in writing at kickoff — typically a cost-reduction figure, a revenue-uplift figure, or a cycle-time reduction tied to a verifiable business KPI. CFOs get a binary outcome inside one fiscal quarter instead of a sunk-cost trap.
How does AIDOLS handle model risk management and audit documentation?
AIDOLS ships every Build with a model risk management documentation suite aligned to the framework your auditor cares about — SR 11-7 (US), OSFI E-23 (Canada), PRA SS1/23 (UK), or ECB TRIM (EU). The suite includes a model card, training data manifest, evaluation report, decision-log specification, drift monitoring plan, and a written governance write-up. Internal audit and external audit get the same artifacts as the regulator.
Can AIDOLS work with my existing CIO and CTO?
Yes. AIDOLS deploys inside your existing reference architecture, integrates with your existing data platform, and respects your existing security review and procurement gates. Most CFO-led engagements are co-sponsored by the CIO or CTO precisely because the fixed-fee + ROI guarantee removes the budget risk that usually creates internal conflict.
What is the typical payback period on an AIDOLS Build engagement?
Most AIDOLS Build engagements clear payback well inside the 90-day guarantee window — typically between weeks 6 and 11 post-deployment. The exact figure depends on the use case and the baseline, but every Build SOW includes a written ROI projection and is scoped against a KPI the CFO can verify against trailing-12-month baseline.
How does AIDOLS pricing compare to Big Four AI consulting?
Big Four firms (Deloitte, PwC, EY, KPMG) typically charge $1,500-$3,000 per consultant per day with engagements running $500K to $2M over 6-12 months, and the deliverable is a strategy document plus a roadmap rather than a deployed AI system. AIDOLS prices the same scope of work as a fixed-fee 90-day Build engagement at $75K-$150K with a deployed production system as the deliverable.
What happens to AI cloud and inference cost after deployment?
AIDOLS architects model routing, prompt caching, and per-transaction cost controls into every Build deployment. CFOs see a published per-transaction cost figure on day one and an estimated monthly run-rate before code ships. Cloud and model-API spend is billed at-cost directly to the client account with no markup.
Can I cancel an AIDOLS engagement if revenue contracts mid-year?
Yes. Sprint engagements are 100% billed at kickoff and run 2-3 weeks. Build engagements bill 50% at kickoff and 50% on production deployment, with the second tranche subject to the ROI guarantee. Scale retainers bill monthly with 60-day cancellation notice. AIDOLS does not require multi-quarter prepayment on any tier.
AI consulting for other roles
AIDOLS works across the full executive stack. If your engagement spans multiple functions, we scope it jointly.
Three ways to start, scoped to a CFO mandate
Pick the path that matches the next decision your office has to make.