FIG 1.3 · AI CHATBOT DEVELOPMENT
Production chatbots grounded in your data.
Customer-facing or internal chatbots with streaming responses, tool use, human handoff, and analytics dashboards.
WHAT IT IS
A chatbot is a conversational interface to your systems. We build ones that actually ship: grounded in your data, able to take actions, and observable enough to fix when they go wrong.
Typical integrations include Slack, Microsoft Teams, WhatsApp, Intercom, and embedded widgets in your own product. The intelligence layer is plug-and-play across OpenAI, Anthropic, and open-source models.
Every chatbot ships with an admin console for your team — conversation logs, escalation queues, feedback loops, and simple prompt tuning without a code deploy.
WHEN TO USE IT
Customer support deflection
Level-1 questions consume hours of support time. A grounded chatbot solves 40–70% automatically.
Sales assistance
Pre-sales questions, pricing, demo booking — conversational flow converts better than static pages.
Internal knowledge access
Engineers, finance, HR teams all benefit from a single chat surface to query policy docs and runbooks.
Operational workflows
Chatbot with tools: create tickets, query orders, trigger jobs. Ops work without leaving Slack.
OUR APPROACH
- 01
Intent mapping
We map what users actually ask (from your logs and transcripts) to the intents the bot needs to handle.
- 02
Tool and knowledge design
Which tools does the bot call? Which data does it search? Designed before a line of code.
- 03
Build and integrate
Streaming UI, auth, analytics, handoff to humans. Connected to Slack, Teams, or a widget.
- 04
Iterate on real traffic
Bi-weekly review of conversation logs. Prompt and tool refinements shipped without downtime.
TECH STACK
FAQ
About ai chatbot development.
Start with a scoping call.
Thirty minutes. No pitch. We audit what you’re building, tell you what we’d do differently, and let you decide.