The Unified Platform for Enterprise AI Agents
Covasant Agent Management Suite (CAMS) is an enterprise-grade platform for the end-to-end AI agent lifecycle. Build, orchestrate, govern, and monitor every agent across your organization, without fragmentation or vendor lock-in.
From zero to production in three steps
CAMS is accessible via any modern browser. Authenticate once with your organization's Azure Entra or GCP credentials and move seamlessly across all modules.
Build your agent
Configure persona, select a base model, define system prompt, and optionally attach a knowledge base. Test in the integrated playground before moving on.
Register and deploy
Create a deployment plan, select your target environment (Dev, QA or Production), and deploy the agent instance. Or register externally-built agents from Gemini, Azure, AWS or Databricks.
Monitor in production
Review dashboard metrics, monitor live sessions, investigate LLM logs, set budget caps, and adjust guardrails. Full cost attribution and compliance reporting out of the box.
The control plane for enterprise AI agents
Build, orchestrate, govern, monitor, and scale every agent across your enterprise, without losing control, compliance or context.
Purpose-built for enterprise AI agents
CAMS brings every capability that enterprises need into one unified platform. No fragmented tools, no hidden complexity.
Agent Work Bench
The primary agent development environment within CAMS. A unified interface for technical and business teams to create, configure, and manage individual AI agents. No-code and pro-code in the same platform.
Workspace Dashboard
At-a-glance view of all agents across the workspace. Breakdown by agent type (No-Code, Pro-Code) and current status (Active, Idle, Pending).
No-Code & Pro-Code Agents
Build no-code agents through a guided interface. Pro-code agents use the framework template. Configure instructions, skills, knowledge bases, tools, and sub-agents.
Integrated Playground
Test agent responses immediately after configuration. Select any model from the Model Hub to validate across different LLM backends before deployment.
Knowledge Bases
Multi-provider RAG pipelines for grounded responses. Supports Vertex AI Search, Azure AI Search, AWS Kendra, Mosaic AI Vector Search, FAISS, and CAMS Native.
MCP Tool Hub
A single, secure MCP gateway connecting your agents to any MCP server. Every external service call is standardized, auditable, and controlled from one central point.
Model Hub
Continuously updated repository of AI models from all providers. Browse, configure, and connect models to agents with multi-provider credential management.
Multi-Agent Orchestration
Visual drag-and-drop canvas for connecting individual AI agents to coordinated multi-step pipelines. Design and deploy complex multi-agent workflows without custom engineering effort including third-party agents via Agent-to-Agent (A2A) protocol.
Visual Canvas
Design your agent workflows visually. Drag, drop, and connect agents from CAMS or any provider onto a node-based canvas defining logic, dependencies, and execution flow.
Third-Party Agent Support Via A2A
Orchestrate agents built on any external platform like Gemini Enterprise, Azure AI Foundry, AWS Bedrock, and Databricks AgentBricks using the Agent-to-Agent (A2A) protocol.
Sequential & Parallel Execution
Dynamic Orchestration MAO determines the right execution strategy for every task running agents in sequence, in parallel, or both. From pre-processing and planning to execution and response synthesis, every step is orchestrated with purpose.
Built-in Playground
Test orchestration flows before promoting. Visualize the full processing pipeline: Preprocessing → Planning Executor → Response Synthesis.
MAO Library
Searchable catalog of all orchestrations with name, description, status (Active/Draft), instruction count, instance count, and last-updated metadata.
Draft & Publish Lifecycle
Save orchestrations as 'Draft' during design and testing, then 'Publish' to promote to QA, Staging, or Production.
Agent Registry
The organization-wide catalog for every AI agent, whether CAMS-native or externally built. Manage multi-environment deployments, cross-cloud discovery, and multi-tenant configuration from one place.
Unified Agent Library
Lists all registered agents CAMS-native and external. Total instances per agent across environments, with status and deployment details.
Cross-Cloud Agent Discovery
Auto-discover agents from Gemini Enterprise, Azure AI Foundry, AWS Bedrock, and Databricks AgentBricks into the unified library.
Multi-Environment Management
Create and manage Dev, QA, Test, and Production environments. Define promotion workflows. Deploy to GKE, AKS, EKS, or GCP Agent Engine seamlesly.
Multi-Tenant Support
Define tenants with per-tenant agent behavior, customized prompts, knowledge bases, and secrets per tenant.
Visual Deployment Plans
Select agent, runtime, environments, and tenant configurations on a visual canvas. Full deployment lifecycle tracking.
Real-Time Activity Log
Paginated audit trail of all Registry actions with timestamps, actor attribution, and completion status.
AI Agent Control Tower
Real-time production observability for your entire agent estate. Monitor costs, enforce guardrails, audit every LLM call, and manage budgets; full accountability for every agent in production.
Operations Dashboard
Consolidated view of recent spending, LLM usage metrics, and model-level activity across all models in use.
Cost Attribution
Ranked views of highest-cost agents, models, users, and providers. Per-request cost tracking enables precise budget optimization.
LLM Call Audit Log
Paginated, searchable log of every LLM API call: timestamp, status, session ID, agent name, model, provider, tokens consumed, and per-call cost.
Guardrail Policy Enforcement
Configure and enforce: content filters, PII detection and redaction, output length limits, and compliance policies (GDPR, HIPAA).
Budget Management
Set platform-wide or per-agent maximum budget thresholds to prevent cost overruns. Automated alerts when spend approaches limits.
Provider Management
Configure external AI service providers like GCP, AWS, Azure, and Databricks with API keys and service endpoints.
Integrations
CAMS integrates with all major hyperscalers across the full agent lifecycle from knowledge storage to production monitoring, with no custom connectors required.
