Your AI budget is growing.
Your AI returns are not.
Companies are spending more on AI but cannot prove it produces financial returns. The CFO sees a growing line item. The CTO promises future value. Neither has the data to resolve the disagreement.
Unchecked AI infrastructure spend and unverified code creates technical debt that acts like a high-interest credit card. Our advisory engagements execute an to calculate your and reduce your . By converting into software assets under , we protect gross margins and restore predictable financial returns.
Prove engineering ROI to the board and install hard cost caps before API overruns wreck your roadmap.
CTO Diagnostic Guide →Turn the black-box AI line item into a predictable P&L asset with unit economics clarity.
CFO Board Framework →Forensic technical due diligence to uncover hidden AI liabilities before term sheet execution.
M&A Tech Diligence →15+ Years Experience
Enterprise product leadership
0-to-1 $25M ARR
Tyler Technologies
Found $840K Hidden AI Spend
CTO, Series C FinTech (verified)
$2.9K/mo API Cap Implemented
B2B SaaS Margin Recovery
As Published In & Cited By
Read by 1,400+ C-suite executives, financial analysts, and technology leadership
Every Engagement Produces Board-Ready Deliverables
R&D Capital & AI Unit Economics Audit
Prepared for: Board of Directors & C-Suite
Ungoverned retries & zombie features
Point where maintenance outpaces innovation
Via VPC model repatriation & cost-caps
* All written reports delivered in PDF and interactive dashboard formats. Anonymized sample shown.
The cost of doing nothing
Compound waste
Every quarter without measurement compounds the waste. We estimate 15-30% of AI inference spend produces no business value.
Hidden liabilities
Shadow AI creates liability that surfaces during due diligence or security audits, expanding your .
Features without profit
Engineering teams build features faster but cannot explain whether those features make money without an .
Symptoms you recognize
"Our AI bill tripled but nobody can explain why."
"The CFO keeps asking where AI ROI went."
"Engineers are using AI tools we did not approve."
"We are deploying models faster than we can govern them."
"Board wants AI metrics we cannot produce."
"Technical debt is accelerating, moving us closer to our ."
How we diagnose
Unit economics analysis
We calculate your exact cost per inference and cost per useful output to establish baseline margins.
Shadow AI discovery
We map unsanctioned model and API usage across your engineering team to quantify financial risk exposure.
Capital allocation mapping
We perform an to determine what percentage of your engineering budget produces durable software assets.
Governance gap analysis
We audit existing guards versus where are required for hard budget enforcement.
The Progression
We do not sell a menu of services. We follow a strict diagnostic progression to ensure you only pay for the intervention you need.
Rapid Gut-Check Evaluation
Not sure if your AI bills or engineering velocity are out of control? A rapid 30-minute diagnostic session to analyze AWS bills, API commitments, and unit economics.
60-Min Technical Insolvency Audit
Deep-dive session for teams with high or spiraling API costs. We analyze architecture bottlenecks and map out a 30-day capital recovery roadmap.
R&D Capital & Hallucination Audit
Engineers spend an average of 4.3 hrs/week manually validating AI outputs. Our measures total verification overhead and installs .
Enterprise Advisory & Governance Integration
Specialized engineering taskforce integration to install deterministic runtime governance, enforce hard API cost ceilings, and eliminate shadow AI liabilities.
What every engagement produces
- Written risk report with dollar-denominated findings
- Board-ready executive summary
- 90-day remediation roadmap
- Ongoing measurement framework with
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