Assurance IQ™
Show what your team's AI work delivers and keep improving it! Find out which AI tool to scale, keep, investigate, and retire
The AssuranceIQ™ tool turns the usage, cost, and outcome records from every AI tool you run into one scorecard and a verdict on each workflow, with receipts on every number.
The Problem: No Measurable P&L Impact
95% of enterprise generative AI pilots deliver no measurable P&L impact — even as enterprise GenAI investment nearly tripled to roughly $37B in a single year. (MIT Project NANDA, “State of AI in Business” / “The GenAI Divide”)
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The average organization runs 27 AI-powered SaaS applications. 96% use AI agents. Only 12% of companies have a centralized platform to manage their AI use. Each tool is siloed, reporting on itself in its own units. The question a CFO, a CIO, or a business unit owner needs answered - which of these tools should we keep, scale or retire - goes unanswered without a tool that translates every tool into one standard.
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85% of senior technology executives lack full visibility into real-time AI spend. (IBM Institute for Business Value, 2026)
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81% of CIOs lack complete oversight of agents built outside approved channels. (Dataiku and Harris Poll, 2026)
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77 % of organizations report their AI rollout is already outpacing governance capability. (IBM Institute for Business Value, June 2026)
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Leaders with strong AI cost visibility are five times as likely to have established ROI: 15% versus 3%. (KPMG Global AI Pulse, June 2026)
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​​​The Solution: Assurance IQ™
Five Measures, clearly relayed the same way for every one of your AI tools laddering up to a clear picture of AI Impact:
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Use: Is anyone actually touching this?
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Adoption: Does usage follow the patterns that correlate with real value?
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Quality: Was the reasoning behind it sound?
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Impact: What business outcome is attributable to it?
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Net ROI: Net of what it cost, was it worth it?
Each rung on this measurement ladder is worth more to the business and is harder to measure honestly. Most organizations stop at Use and call it measurement.
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How It Works
Three layers of data. One honest picture.
AssuranceIQ™ pulls in data from inside the organization, outside, and extrapolated through proven accepted methodologies:
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Direct: Computed straight from a vendor's own log. No interpretation required.
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Indirect or Extrapolated: A disclosed proxy or judgment call, sourced and dated, and shown as such in the number.
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Disclosed Gap: Named precisely and filled when a real figure exists.
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Every number arrives with its grade, so a CFO, a compliance lead, and a business unit owner read it the same way.
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Getting Started
Start with one team. The enterprise is ready when it asks.
AI gets deployed in business teams, so measurement starts there. A Quick Start takes one team's tools from exported logs to a scored portfolio in thirty days, on the same KPI Library the whole enterprise will use. When Finance, the CIO's office, or the governance committee asks for the enterprise view, the definitions, the baselines, and the named Impact owners already exist.
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From your logs to a working scorecard.
AssuranceIQ™ works in four steps:
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Source: pull logs, from a business user's export or an enterprise feed.
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Classify: sort each signal into Direct, Indirect, or Disclosed Gap.
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Configure: apply the KPI Library to your environment and taxonomy.
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Go Live: real, computed, and assessed states on your own data.
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AssuranceIQ™ is a tool. Every edition includes configuration to your data and process: connectors for the logs you have, the KPI Library mapped to your taxonomy, Impact Record templates, and a guided path to Go Live. The first scorecard arrives in thirty days.
Let's get started!​​​​