Viktor vs Relevance AI: Which One Fits Your Team? (2026)

If you are looking for something to use instead of Relevance AI, the short answer is: Viktor if you want to hand work off in Slack or Microsoft Teams without building anything; Lindy or Gumloop if you still want a no-code agent builder; n8n if you want cheap, self-hostable workflow automation; Sintra AI for a solo founder who wants ready-made helpers; StackAI for regulated enterprises; Dify, Flowise or Langflow if you want open source; CrewAI or LangChain if your engineers prefer code; and Zapier Agents or MindStudio for low-cost starts. This guide compares Viktor and Relevance AI head to head, then ranks the alternatives on pricing model, free tier, self-hosting, agent vs workflow focus, integrations and learning curve, using vendor pricing pages and docs checked in October 2026.

Key takeaways

• Relevance AI is a builder. Viktor is an AI employee. One gives you a platform to design a workforce of agents; the other does the task when you ask him in Slack or Teams.
• Relevance AI no longer has a free plan. Paid plans start at $19 a month billed annually ($29 monthly), metered in Actions and Vendor Credits.
• Teams usually leave Relevance AI over setup and upkeep, not capability: every agent, tool and handoff is something you design and maintain.
• The right alternative depends on who will run it. Non-technical teams do best with Viktor, who connects to 9,800+ tools and asks for approval before sensitive actions; technical teams can save money with n8n or open-source tools.

What is Relevance AI, and why do teams look for alternatives?

Relevance AI is an Australian platform for building an “AI workforce”: you create individual agents, give each one a role, tools, knowledge and instructions, then chain them into multi-agent workforces that pass tasks between each other. Its best-known use cases are go-to-market jobs such as an AI SDR (sales development rep) that researches and qualifies leads, plus support triage and research. It offers 2,000+ integrations, knowledge bases for RAG (retrieval-augmented generation), an API and MCP server, and enterprise controls such as SSO and audit logs.

The strength is control. If you want an SDR agent that qualifies leads, hands them to a research agent, which hands a brief to a writer agent, Relevance gives you the canvas to build exactly that, and it runs the same way every time.

The reasons teams look elsewhere come up again and again in reviews and community threads:

• Build and maintenance time. A workforce you architect is a workforce you own. Prompts drift, tools break when an API changes, and someone has to fix them.
• Pricing that is hard to predict. Two meters (Actions and Vendor Credits) make it difficult to forecast what a busy month will cost.
• The free plan is gone. Small teams that used Relevance to experiment now have to pay from day one.
• Overkill for varied work. A designed pipeline is great for one high-volume process and awkward for “pull this, check that, draft the other thing” requests that change every week.

What does Relevance AI cost?

Relevance AI moved to a two-part pricing model on 8 September 2025, splitting usage into Actions (what your agents do, such as sending an email or updating a CRM record) and Vendor Credits (the AI model costs behind those actions, passed through at cost with no markup). You can bring your own API keys to bypass Vendor Credits. According to Relevance AI’s pricing documentation (checked October 2026):

Extra Actions cost $80 per 1,000, and extra Vendor Credits cost $20 per 10,000. The public pricing page now leads with the Enterprise plan and a “talk to sales” button, so expect a sales conversation for anything beyond a small team.

Viktor vs Relevance AI: how do they compare side by side?

Viktor is an AI employee who lives in Slack and Microsoft Teams. You do not configure him into a role or design a workflow. You @mention him, describe the outcome, and he does the work across your tools:

• pulls live numbers from Stripe, HubSpot, Google Ads and Linear and posts the report to your channel
• triages support tickets, drafts the replies and waits for your approval
• runs recurring jobs on a schedule: weekly pipeline reviews, daily digests, monthly board packs
• updates the systems where work lives, from your CRM to your project tracker, and can even use a browser for tools without an API

If the category is new to you, our explainer on what an AI employee is covers the definition.

Which one fits your team better?

Choose Relevance AI when the process matters as much as the output: a defined, high-volume pipeline where each step is specified and auditable, and you have people with the time to build and maintain it. Choose Viktor when the work you want gone is varied, cross-tool and changes week to week. A quick test:

1. Write down the three things you most want off your plate this week.
2. Ask whether they are the same shape every week or different each time.
3. If they are different each time, you want an AI employee you can just ask, not a process you have to rebuild.

Here is what handing off a varied task looks like:

One message, three tools and an approval gate. Nobody designed an agent to do it. If that sounds like the work on your list, try Viktor free in Slack with one real task before you rebuild anything.

The best Relevance AI alternatives compared

Prices are starting prices from each vendor’s official pricing page, checked October 2026. “Agent” tools reason and decide steps with an LLM; “workflow” tools run steps you define in a fixed order.

