Gartner Named Avon AI in the Market Guide for Guardian Agents
Chen Markman, CEO
Two weeks ago, Gartner published their brand new Market Guide for Guardian Agents and named Avon AI in it. Not just as another vendor.
We are listed under Business Alignment & Outcome Optimizers — the category Gartner defines as startups focusing on business goals and aligning agent outcomes with the agent creator's and the organization's intent.
This is exactly what we have been saying since day one.
The engineering problem vs. the management problem
Most companies building AI agents are solving the engineering problem. Very few are solving the management problem.
Think about it this way: you would not hire a new employee and just leave them unsupervised from day one. You would onboard them, set expectations, monitor performance, course-correct, and build trust over time.
AI agents are no different. They are a new kind of workforce, and they need to be managed like one.
Business alignment is not a nice-to-have feature. It is THE reason agents fail in production. When an agent drifts, says the wrong thing to a customer, or acts outside its boundaries, that is not a technical bug. That is a management failure.
Why so few agents make it to production
The data is stark. Enterprises everywhere want to deploy AI agents. Almost none of them actually do it at scale. Only 11% of organizations have AI agents actively in production, and the picture is even worse in regulated companies and high-stakes workflows.
The reason is not the technology. The reason is trust. Enterprises are afraid of what the agent might do. They are afraid of regulatory exposure, brand risk, and loss of control over critical processes.
Gartner confirms this: independent, enterprise-owned oversight layers are essential, because no single AI platform can fully govern agents built outside its own environment. By 2028, organizations will allocate 5-7% of their total agentic AI spend to guardian agents, up from less than 1% today.
What this recognition means
Being named by Gartner in this category validates the bet we made when we founded Avon AI: that the greatest unlock for enterprise AI is not a better model or a faster agent. It is trust.
If you can observe what your AI employees are doing and control their behavior, you can deploy them to the sensitive, high-value tasks where they actually move the needle. Oversight plus control equals trust.
Gartner's recognition validates what our customers already know: the hardest part of agentic AI is not building the agent. It is keeping it trustworthy, on-brand, and in control at scale.
We are just getting started.
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