Chatbots that actually answer the question
Most chatbots are a deflection layer. They read the FAQ back to you and send you to a human anyway. We build the other kind — assistants trained on your real documentation that give a useful answer the first time.
What we build
Customer support assistants
Trained on your help docs, product specs, and historical tickets. Resolves the repetitive 80%, escalates the rest with full context attached.
Internal knowledge assistants
Your team stops asking the same questions in Slack. The bot knows your processes, your product, your policies — and answers in seconds.
Sales and pre-sales assistants
Qualifies leads, answers product questions, and books meetings. Plugged into your CRM so nothing falls through the cracks.
Document Q&A bots
Drop a contract, RFP, or compliance doc in. Get accurate, sourced answers — without an associate reading 80 pages.
How we keep them useful
- Trained on your data — Not a generic model pretending to know your business.
- Cited answers — Every answer links back to the source so users (and you) can verify.
- Honest escalation — When the bot doesn't know, it says so and routes to a human with context.
- Continuous tuning — We watch where it fails and improve it. AI assistants need ongoing care, not "set and forget".
A real example
An operations team was handling thousands of repetitive support queries a month. We built an assistant trained on their internal documentation that resolves queries directly and escalates only the genuinely complex ones.
85% of queries resolved without a human. Response time went from hours to seconds.
Intelli