1. Viktor: best if you want the work done, not a platform to build in

Viktor is the only option here that you do not build. He works inside Slack and Microsoft Teams, connects to 9,800+ tools with real read and write access, remembers how your team works, and runs one-off and scheduled jobs. For tools without an API he can work through a browser. Sensitive actions such as customer emails, payments and code pushes wait for your approval in Slack. Pricing is simple: start free with up to $100 in credits, then Team is $100 a month for 40,000 shared credits that roll over (see Viktor pricing). Trade-off: if you need a fixed multi-agent pipeline that runs identically at huge volume, a builder gives you more low-level control. For everything else, you can add Viktor to Slack or Teams for free and hand him the first job today.

2. Lindy: closest no-code alternative

Lindy is the most direct like-for-like replacement for Relevance AI’s agent builder, with a friendlier interface, meetings and phone-call features, and 1,500+ integrations plus MCP. Every active user is billed, from $29.99 a month for 3,000 credits each, and HIPAA with a signed BAA is available on Enterprise. If you are also comparing Lindy, see our Lindy alternatives guide and Viktor vs Lindy.

3. Gumloop: best for marketing and ops automations

Gumloop combines agents with a visual workflow canvas and is popular with growth teams for SEO, ad and lead workflows. Pro starts at $37 a month with unlimited seats and an included monthly credit allowance, plus a 14-day free trial; Enterprise adds VPC deployment, SCIM/SAML and audit logs.

4. n8n: best for technical teams that want self-hosting

n8n is a workflow automation tool with AI agent nodes, MCP support and code steps. The Community Edition is free to self-host, and n8n Cloud Starter is €20 a month billed annually for 2,500 workflow executions with unlimited steps. Because you pay per execution rather than per step, costs stay predictable. Compare it further in n8n alternatives and Viktor vs n8n.

5. Sintra AI: best for solo founders

Sintra AI sells a set of 12 pre-built AI helpers with personas (for example a social media manager, an email marketer and a data analyst) at $39 a month each, or as a bundle. It is fast to start and needs no building, but integrations are limited (15+) and the helpers mostly produce content and advice rather than acting deeply inside your systems.

6. StackAI: best for regulated enterprises

StackAI is an enterprise agent builder with SOC 2, HIPAA and GDPR compliance, SSO, and on-premise or VPC deployment. The free plan includes 500 runs a month for one user; everything else is a custom Enterprise quote.

7. Dify, Flowise and Langflow: best open-source options

All three are visual, open-source builders for LLM apps, RAG pipelines and agents that you can self-host for free. Dify’s cloud Professional plan is $590 per workspace a year; Flowise Cloud starts free (100 predictions a month) with Starter at $35 a month; Langflow is free and open source. You trade subscription cost for hosting, security and upkeep work.

8. CrewAI, LangChain and AutoGen: best code-first frameworks

If your engineers would rather write Python than drag boxes, these frameworks give full control over multi-agent orchestration. CrewAI’s free plan covers one agent, and its Individual plan is $20 a month plus usage. Pick code when the agent is part of your product or needs custom logic; pick no-code or an AI employee when the goal is internal work done quickly.

9. Zapier Agents: best if you already run on Zapier

Zapier Agents add reasoning on top of Zapier’s 8,000+ app connections. Agents Pro is $33.33 a month billed annually and runs agent behaviors up to 1,500 times a month. See Viktor vs Zapier Agents for the trade-offs.

10. MindStudio: best low-cost custom builder

MindStudio lets you build custom agents with no code, with one free agent and an Individual plan at $20 a month plus model usage. It suits individuals and small teams prototyping their own agents.

Also on many shortlists: UiPath Agentic Automation for enterprises with RPA estates, and AI SDR products such as 11x for outbound sales.

Sintra AI vs Relevance AI: which suits a business better?

They target opposite ends of the market. Sintra AI is a low-cost bundle of ready-made helpers for solopreneurs and very small businesses: no building, limited integrations, mostly drafting and advice. Relevance AI is a build-your-own platform for companies with ops or engineering staff who want custom agents connected to their CRM and data. If you run a business of one, Sintra is cheaper and faster. If you need agents that act inside Salesforce, HubSpot or Zendesk at scale, Relevance AI goes much deeper. If you want depth without the building, an AI employee such as Viktor sits between the two.

Should you use an automation builder like n8n or an agent builder like Relevance AI?

Workflow automation tools (n8n, Zapier, Make) run steps you define in a fixed order. They are cheap, predictable and easy to debug, and they shine when the logic is known: “when a form is submitted, add a row and send an email.” Agent builders such as Relevance AI let an LLM decide the steps, which handles messy inputs such as free-text emails or research tasks, at the cost of higher per-run spend and less predictable behaviour. Many teams combine them: n8n for the deterministic plumbing, an agentic AI layer for judgment. Anthropic’s engineering guide Building effective AI agents makes the same point: the most reliable systems are often the simplest, and agentic complexity should earn its keep. Read more in what agentic AI is.

