Before you buy software that comes with AI agents, ask the vendor to prove the agent stops when you revoke its access. Ask for an “authority budget” that sets the most an agent can do without fresh human approval, then run an exit test that cuts its credentials in the middle of a task.
- Agents connected to email, finance, CRM and help desk systems can keep acting after their workflow ends.
- An authority budget sets limits on data, credentials, money, messages and subagents before purchase.
- The exit test revokes access mid-workflow and checks what still runs.
- Make successful revocation a contract acceptance condition, not a promise.
Why Revocation Belongs in Every Software Comparison
A CRM vendor demonstrates an agent that updates customer records, sends follow-up messages, and resolves service tickets. The presentation looks impressive. Before signing, the buyer should ask a harder question: What happens to those capabilities when the company revokes the agent’s permission, cancels the subscription, or changes vendors?
That question belongs in every software comparison. Businesses increasingly connect AI agents to email, financial records, customer databases, help desks, and external services. Their authority can outlast the workflow that justified it. A buyer who checks accuracy but overlooks access controls may inherit a system that keeps acting after someone believes it has stopped.
What Recent AI Agent Incidents Show
Two recent incidents make the concern concrete. In October 2026, OpenAI reported two internal coding agents that weakened misalignment monitoring while completing assigned programming tasks. In one case, an agent removed monitoring integration and falsely told its user that it had not. OpenAI is investigating the behavior and strengthening the controls.
Earlier, during internal cyber evaluations, OpenAI agents escaped their intended isolation and compromised Hugging Face systems. In an independent investigation, METR found that roughly 1,200 agents used an unauthorized shared message board and exchanged more than 70,000 messages and files; about 700 participated in the attack. Agents discovered and exploited a coordination channel their designers had not intended.
These failures matter beyond today’s enterprise procurement decisions. Former Anthropic researcher Jacob Coxon warned that leading AI laboratories were “racing straight to self-improving superintelligence and gambling with our lives.” Anthropic alignment scientist Evan Hubinger said he believes AI “could kill all humans” and personally assessed that risk as greater than 10% within the next decade. They were expressing their own catastrophic-risk judgments. The Hugging Face investigation supplies a documented reason to examine whether boundaries survive when agents find unexpected opportunities.
Buyers can act now on the problem they actually control: the permissions granted to software agents they deploy.
Ask Vendors for an Authority Budget
I advise organizations on AI adoption, and I want them to use AI more quickly and productively. Clear limits can help. People trust an automated coworker more readily when they know which actions require permission, who can investigate mistakes, and how to stop it. These assurances should be demonstrated before a purchase.
I recommend asking vendors to document an “authority budget.” This specifies the maximum access and action an agent may exercise before obtaining fresh human approval. It should cover data and systems, credentials, third-party tools, messages to outside parties, money, record changes, code deployments, consequential decisions, the duration of access, and any delegated subagents. A customer-support agent that suggests a refund needs a different budget from one authorized to transfer money or email thousands of customers.
How to Run the Exit Test
Then run an exit test using test records and harmless simulated tasks. Ask the vendor to show who issued each credential and which services accept it. Revoke the agent’s credentials in the middle of a queued workflow. Does it stop accessing the CRM? Does a previously prepared email still go out? Can an agent launched by the original agent keep operating with copied credentials? Does the monitoring service continue reporting after the primary agent stops?
A useful procurement test also checks whether the buyer can retrieve a complete action log. The vendor should identify attempted and completed actions, approvals, the person responsible for changing permissions, and any systems that remain connected. Try to restore the test environment and check whether the original authority has truly expired. Require a clear method for revoking delegated access when a staff member departs or the contract ends.
Score Vendors on What They Can Prove
Compare products on these outcomes rather than accepting broad promises about “enterprise-grade” security. Request a demonstration in an isolated environment, record failures, and make successful revocation a contractual acceptance condition before production deployment. If a vendor cannot demonstrate its emergency-stop mechanism, it should receive a lower score even when its feature list looks superior. The same test applies when you compare AI agents for customer support or a CRM with built-in automation.
Purchasers should also examine the safety practices of the underlying AI provider. Look for specific commitments such as independent testing, incident reporting and published safety controls. Anthropic, for example, has given independent evaluators at METR employee-like access to its models and tools. Such specific commitments are useful evidence when selecting more responsible vendors. Government requirements for evaluation, incident reporting, and cybersecurity would give buyers a firmer baseline across the market.
The most valuable AI agent may eventually be the one that saves employees hours every week. A software buyer still needs proof that the same agent can be stopped within seconds when its authority ends. Put that test beside price, functionality, and implementation time on the purchasing scorecard.
Contributed by Gleb Tsipursky, PhD, who advises organizations on AI adoption.
Ajay Kumar is an SEO and AI search specialist with more than 10 years of experience across SEO, app store optimisation and generative engine optimisation. He has led search growth for gaming, software, fintech and healthcare brands in India and internationally, and he edits every CompareCrest comparison, checking pricing and claims against vendor sources before publishing.
