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SwaYantra
AI Sales & Support Email Operator

Let SwaYantra run business email under your rules.

Connect your inbox, CRM context, product knowledge, pricing rules, and campaign tools. SwaYantra replies, quotes, follows up, escalates risk, and proves every action with approval policy and evidence.

Inbox
Sales + support
Governance
Policy + approvals
Proof
Evidence trail
SwaYantra Email Command Center
Sales, support, quotes, campaigns, approvals, and evidence
Email operation

Sales reply with quote approval

Customer context

Gmail, policy, products

Policy gate

risk class resolved

Approval path

shadow or human gate

Evidence packet

receipt, cost, output

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

Support Reply

Draft customer replies with product context, unsupported-claim checks, and approval before send.

Sales Reply

Qualify inbound demand, handle objections, recommend follow-up, and escalate commitments.

Quote Approval

Let AI explain proposals while deterministic pricing and approvals control commitments.

Campaign Control

Plan sequences, enforce suppression and unsubscribe rules, and launch through approved providers.

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

AnthropicOpenAIGoogleSlackDiscordTelegramStripeSentry

Solution paths

Four ways teams put agent actions under control.

Choose the buyer outcome that matters first: controlled customer replies, security approval, tool governance, or enterprise rollout readiness.

View all solutions

Product surfaces

A control plane for agent actions, not another chat window.

A production agent program needs more than prompts. SwaYantra gives leaders, admins, reviewers, and operators the inspection surfaces they need before AI touches customers or business tools.

Email operations center
acme-eu / enterprise plan
Live
Emails handled
1,284
82 approval sends
Evidence chain
Verified
4,244 events
Quote value
$84.2k
approval-gated

Audited email detail

Customer context, policy, pricing, model, cost, and evidence resolve before output ships.

Sales Reply
inbound emailpricing request #412
quotedeterministic total
approvalfinancial gate
evidenceverified packet

Readiness queue

Quote reply needs approval
discount threshold detected
Campaign launch waiting
suppression check required
Support auto-send candidate
low-risk FAQ response

Operator readiness

Inbox, business brain, approval policy, quote rules, campaign controls, and evidence gates.

94%
Inbox
Policies
Quotes
Campaigns
Operating loop

From a teammate request to a verifiable business record.

Support replysupport-reply
Quote draftquote-draft
MCP write toolmcp-write
Evidence exportevidence-export
Step 01

Choose the governed action.

Start with a customer reply, quote draft, or MCP tool call. Each action carries a declared risk class, policy, and approval path before it runs.

slack@SwaYantra approve support reply #412
cursortool: crm.update_contact
webweb › Shadow run › review evidence
Step 02

Run through policy.

Web admin, Slack approvals, Gmail workflows, or MCP clients all pass through the same tenant policy, provider controls, and shadow-mode constraints.

policy.allowedseq 4242
approval.requiredseq 4243
receipt.savedseq 4244
Evidence verified · 4,244 events
Step 03

Evidence lands automatically.

Every governed run records the model path, tool calls, approvals, sources, cost, and tamper-evident audit trail for later inspection.

Governance by default

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

The control layer security, support, finance, and operations ask for before agents touch customers or internal tools.

Governed actions

Control the work, not the model.

Use OpenAI, Anthropic, Google, internal agents, or MCP clients while SwaYantra decides which tools they can call, which actions need approval, and what evidence gets kept.

Receipts and audit

Every action has a record.

Capture the model path, tool calls, approval chain, cost, context sources, and tamper-evident audit record so security and leadership can inspect what happened later.

Provider-key control

Your keys stay governed.

Use managed keys for a fast pilot or bring your own Anthropic, OpenAI, or Google keys when security wants direct ownership. Capability handles keep raw credentials away from agents and adapters.

Controls from day one

Shadow first, live later.

Run customer-facing workflows in shadow mode, review would-have-sent actions, tune approvals, and only move low-risk cases live once the evidence supports it.

Pilot case

Model value before live autonomy.

Start with a conservative support-and-quote pilot, then decide which governance, approval, and evidence controls justify moving from shadow mode to live workflows.

ROI calculator

Build the business case in real time.

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

Support, CS, or RevOps team

1500

Fully loaded hourly rate

$
$20$500

Customer drafts reviewed weekly

1500

Time saved per approved draft

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 gateway around the tools your team already uses. It is deliberately practical: clear product surfaces, clear price, clear controls, and evidence instead of theater.