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Customer-facing AI agents.

Agents that face your customers and hold the brand line.

Proven onTSAC

The system, in motion / Customer-facing AI agents

Live chat0.8 SCUSTOMERBRAND REGISTERGrounded knowledgeRETRIEVED · 3 SOURCESHuman in the loop
Grounded, on brand, escalated
What it is

Customer-facing AI agents are conversational systems that do real front-of-house work. Intake and qualification, support triage, booking and account questions, guided onboarding. We scope what the agent owns, what it hands to a human, and the register it is allowed to speak in, then build it on your stack with your knowledge behind it. The output is a front line that answers in seconds and never drifts off brand.

Who it is for

Operators whose team answers the same questions every day. Firms losing enquiries that arrive outside business hours. Founders who want AI in front of customers but will not accept a generic widget speaking for the brand.

What is included
How it runs
01

Scope

A short, paid diagnostic that maps the work before any code is written.

02

Design

Architecture and interface, decided up front rather than discovered late.

03

Build

Shipped to production on infrastructure we keep running afterward.

04

Compound

We stay on the system so it keeps earning across years, not months.

Questions
How is this different from your AI workflows capability?

AI workflows are internal. They compress a team's recurring work behind the curtain. Customer-facing agents stand in front of the business, speak in its register, and carry escalation rules because the cost of a wrong answer is public. Different audience, different guardrails, different build.

Will it hallucinate at a customer?

The agent answers from grounded retrieval over your knowledge, not from the open model. Where it is uncertain it hands off to a human rather than guessing, and the evaluation suite runs against real conversations before anything goes live. Transcripts are monitored after launch.

Which channels does it cover?

Web chat first, because that is where most intake happens. Email and WhatsApp where they earn their place in the operating reality. Voice is scoped case by case; we will say so plainly if it is not ready for your use case.

What happens after launch?

The Maintain stage. Transcripts get reviewed, prompts and knowledge get tuned on a cadence, and the escalation boundary moves as trust in the agent grows. An agent that is not maintained drifts; ours are watched.

Start here

LET'S WORK.

Bring the problem, the deadline and the ambition. We will tell you what we would build and how fast it can ship.