Product
One gateway in. One number out.
Yaazh routes your AI traffic, maps it to the work in Jira and Slack, and proves what every token returned. Here is the whole model, step by step.
Step 01 · Route
Point your AI traffic through the Yaazh gateway.
One line of config, every provider. OpenAI, Anthropic, Azure OpenAI and self-hosted open-weight models all flow through the same pipe — with project-scoped keys, quotas and policy guardrails applied before a single token is spent.
gateway config
# yaazh.yaml — one line of config, every providerbase_url: https://gateway.yaazh.ai/v1providers: openai · anthropic · azure · self-hostedpolicies: project-keys · quotas · pii-maskingStep 02 · Map
Connect Jira and Slack. Yaazh links each call to the work it served.
Sprints, tickets and resolved threads sync continuously. Every gateway call is attributed to the ticket, sprint or thread it served — automatically where confidence is high, explicitly when teams start an AI session against a ticket.
attribution map
- TOPS-1042840K in / 260K out
- TOPS-10881.1M in / 340K out
- #ops · thread resolved96K in / 31K out
Works with Jira and Slack today. Linear support is on the roadmap.
Step 03 · Prove
Cost-per-outcome dashboards update in real time.
Cost per resolved ticket. Cost per story point. Spend per team, per model, per sprint — reconciled against provider invoices and exportable as finance-grade reports your CFO will accept.
Benchmarking
See where AI earns its keep — and where it doesn't.
Top-five and bottom-five consumers by cost-per-outcome, re-prompt ratios, and model right-sizing signals. Framed as coaching, never surveillance.
Most efficient · cost per resolved ticket
- Platform team₹291
- Payments team₹438
- Growth team₹517
Needs coaching · re-prompt ratio
- Data team2.8× re-prompts
- Mobile team2.1× re-prompts
- QA automation1.9× re-prompts
See your own numbers in week one.
One update a month until launch. No spam.
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