vsRelevance AI vs Claude Managed Agents
Claude Managed Agents are engineer-built, Claude-only agents Anthropic hosts. Relevance AI lets business teams run their own agents on any model, across every team.
Which platform fits your team
Both are good tools. The right one depends on the shape of your work.
Server-hosted agents built and run by engineers through Anthropic’s API, SDK, and CLI, powered by Claude’s frontier models.
Your engineers build agents in code and want to stay in the API, SDK, and CLI.
You are standardizing on Claude models and want Anthropic to host the runtime.
You want low-level control over the agent loop more than a business-owned workforce.
Relevance AIAn AI workforce business teams run themselves: specialist agents on any model, across operations, support, sales, and finance.
The team that owns the work should run its own agents, without an engineer in the loop.
You want to route each agent to the best model, Claude included, not one provider.
You need deep multi-agent orchestration across operations, support, sales, and finance.
Where Relevance AI is different
GPT-5.297%
Gemini 3 Flash96%
Kimi K381%Business teams, not just engineers
Claude’s agents are built and run by engineers in the API. Relevance lets the team that owns the work run its own agents.
Any model, not Claude only
Claude Managed Agents run Claude models only, with no third-party routing. Relevance sends each agent to the best model for the job, Claude included.
Deep orchestration, not one coordinator
Claude’s coordinator delegates a single level. Relevance orchestrates nested multi-agent workflows, with agents delegating to agents.
Run by your ops team, not wired up by engineers
A vendor renewal a business ops team owns end to end: the agent reads the contract, weighs real usage against hiring plans, and escalates the one call it should not make alone, no engineer wiring required.
Renewal due in 30 days · Zendesk, 120 seats
Ops CoordinatorZendesk renews in 30 days. Reviewing the contract and real seat usage before it auto-renews, and flagging anything the ops lead should decide.
Reading the contract: seats, term, auto-renew clause3sThe auto-renew clause needs 60 days notice to change seat count. We are inside 30 days, so a change this cycle may not be allowed. Holding that as an open question.
Pulling active-seat counts from the ops tracker4sWe pay for 120 seats but only 74 logged in this quarter. On usage alone we could drop 46.
Checking next-quarter headcount with the ops lead2sSupport is hiring 15 people next quarter, so cutting to 74 would leave us short mid-term. Right-sizing to 95, not 74.
How the platforms compare
Both put agents into production. The difference is who runs them and on what: Claude Managed Agents are wired up by engineers on Claude models, while Relevance AI is an AI workforce business teams run themselves on any model.
Switching is easy
You don’t have to rip anything out. Keep Claude models where they shine, and let our team stand up your first business-owned Relevance agents in weeks.
Connect Claude Managed Agents to Relevance
Link the tools, data, and Claude models you already use, so Relevance runs alongside your current setup from day one.
Connect Claude Managed Agents to Relevance
Link the tools, data, and Claude models you already use, so Relevance runs alongside your current setup from day one.
Move your first workflows over
We turn your highest-impact workflows into agents your business teams run, proven against your quality bar, while your engineers keep building where code fits best.
Move your first workflows over
We turn your highest-impact workflows into agents your business teams run, proven against your quality bar, while your engineers keep building where code fits best.
Expand beyond engineering
With your first agents live, hand the rest to the teams that own the work, from operations to support and finance.
Expand beyond engineering
With your first agents live, hand the rest to the teams that own the work, from operations to support and finance.
Built for enterprise teams
Run agents on your real data with the access controls, audit trails, and residency guarantees enterprises require all built in.
Security & data privacy
- Data residency
- PII masking
- Audit logs
- No training on your data
Access & controls
- Role-based access control
- SSO / SAML
- Human-in-the-loop approvals
- Version control
Monitoring & oversight
- Real-time monitoring
- Full agent tracing
- Cost visibility
- OTEL & Delta Share export
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
"The key for us was how we can modularize industry knowledge and the best playbooks, and apply it."
Allen Roh
Senior Marketing Manager, Autodesk
"We're looking for every place where AI can allow sellers and customer success reps to be more engaged with customers."
Rob Giglio
Chief Customer Officer, Canva
"The ability to be vendor agnostic and the ability to scale across a breadth of functions is a really key feature."
Levi Watters
Partner, KPMG Australia
Relevance AI vs Claude Managed Agents: FAQ
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See Relevance AI on your own workflows
We partner with enterprise teams to build agents proven against your quality bar and live in weeks. Bring one workflow and compare for yourself.