Comparison· 4 min read· By the RemediateDesk team · Published October 15, 2026 ·All guides
Two different tools solving two different problems
Traditional MSP automation is a library of scripts and runbooks triggered by an alert or a ticket category. Agentic diagnosis is a system that investigates an unfamiliar problem on the machine and chooses its next step from what it finds. They are often presented as rivals. In practice they cover different parts of the same queue.
| Scripted automation | Agentic diagnosis | |
|---|---|---|
| Who writes the fix | A person, in advance | The system, for this machine, now |
| Handles a problem nobody anticipated | No - it needs a new script first | Yes, within its safety limits |
| Same input, same action | Always | Not guaranteed |
| Audit trail | The script and its exit code | The full conversation and every command |
| How it fails | Quietly does the wrong thing, exits cleanly | Confidently proposes a wrong fix |
| Cost of the long tail | Someone writes and maintains each script | Per-use compute |
Where scripts are the right answer
If the same fix works every time, a script is better: it is cheaper, faster and perfectly predictable. Restarting a known service, clearing a known cache and rotating a known log should not need a model.
The weakness is the edges. A script written for the case where the spooler is stopped does nothing, successfully, when the spooler is running and the queue is poisoned. Exit code 0 means the script ran, not that the user can print.
Where agentic diagnosis earns its place
Tickets whose title is generic and whose cause is not: “slow”, “cannot connect”, “update failing”. The investigation is the work, and it differs every time. A system that reads each answer before choosing the next question can cover cases nobody wrote a script for.
Its weakness is the mirror image. It can reach a plausible and wrong conclusion, it can be inconsistent, and a free-running one has no natural brake. Everything that matters about using one safely is about supplying the brake.
The controls that make agentic safe enough to use
- Classify every command before it runs, in code and not by asking the model, into read-only, changes-something and never-allowed.
- Put a person on anything that changes state, and let your own never-allowed list override everyone.
- Require verification. A fix is not finished until a separate check shows the original complaint is gone.
- Cap the attempts. After several failures it must stop, not try something more creative.
- Allow “I cannot tell”. An outcome for insufficient evidence, counted separately from success, is what keeps the headline numbers honest.
- Keep a way back. Snapshots before common changes, so a wrong one is a click to reverse.
Use both
The practical arrangement is to let diagnosis handle the unfamiliar, and to turn each solved problem into something deterministic. RemediateDesk does it that way: a technician saves a fix as an Autopilot, reviews the text once, and it earns more freedom through verified runs, while the AI keeps reasoning about whatever no Autopilot covers. A separate tool reads your closed tickets to show which recurring problems are worth an Autopilot at all.
Questions to put to any vendor, including us
- What happens when it is wrong, and who finds out?
- Can it end a session by saying it does not know, and is that counted as a success?
- What proves a fix worked - the exit code, or a separate check?
- Which actions can it take without a click, and who controls that list?
- Where do credentials live, and what can the agent read from the machine?
- How is “resolved” defined, and what is excluded from that number?
The Trust Center answers the same questions in writing for ours.