Business operations
Customer support triage
Classify, answer or escalate every ticket.
- AI
- NoSQL
- Search
- Workflows
The scenario
Agents handle first-line support, answer routine questions and escalate the rest with context.
How it works
- 1A cheap model classifies each ticket.
- 2Customer history is read from records.
- 3Hard cases pause for a human to approve a reply.
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
01A cheap model classifies each ticket.
queued- Ahura AIai.inferqueued
status: queued · 0 / 150 model calls
- Ahura NoSQLnosql.getqueued
status: queued · 0 / 600 records written
02Customer history is read from records.
queued- Ahura Searchsearch.queryqueued
status: queued · 0 / 520 documents indexed
03Hard cases pause for a human to approve a reply.
queued- Ahura Workflowsworkflow.historyqueued
status: queued · 0 / 36 steps completed
Services in this partition
AI
0 calls · 0.00 ACU
NoSQL
0 calls · 0.00 ACU
Search
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
Support software charges per seat and per ticket, and still leaves routine questions in a queue. On Ahura OS a cheap model classifies every ticket instantly, customer history comes from records in the same partition, and a workflow pauses risky replies for a person to approve. Response is immediate, people spend time on the hard cases and customer data stays inside one isolated partition with a retention period you control. Pricing follows tickets handled, not seats licensed.
What each capability replaces
- 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 SearchInstead of running a search cluster, a managed, high-performance search engine indexes your content on write and queries it fast.
- 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
Large queues worked by people, with a help desk product charging per seat and per ticket.
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