Finance
Verifiable approvals for agent actions
Every high-stakes action carries a signature you can check later.
- Identity
- Workflows
- Streams
- NoSQL
The scenario
An agent prepares an order, a payment instruction or a contract change. Before anything happens, it signs the proposal, a person approves it, and downstream systems verify both signatures.
How it works
- 1The agent signs the proposed action with its own identity.
- 2A workflow pauses for a person or another agent to approve, and the approver signs too.
- 3The system that carries out the action verifies both signatures first.
An illustrative scenario, not a customer story.
Interactive simulation
Simulate this case study
Watch the partition come up, each step run, and usage build as it goes. Simulated: volumes, timings and prices are illustrative.
Partition
—
Status
not created
Elapsed
00:00
- Provisioning
- Processing
- Complete
01The agent signs the proposed action with its own identity.
queued- Ahura Identityidentity.createqueued
status: queued · 0 / 60 signatures
- Ahura Workflowsworkflow.definequeued
status: queued · 0 / 36 steps completed
02A workflow pauses for a person or another agent to approve, and the approver signs too.
queued- Ahura Streamsstreams.readqueued
status: queued · 0 / 300 events routed
03The system that carries out the action verifies both signatures first.
queued- Ahura NoSQLnosql.queryqueued
status: queued · 0 / 600 records written
Services in this partition
Identity
0 calls · 0.00 ACU
Workflows
0 calls · 0.00 ACU
Streams
0 calls · 0.00 ACU
NoSQL
0 calls · 0.00 ACU
Spend by service
Event log
- Waiting to start.
Why Ahura OS
Why this is better on Ahura OS
The risk with an agent that can act is not a bad idea, it is an unaccountable one. On Ahura OS the agent signs what it proposes with its own identity, a workflow holds the action until a person or another agent approves and signs, and the system that carries it out verifies both signatures first. Private keys are encrypted at rest and used only inside the signing service, never handed to the agent, so an approval cannot be forged. Every signature is logged and emits an event, which gives you an attributable record of who approved what and when.
What each capability replaces
- Ahura IdentityInstead of building key management and signing services, each agent gets an identity and a signing and verification service whose private keys are never handed to the agent.
- Ahura WorkflowsInstead of writing retry, timeout and approval plumbing, you declare the steps and the platform guarantees the behaviour and the history.
- Ahura StreamsInstead of a message broker to run, agents, workflows and your own systems react to events through managed routing.
- Ahura NoSQLInstead of designing tables and maintaining indexes, you write documents and query them. Indexes are looked after for you.
And on every use case
One endpoint, not a stack
Memory, storage, compute, inference, identity and messaging share one connection, one identity and one bill. The integration work you would normally own disappears.
Isolation by construction
Every agent’s world is a partition. Separation is how the platform is built, not a convention teams must remember to follow.
Cost follows use
Pay per call and per millisecond. Idle agents freeze to archive pricing. There is no capacity to reserve and nothing running unseen.
Retention and deletion built in
Lifetimes, expiry, freezing and destruction are platform features, so your data policy is enforced rather than aspirational.
Safe autonomy
Spending limits, protected signing keys, approval steps and signed actions let agents work unattended without being unaccountable.
Ready for audit
Designed against SOC 2 and ISO 27001 controls, with every call metered, recorded and attributable.
Compared
The old way of doing things
Approvals by email or chat, with no proof of who approved what, and no way to tell whether an instruction was altered on its way to the system that acts on it.
Data retention is built in
Everything this scenario stores lives in one isolated partition with a lifetime you set. Expired data deletes itself, a paused project freezes to low-cost archive, and a finished one can be destroyed completely. Security and compliance
Industries this applies to
More: all use cases, for researchers, for developers, pricing.

