An AI agent is software that can take actions on its own — sending messages, updating records, or calling other tools and systems — based on what it is asked to do, without someone approving every single step. An AI agent production assurance review checks what one of these agents can actually access and do once it is connected to your real tools, before you rely on it in production.
What we check
- What it can access — The tools, data, and systems the agent is connected to, and whether any connection reaches further than intended.
- What it can actually do — The real actions available through those connections, not just the actions the agent was designed to use.
- Whether approvals really stop it — Whether a required human sign-off genuinely blocks an action, or whether the agent can act before or without it.
- What happens when something goes wrong — How the agent behaves on errors, timeouts, and retries, and whether failures are handled safely.
- Where the controls fail — The specific point where an access rule, approval step, or safeguard does not hold up once it is tested.
- What to fix first — A priority order, so the highest-risk gaps are addressed before smaller ones.
What you receive
Each review ends with a written report. Every check is marked Pass, Fail, or Could not verify, with the evidence behind that result and what we would recommend fixing first. There is no vague score — just a plain record of what was tested, what happened, and what to do next.
Illustrative example — not a real engagement
| Area tested | Expected behaviour | Observed behaviour | Supporting evidence | Result | Recommended action |
|---|---|---|---|---|---|
| Tool-permission scope for a support-ticket assistant | The agent can read tickets and draft replies, but cannot issue a refund without a human approving the action first. | The agent called the refund action directly, before the approval step had completed. | Action log showing the refund call executed before any approval record existed. | Fail | Block the refund action until a completed approval record exists, then re-test. |
Scope and duration
Reviews are scoped narrowly on purpose, so the result is specific and checkable rather than broad and vague.
Included
- One agent or one coherent workflow
- One business process
- A controlled assessment environment
- Up to five connected tools, APIs, or action surfaces
- Safe, non-destructive testing
- Typically 5-7 business days once scope, access, and the environment are confirmed ready
Not included
- Penetration testing
- Certification
- A legal or regulatory opinion
- Broad AI governance consulting
- Remediation implementation
- Continuous monitoring
- A guarantee that no vulnerability or failure exists
How the review works
- Scope call — Agree the agent or workflow in scope, the business process it supports, and what “done” looks like.
- Map access and actions — Identify everything the agent can reach, and every action it can actually take.
- Test under normal and unexpected conditions — Run the agent through expected use and edge cases such as errors, retries, and unusual input.
- Build the evidence pack — Record what happened, how, and the evidence behind each result.
- Walkthrough and remediation guidance — Review the findings together and agree what to fix first.
Confidentiality and evidence handling
Access details, test activity, and findings from the review are handled under agreed confidentiality terms, and shared only with the people you name. As with our general enquiry channels, please do not send passwords, private keys, or other highly sensitive credentials outside the access arrangement agreed for the review.
Why HandleTec
HandleTec is led by Vicknesh Suppramaniam, a Malaysia-based systems and security architect with more than 20 years of experience deciding who is allowed to act inside a system, what they are allowed to touch, what gets recorded, and what happens when something fails or needs to be retried.
That background — spanning secure architecture, identity and access control, infrastructure, and recovery planning, including work connected to Malaysia’s National IPv6 roadmap, public-service network migration, and ITU standards initiatives — is the same background needed to test an AI agent properly. An agent raises the same questions a person or a system integration always has: what is it allowed to reach, what can it actually do with that access, is it logged, and what happens when it fails or has to retry.
Working alongside your existing provider
HandleTec can sit alongside an integrator, MSSP, cybersecurity provider, software vendor, or your own internal engineering or security team, as an independent check on one specific agent or workflow. HandleTec checks the system — it does not use the engagement to take over implementation, support, or any work your existing provider already handles. We check. We do not take over.
Questions
Will this affect our production system?
No. Testing happens in a controlled assessment environment using safe, non-destructive methods — not against your live production system.
Do you need our source code?
Not necessarily. What is usually needed is access to the agent’s configuration, the tools and APIs it is connected to, and a way to observe what it does when it acts. Source code can help but is not always required.
What happens after the review?
You receive the evidence report and a priority list of what to fix first. HandleTec does not automatically implement the fixes — remediation implementation is outside the scope of this review.
Who should be involved from our side?
Usually whoever can describe the agent’s intended behaviour and grant access to the relevant tools or environment — often a technical lead or the person who built or manages the agent.