Relevance AINo-code platform for building and orchestrating AI agents that automate business workflows.

4.5 (6)

Reviewed by Daniel Nikulshyn·Updated May 2026

No-Code AI Agents Workflow Automation Multi-Agent Business Operations Integrations Drag-and-Drop

Overview

Relevance AI is a no-code platform that lets teams design, deploy, and manage AI agents to handle repetitive business tasks. Users can configure agents with custom tools, knowledge sources, and instructions, then connect them to existing systems to automate work across sales, marketing, support, and operations. The platform supports multi-agent workflows, allowing several specialized agents to collaborate on more complex processes. With integrations for common SaaS tools and the ability to use multiple LLM providers, it positions itself as a flexible alternative to hiring for routine knowledge work.

Key features

Drag-and-drop agent builder
Custom tools and actions for agents
Knowledge base and document ingestion
Multi-agent workflow orchestration
API and third-party integrations
Task scheduling and monitoring

Pricing

Model: Free
Category: AI Agents Platform
Rating: 4.5 / 5 (6)

Use cases

Automate Sales Outreach and Lead Qualification

Deploy AI agents to research prospects, score leads, and draft personalized outreach, freeing sales reps to focus on closing high-value deals.

Scale Customer Support Responses

Configure support agents with a knowledge base to triage tickets, answer common questions, and escalate complex issues to human staff.

Orchestrate Multi-Step Marketing Workflows

Use multi-agent collaboration to handle content research, drafting, and distribution across connected SaaS tools without manual handoffs.

Automate Internal Operations Tasks

Schedule agents to ingest documents, update records in business systems, and run recurring back-office processes via API integrations.

Pros & Cons

Pros

No-code interface accessible to non-developers
Supports multi-agent collaboration
Integrates with popular business tools
Choice of underlying LLM providers

Cons

Advanced agent setups still require technical knowledge
Pricing can scale quickly with heavy usage
Output quality depends on chosen LLM and prompt design

Reviews

4.5

Average from 6 ratings.

Liam O’Connor

Feb 26, 2026

Solid for our team

We rolled this out across the team last quarter and choice of underlying LLM providers. Drag-and-drop agent builder fits neatly into how we already work, and task scheduling and monitoring removed a step we used to do by hand. Advanced agent setups still require technical knowledge, which is the main caveat, but it has held up under daily use.

Victor Nguyen

Feb 11, 2026

Use it every day

Honestly didn't expect to like it this much. API and third-party integrations is exactly what I needed, and no-code interface accessible to non-developers. I do wish pricing can scale quickly with heavy usage, but I reach for it almost every day now and it just clicks.

Sofia Lindqvist

Nov 30, 2025

Solid for our team

We rolled this out across the team last quarter and no-code interface accessible to non-developers. Drag-and-drop agent builder fits neatly into how we already work, and multi-agent workflow orchestration removed a step we used to do by hand. but it has held up under daily use.

Aaliyah Johnson

Nov 23, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on knowledge base and document ingestion, and no-code interface accessible to non-developers caught me off guard. Pricing can scale quickly with heavy usage is why this isn't a perfect score, still, I'd recommend giving it a real trial.

Frank Müller

Oct 5, 2025

Does the job

Pretty happy overall. Task scheduling and monitoring just works and supports multi-agent collaboration. but no dealbreakers — I'd recommend it to a friend without hesitating.

Jamal Carter

Jul 12, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: aPI and third-party integrations and integrates with popular business tools. Where it lags: output quality depends on chosen LLM and prompt design. On balance the feature set — especially task scheduling and monitoring — justifies the 5 stars for our use case.