AI Solutions

Use AI where it actually creates business value, not simply because AI is fashionable.

Not every repetitive task needs an AI agent. We identify where AI can remove meaningful work, improve response time, or create a better customer experience, and where it can't, we say so. Where it does make sense, we build AI website assistants, receptionists, lead-qualification agents, and knowledge assistants grounded in your actual information, with uncertain or high-value cases escalated to a human rather than guessed.

Who it's for

  • A business getting the same questions repeatedly, with no one available to answer after hours
  • A business that wants first-pass lead qualification without losing the human follow-up
  • Anyone who wants AI recommended honestly, including being told when it isn't the right fit

What's included

  • AI website assistants and AI receptionists
  • AI customer-support and lead-qualification agents
  • AI knowledge assistants (RAG / knowledge-base systems)
  • Custom AI agents for specific workflows
  • AI integrations with existing tools and channels
  • AI strategy and consulting: what's worth building, and what isn't

How it works

  1. 01
    Scope the problemWe identify the specific, repetitive, well-defined task an AI system could own.
  2. 02
    Design boundariesWhat the assistant can decide, what it must escalate, and what it's grounded in are defined up front.
  3. 03
    Build & ground itBuilt against your real information, with citations/traceability where it matters.
  4. 04
    Launch & tuneMonitored closely after launch and tuned against real conversations.

Stack

LangChainLangGraphOpenAI / Anthropic APIspgvector
Related case study
AI Receptionist — Demo
A working demo of an AI website assistant scoped for a clinic-style business: answers common questions from real business info and hands off to a human for anything it isn't confident about.

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