Covasant Agent Management Suite (CAMS)
The enterprise-grade platform for the complete AI agent lifecycle — build, orchestrate, govern, and monitor every agent across your organisation, without fragmentation or vendor lock-in.
What is CAMS?
CAMS is a unified, governance-first platform that manages AI agents from development through production. It eliminates the fragmentation of disconnected build and monitoring tools, and solves agent sprawl — untracked, ungoverned agents proliferating across teams with no audit trails or cost visibility.
| What enterprises face | How CAMS solves it |
|---|---|
| Strategy tools disconnected from development | One platform covering the full lifecycle |
| Monitoring isolated from build & deploy workflows | Unified observability from day one |
| No audit trails or cost visibility across agent deployments | Complete cost attribution and governance built in |
The Four-Stage Agent Lifecycle
CAMS organises AI agent management into four connected stages, each handled by a dedicated module:
| Stage | Module | Primary User |
|---|---|---|
| Build | Agent Work Bench (AWB) | AI Developer / Engineer |
| Connect | Multi-Agent Orchestration (MAO) | Solutions Architect |
| Register | Agent Registry (REG) | Governance Lead / Platform Admin |
| Monitor | Agent Control Tower (CTR) | AI Ops Manager |
Platform Modules
Agent Work Bench (AWB)
The primary agent development environment. A unified interface for technical and business teams to create, configure, and manage individual AI agents — supporting No-Code and Pro-Code agents in the same platform.
Key capabilities:
- No-Code agents via guided interface; Pro-Code agents using LangGraph-based templates
- Integrated Playground — test agent responses across any model before deployment
- Knowledge Bases (RAG) — Vertex AI, Azure AI Search, AWS Kendra, CAMS Native
- MCP Tool Hub — connect agents to external services via Model Context Protocol
- Model Hub — continuously updated repository of models from all major providers
Multi-Agent Orchestration (MAO)
Visual drag-and-drop canvas for connecting individual AI agents into coordinated multi-step pipelines. Design and deploy complex multi-agent workflows without custom engineering effort.
Key capabilities:
- Node-based canvas with zoom, sequential and parallel execution paths
- Third-party agent support via Agent-to-Agent (A2A) protocol — Gemini, Azure, AWS, Databricks
- Built-in Playground to test orchestration flows before promoting to production
- Draft → Publish lifecycle; MAO Library for searchable catalog of all orchestrations
Agent Registry (REG)
The organisation-wide catalog for every AI agent — CAMS-native and externally built. Manage multi-environment deployments, cross-cloud discovery, and multi-tenant configuration from one place.
Key capabilities:
- Unified agent library — all agents across providers in one searchable catalog
- Cross-cloud auto-discovery from Gemini Enterprise, Azure AI Foundry, AWS Bedrock, Databricks
- Multi-environment management — Dev, QA, Test, Production with deployment to GKE, AKS, EKS
- Multi-tenant support — per-tenant prompt, knowledge base, and secret customisation
Agent Control Tower (CTR)
Real-time production observability for your entire agent estate. Monitor costs, enforce guardrails, audit every LLM call, and manage budgets.
Key capabilities:
- Operations dashboard — spend trends, model activity, platform usage metrics
- Cost attribution — ranked views by agent, model, user, and provider
- LLM call audit log — every request logged with timestamp, tokens, cost, and session ID
- Guardrail policy enforcement — content filters, PII redaction, GDPR/HIPAA compliance
- Budget management — platform-wide or per-agent maximum thresholds
Platform Value
| Metric | Value |
|---|---|
| Lifecycle coverage | 360° — end-to-end visibility across every agent, model, and integration |
| Compliance | 24/7 real-time guardrails, evaluations, and policy enforcement |
| Operational efficiency | 70% less overhead compared to managing agents in silos |
| Audit readiness | 100% — every prompt, decision, and tool call logged and traceable |
Hyperscaler Integrations
CAMS integrates with all major hyperscalers across the full agent lifecycle — no custom connectors required:
| Provider | Knowledge Bases | LLM Models | Deployment | Agent Discovery |
|---|---|---|---|---|
| Google Cloud (GCP) | Vertex AI Search | Gemini Flash, Pro, Gemma | GKE, GCP Agent Engine | Gemini Enterprise |
| Microsoft Azure | Azure AI Search | DeepSeek, Llama, Mistral, Phi | AKS, Azure AI Foundry | Azure AI Foundry |
| Amazon AWS | AWS Kendra | Nova, Titan, Jamba | EKS | AWS Bedrock |
| Databricks | Mosaic AI Vector Search | Llama, Mixtral, MPT | — | AgentBricks |
Additional LLM providers: OpenAI, Anthropic, Cohere, xAI, Mistral, DeepSeek, Snowflake, and more.
Who Uses CAMS?
| Persona | Primary Module | Responsibilities |
|---|---|---|
| AI Developer / Engineer | Agent Work Bench | Build and configure no-code and pro-code agents; manage knowledge bases and models |
| Solutions Architect | Multi-Agent Orchestration | Design multi-agent pipelines; define execution flows on the visual canvas |
| Governance Lead / Platform Admin | Agent Registry | Govern the agent catalog; manage deployment environments and tenants |
| AI Operations Manager | Agent Control Tower | Monitor live agents; manage costs, guardrails, and LLM audit logs |
Industry Use Cases
CAMS is deployed across regulated and complex industries:
| Industry | Use Case | Outcome |
|---|---|---|
| BFSI | Fraud detection & AML scoring — real-time transaction analysis with explainable risk scoring | 3 weeks to production |
| Healthcare | Clinical trial operations intelligence — protocol monitoring, deviation detection, regulatory submission prep (HIPAA & 21 CFR Part 11) | 38% faster cycle |
| Insurance | Claims triage & underwriting — multi-modal processing with full decision auditability | 62% straight-through processing |
| Telco | Network ops & subscriber analytics — anomaly detection and churn prediction integrated with CRM | 24/7 live ops |
| Public Sector | Compliance & audit automation — continuous monitoring across procurement workflows, air-gapped deployment supported | 100% audit trail |
| Retail | Demand intelligence & loss prevention — SKU-level demand sensing and dynamic pricing recommendations | 17% margin lift |
Get Started
- New to CAMS? See the Getting Started guide for access, authentication, and your first three steps.
- Covasant team member? Sign in to access the full internal documentation — AWB, MAO, REG, CTR module references, deployment runbooks, and API docs.
- Partner? Contact your Covasant partnership manager for partner portal access.