Custom AI Chatbot Development Services
A chatbot is only worth deploying if it knows things a visitor cannot find themselves. That means grounding it in your documentation and connecting it to the systems that hold the answer — not wrapping a general-purpose model in your brand colours.
Discuss your projectGrounded answers, not improvisation
The chatbots that embarrass companies have one thing in common: the model was asked a question, had no relevant information, and answered anyway. It invented a refund policy, or a price, or a product capability, and said it with complete confidence.
We build the opposite behaviour. The bot retrieves from your own content before it answers, constructs its reply only from what it found, and shows where each claim came from. When retrieval turns up nothing relevant, it says so and offers a route to a person. A bot that admits ignorance is more useful than one that is occasionally confidently wrong, and far less expensive to have deployed.
There is a live example on this page — the widget in the corner is one of ours. It is the most honest thing we can show you about how a conversation handles the edge of its own knowledge, so ask it something it should not know.
What we build
Retrieval over your content
Your help documentation, product pages, policies, and past resolved tickets, indexed and kept in sync. Answers cite the page they came from so a visitor can verify them.
Connections to live systems
The difference between a bot that reads documentation and one that is actually useful. Order status, account balance, booking availability, delivery date — fetched at the moment of asking, read-only unless you decide otherwise.
Lead capture that is not a form
Qualifying questions asked conversationally, with the answers written into your CRM as a structured record rather than a transcript somebody has to read.
Handoff to a human
With the conversation, the context, and the reason for escalation passed across. Covered in detail on our human handoff page.
Multi-channel deployment
The same bot on your website, in your app, and on WhatsApp, Slack, or Teams, with one set of content behind it rather than three that drift apart.
Guardrails
Topics it will not discuss, claims it will not make, and categories — medical, legal, financial advice, cancellations, complaints — that escalate immediately by rule.
Where a chatbot earns its place
And, as usefully, where it does not. We would rather scope a narrow bot that works than a broad one you end up switching off.
- High volumes of repeated questions with documented answers — shipping, returns, hours, specifications, how-to.
- Status questions a visitor could self-serve if the information were reachable in fewer than four clicks.
- Out-of-hours cover, where the realistic alternative is a contact form and a reply tomorrow.
- Pre-sales qualification, where the bot gathers enough to route the enquiry to the right person.
- Internal use, where staff ask questions of your own policies and procedures.
- Poor fits, stated plainly: complex complaints, anything with a legal or medical consequence, high-value negotiation, and distressed customers. These should reach a person quickly, and we build them to do exactly that.
How a build runs
- 01
Decide the scope of its knowledge
What it should answer, what it must escalate, and what it must never claim. This document is short, and it is the thing that determines whether the bot is an asset.
- 02
Index your content
Documentation and resolved tickets, chunked so passages keep their meaning, with a sync so answers follow your content when it changes.
- 03
Connect the systems
The read-only lookups that make it specific to the person asking rather than generic.
- 04
Test against your real questions
We run it against your actual inbound history, including the awkward ones, and review the transcripts with you before anything is public. The questions that matter are the ones your customers already ask.
- 05
Launch narrow, widen on evidence
Often on one page or one segment first, with every conversation reviewed. Scope widens where the transcripts show it is handling things well, not on a schedule.
Common questions
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Tell us what you need
Describe the problem and we will come back with scope, timeline, and a rate. No obligation to proceed.
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