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Cisco report says small businesses struggle to monitor AI agents and control costs

Cisco's Splunk State of Observability 2026 report shows small businesses increasingly use AI agents but face monitoring challenges. Nearly 90% of organizations say AI monitoring is a priority, yet more than half cannot measure key performance metrics. 83% worry about unintended AI consequences, and 54% lack clear business‑outcome metrics.

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Key points

  • Nearly 90% of firms say AI monitoring is a priority, yet 55% cannot control AI expenditures, according to Cisco’s Splunk State of Observability 2026 report
  • 83% of respondents worry about unintended AI consequences, and 54% lack clear metrics tied to business outcomes, the report finds
  • More than three‑quarters of businesses say collaboration with security teams improves AI troubleshooting, according to Cisco’s findings

The report says 55% cannot rein in AI spending, with billing spikes causing strain. Cisco’s President and CPO Jeetu Patel warned that companies will soon have more agents than people, requiring new security and observability approaches. Splunk SVP Kamal Hathi called observability the bridge to predictable AI costs. Over three‑quarters of firms report stronger collaboration with security teams when monitoring AI, which helps troubleshoot and build trust. The study suggests small businesses should adopt agent observability frameworks, train staff, and align telemetry with strategy to avoid operational failures and improve ROI.

Advanced organizations in the survey attribute AI costs more accurately and see higher returns on observability investments, giving them a competitive edge. The full report is available on Cisco’s Newsroom.

The story so far

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Full story from Small Business Trends · by David WilsonOpen source ↗

AI Costs Soar as Organizations Struggle with Agent Monitoring, Report Finds

Small Business Trends · 20 October 2026

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This text was published by Small Business Trends and written by David Wilson. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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