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The Data Behind High-Performing B2B AI Deployments

We surveyed 100 B2B manufacturers and distributors to understand the gap between companies seeing ROI and those still stuck in pilot mode. What we found challenges the hype.
Most B2B AI Projects Underdeliver. Heres the Data

The Reality of Enterprise AI Deployment

6x more

likely to see ROI with AI governance in place

35%

can’t prove AI is paying off

41%

hit internal resistance when rolling out AI

Inside the 2026 AI Benchmark

  1. Embedded intelligence wins

    Successful companies cite AI capabilities embedded in their existing commerce platforms and CRMs. Embedded AI inherits the business rules, customer data, and workflows, so it works with existing processes instead of requiring new infrastructure or integrations.

    Embedded intelligence wins
  2. The back office pays off first

    Order processing, data entry, invoice management – these tasks are high-volume, repetitive, and easy to measure. AI delivers immediate time savings, and the ROI is straightforward.

    The back office pays off first
  3. Neutrality kills software adoption

    Only 8% say employees are “very positive” about AI. 40% report neutrality. That passive resistance shows up in the barriers data too: 41% cite employee pushback as blocking deeper adoption. Neutrality today becomes a roadblock tomorrow.

    Neutrality kills software adoption
  4. Guardrails secure the investment

    Only 4% have formal governance. But 24% of companies reporting strong ROI have comprehensive policies — 6x the overall rate. Guardrails aren’t bureaucracy when they’re what let you move fast.

    Guardrails secure the investment
  5. Bad data blocks execution

    Over half of the surveyed leaders blame legacy system integration for blocking their AI ambitions. The full report identifies the specific data gaps breaking these algorithms alongside exact adoption metrics for twelve different capabilities.

    Bad data blocks execution

Go Deeper on B2B Commerce Al

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