Conversational AI that ships inside your product.

Most chatbots are decision trees with a typing animation. We build conversational AI that uses your product's data, follows your business logic, and knows when to hand off to a human.

Why our chatbots ship in production.

50%+
Self-resolution rate
<2s
Median latency
100%
Auditable actions
24/7
Always responding
What good conversational AI actually does

Most chatbots fail. Here's why.

A chatbot only earns its place if it can do three things. Most products that ship a "chatbot" ship one of two things: a decision tree dressed up as AI, or a raw LLM hooked up to a chat box. Both fail the same way. The user asks something real and gets back something useless.

A chatbot worth shipping does three jobs at once. Grounding pulls the answer from your actual product data, like order status, plan terms, or the user's account, not from a hallucination. Action does the thing the user asked for. It cancels the booking, refunds the charge, opens the ticket, instead of redirecting them to a form. Escalation hands off to a human the moment the question is out of scope, with the conversation context already attached.

Where it ships

Where conversational AI earns its keep.

Anywhere your customers ask the same questions over and over, and the answer is something your systems already know.

For in-product help.

Users ask "how do I change my plan" inside your app. The bot pulls their account, their plan, their permissions — and either does it for them or walks them through. No support ticket needed.

For e-commerce.

Sizes, returns, order status, lost packages. The bot reads your order data, returns policy, and inventory, then resolves what 80% of customers actually message about. Without a queue.

For banking and fintech.

Balance, recent transactions, dispute filing, card lock. Authenticated, audited, scoped to what compliance allows. Customers stop calling for what they can self-serve.

For patient portals.

Appointment changes, prescription refills, intake forms. The bot reads the patient's chart, scheduling system, and care protocols. Reception handles the calls that actually need a human.

For travel and booking.

Change a flight, cancel a stay, request a refund. The bot follows your fare rules, refund policy, and inventory state. No hold queue for what your policy already allows.

For internal teams.

PTO requests, expense queries, IT password resets. The bot reads your handbook, benefits docs, and IT runbook. Employees stop filing tickets for the obvious.

How we build and scale.

Every chatbot we ship goes through four stages. Each one has eval gates before we move forward.

1

Discovery & flow design.

We map the real user requests, the systems the bot needs to touch, the tools it can call, and where humans should still be in the loop.

2

Knowledge & tools wiring.

We connect your product data, your APIs, and your business logic. Each tool is scoped, audited, and rate-limited from day one.

3

Build, eval, harden.

We build the agent, evaluate against real conversation traces, and add guardrails for scope, refusals, and low-confidence responses.

4

Production launch & continuous tuning.

We ship behind a feature flag, monitor real conversations, and tune on what actually breaks. Eval runs continuously, not just at launch.

Ready to see a chatbot grounded in your product?

Book a free 30-min call. We'll map your actual user flows, the tools the bot needs to touch, and what your eval harness should look like. No pitch. Just the plan.

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No long contracts · Live in 21 days · Free 30-min call