01
Your current bot frustrates more than it helps
Decision-tree bots from 2019 trap users in loops. LLM-based chatbots understand the question — and your content.
AI chatbot development
AI chatbot developmentgrounded in your data.
A chatbot that guesses is a liability. We build custom AI chatbots grounded in your docs, products, and policies — so they answer accurately, admit what they don't know, and hand off to humans cleanly. For support, sales, and internal teams, on your website and in the channels you already use.
When this is
the right move.
02
Support volume grows faster than the team
Most tickets are answered somewhere in your docs. A grounded chatbot resolves those instantly, around the clock, in any language.
03
Leads go cold outside business hours
A sales-aware chatbot qualifies visitors, answers product questions, and books the meeting while your team sleeps.
04
You're worried about hallucinations
So are we. That's why we ground every answer in your sources, test against real conversations, and design refusal and escalation paths.
What you walk away with.
Concrete deliverables — not a deck and a goodbye.
Deliverable · 01
Custom AI chatbot
Grounded in your documentation, catalog, and policies — with your tone, your boundaries, your brand.
Deliverable · 02
Channel deployment
Website widget, WhatsApp, Slack, Intercom, Zendesk — deployed where your customers and team already are.
Deliverable · 03
Eval suite & conversation testing
Automated tests against real conversation scenarios, measuring accuracy, safety, and escalation behavior.
Deliverable · 04
Analytics & handoff
Resolution rates, topic breakdowns, and escalation logs — plus full source code and documentation at handoff.
How we work, end-to-end.
A four-step path from the first honest audit to embedded.
- Step i 01
Audit
Two weeks inside your operation. Workflows mapped, leverage points identified, an honest read of what's worth automating.
- Step ii 02
Roadmap
A sequenced plan: what to build, in what order, with what guardrails. Tied to outcomes you can measure.
- Step iii 03
Build
We embed and ship. Real agents, real evaluations, real deployments. Code your team owns at the end.
- Step iv 04
Embed
Hand-off, training, and a 90-day support window. Your team runs the system; we stay reachable.
Common questions.
What's included in your AI chatbot development services?
Everything from scoping to production: grounding the bot in your content, designing the conversation and escalation flows, integrating with your helpdesk or CRM, deploying to your channels, and an evaluation suite that proves accuracy before launch. Plus analytics so you can see resolution rates and gaps.
How do you stop the chatbot from making things up?
Three layers: retrieval grounding (the bot answers from your documents, not memory), refusal design (it says 'I don't know' and escalates instead of guessing), and automated testing against real conversations before and after launch. Hallucination is an engineering problem with engineering answers.
Custom chatbot vs an off-the-shelf chatbot product?
Off-the-shelf works when your needs are generic. Custom wins when the bot needs your business logic — checking order status, applying your refund policy, qualifying leads against your ICP, escalating by account tier. You also own the code, so there's no per-resolution pricing scaling against you.
Which channels can the chatbot run on?
Your website, WhatsApp, Slack, Microsoft Teams, Intercom, Zendesk, and most platforms with an API. One bot, one knowledge base, deployed everywhere your customers ask questions.
How long does it take to build?
A grounded support or sales chatbot typically ships in 4–8 weeks including integration and testing. Internal knowledge bots are often faster. Timelines firm up after a short scoping call.
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Not sure if this is
the right starting point?
A 30-minute call. Bring the workflow that's hurting most. We'll tell you, honestly, whether this is the right lever — and where we'd start.