Workflow Automation
Relevance AI
Workforce of agents with tools
Relevance AI is an agent workbench: tools, knowledge, and workforce views. Start with one job and logs.
Buyer verdict
Relevance AI offers a substantial agent and multi-agent workbench. That flexibility is valuable after a process is understood and hazardous before it is. Buy around one bounded workflow, make handoffs and approvals visible, and measure successful end states rather than the number of agents created.
Pricing and feature limits checked September 23, 2026. Vendor terms can change.
What it costs
Use the list price as a starting point. Model every role and the limits your operating process will actually use.
| Plan | Published price | What to notice |
|---|---|---|
| Free | $0 | 200 actions per month, a small vendor-credit allowance, one user, one project, and one workforce. |
| Pro | $29 monthly or $19/month billed annually | 2,500 monthly actions, two build users, scheduling, escalations, and activity history. |
| Team | $349 monthly or $234/month billed annually | 7,000 monthly actions, five build users, 45 end users, shared projects, testing, and analytics. |
| Enterprise | Custom | Adds broader governance, evaluations, controls, and implementation support. |
Worked cost check
The published monthly Pro plan includes 2,500 actions and $20 of vendor credits. A useful estimate multiplies actions per successful case by monthly case volume, then adds model credits, retries, failed runs, and human review. A multi-agent diagram can consume more actions without improving the accepted outcome.
Where it earns the seat
- • A repeatable multi-step process needs tools, structured handoffs, schedules, and visible execution history.
- • Operators and engineers need a shared surface for agent design, testing, and monitoring.
- • The team has historical cases that can become evaluations and clear rules for escalation.
Where it faceplants
- • A team creates several agents before it can draw the current process or name the owner of each handoff.
- • Action counts and vendor credits are estimated from a happy path that excludes retries and exceptions.
- • An AI-directed handoff is used where a deterministic next step would be cheaper and easier to audit.
A test that produces a buying answer
Run these jobs with your data. Record the result before anyone discusses whether the interface feels modern.
TEST 1
Replay 50 closed cases
Measure: Correct completion, wrong actions, escalations, credits, and human minutes per accepted case.
TEST 2
Break one integration
Measure: Whether partial work is visible, contained, and safely replayable.
TEST 3
Compare one agent with a workforce
Measure: Outcome quality and operating cost—not diagram sophistication.
TEST 4
Change a routing rule
Measure: Version control, regression results, approval, and rollback time.
Continue the decision
Price the whole operating change
Model every seat and the human work around it, then document the baseline, evidence grade, and stop rule before approval.
Primary sources
AAT · Editorial reading
The Dials
Four readings. Not a score. Not a room.
Agent workbench. Needs an owner. Can grow teeth.
Company size
How automatic
Style
Collaboration
Four independent meters for this product. They do not cross. Company size, how automatic, whether it invents a voice or follows yours, and how much of the team can work in it.
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