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AI IntegrationChatbot

UK Therapy Provider

An AI triage chatbot for a therapy provider — handling initial enquiries against safe operating procedures and reducing first-contact load on clinical staff.

Mental Health / Therapy Services (anonymised) · AI Triage Chatbot

UK Therapy Provider — AI Triage Chatbot

The challenge

In mental-health services, triage isn't a form — it's a structured conversation that must follow safe operating procedures precisely, because getting it wrong has real consequences. The choice was to hire more staff for first contact, or build a system that could conduct initial triage reliably and escalate to a human when needed. The chatbot had to understand the company's specific protocols, ask the right questions in the right order, and know exactly when a human needed to take over.

What we did

Safe operating procedure integration

Trained on the company's specific triage protocols — not a generic FAQ bot, but a system that follows the clinical logic the team uses.

Company information layer

Service information, pricing and intake process, so the bot handles informational enquiries alongside clinical screening.

Escalation workflow

Clear escalation triggers — specific responses that flag an immediate human handover, including safeguarding scenarios.

Website integration

Integrated into the existing client-facing site for a seamless first-contact experience.

Tech used

AI chatbot platform · custom knowledge base · escalation logic · website integration

The timeline

Faster, without cutting corners.

 
Manual first-contact
Traditional chatbot
Trisec build
Time to live
n/a (existing)
6–10 weeks
Delivered on scope
Staff time / enquiry
High
Reduced significantly

Built before our current AI workflow; the principle is unchanged — protocol-accurate, with human escalation.

“It handles first contact with genuine care and escalates the moment it should. It's freed our clinicians to focus on therapy.”
Clinical Director (name withheld)

What this shows about Trisec

One of the most demanding contexts for an AI system — the stakes of a wrong answer are real, and the protocols exist for good reason. This wasn't a "what are your opening hours?" bot. It was built to follow clinical triage logic precisely, handle sensitive disclosures appropriately, and escalate without hesitation. Getting it right required understanding the business deeply, not just building to a spec.

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