AI Assistants for defined customer interactions
Klessi builds bounded AI assistants that use approved information to support a defined customer interaction, with clear limits, human escalation and review.
What a Klessi AI assistant does.
AI assistants are most useful when their purpose, information boundary and escalation route are clear. A Klessi AI assistant works from a defined set of approved information. It is bounded to the questions and interactions agreed for the use case, rather than trained broadly on the organisation or the open web:
Approved Knowledge
Verified FAQ, pricing, and scope rules
Bounded Response
Answers facts, captures enquiry context
Direct Hand-Off
Personal follow-up for exceptions & proposals
What the Assistant Answers
- Service pricing baselines and boundaries
- Typical delivery timelines and onboarding steps
- Prerequisites, formats, and consultation booking
What It Must Hand Over to a Person
- Commercial fee negotiations and custom terms
- Sensitive client relationship and strategic advice
- Final proposal verification and sign-off
Instant FAQ Responses
Handles common questions ("What are your opening hours?" "Do you offer X?") instantly, 24/7.
Appointment Booking
Integrates directly with your calendar (Calendly, etc.) to book appointments for clients mid-chat.
Lead Capture
Secures visitor contact details and project details, feeding them directly into your pipeline.
Smart Escalation
Seamlessly collects enquiry data and routes it to your email when a human response is needed.
Defined implementation boundary
The assistant is implemented within an agreed customer interaction and information boundary. Any surrounding website or digital-platform work remains separate and can be coordinated with the organisation's existing specialist or a referral partner.
Scenario testing before launch
Before launch, the assistant is tested against expected questions, unclear requests, out-of-scope prompts and escalation scenarios. The agreed information boundary and human handoff are checked before real users interact with it.
Where an AI assistant can create practical value.
The strongest use cases involve repeated questions, approved information and a clear point where a person should take over.
💬 Product and service enquiries
Answer recurring questions about options, availability, process and next steps, then capture the context needed for a useful human follow-up.
📅 Booking and appointment preparation
Help visitors understand what to expect, gather the relevant information and route the request into the business's agreed booking or response process.
👥 Customer support and account guidance
Retrieve approved help information, guide customers through routine requests and escalate exceptions, complaints or relationship-sensitive issues to the team.
From £1,250, scoped around approved information.
AI Assistants
Bounded customer-facing assistant using approved information, with clear conversational limits, human escalation and review. Focused on one clear client-facing use case.
AI Adoption Sprint
If the assistant needs to connect with staff inboxes, a CRM, internal knowledge or multi-step workflows, start with the AI Adoption Sprint so roles, permissions, human oversight and operating practice can be designed properly.
Hosting & API Cost
Typical direct third-party hosting/API costs vary by provider and usage. These are paid directly by the client; Klessi adds no markup or management retainer.
AI assistants can be commissioned directly where the interaction, information boundary and escalation route are already clear. AI agents are scoped through the appropriate adoption pathway because implementing them changes how work, systems and human decisions connect.
Who this is for.
If your team spends several hours a day answering repeated questions about pricing, availability, opening hours or bookings, this is for you.
The assistant doesn't replace your staff; it handles the repetitive load so your team can focus on complex tasks that actually need a human touch.
Not sure whether you need an assistant yet?
Take the AI Scorecard to see whether an AI assistant, an operational adoption or another path is the right next step.