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Relevance AI vs Gemini Enterprise
Gemini Enterprise is Google Cloud’s agent platform for the cloud and platform team. Relevance AI is an AI workforce business teams own and run themselves.
Which platform fits your team
Both are good tools. The right one depends on the shape of your work.
Gemini Enterprise Agent PlatformA powerful Google Cloud agent platform: build and run agents deep on your GCP data and infrastructure, with strong orchestration and governance.
Your agents run deep on Google Cloud data and infrastructure, close to BigQuery and Vertex.
A cloud or platform team owns agent development and wants full control inside GCP.
You’re standardizing agents on Google Cloud’s stack and governance.
Relevance AIA business-first AI workforce owned by the teams that do the work, not the cloud or platform team: business users build and run specialist agents across every tool.
Business teams should own and run their own agents, without waiting on a cloud team.
Your work spans everyday SaaS tools across marketing, sales, support, and operations.
You want production quality the people who own the work can manage themselves.
Where Relevance AI is different
Built for the business team, not the cloud team
Business users can build no-code agents, but Gemini’s full platform, governance, and optimization stack stays with cloud and IT. Relevance is owned end to end by the business team that does the work.
Quality your domain experts own
Gemini’s simulation and optimizer are powerful but skew toward engineers. Relevance puts production evals and monitoring with the people who own the work.
Deep in your business tools
Gemini ships around 30 native connectors and reaches the rest through MCP bridges. Relevance has 1,000+ native connectors that read and write the specific objects your agents act on.
Marketing ops without a cloud engineer
A weekly newsletter pick made the way a marketer would: the agent weighs account health, recent coverage, and what you’ve run lately, then holds and escalates rather than shipping the wrong feature. The kind of run a business team owns without a cloud engineer.
Request · Feature Acme in Thursday’s newsletterMarketing OpsMarketing wants Acme in Thursday’s send. Checking they’re the right pick before I lock the slot: how they’re doing with us, recent coverage, and whether we’ve featured them lately.
Pulling Acme’s account health and recent activity3sAcme renewed and usage is up, so they’re a strong story on paper.
Checking the content calendar for past features2sWe ran an Acme case study only three weeks ago. Featuring them again this soon reads as thin.
There is a layoffs story from yesterday. A celebratory feature on top of that would land badly.
Northwind just went live and has a clean, recent win. Better fit for this send.
Flagging the swap to the campaign owner for sign-off1sHow the platforms compare
Both let you build and run capable agents. The difference is who owns them: Gemini Enterprise is built for the cloud and platform team on Google Cloud, while Relevance AI puts an AI workforce in the hands of the business teams that do the work.
Gemini Enterprise Agent PlatformGemini Agent PlatformSwitching is easy
You don’t have to rip anything out. Keep Gemini Enterprise for the GCP-native agents it’s great at, and let our team stand up your first business-owned agents in weeks.
Connect Gemini Enterprise to Relevance
Link the tools and data you already use, Gemini included, so Relevance runs alongside your Google Cloud stack from day one.
Connect Gemini Enterprise to Relevance
Link the tools and data you already use, Gemini included, so Relevance runs alongside your Google Cloud stack from day one.
Move your first workflows over
We turn your highest-impact business workflows into agents, proven against your quality bar, while Gemini keeps running your GCP-native work.
Move your first workflows over
We turn your highest-impact business workflows into agents, proven against your quality bar, while Gemini keeps running your GCP-native work.
Expand beyond the data team
With your first agents live, staff the rest of your business teams, from marketing to support and operations.
Expand beyond the data team
With your first agents live, staff the rest of your business teams, from marketing to support and operations.
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 Gemini Enterprise Agent Platform: FAQ
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See Relevance AI on your own workflows
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