Automation is only as good as the judgment behind it. The temptation with a capable model is to hand it the whole process and walk away — and that is exactly where automation projects fail.
What agents are good at
Agents are excellent at the mechanical middle of a process: reading a form, classifying a request, moving data between systems, drafting a reply that follows a known pattern. That work is repetitive, high-volume, and low-ambiguity.
Where a person belongs
- Anything that spends money
- Anything a client or donor will read as official
- Anything that deletes or overwrites records
- Any case the system flags as unusual
We automate the work. We do not automate the accountability.
Every automation we build logs what it did and why, so an error is traceable and fixable rather than mysterious. That audit trail is what makes teams willing to trust the system with more over time.