vsRelevance AI vs Dust
Dust is built for lots of simple agents your team can chat with. Relevance AI builds those in minutes too, then goes further: orchestrated agents that run whole workflows and keep optimizing them.
Which platform fits your team
Both are good tools. The right one depends on the shape of your work.
A multiplayer AI workspace: connect your company knowledge, then give every team simple agents they can chat with in the app, in Slack, and in the browser.
You want lots of simple agents, quickly, for every team to chat with.
The work is mostly answers out of company knowledge: Slack, Notion, Drive, and docs.
Simple chat agents are your only use case, so a workforce platform is more than you need.
Relevance AIAn AI workforce platform: a chat app and a builder for simple agents, plus the orchestration to turn them into workflows that run end to end and improve on every run.
Chat agents are the start, not the end: you also need several agents running in sequence and in parallel.
The work runs through systems of record: CRM, marketing, billing, and ticketing, not only documents.
You need the workflow to keep improving, with evals and monitoring on every run.
Where Relevance AI is different
Orchestrated workflows, not single agents
Dust agents call sub-agents inside a conversation, four levels deep. Relevance orchestrates agents in parallel streams across a whole workflow, so the work doesn’t stop at the edge of a chat.
Workflows that optimize themselves
A Dust agent stays as good as the prompt you last wrote. Relevance scores every live run against your quality bar and feeds that back into the agents, so the workflow improves instead of drifting.
Runs the process, not just the answer
Dust’s center of gravity is your knowledge: connect Slack, Notion, and Drive, then ask. Relevance agents work in the systems the process actually lives in, across 1,000+ native connectors.
Knowing the policy is not the same as applying it
The kind of question a simple chat agent answers out of your policy docs, run all the way out instead: the agent checks the account’s real numbers, applies the approval matrix, and escalates the one call it should not make itself.
Approval request · Meridian Freight renewal, 22% off
Deal Desk AnalystA rep is asking for 22% off the Meridian Freight renewal to close it this quarter. Checking what policy allows, and what the account actually justifies.
Reading the discount policy and approval matrix3sA rep can sign off 15%. Above that it needs the VP, unless it is a multi-year commitment, which allows up to 25% with deal desk sign-off.
Pulling the opportunity: term, ARR & renewal date2sIt is a 12 month renewal, not multi-year, so the exception that would cover 22% does not apply as the deal is written.
Checking product usage over the last two quarters4s92% of seats are active and usage is climbing. This is not a churn save, the discount is being asked for speed.
Reading the last renewal call3sOn that call the buyer offered a two year commitment for a better rate. That path is inside policy at this discount, and worth more than a cheaper single year.
Checking prior approved exceptions on the account2sThey already had a 10% exception last renewal. Stacking a second one on a one year term would set the floor for every renewal after this.
Escalating to deal desk with the recommendation1sHow the platforms compare
Both give business users a chat app and simple agents they can build in minutes. The difference is the ceiling: Dust is built around lots of simple agents a team chats with, Relevance AI is built for orchestrated agents that run an entire workflow and optimize it run after run.
Switching is easy
You don’t have to rip anything out. Keep Dust for the simple agents it’s good at, and let our team stand up your first orchestrated workflows in weeks.
Connect Dust to Relevance
Link the tools and data you already use, Dust included, so Relevance runs alongside your current stack from day one.
Connect Dust to Relevance
Link the tools and data you already use, Dust included, so Relevance runs alongside your current stack from day one.
Move your first workflows over
We turn your highest-impact processes into orchestrated agents, proven against your quality bar, while Dust keeps serving the chat agents your team already uses.
Move your first workflows over
We turn your highest-impact processes into orchestrated agents, proven against your quality bar, while Dust keeps serving the chat agents your team already uses.
Expand beyond company Q&A
With your first agents live, staff the rest of your teams, from revenue and marketing operations to support and finance.
Expand beyond company Q&A
With your first agents live, staff the rest of your teams, from revenue and marketing 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 Dust: FAQ
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