Per-agent budgets
Cap monthly spend per agent. When an agent hits its budget, it stops, so costs never run away.
- Hard monthly cap per agent
- The agent stops the moment it hits the limit
- No surprise overruns, ever
Human-in-the-loop
Gate sensitive actions behind approvals. Agents request, you approve or reject, and the action only then applies.
- Gate sensitive or irreversible actions
- Approve or reject from your inbox
- Work resumes automatically on approval
Full audit trail
Every run, tool call, and approval is recorded with who, what, and when, ready for review or compliance.
- Who, what and when for every run
- Every tool call and approval logged
- Export-ready for compliance reviews
Plugs into the tools your team already uses
How governance & budgets works
- 1
Set budgets
Cap monthly spend per agent. When it hits the limit, it stops, full stop.
- 2
Gate risky actions
Mark irreversible or sensitive actions as requiring human approval.
- 3
Approve from your inbox
Agents request, you approve or reject, and the action only then applies.
- 4
Everything is logged
Who, what, and when for every run and decision, ready for review or compliance.
See it in context
The runaway loop
Before
A misbehaving agent loops on an expensive model and you discover it on next month’s bill.
With Padiso
The agent hits its hard budget and halts immediately. Spend can never run away unnoticed.
An irreversible action
Before
An agent is one bad inference away from emailing a customer or deleting a record.
With Padiso
That action is gated. The agent pauses, you approve it from the inbox, and only then does it happen.
What teams use it for
Regulated workflows
Finance, legal, and healthcare work that needs a defensible record of every decision.
High-trust actions
Anything that spends money, touches customers, or changes production data.
Team-wide cost control
Predictable spend across a large agent workforce, with no surprise overruns.
The numbers behind agentic operations
You don't have to take our word for it. Here's what the analysts and operators are reporting right now.
83%
less research time for JPMorgan portfolio managers using AI agents, now running 450+ use cases in production.
$60M
saved by Klarna’s AI assistant, handling the workload of 853 employees by Q3 2025.
30d → 3d
specialty-medication prior-authorization, cut with agentic AI at a US infusion provider.
Most teams reach payback within a quarter or two of going live.
Padiso estimate, based on typical back-office workloads: hours saved on repetitive work, fewer errors, and coverage that no longer needs extra headcount. Your mileage depends on volume and the processes you automate first.
It already works at this scale
Not a demo. A team in the same kind of work, with results they published.
Insurers
Insurance · claims
Insurers automating claims, policy issuance and support with AI agents are reporting up to 30% lower operating costs, and one health payor cut fraudulent payouts by 65%.
30%
lower operating cost
65%
less fraud payout
instant
first response
The strongest results come from scoped use cases with connected data and clear KPIs, and from keeping humans in the loop on the hard cases. That is exactly the model Padiso is built around.
$0
surprise overruns, thanks to hard budgets
Give agents real autonomy, with budgets, approvals, and an audit trail you can stand behind.
Run your business on agents.
Start free, or talk to us about putting an agent workforce to work across your operations.