Govern
Cross-provider access control, project-scoped keys, quotas and policy guardrails — control over who uses what AI, and how much.
AI governance · FinOps · ROI attribution
Turn tokens into outcomes.
Yaazh AI ties every token of LLM spend to the Jira tickets, sprints and Slack threads it actually moved — so you can govern usage, control cost, and prove return.
TOPS-1042 · Migrate billing webhooks
Cost per resolved ticket ₹438 ↓ 31% vs team median
Now onboarding 5 design partners for private beta · Built for teams on Jira + Slack with serious AI spend.
The gap
You know what AI costs. Do you know what it returns?
Gateways meter spend. Dashboards chart usage. But when the CFO asks what last month's ₹18,40,000 LLM bill actually produced, the room goes quiet. Yaazh answers with a number.
LLM spend / month
₹18,40,000 · that's all you know
Cost per outcome
- Billing webhooks · TOPS-1042₹438
- Checkout flow · TOPS-1088₹512
- Support triage · Slack #ops₹291
- Sprint 24 · per story point₹1,204
the same bill, resolved into answers
The differentiator
Cost-per-outcome, not cost-per-token.
Yaazh joins your AI gateway data to your work trackers, and attributes every token to the ticket, sprint or thread it served. No competitor ships this today.
TOPS-1042 · Migrate billing webhooks
Cost per resolved ticket ₹438 ↓ 31% vs team median
What Yaazh does
Four pillars. One platform.
Control spend
Real-time, cross-provider token and cost tracking with alerts and budgets. No more surprise AI bills.
Prove ROI
Attribution of token spend to Jira tickets, sprints and Slack-resolved work — hard proof of what AI investment returns.
Deploy anywhere
Documented on-prem and VPC reference architecture for data-residency compliance. DPDP-ready, enterprise-grade trust.
How it works
Route. Map. Prove.
- 01
Route
Point your AI traffic through the Yaazh gateway. One line of config, every provider.
# one line of config, every providerbase_url: https://gateway.yaazh.ai/v1 - 02
Map
Connect Jira and Slack. Yaazh links each call to the work it served.
- 03
Prove
Cost-per-outcome dashboards update in real time. Export finance-grade reports.
Data residency
Your prompts never have to leave your building.
Deploy Yaazh fully on-prem or in your VPC in Indian regions. Built for the DPDP era — compliance deadline May 2027 — with audit logs, RBAC and zero training on your data.
On-prem / VPC / cloud DPDP-ready architecture Your data is never trained on
For your role
Built for the people who answer for AI.
CTO / VP Engineering
Governance and guardrails without slowing teams down.
CFO / FinOps
Finance-grade AI reporting. Budgets, alerts, and cost-per-outcome your board will accept.
Head of AI / Platform
Benchmark teams, find waste, defend the AI budget with evidence.
Cost-per-outcome calculator
What does one AI-assisted ticket cost you today?
Your blended cost per AI-assisted ticket ₹— Yaazh computes this per ticket, per team, per model — automatically.
Apply as a design partner → Questions
Frequently asked questions.
What is Yaazh AI?
Yaazh AI is the intelligence layer that governs AI usage, controls AI spend, and proves AI return. It routes your LLM traffic through one gateway, connects to Jira and Slack, and attributes every token of spend to the work it produced — cost-per-outcome, not cost-per-token.
How is it different from a gateway or observability tool?
Gateways meter spend and observability tools chart usage — both stop at cost. Yaazh joins that cost data to your work trackers and computes what each rupee of AI spend actually returned: cost per resolved ticket, per sprint, per team. No competitor markets this today.
Which providers and models are supported?
Yaazh sits in front of every major provider — OpenAI, Anthropic, Azure OpenAI and open-weight models served in your own infrastructure. One line of config routes any of them through the gateway.
Can it run fully on-prem?
Yes. Yaazh ships a documented on-prem and VPC reference deployment for Indian regions, built for DPDP data-residency requirements. Your prompts never have to leave your building.
Is our data used for training?
No. Your prompts, completions and telemetry are never used to train models — ours or anyone else's. This is a contractual commitment, not a settings toggle.
What do design partners get?
Design partners get the product free through beta, direct access to the founders, and their workflows built into the roadmap. We're building the attribution model with five teams — applications are reviewed personally, and if there's a fit we reach out within 5 working days.
Be first to prove your AI's return.
One update a month until launch. No spam.
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