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News articleCrunchbase News

Don’t Just Talk About AI. Measure Business Outputs. Here’s How.

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Crunchbase News - Funding Ma Title: Don’t Just Talk About AI. Measure Business Outputs. Here’s How…
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  • Results are best when choosing the output to improve, varying AI tools until one moves the dial, and measuring Time To Production

    60% confidence
  • Approach AI projects as mathematical optimization problems by defining a target measure, identifying influencing variables, and modeling the mechanism by which the target is moved

    60% confidence
  • Theory on why so many pilots fail is that companies pick an AI tool and pilot duration and qualitatively check in with users, rather than measuring outputs

    60% confidence
  • The theory on why so many pilots fail is that companies tend to pick an AI tool and pilot duration and qualitatively check in with users at the end rather than measuring outputs

    60% confidence
  • AI systems trusted with real decisions are what Peter Drucker would call executives

    60% confidence
  • Last year felt like the Year of the AI Pilot with widespread disappointment in the impact of AI pilots

    60% confidence
  • AI is an invention in the process of becoming an innovation; an invention is a new capability that is not an innovation until it has a business model

    60% confidence
  • The form innovation takes will be AI systems trusted with real decisions, what Peter Drucker would call executives and are referred to as agentic AI

    60% confidence
  • Last year felt like the Year of the AI Pilot with widespread disappointment in the impact of AI pilots

    60% confidence
  • The idea is to approach AI projects as mathematical optimization problems: Define a target measure, ask what variables influence that metric, and model the mechanism

    60% confidence
  • Organizations must focus on outputs rather than activities, anecdotes and initiatives which are inputs

    60% confidence
  • Organizations must focus on outputs rather than activities, anecdotes and initiatives which are merely inputs

    60% confidence
  • AI is an invention in the process of becoming an innovation, not becoming an innovation until it has a business model

    60% confidence
  • 95 percent of generative AI pilots at companies are failing according to MIT report

    60% confidence

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What we know · the intelligence behind this page
Live from the substrate
What we're seeing
AI Moves Into Devices, Security and Platforms: Physical AI Data, On-Device Compute and Agent Governance Drive a Late-October Product Wave
In late October 2026, vendors across hardware, enterprise software and security launched products built around AI moving out of the cloud and into devices, workflows and physical systems. Examples include NVIDIA RTX Spark laptops with Adobe, ASUS and Windows support for local and hybrid AI, and Harvest Praxis and Encord on embodied or physical AI. Enterprise software and security vendors (Salesforce–Braze, Fortinet, ServiceNow, Cisco, Intuit) are consolidating AI-driven customer data, adding inline AI security and agent governance, and embedding AI in financial and accounting workflows. The finance link is indirect: it rests on M&A, fintech-adjacent AI tooling and the capital flowing into physical AI. No regulatory driver appears in the facts.
Our read on the data ›
Signals we're tracking
EPKINLY Regulatory-Clinical Success Cascade
High probability of expanded label indications, additional combination approvals, and competitive positioning strength in follicular lymphoma market. Predicts positive commercial uptake and potential accelerated review for related indications.
Patterns we're watching ›
Where sources disagree
Ford Motor Company
Both facts give cash for Ford Motor Company at the same point in time (2025-12-31; FY 2025 year-end and Q4 2025 year-end are the same date). Both are labelled USD, but the values are 23,356,000,000 and 23.356, which cannot both be true in USD. The two numbers agree once the second is read as billions (23.356 bn = 23,356,000,000), so the economic content is consistent and the conflict is a unit/scale error in the Q4 2025 record. The period is not the reason for the conflict: a Q4 and an FY figure at the same year-end date should match.
We flag conflicts openly ›
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