Spend tracking
Month-to-date cost per agent and workspace, computed from real run usage. No surprises at the end of the month.
- Month-to-date cost per agent and workspace
- Computed from real, per-run token usage
- Forecast spend before the invoice lands
Live activity feed
A real-time stream of runs, task changes, and approvals, so you always know what your agents are doing.
- Real-time stream of runs and approvals
- See what every agent is doing right now
- Catch issues the moment they happen
Outcome metrics
Track tasks completed, runs executed, and progress against goals across your entire agent team.
- Tasks completed and runs executed
- Progress against each goal
- Cost per outcome, not per seat
Plugs into the tools your team already uses
How cost & insights works
- 1
Every run is metered
Each run records its tokens, duration, and cost as it happens.
- 2
Rolled up live
Month-to-date spend per agent and across the workspace, always current.
- 3
Tied to outcomes
Cost connects to the tasks completed and goals advanced, not just raw usage.
- 4
One pane of glass
Agents, runs, approvals, and spend on a single dashboard, updated live.
See it in context
The surprise invoice
Before
The monthly AI bill arrives and nobody can explain which agent or project drove it.
With Padiso
You open the dashboard mid-month, see spend per agent in real time, and catch outliers before they add up.
Proving the ROI
Before
Leadership asks whether the agents are worth it and you have only a vague answer.
With Padiso
You show cost per completed task next to the headcount cost of the same work. The case makes itself.
What teams use it for
Budget planning
Forecast agent spend from real per-agent run data instead of guessing.
Cost attribution
Know which agent, project, and outcome each dollar paid for.
Live operations view
Watch runs, approvals, and spend stream in as your workforce works.
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.
30%
operational cost savings reported by insurers automating claims, policy and support with AI agents.
real-time
DHL’s logistics agents monitor global shipments and autonomously reroute around delays and shortages.
trends → SKUs
Walmart’s multi-agent engine turns social and search trends into product concepts, compressing timelines.
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.
JPMorgan
Banking · finance ops
JPMorgan now runs 450+ AI-agent use cases in production. Its agents draft investment-banking decks in 30 seconds and have cut portfolio-manager research time by up to 83%.
450+
agent use cases live
30 sec
to draft a deck
83%
less research time
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.
$0.06
average cost per completed task
Tie every dollar to an outcome, and prove the ROI of your agent workforce.
Run your business on agents.
Start free, or talk to us about putting an agent workforce to work across your operations.