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SwaYantra
Agent OS for governed work, not another prompt box

AI agents that do governed work your business can trust.

Build, deploy, orchestrate, and audit specialist agents across web, Slack, and developer tools. Every workflow gets policy checks, key control, executive visibility, and evidence that survives security review.

First value
Managed trial keys
Governance
6 policy checks
Evidence
Tamper-evident audit
SwaYantra Agent OS
138 specialists orchestrated across web, Slack, and developer tools
Agent builder

Engineering release review

PR context

GitHub, Slack, tools

Policy gate

workspace rules pass

Reviewer agent

risk, tests, rollout

Audit packet

proof, cost, output

Run cost
$0.018
P95 latency
410ms
Audit hash
9f4d...e821

PR Review

Review risk, tests, migration safety, and rollout notes before merge.

Release Readiness

Generate owners, rollback paths, monitoring checks, and customer-impact notes.

Incident Brief

Turn messy notes into impact, timeline, mitigation, follow-ups, and postmortem draft.

Connects to the models, channels, payments, and observability your team already runs

AnthropicOpenAIGoogleSlackDiscordTelegramStripeSentry

Solution paths

Four ways teams turn governed AI into operational leverage.

Choose the buyer outcome that matters first: faster delivery, security approval, company-wide AI governance, or enterprise rollout readiness.

View all solutions

Product surfaces

A real operating system, not a collection of chat windows.

A premium AI product needs more than a chat screen. SwaYantra gives leaders, admins, reviewers, and teammates the inspection surfaces they need to trust AI work.

AI operations center
acme-eu / enterprise plan
Live
Runs this week
1,284
99.1% success
Audit chain
Verified
4,244 events
Cold P95
410ms
prewarmed pool

Audited workflow detail

Identity, channel, model, cost, and verification evidence resolve before output ships.

PR Review
engineering/reviewerreview PR #412
channelSlack + web replay
key sourcemanaged trial budget
audit proofverified evidence

Readiness queue

Incident needs customer update
2 customers affected
Trust evidence stale
CC8.1 due today
Trial has no first run
follow-up suggested

Launch readiness

Governance, identity, status, trust, billing, runtime, and hardening gates.

94%
SSO
SCIM
Status
SOC 2
Operating loop

From a teammate request to a verifiable business record.

Reviewerreviewer
Designerdesigner
Shippershipper
Retroretro
Step 01

Pick a specialist.

138 named personas with curated skill chains. Reviewer reads PRs. Designer critiques UI. Shipper checks for drift before deploy.

slack@SwaYantra ask Reviewer check PR #412
cursortool: reviewer.review current file
webweb › Run › pick specialist › go
Step 02

Run from anywhere.

Web admin, Slack, Telegram, Discord, or a developer-tool connector in Claude Desktop, Cursor, and Windsurf. Same identity, same policy, everywhere.

workflow.startedseq 4242
audit.exportseq 4243
plan.updateseq 4244
Record verified · 4,244 events
Step 03

Audit lands automatically.

Every workflow and admin action writes a tamper-evident record. One-click verify. Downloadable for security and compliance review.

Governance by default

Premium AI software should answer hard operating questions on day one.

The four things security, finance, operations, and engineering ask before an AI tool becomes real infrastructure.

138 specialists

A workforce, not a chat box.

A Reviewer who reads your pull requests. A Designer who critiques your UI. A Shipper who checks for drift before deploy. Each specialist is a named persona with a curated skill chain — not a prompt your team keeps copying around.

Audited workflows

Every action is reviewable.

Tamper-evident log of who asked what, when, with which model. One-click verification and exports help security, compliance, and leadership review AI work with confidence.

Provider-key control

Your keys, your spend.

Use managed keys for a fast pilot or bring your own Anthropic, OpenAI, or Google keys when security wants direct provider ownership. Keep spend and access under control.

Controls from day one

Access, policy, and rate limits.

Role-based access, workspace policy, rate limits, and reasoned administrative changes give teams a clear control story before AI becomes production infrastructure.

Business case

Model the return before rollout.

Start with conservative PR review acceleration, then decide how much governance, audit readiness, and incident response upside belongs in your buyer case.

ROI calculator

Build the business case in real time.

Tune the PR review model and see gross value, platform cost, and net monthly impact update instantly.

Review and delivery team

1500

Fully loaded hourly rate

$
$20$500

Reviews shipped weekly

1500

Time saved per review

min
1 min120 min

Monthly hours returned

45.5h

Team seats modeled

12

Engineer weeks saved

1.1

Estimated monthly value

$4,319

Net impact

$3,839

after SwaYantra Team cost

Value multiple

9.0x

gross value over platform cost

Gross monthly value$4,319
Platform cost$480 / month
Net monthly impact$3,839

Governance, audit exports, incident review, and onboarding lift are not counted in this model.

Why we exist

More AI seats do not fix operating sprawl.

Early AI adoption created a familiar mess: every function builds its own prompts, model keys move through side channels, nobody knows which output informed which decision, and security gets involved after the workflow has already spread.

SwaYantra is the governance and workforce layer on top of the tools your team already uses. It is deliberately practical: clear product surfaces, clear price, clear controls, and evidence instead of theater.