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Shivacha AIRevenueReady to launch

Shivacha AI Sales Agent

An AI sales assistant that qualifies, researches and books — inside your CRM.

Shivacha AI Sales Agent · Agent runs

Run

Claims intake

Steps

Classify → Extract → Check

Approval

Required

StepToolResult
1 · Classifydoc.classifyClaim form
2 · Extractdoc.extract12 fields
3 · Policy checkpolicy.lookupNeeds review
Illustrative interface · sample data

Overview

An AI sales agent for inbound qualification, account research, personalised follow-ups and meeting booking — with CRM integration, approval controls and full activity logging.

The problem

Sales teams lose leads to slow responses and spend hours on research and admin instead of conversations.

The solution

Shivacha AI Sales Agent handles first response, qualification questions, research briefs and scheduling, while reps approve outreach and focus on selling.

Feature modules

What's inside

Inbound qualification

Conversational qualification on web and email.

Account research

Briefs from CRM and approved sources.

Follow-up drafting

Personalised emails for rep approval.

Meeting booking

Calendar integration and routing.

CRM sync

Activities and fields updated automatically.

Controls

Approval rules and brand guidelines.

Product preview

Designed for operators and end users.

  • Instant lead response
  • Qualification frameworks
  • Research briefs
  • Draft-and-approve outreach
  • Calendar booking
  • CRM updates
  • Activity logs
  • Performance analytics
Agent run · Support refund
Illustrative
Customer: My order arrived damaged — can I get a refund?
  1. Understand requestIntent: refund · order #4821
  2. Retrieve policyRefund policy v3 · 2 sources cited
  3. Call toolsorders.lookup · payments.status
  4. 4Human approvalRefund above auto-approve limit
  5. 5Execute actionpayments.refund
  6. 6Respond & logCustomer reply · audit trail

Tool call

orders.lookup({
  order_id: "4821"
}) → { status: "delivered",
      amount: 42.00 }

Approval required

Refund 42.00 to original payment method

Architecture

Built to integrate and extend.

Modular services behind stable APIs, deployed into your environment.

Shivacha AI Sales Agent architecture
5Interface
Web appEmbedded widgetAPIs
4Orchestration
Agent runtimeToolsGuardrails
3Knowledge
RAG pipelineVector searchConnectors
2Models
Hosted LLMsOpen-weight modelsRouting
1Operations
EvaluationTracingCost controls

Specifications

Deployment, security and integration

Integrations

  • CRM platforms
  • Email
  • Calendars
  • Website chat
  • Enrichment providers

Security

  • Data stays in your environment where required
  • Role-based access and document-level permissions
  • Prompt-injection and output guardrails
  • Full audit logs of prompts, tool calls and outputs
  • Encryption in transit and at rest

Deployment

  • Your cloud account (AWS, Azure, Google Cloud)
  • Private VPC with self-hosted models
  • Managed deployment operated by Shivacha
  • Hybrid: hosted UI, private data plane

Customisation

  • Model and provider selection
  • Custom tools and integrations
  • Brand, tone and guardrail policies
  • Workflow and approval rules
  • Custom evaluation sets

Use cases

Who launches with it

  • Inbound lead handlingRespond and qualify instantly.
  • Account-based researchPrepare reps for meetings.
  • Pipeline hygieneKeep CRM data current.
  • Event follow-upPersonalised post-event outreach.

See it in action

Request a tailored demo for your use case.

Demos are tailored to your markets, partners and integration requirements.

FAQ

Frequently asked questions

Does it send emails automatically?

By default, drafts are approved by reps; automation can be enabled for defined scenarios.

Which CRMs are supported?

Major CRMs through APIs, plus custom CRMs.

How is data privacy handled?

Data processing follows your policies, with regional deployment options.

Request a product demo.

See how Shivacha AI Sales Agent fits your business, and how we would customise and deploy it.