AI Agent Platform
Shivacha Agent Platform: Build, govern and operate AI agents that do real work across your systems.
Run
Claims intake
Steps
Classify → Extract → Check
Approval
Required
Typical implementation
3–5 weeks
White-label implementation
Customization
Highly customizable
Advanced builds: 5–8+ weeks
- White-label
- Ready to launch
- Production-ready
- Customizable
- API-ready
Timelines refer to software implementation and deployment scope for a defined configuration. Third-party integrations, regulatory approvals, banking and card-issuer onboarding, custody and liquidity agreements, security audits and other external dependencies may require additional time.
How it works
How AI agents work.
Production agents are governed systems: they plan, use typed tools and permissioned data, and escalate to people before consequential actions.
- 1InputA request, document or event arrives.
- 2AgentPlans the task and retrieves relevant policy.
- 3ToolsTyped APIs with scoped permissions.
- 4DataPermission-aware retrieval from your systems.
- 5DecisionEvaluated; human approval above set thresholds.
- 6ActionExecuted in business systems and fully logged.
Overview
An agent platform with a tool registry, scoped permissions, workflow orchestration, human approvals, full traces and evaluation — for deploying reliable agents across business systems.
The problem
Agent prototypes are easy; agents that act safely in production systems — with permissions, approvals, audit trails and measurable reliability — are not.
The solution
Shivacha Agent Platform provides the runtime and governance layer for agents: typed tools with least privilege, approval gates, shadow mode, traces and success metrics.
Feature modules
What's inside
Agent runtime
Planning, tool calling, memory and step limits.
Tool registry
Typed, validated tools with scoped credentials.
Workflow orchestration
Multi-agent and graph-based workflows.
Human-in-the-loop
Approval queues and escalations.
Traces & audit
Step-by-step logs of every action.
Evaluation
Task success metrics and shadow-mode comparisons.
Product preview
Designed for operators and end users.
- Least-privilege tools
- Approval gates
- Shadow mode
- Multi-agent workflows
- Model routing
- Cost and step budgets
- Exception queues
- Full action audit
- Understand requestIntent: refund · order #4821
- Retrieve policyRefund policy v3 · 2 sources cited
- Call toolsorders.lookup · payments.status
- 4Human approvalRefund above auto-approve limit
- 5Execute actionpayments.refund
- 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.
Specifications
Deployment, security and integration
Integrations
- CRM
- ERP
- Ticketing systems
- Email & calendar
- Databases
- Internal APIs
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
- Operations automationReconciliation, triage and data entry.
- Customer onboardingDocument collection and checks.
- Research and briefingCompiling account or market briefs.
- IT and HR serviceResolving internal requests.
See it in action
Request a tailored demo for your use case.
Demos are tailored to your markets, partners and integration requirements.
Custom engineering
Extend it with our services
AI Agent Development
AI agents that plan, use tools and complete multi-step business tasks — with scoped permissions, approvals and full audit trails.
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Multi-agent and agentic systems that coordinate specialised agents across long-running workflows with supervision and control.
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Design and build AI-powered workflows that connect your systems, route decisions and escalate exceptions automatically.
Learn moreRelated products
Works well with
Shivacha AI Workflows
Orchestrate processes where rules, integrations, AI and people each do their part.
Learn moreShivacha AI Support
AI support that resolves, not just responds — grounded in your knowledge and systems.
Learn moreShivacha AI Sales Agent
An AI sales assistant that qualifies, researches and books — inside your CRM.
Learn moreLearn more
Related thinking
Agentic claims intake with human approval
A reference design for an AI workflow that reads claim submissions, extracts and validates data, and prepares cases for adjusters.
Learn morePermission-aware enterprise knowledge assistant
How we design a RAG assistant that answers from thousands of internal documents while respecting every user's access rights.
Learn moreWhy most AI pilots never reach production — and the engineering that fixes it
The model is rarely the problem. Retrieval quality, evaluation, integration and governance decide whether an AI pilot becomes a production system.
Learn moreFAQ
Frequently asked questions
Can agents take actions without approval?
Only for tasks where you enable autonomy after measured reliability; approvals are the default for consequential actions.
Where does it run?
In your cloud account or as a managed deployment.
Which models are used?
Model choice is configurable per agent and task.
Request a product demo.
See how Shivacha Agent Platform fits your business, and how we would customise and deploy it.