Conversational AI where the handoff works
The hard part of conversational AI is not the conversation. It is what happens when the agent cannot help: how quickly it escalates, and whether the human who picks up already knows what was said.
No sales script. You talk to the engineers who'd build it.
Our team works a shifted day so you get real-time standups and same-day turnarounds in your time zone, not next-morning replies.
Every line of code, model weight, and prompt is yours from day one. NDAs and clean IP assignment are standard, not an upsell.
You work directly with the engineers building your system. No account managers sitting between you and the people writing code.
We move from scoping to a working system in production in weeks. Most engagements ship something usable inside the first month.
What we build
Concrete systems we ship, tuned to your data and your stack.
Chat and voice agents
Grounded in your policies and systems, able to actually resolve rather than deflect, with disclosure that meets transparency rules.
Handoff with context
A structured summary the human can read in ten seconds, not four hundred words of raw transcript nobody reads under pressure.
Escalation triggers
Sentiment, repeated failure, and case type routed to a person quickly. Containment is worth tracking and not worth targeting.
Grounded answers
Policy responses retrieved from a maintained source, and a decline rather than an improvisation when retrieval returns nothing.
How we work
Scope & evals
We pin down what success means and build the evaluation set before writing the feature, so quality is measured, not guessed.
Build in the open
Weekly demos against real data. You see progress every week and can change direction before it gets expensive.
Ship & instrument
We deploy with logging, cost tracking, and guardrails in place, then tune against production traffic.
Hand off or stay
Take the keys with full docs, or keep us on for iteration. Either way you're never locked in.
Questions, answered
Why is containment rate the wrong target?
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Because it can be improved two ways: resolving more, or refusing to transfer. The second is easier to fall into and produces a customer trapped in a loop with a polite machine, which is the experience people tell others about.
What should we measure instead?
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Resolution rate meaning no repeat contact within a week, transfer-with-context rate, and time to human for the calls that needed one.
Do customers have to be told it is AI?
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Under the EU AI Act's transparency rules, which have applied since August 2026, yes, where it is not already obvious. Practically, disclosure also reduces friction, since people calibrate their expectations.
Where should we start?
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One call or chat type that is high volume, low emotion, and has a clean definition of resolved. Fix the handoff before widening scope, or widening just increases the number of bad experiences.
Let's scope your build.
Tell us what you're trying to ship. We'll tell you honestly whether AI is the right tool and what it would take.