Applied AI · Conversational AI
A chatbot that invents answers is worse than none. We build conversational assistants grounded in your actual content, such as benefits, documentation, policies and product data, using retrieval so every answer traces back to your material. Embedded in your site, so it feels built in rather than bolted on.
Talk through an assistantHow it works
The technique is retrieval-augmented generation, or RAG if you’ve heard the term. In plain language: before the assistant answers, it looks up the relevant material in your own documents and answers from that, instead of from whatever a model happened to absorb in training. That’s the difference between an assistant that’s useful and one that confidently makes things up.
We’ve been building conversational systems since the Dialogflow era, well before the current wave, so we know where these break and how to keep them reliable.
Proof
Employees have questions about their medical, retirement and other benefits. The answers are on their employer’s benefits site and in the plan documents, and people rarely find them.
Through our agency partners, we’ve deployed dozens of AI benefits assistants for employers, including a Fortune 100 pharmaceutical company. Each one answers from that employer’s own content, in the employer’s own terms, and links to its sources. Employees get an answer in seconds instead of digging for it.
We also build the retrieval ourselves when a product calls for it. The AI sommelier in VinoSeeker answers from the app’s own wine data.
Honest framing
A grounded assistant is the right tool when people need answers out of a pile of content. It’s the wrong tool when a simple search box or a well-organized page would do.
It’s also the wrong tool when the real need is for AI to take actions in your systems rather than answer questions. That’s closer to our MCP integration work. We’ll point you to whichever actually fits.
Related work
Applied AI
Employers, including a Fortune 100 pharmaceutical company and a fire-protection services company
AI assistants that answer employees' benefits questions from their employer's own benefits content, by chat or by voice. We've deployed dozens.
Web Applications
VinoSeeker
A wine discovery app for drinkers and wineries, with tiered Stripe subscriptions, an AI sommelier grounded in its own wine data, and label scanning from a phone camera. It runs on the same AWS stack we build for clients.
Related services
AI woven into your business where it earns its place: image identification and review, workflow automation, assistants that answer from your own content, and connections that let AI work with your systems. Practical, not trendy.
Connect AI safely to the systems your business runs on, using the Model Context Protocol, with access scoped to exactly what it should touch.
Identify and review images, automate manual steps, and drive form and response logic with AI that makes decisions ordinary software can’t.
Let’s work together
Tell us what people need answers to. We’ll tell you whether a grounded assistant is the right call.