Google Cloud Platform (GCP)
Full integration across AWB, MAO, Registry, and Control Tower for GCP-native workloads.
Microsoft Azure
Full Azure stack integration from knowledge retrieval to multi-agent orchestration and monitored deployment.
Amazon Web Services (AWS)
AWS-native knowledge, models, deployment, and Bedrock agent discovery integrated across all CAMS modules.
Databricks
Mosaic AI vector search, open-source LLMs, and AgentBricks agent discovery fully integrated.
Governance
Enterprise-grade access control, policy enforcement, and audit logging built into every module. RBAC, ABAC, SSO, PII redaction, GDPR/HIPAA compliance enforced at build time and runtime.
RBAC Role-Based Access Control
Multiple user groups linked to roles and scope. Configurable roles per persona. Scope levels: System / Org Unit / Project.
ABAC Attribute-Based Access Control
CAMS enforces Chinese walls across every layer org, project, and user. Granular access attributes ensure strict information barriers, keeping sensitive data, agents completely isolated where it matters most.
SSO & Cloud Identity
Authenticate via Microsoft Azure Entra or Google Cloud IDP. SSO works seamlessly across all CAMS modules.
Runtime Policy Enforcement
Content filters, PII detection and redaction, output length limits, and compliance policies (GDPR, HIPAA) enforced at runtime.
Full Audit Trails
Every agent action, LLM call, deployment, and config change is logged. Paginated, searchable audit logs across all modules.
Agent Promotion
CAMS gives you full control over how agents move through your environments. Promote from Dev to QA to Production by retaining existing instances alongside new deployments, or undeploy and advance ensuring no agent reaches Production without a governed, traceable path.
Real problems. Real agents.
Measurable outcomes.
AI-Driven Financial Recon for Multinational Bank Holding Company
Thousands of analyst hours were being consumed by manual reconciliation across fragmented banking integrations with no real-time visibility, no intelligent recommendations, and mounting operational toil putting productivity and compliance at risk. CAMS deployed as a non-invasive Side-Car Architecture, agentifying the end-to-end reconciliation process, orchestrating complex queries across specialized agents, and delivering trusted 360-degree financial insights all without touching the existing enterprise finance system.
Eliminating SOC Alert Fatigue in Life Sciences
Critical healthcare data was at risk ,alert overload, slow manual triage, and analyst fatigue had pushed a Life Sciences SOC beyond its limits. CAMS deployed a modular AI agent framework with a Supervisor Agent orchestrating triage, classification, and remediation through specialized sub-agents auto-executing playbooks for consistent, scalable, and audit-ready incident response across a complex multinational environment.
Manual Triage to Intelligent Customer Query Orchestration
Routine queries flooding every channel were burying customer service teams manual triage created delays, repeat contacts eroded trust, and relationship managers had no capacity left for the complex interactions that truly needed them. CAMS solved this with an omni-channel query orchestrator that auto-resolves, triages, and routes every query with full context and real-time SLA tracking.
Eliminating Claims Bottlenecks in Manufacturing Finance
High claim volumes, fragmented manual processes, and higher cycle times were creating costly bottlenecks across finance operations with manual data entry, undetected anomalies, and compliance gaps exposing the business to fraud and leakage. CAMS agentified the end-to-end claims process, eliminating manual bottlenecks, detecting anomalies in real time, and delivering the operational transparency needed to control fraud and strengthen compliance.
AI-Enabled G2C Service Transformation
Slow service launches, high rejection rates, and inaccessible digital channels leave millions of citizens especially in rural communities , unable to engage with government services. CAMS addresses this directly, enabling governments to deploy inclusive, AI-driven citizen services faster, with transparent processes that reduce friction and build lasting trust.
Closing the Intelligence Gap on the Retail Floor
Pattern-level insights were locked in back-office systems never reaching the frontline associates who needed them most. When customers asked for out-of-stock products, associates had no real-time visibility to offer alternatives or close the sale. CAMS changed that with a conversational Sales Agent that puts live inventory intelligence in the hands of every associate, instantly and effortlessly.
Connects to everything
that your enterprise already uses
Grow your practice on the CAMS platform
Whether you're a global systems integrator delivering enterprise AI transformations or a startup building the next generation of agentic products, Covasant's partner programme is designed for you.
For global and regional SIs who want to build, implement, and manage CAMS deployments for enterprise clients.
- Dedicated partner enablement & certification
- Co-sell and joint GTM with Covasant
- Early access to platform roadmap
- Priority support SLA for partner deployments
- Co-branded case studies and thought leadership
For AI-native startups and ISVs who want to embed CAMS capabilities into their products or build vertical agent solutions on top of the platform.
- Discounted platform access for early-stage companies
- Listing in the Covasant partner directory
- Access to CAMS APIs and developer sandbox
- Startup-to-enterprise introductions via Covasant
- Joint product integration opportunities
Why partner with Covasant
First-mover advantage
Enterprise agentic AI is at an inflection point. Partner now to establish your practice before the market matures.
A platform built for partners
CAMS is modular and extensible. SIs can customize agent templates and ISVs can embed CAMS capabilities via API.
Backed by Covasant
Access Covasant's wide enterprise network, sales support, and technical experts to accelerate your deals and delivery.
Ready to adopt CAMS?
Reach out to our team to explore the right CAMS module for your organization.
Questions that matter the most.
Straight answers on architecture, security, AI grounding, and how CAMS works.
Talk to Us →Ready to bring your agents under control and governance?
Join the growing community of enterprise teams using CAMS to ship AI agents that are trustworthy, observable, and compliant.