Spend Control for Pharma AI Agents
Pharma runs agents for literature review, clinical operations, and regulatory documentation — each with paid data and inference per program.
Where pharma agents spend
Literature and patent data per query.
Clinical-trial operations inference.
Regulatory documentation at scale.
Research pipelines on compute.
The failure modes
A literature loop re-pulling data multiplies charges.
Unknown data vendors bypass procurement.
No per-program budget.
Which rules to start with
Per-program daily ceiling.
Merchant allowlist for data vendors.
Category rule: data vs compute.
The rules that matter most
| Pharma spend | Control |
|---|---|
| Literature data | Per-program ceiling |
| Clinical ops | Category budget |
| Regulatory docs | Daily cap |
| Research compute | Merchant allowlist |
FAQ
Can I budget per program?
Yes — per-agent rules per program.
Does it slow research?
No — ~5 ms per check.
Related
Stop the next $12,400 night.
One API call (or MCP tool) in front of every agent transaction — APPROVED, BLOCKED, or FLAGGED, deterministic, ~5 ms, fully logged.
See plans — from $99/mo Try a live check