Customer Support
Customer Support Agent
Let customers describe a problem in plain English — and have it genuinely resolved in seconds. No FAQ dead-ends, no repeating themselves. It uses real account data and hands off to a human only when it should.
- Live in days
- Your data stays yours
- Answers in seconds
The problem
Support deflection isn't resolution
FAQ bots point customers at articles; they don't fix anything. So tickets pile up, wait times grow, and your team burns its day on the same repetitive issues over and over.
Building an agent that actually resolves issues — with real account data and a clean human handover — usually means a six-figure build and months of engineering. Most teams stall before they start.
The fix
An agent that resolves, then escalates
A Support Agent connects to your helpdesk and knowledge base through MCP. It uses real account data to resolve issues end to end — and hands off to a human with full context when it should.
You set the boundaries once in SentientOne. It runs 24/7, keeps conversation history, and your customer data never leaves your environment.
Out of the box
Real questions, real answers. However your customers phrase it.
The agent understands natural language and acts on live account data — so it resolves the issue instead of linking to an article.
“I can't log into my account.”
Checks the account and sends a reset, end to end.
“Where's my refund?”
Looks up the case and gives a real status, not an article.
“How do I change my plan?”
Walks them through it using their live account data.
“My order arrived damaged.”
Logs it, offers a fix, and escalates with full context.
“Can you cancel my subscription?”
Handles it within the boundaries you set.
“I need to speak to someone.”
Hands off to a human with the whole conversation attached.
How it works
Four steps in the dashboard. The last one is a POST.
Create the agent
Add an agent, choose a model — GPT-4o, Claude, Gemini — and write a short system prompt that says what its job is. Five fields, no code.
Name
Provider
Model
Temperature
System Prompt
Connect your Helpdesk API
On the agent's MCP tab, register your Helpdesk API as an MCP server. SentientOne discovers the resolve_ticket tool on its own, and your credentials never leave your environment.
Name
Transport
URL
Auth Type
Test it in the Playground
Ask the questions your users actually ask. The agent calls your API, reads the live response and answers in plain language. Adjust the prompt until it reads the way you want.
Go live with one request
Copy your API key and POST from your app. There is no SDK to install — anything that can make an HTTP request is already supported.
Platform API key
API endpoint
POST /v1/chat
X-Api-Key: sk-live-•••
X-Agent-Id: customer-support-automation
{ "message": "I can't log into my account." }Why SentientOne
Why teams ship this with us. Instead of building it.
Ship it without an AI team
No ML hires, no prompt infrastructure, no model plumbing. You configure the agent in the dashboard — and we'll set up the MCP server that wraps your Helpdesk API at no extra cost.
Your data stays in your estate
The MCP server runs on your infrastructure. SentientOne receives the tool response and nothing else — not your database, not your credentials, not your records. Self-host the whole platform if that's the requirement.
Works with the stack you have
Any REST or gRPC API connects through MCP. One HTTP endpoint covers React, Flutter, Python, .NET and Go — anything that can make a request. No SDK to adopt.
Change the model, not your code
Run GPT-4o today and Claude tomorrow by changing a dropdown. When your API changes you update one tool definition — no retraining, no redeploy.
“It doesn't deflect — it resolves. Customers get their issue fixed in seconds, and the tickets that do reach us arrive with a full summary. Our queue has never been shorter.”
The outcome
What changes once it’s live.
- 60–70%
- of repetitive tickets resolved automatically
- Days
- to deploy — no AI engineers required
- Private
- your customer data stays in your environment
How long does it take to go live?
Most teams are answering real questions within days. There is no model to train and no AI pipeline to build — you connect your API and configure the agent.
Do we need AI engineers?
No. The agent is configured in the dashboard, and we'll set up the MCP server that wraps your Helpdesk API at no extra cost.
Is our data safe?
The MCP server runs in your environment and returns only the specific tool response. Your database, your credentials and your raw records never reach SentientOne.
What happens with questions it can't answer?
You set the boundaries. Anything outside the issues you allow is handed to your team with the whole conversation attached, so nobody starts from scratch.
Which models can we use?
GPT-4o, Claude, Gemini, Llama, Mistral and Groq. Pick one from a dropdown and change it whenever you like — your prompts, tools and integration stay exactly as they are.
How does it reach our users?
One HTTP endpoint. Drop it into the chat widget, app or site you already run — React, Flutter, Python, .NET, Go, anything that makes a request.
Free white papers
Read the longer version.
Improve Your Customer Support with AI Agents
Support queues grow faster than headcount, and every minute a customer waits chips away at trust. Most teams paper over the gap with canned macros and after-hours auto-replies that never actually resolve the issue. This guide shows how AI agents handle the repetitive tickets end to end, escalate the ones that need a human with full context, and give your team back the hours they spend on copy-paste answers.
Improve Your Knowledge Base with AI Agents & RAG
Your team's knowledge is scattered across docs, wikis, and tickets — and answers stay locked away until someone goes digging. This guide shows how Retrieval-Augmented Generation turns that knowledge base into an AI agent that answers in plain language, cites its sources, and stays current, so your team finds what they need in seconds instead of hours.
More patterns
Other agents teams start with.
Order Status Agent via MCP
Let customers ask about their orders in plain English.
Business Intelligence Reporting Agent
Turn your database into a conversation.
Personalised Recommendations Agent
Send insights in, get smart recommendations out.
Product Discovery & Catalogue Agent
Let users search your catalogue by describing what they want.
Get started
Build this one first. We’ll wire up the MCP server.
Bring the API you already run. Start the trial and configure the agent yourself, or walk through it with the team that built the platform.
14 days free · No credit card · Bring your own model keys