Where AI agents are showing real IT savings
B · Useful, limited CIO.com feature by Grant Gross collecting named CIOs' and vendors' self-reported savings from IT agents; useful practice and a worked hidden-cost example, but no method behind any figure.
Summary based on the full text·Original: about 6 minutes to read
In short
A CIO.com feature (1 October 2026) on where AI agents cut IT costs. Three areas recur: tier 1 and 2 IT support, coding agents that let firms build tools instead of buying them, and cloud cost control. Named CIOs at LaunchDarkly and West Monroe and the CTO of KamiwazaAI report savings. A sceptical CTO from Glokal AI argues that savings are often inflated because pilots run on easy tickets and the cost of checking agent work rarely enters the business case.
Key numbers
- 40%reduction in yearly managed service provider costs reported by West Monroe after an IT and HR support agent
- 2,700 hoursestimated yearly operational time saved by the West Monroe support agent
- about $1 millionspending LaunchDarkly says it avoided on two optimisation projects by building tools with coding agents
- €60,000 to €36,000worked example of paper savings shrinking once reopened tickets and agent checking are counted, about 60% of the pilot promise
As reported by the source.
English·Web page·opens cio.com
What it reports
- LaunchDarkly (CIO Rhonda Baldwin): about $1 million avoided on two optimisation projects, $120,000 avoided by building its own asset-management tool with coding agents, about $50,000 a year saved on tier 1 support.
- West Monroe (CIO Kevin Rooney): an IT and HR support agent in Teams or Slack handles password resets, access requests and tickets; 40% lower yearly managed service provider costs and an estimated 2,700 hours a year saved.
- KamiwazaAI (CTO Matthew Wallace): cloud-monitoring agents that track new systems and budget approvals cut cloud spend by 70% immediately.
- Glokal AI (CTO Jeet Pattanaik) worked example: 10,000 tier 1 tickets a month at about €15 each; the agent closes 40%, €60,000 a month on paper. If 15% reopen (€9,000) and checking costs about €15,000, the real reduction is about €36,000.
- His rule: agents fit work that is high volume, well documented and cheap to undo; anything that changes permissions or touches production is not ready.
- He warns that automating tier 1 removes the place where juniors learn the job.
How they got it
Interviews with named practitioners and vendors. Figures are as reported by the interviewees; none is independently checked, and one cited study is a vendor-Forrester ROI study.
Limits
- All savings are self-reported, with no baseline or method.
- Several sources sell AI agent products.
- The hidden-cost example is illustrative, not measured.
Why it matters for companies
The worked example is the part to reuse: before approving a support-agent business case, add reopen rates and the human time spent checking agent actions, and expect real savings near 60% of the pilot figure. The selection rule (high volume, documented, cheap to undo) is a practical filter for HR service desks as much as IT. The junior-pipeline point deserves a plan: if tier 1 work disappears, decide where new staff will learn.
Summary based on the full text. Read the original for the full argument and data.Read the original on cio.com