Fluid AI
AI agents that execute, not just respond
What is Fluid AI
Fluid AI deploys autonomous AI agents that complete multi-step workflows across enterprise systems — SAP, Oracle, Salesforce, core banking platforms, and mainframes — rather than simply answering questions. It's built for RevOps teams and GTM engineers at mid-market and enterprise organizations operating in regulated industries where auditability and on-premise deployment are non-negotiable. The standout capability is full auditability for every agent action, paired with deterministic decision-making, which makes it viable in compliance-heavy environments like banking and insurance where most AI tools can't pass procurement. The no-code workflow builder lowers the barrier for non-engineers to configure agents across channels. That said, the platform is clearly sized for enterprise deals — smaller teams or those without dedicated implementation resources will likely find the setup overhead and opaque pricing a poor fit.
Key features
wire tools together and run multi-step jobs
first-party connectors, no middleware required
autonomous multi-step actions
Vanderbuild take
For RevOps and GTM engineers at enterprise scale, Fluid AI sits in a specific lane: workflow automation where the agent has to touch regulated systems, leave an audit trail, and still talk to a customer over WhatsApp — that's a narrow but real problem set, and few tools address it directly. On the agentic readiness front, an API exists but readiness is rated Limited, meaning you'll likely hit enterprise gating or integration friction before you can cleanly orchestrate Fluid AI as a node inside a broader agentic stack — MCP compatibility is unconfirmed, so don't plan around it. Pricing is entirely opaque — no public tiers, no signals — which almost certainly means enterprise procurement cycles and custom contracts, so budget time, not just money. The honest limitation is scope: if your workflows don't touch banking, ERP, or heavily regulated systems, you're paying for compliance infrastructure you don't need, and lighter workflow tools will get you there faster.
Agentic stack profile
APIRESTProgrammatic access available.
REST API — straightforward to call from any agent or workflow tool. Rate limits and auth vary by plan.
Agentic readinessLimitedUsable but with caveats — rate limits, brittle endpoints.
API exists but is rate-limited, brittle, undocumented, or hidden behind enterprise plans. Use with caution in production agent workflows.
Stack roleOrchestratorWhere this tool slots into an agentic pipeline.
Plays the role of Orchestrator in an agentic pipeline. Use it to tie multiple tools and AI calls together in one workflow.
Fluid AI alternatives
Tools that solve a similar problem — compared at a glance.
- Best for
- RevOps, GTM Engineer
- Readiness
- Limited
- API
- REST
- Pricing
- Freemium
- Budget
- $
- Best for
- Founder, GTM Engineer
- Readiness
- Native
- MCP
- Yes
- API
- REST
- Pricing
- Freemium
- Budget
- $
- Best for
- GTM Engineer, Founder
- Readiness
- Native
- MCP
- Yes
- API
- REST
Frequently asked questions
Does Fluid AI have a public API?
Yes — Fluid AI ships a REST API. Note the API is rate-limited or enterprise-gated, so plan integrations accordingly.
Who is Fluid AI best for?
Fluid AI is built for RevOps, GTM Engineer. Fits Mid-market (50-500), Enterprise-sized teams.
How well does Fluid AI fit an agentic sales stack?
Tier: Limited. An API exists but it's rate-limited, brittle, or enterprise-gated. Plan integrations carefully.