Permut
Permut · Marketing
Permut is an AI customer experience platform for building agents that resolve real support conversations across web, WhatsApp, Instagram and email, then turn every chat into structured insight.
About Permut
What Is Permut
Permut is a platform for companies that handle a lot of inbound customer conversations. Instead of scripting fixed decision trees, you describe what an agent should do in plain language, connect it to your existing tools, and let it carry a request through to resolution.
The pitch is an operating system, not a chatbot. Agents watch for events or webhooks, check conditions, and fire off actions in the systems you already run. A customer asks where an order is, and the agent can look it up and answer without a human stepping in.
The biggest limitation is scope. Permut targets businesses with real support volume, and its pricing starts well above what a solo operator or a small side project would pay. It also asks you to trust an agent with live customer data, so the guardrails and audit features matter as much as the automation itself.
Getting Started
- Create an account on the Permut website and pick a plan that matches your monthly conversation volume.
- Write your agent's brand voice, goals and behavioral rules in natural language.
- Connect the channels you use, such as web chat, WhatsApp, Instagram or email, plus any tools the agent needs through webhooks or MCP.
- Define triggers, conditions and actions so the agent knows when to start and what to do.
- Review live conversations, tighten the guardrails, and check the insights dashboard for friction points.
Product Information
A quick look at Permut's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Support teams handling hundreds of inbound chats a month
- Ecommerce retailers on WhatsApp and Instagram
- CX managers who need visibility
Tasks
- Order and delivery questions
- Turning chats into insight
- Cross-channel follow-ups
Scenarios
- A retailer with a growing support queue and no budget for a large human team
- A company that already runs agents but wants more control
- Seasonal spikes in customer contact
Key features
Natural language agent setup
You configure an agent by writing its personality, goals and rules in plain language. There are no rigid decision trees to drag around, and a non-engineer can build a working agent in minutes. Business rules and real workflows sit on top of those instructions.
Workflow execution across your stack
Agents do more than answer. They run triggers, evaluate logic, and fire actions in connected systems through webhooks and MCP. That means a single conversation can carry a request all the way to resolution instead of handing off midway.
Multi-channel deployment
The same agent runs on web, app, WhatsApp, Instagram and email, connected to the stack you already use. Consistency matters here: a customer gets the same answer no matter which channel they pick.
Guardrails and oversight
You set rules like staying on brand, prioritizing resolution and protecting customer data. The platform monitors conversations and lets you adjust behavior over time, so control does not disappear once an agent goes live.
Structured insights from every chat
Each interaction is captured and turned into structured data about customer intent, friction points and revenue opportunities. Teams get a running read on what customers actually ask and where the experience breaks down.
Version control and multi-account support
The higher plans add version control and multi-account management, which helps teams test changes safely and run separate agent setups for different brands or regions.
Pros and cons
Pros
- Agents resolve complete workflows rather than escalating every issue, which cuts the volume of routine tickets.
- Runs on the channels customers already use, including WhatsApp and Instagram, without a separate build per channel.
- Natural language setup lowers the barrier for non-engineers to build and adjust agents.
- Built-in guardrails, monitoring and version control give teams room to experiment without losing control.
- Every conversation becomes structured insight, so support data feeds back into product and marketing decisions.
Cons
- Pricing starts at €310 per month on a yearly plan, which rules it out for solo operators and very small projects.
- There is no free plan, so teams cannot test the platform at length without paying.
- API availability is not publicly documented, which makes deeper custom integration harder to plan.
- The value depends on conversation volume, so low-traffic businesses may never hit the usage their plan covers.
Frequently asked questions
Permut lets you build AI agents that handle customer conversations end to end. They answer questions, run workflows in your connected systems, and turn each chat into structured insight about customer intent and friction.
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