The Problem
Truth drifts the further it travels from engineering.
In every industrial products company, the truest version of the product lives inside engineering: specs, firmware release notes, certification matrices, security architecture documents.
By the time that truth reaches a buyer through a website, a sales deck, a partner PDF, or a sales call, it has been paraphrased, simplified, and in many cases distorted.
The result is a multi-million dollar revenue problem hiding in plain sight: overstated claims that erode trust with technical buyers, and verified strengths that never make it into the conversation at all.
What We Find
Six categories of drift, each one quantified.
Unsupported or overstated claims
Marketing or sales messaging that exceeds what engineering, firmware, or certification can actually support.
Outdated claims
Specifications, features, or roadmap items that have changed but still appear in active collateral.
Missing high-value differentiators
Verified strengths buried in spec sheets or support docs that never reach buyer-facing channels.
High-risk expectation gaps
Where what we promise and what we ship are far enough apart to drive churn, returns, or warranty exposure.
Roadmap leakage
Future-state capabilities being presented as currently available — a top-three cause of technical-buyer mistrust.
Revenue-relevant opportunity gaps
Specific buyer segments or use cases where verified product truth would materially shift the buying conversation.
What You Receive
An executive-ready audit grounded in evidence.
Quantified financial impact
Net annual revenue opportunity range across missed differentiators, lost-fit opportunities, and expectation-driven margin leakage.
Full evidence chain per claim
Every finding traced through a hierarchy-of-truth model — from public claim back to engineering source — with confidence score.
Safer replacement copy
For every overstated claim, a tighter alternative grounded in what your product actually delivers today.
Reportable customer KPIs
Accuracy Score, Claims Corrected, Underused Differentiators Found, Risk Severity by Channel, Drift by Product Line.
Prioritized remediation backlog
Sequenced by financial impact and effort so Marketing, Sales, Product, and Legal know exactly what to fix first.
Foundation for what comes next
Every artifact created in the audit becomes feed-stock for your AI Data Intelligence Layer in Phase 2.
Sample Result
A recent audit of an industrial networking company surfaced…
A 180-day analysis of an industrial cellular router and edge gateway product line found drift well above industry benchmark — and a financial opportunity an order of magnitude larger than the cost of the engagement.
Next Step
Ready to run a Veracity Audit on your business?
4–6 weeks. Executive-ready findings. A quantified revenue opportunity and a prioritized fix backlog you can act on the day we hand it over.
Book an intro call- Quantified financial impact
- Full evidence chain per claim
- Prioritized remediation backlog
- Foundation feed-stock for Phase 2