AI Chatbots
AI That Actually Knows Your Business
Generic chatbots give generic answers. We build AI assistants that know your products, policies, and customers — and respond like they do.
Problems we solve
- Support teams buried in repetitive questions that are already answered in your docs
- Leads landing on your site at 11pm with questions that don't get answered until morning
- Onboarding new employees who need access to institutional knowledge scattered across docs and wikis
- Sales qualification bottlenecks where reps spend time on leads that aren't ready
- Customer service costs scaling with headcount instead of with automation
What's included
- AI assistant trained on your content — answers grounded in what you've published
- Content ingestion from your docs, FAQs, policies, and knowledge base
- Web embed or API integration for your site or existing app
- Human escalation logic — graceful handoff when the bot can't help
- Analytics: top questions, resolution rate, escalation frequency
- Admin panel for content management and conversation monitoring
Ideal for
- Businesses with large documentation libraries or product catalogs
- SaaS companies whose support volume has outpaced their team size
- E-commerce and service businesses wanting 24/7 lead qualification
- Internal teams that need faster access to company knowledge
What we can build
Support assistants answer questions from your documentation — reducing ticket volume and response time without adding headcount. They know when they don’t know and escalate cleanly.
Lead qualification bots gather information before routing to a human — what the prospect needs, their timeline, budget signals. Your sales team gets a warm lead with context instead of a cold form submission.
Internal knowledge assistants help your team find answers across wikis, runbooks, and SOPs without searching through folders. Reduces onboarding time and the constant interruptions of “where is the thing for X.”
How it works
When a user asks a question, the system finds the most relevant content from your documentation and uses it to generate a grounded, accurate response — not a generic AI guess.
The key advantage: when your content changes, the assistant updates immediately. No retraining, no waiting. Update your docs and the bot reflects it.
We work with the major AI providers — OpenAI, Anthropic, and self-hosted options for data-sensitive cases — and choose based on your requirements.
What we won’t promise
An AI assistant won’t replace your support team. We’re honest about where it works well (answering documented questions at scale) and where it doesn’t (complex situations, nuanced sales conversations, anything requiring genuine judgment).
We’ll tell you which use cases are a real fit and which aren’t worth the build cost.
Featured example
A real project showing how we approach an AI-powered product — from concept through deployment.
FAQ
Common questions
Does the chatbot need to be trained on my data?
Not in the traditional sense. We use retrieval-augmented generation (RAG) — the bot searches your content at query time rather than being retrained. Updates to your content are reflected immediately.
What kinds of AI chatbots do you build?
We build retrieval-augmented chatbots that answer questions from your own content, lead-qualification bots that collect information before handing off to a human, support bots that reduce ticket volume, and internal assistants.
Which AI models do you use?
Primarily OpenAI (GPT-4o), Anthropic (Claude), and sometimes local open models for cost-sensitive use cases. We pick the model that fits your accuracy, cost, and privacy requirements.
Thinking about an AI assistant for your business?
Tell us about your use case. We'll be straight about whether it's a good fit.