Business operations
Sales research assistant
Prepare a briefing before every call.
- Utilities
- Graph
- AI
- Memory
The scenario
Before a meeting, an agent compiles a briefing on the account and the people attending.
How it works
- 1Utilities fetch public information.
- 2Relationships are recorded in a graph.
- 3The brief is generated and stored.
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
01Utilities fetch public information.
queued- Ahura Utilitiesutilities.pdf_table_extractorqueued
status: queued · 0 / 120 documents processed
- Ahura Graphgraph.edge.putqueued
status: queued · 0 / 380 edges recorded
02Relationships are recorded in a graph.
queued- Ahura AIai.classifyqueued
status: queued · 0 / 150 model calls
03The brief is generated and stored.
queued- Ahura Memorymemory.deletequeued
status: queued · 0 / 240 keys written
Services in this partition
Utilities
0 calls · 0.00 ACU
Graph
0 calls · 0.00 ACU
AI
0 calls · 0.00 ACU
Memory
0 calls · 0.00 ACU
Spend by service
Event log
- Waiting to start.
Why Ahura OS
Why this is better on Ahura OS
A briefing is only valuable if it exists before the call, and doing it for every meeting is not something people sustain. Ahura OS fetches public information with small utility calls, records the relationships between people and accounts in a graph, and produces the brief with a model priced per call. It happens for every meeting automatically, and the notes expire when they stop being useful instead of accumulating in personal documents.
What each capability replaces
- Ahura UtilitiesInstead of a function platform to host, common helpers are ready to call and billed per invocation.
- Ahura GraphInstead of standing up and operating a graph database, relationships live beside your other state at the same price and isolation.
- 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 MemoryInstead of provisioning and securing a cache or database, agents get fast key/value state with expiry already scoped to their partition.
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
Reps spending the hour before a call on browser tabs, or paying for a data subscription for every seat.
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