Business operations
Recruiting pipeline
Screen, schedule and keep candidates warm.
- Store
- AI
- NoSQL
- Workflows
The scenario
An agent screens applications against a role, books interviews, and tracks every candidate.
How it works
- 1Applications are stored and scored.
- 2Candidate records track stage and notes.
- 3Scheduled workflows follow up.
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
01Applications are stored and scored.
queued- Ahura Storestore.putqueued
status: queued · 0 / 48 objects stored
- Ahura AIai.classifyqueued
status: queued · 0 / 150 model calls
02Candidate records track stage and notes.
queued- Ahura NoSQLnosql.getqueued
status: queued · 0 / 600 records written
03Scheduled workflows follow up.
queued- Ahura Workflowsworkflow.historyqueued
status: queued · 0 / 36 steps completed
Services in this partition
Store
0 calls · 0.00 ACU
AI
0 calls · 0.00 ACU
NoSQL
0 calls · 0.00 ACU
Workflows
0 calls · 0.00 ACU
Spend by service
Event log
- Waiting to start.
Why Ahura OS
Why this is better on Ahura OS
Hiring data is personal, time-sensitive and often kept far longer than it should be. Ahura OS screens and scores applications, keeps a record per candidate and schedules follow-ups by workflow, all inside a partition with an explicit retention period. That makes deletion obligations something you can demonstrate rather than hope for. There are no per-seat licences, so a quiet quarter costs almost nothing and a busy one scales without a procurement cycle.
What each capability replaces
- Ahura StoreInstead of managing buckets, permissions and lifecycle rules, objects follow the partition: they freeze, thaw and expire with it.
- Ahura AIInstead of a model gateway and several vendor contracts, one priced call reaches several models and chooses a cheap one when it can.
- Ahura NoSQLInstead of designing tables and maintaining indexes, you write documents and query them. Indexes are looked after for you.
- Ahura WorkflowsInstead of writing retry, timeout and approval plumbing, you declare the steps and the platform guarantees the behaviour and the history.
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
An applicant tracking system with per-seat pricing, plus candidate data in inboxes and spreadsheets.
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

