AI Customer Support Chat Agent
Your customers get real answers 24/7, pulled from your own docs and policies, so most queries get resolved without ever reaching your team. Built on LangGraph, the same framework leading AI teams use for controllable, production-grade agents, it knows when it doesn't have the answer and hands off to a real human instead of guessing.
Support assistant Grounded
A support layer that pays for itself.
80% Customers served automatically
Most routine questions get resolved by the agent directly, so your team only sees the conversations that actually need a human.
24/7 Customer Support
Customers get accurate replies day or night, weekends and holidays included, without adding headcount.
Never fully unsupervised
Anything sensitive or uncertain gets handed to a real person instead of guessed at, so nothing risky runs on autopilot.
Built on a controllable framework
The same technology leading AI teams use for production grade agents, not a drag and drop bot that breaks under real questions.
Not just a chat window
Linked to your CRM, order system, and other tools, so it can actually look things up and get things done, not just talk.
Meets customers where they are
One assistant deployed across your website and WhatsApp, so customers get the same grounded answers wherever they reach out.
It routes, calls tools, and knows when to ask a human.
Every message is classified and routed to the right action. Simple questions get answered from your knowledge base. Order lookups call your systems. And anything sensitive, a large refund, an edge case, an unhappy customer, pauses for human approval or escalates automatically.
More than a FAQ box. It takes action.
Answers from your content
Trained on your real docs and policies, so replies match what your team would actually say. No generic filler.
Cites every source
Each answer links back to the document it came from, so customers and staff can verify it in one click.
Won't make things up
If the answer isn't in your knowledge base, it says so plainly instead of guessing. That's the single most important safety behavior.
Calls your tools
Look up an order, check availability, create a ticket, trigger a workflow. The bot does the task, not just the talking.
Human hand-off
Unclear questions, upset customers, and sensitive actions route to a person automatically, with the full conversation attached.
Multilingual & always on
Answers in your customers' language, 24/7, across every channel, nights, weekends, and holidays included.
How I actually build these systems.
Two cooperating layers: a retrieval service that grounds answers in your data, and an agent that classifies, routes, and calls tools, with a human in the loop for anything sensitive. Model-agnostic, so I use the right LLM for the job.
The same engine, tuned to your industry.
Order status, returns, sizing, and stock, answered from your policies and connected to your store.
Intake questions, hours, and prep instructions handled from approved docs, with anything clinical routed to staff.
Instant lead response and qualification, pulling details straight from your current listings and CRM.
Scoping, pricing tiers, and process questions answered consistently, so every lead gets the right story.
Booking, amenities, and policy questions across web and WhatsApp, freeing the front desk for guests.
Product and troubleshooting answers grounded in your help docs, with tickets created for the hard cases.
Chatbot questions, answered
The core questions businesses ask before deploying a chatbot grounded in their own knowledge.
Generic models answer from what they were trained on and will confidently guess about your business. Mine retrieves answers from your own documents first, cites the source, and refuses to answer when the information isn't there, so it can't invent policies or prices you never set.
No. It takes the repetitive questions off their plate, order status, FAQs, policy lookups, so your team only handles the conversations that actually need a person. Most businesses run it alongside their team, not instead of one.
Every model can technically get something wrong. The difference is what happens next. Mine checks its answer against your own documents before it replies, and if it isn't confident, it says so and hands off instead of guessing. That check is the whole point of building it this way, not an afterthought bolted on.
Whatever knowledge you already have, in almost any form: help docs, SOPs, policy PDFs, a product catalog, a spreadsheet of FAQs, even old support tickets. I handle turning that into a searchable knowledge base. You don't need anything technical on your end.
Send me the updated document, or edit it in the source I connect to. Re-indexing takes minutes, and the bot answers from the new content right away. No retraining, no code changes for you.
It says so instead of guessing, and hands the conversation to a human with the full context attached. You decide exactly when it escalates and to whom.
A website widget, WhatsApp, email triage, and inside the tools you already use. It can also take action: look up an order, create a ticket, trigger a workflow, not just answer a question.
Most chatbots go live in 1 to 3 weeks, depending on how much knowledge I'm ingesting and how many integrations you need. I test it against real questions before it ever reaches a customer.
See what a grounded chatbot could do for your business
Book a free audit. I'll look at your docs and support volume and show you exactly what to automate first.
Loading calendar...