What does the same workflow cost on each platform?

To compare billing models fairly, take one workflow: researching 500 new inbound leads a month, writing a short summary for each and updating the CRM. The figures below are rough estimates built on stated assumptions, using list prices checked October 2026. Test with your own data before you commit.

The pattern: execution-based tools (n8n) are cheapest when the logic is fixed and you have someone technical; credit-based tools charge for the work done, so a complex task costs more than a simple one; and Relevance AI’s two meters mean you need to track both Actions and Vendor Credits.

How do the alternatives compare on security and compliance?

• Viktor: SOC 2, GDPR and CCPA; SAML SSO; US hosting by default with EU data residency on Enterprise contracts; credentials are never shown to the model; your data never trains a model. See Viktor security.
• Relevance AI: SOC 2 Type II and GDPR; data stored in the US, EU (London) or Australia based on the region you pick at signup; SSO, RBAC and audit logs on Enterprise; HIPAA-supporting data retention on Enterprise.
• Lindy: HIPAA with a signed BAA, SSO and SCIM on Enterprise.
• StackAI: SOC 2, HIPAA and GDPR, with on-premise deployment.
• n8n, Dify, Flowise, Langflow, CrewAI: self-host for full data control, which also makes security your responsibility.

How do you migrate your agents and workflows out of Relevance AI?

1. Inventory what you run. List every agent, tool, trigger and workforce, and note which ones run weekly. Most teams find a handful do the real work.
2. Export your data. Relevance AI lets you export data in CSV, Excel or JSON. Download knowledge bases, files and any agent logs you need for reference.
3. Copy prompts and instructions. Save each agent’s system prompt, tool descriptions and escalation rules in a document. They are the most valuable part of what you built.
4. Map tools to the new platform. Check that each integration exists in the destination. With Viktor you connect the same apps with one-click OAuth and describe the job in plain language instead of rebuilding the chain.
5. Run both in parallel for one or two weeks. Compare outputs on real work before you switch off the old agents.
6. Cancel and clean up. Revoke API keys and remove integrations from the old account.

Which AI agent platform should a business or mid-market team choose?

• Startups and founders: start with an AI employee such as Viktor, or Sintra AI if you work solo and mostly need content. You get output in the first hour without a build project.
• Mid-market teams (roughly 50 to 1,000 people): weigh who will maintain it. Without dedicated automation staff, Viktor in Slack or Teams avoids a backlog of broken agents; with an ops engineer, Lindy, Gumloop or Relevance AI are viable for custom agents, and n8n covers deterministic workflows.
• Enterprises: shortlist on security first (SOC 2, SSO, data residency, approvals), then on fit: Viktor for company-wide delegation in Slack or Teams, StackAI for regulated industries, and UiPath Agentic Automation for RPA-heavy shops.
• Building custom agents for your product: use CrewAI, LangChain or an open-source builder.

Is an AI agent platform worth using? Yes, when it removes recurring work your team actually does. The fastest way to find out is a one-week pilot on three real tasks. You can start Viktor free with up to $100 in credits, no credit card required.

Frequently asked questions

What can I use instead of Relevance AI?

Viktor is the best fit if you want to delegate work in Slack or Microsoft Teams without building agents. For a no-code builder, try Lindy or Gumloop; for self-hosting, n8n, Dify, Flowise or Langflow; for code-first teams, CrewAI or LangChain; and for a low-cost solo option, Sintra AI or MindStudio.

Is Relevance AI free to use?

Relevance AI retired its Free plan for new signups and existing accounts. Paid plans start with Pro at $19 a month billed annually or $29 monthly (checked October 2026).

What are the best free alternatives to Relevance AI?

Viktor lets you start free with up to $100 in credits. n8n’s Community Edition, Dify, Flowise and Langflow are free to self-host, and StackAI, CrewAI and MindStudio have free tiers with limits.

Which Relevance AI alternatives can I self-host?

n8n, Dify, Flowise, Langflow, CrewAI, LangChain and AutoGen can all be self-hosted. StackAI offers on-premise deployment on Enterprise, and Gumloop offers a virtual private cloud.

What are the top agentic AI tools right now?

For business teams: Viktor (an AI employee rather than a builder), then Lindy, Relevance AI, Gumloop, Zapier Agents and Microsoft Copilot Studio. For developers: CrewAI, LangChain and AutoGen. For enterprises with RPA: UiPath Agentic Automation.

Viktor or Relevance AI: which fits a team better?

Viktor fits teams that want to hand off varied, cross-tool work in Slack or Teams with nothing to build. Relevance AI fits teams with the time and skills to design and maintain a fixed multi-agent process.

Does Viktor connect to the same tools?

Yes. Viktor connects to 9,800+ tools with real read and write access, including Salesforce, HubSpot, Stripe, Linear, Notion, Zendesk and Google Ads, so he can both pull data and take action across them.