344
Productivity & Workflow355
Automation & Workflow225
Software Development251
Marketing & Growth192
AI Infrastructure & MLOps175
Writing & Content Creation203
Data & Analytics142
Photography & Imaging156
Design & Creative170
Customer Support132
Sales & Outreach125
Voice & Speech135
Education & Learning131
Operations & Admin87
Gravitee says the biggest risk with AI agents at work is how many systems they connect to, and that companies need clearer tracking and controls.
In short: Gravitee says businesses are running into problems because AI agents are starting to interact in messy, hard-to-track chains, and oversight is not keeping up.
Companies are not just using one AI agent at a time. They are deploying many agents that can call APIs, which are like digital doorways that let software talk to other software.
Gravitee CEO Rory Blundell says the real risk is not a single agent acting on its own. The risk is what happens when dozens or hundreds of agents start handing work to each other. A task that used to touch one system can now pass through several agents before a person sees it, and each handoff is another decision point.
Blundell argues that this complexity grows faster than most teams expect. Adding more agents can create many more possible connections between them, like adding more roads between cities, not just more cities.
He says common failures include “permissions creep,” where an agent is given broad access early on because it is faster, and then that access is never tightened later. Another issue is unclear ownership, where no specific person is responsible for what happens in the middle of a long agent chain.
Gravitee says companies will likely need stronger “governance,” meaning clear rules, tracking, and enforcement. That includes giving each agent its own identity and limited access, plus tools that show, in real time, what an agent triggered downstream and can block actions that break policy before they happen.
Source: Venturebeat