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SHARP LYNX
Specialists reviewing a controlled automation workflow

SHARP LYNX / Marketing services

AI Chatbots & Assistants

Respond to routine questions while keeping real people in control.

What this means for your business

Useful conversational assistants for FAQs, lead qualification and human handoff.

An assistant should answer the questions it has reliable information for and know when to involve a person. We build around approved knowledge and a defined task, such as explaining services or collecting a booking request, rather than letting the assistant make business commitments on its own.

Is it the right next step?

Useful for repeat questions and simple qualification tasks with clear answers. Sensitive advice, uncertain cases and unusual customer requests should remain with a human.

Find your starting point

The problem

Where performance leaks.

Repetitive enquiries taking time from valuable conversations.

After-hours questions going unanswered.

The decisions behind the work

A closer look at the strategy.

01

Keep knowledge reviewable

The assistant's source material needs an owner and an update process. Changes to prices, services or policies should be reviewed before they appear in a response.

02

Design uncertainty and handoff

A missing answer should lead to a useful fallback or human contact, not a confident guess. We define when to stop collecting information and pass the conversation on.

03

Check real conversation scenarios

We test routine questions, ambiguous requests and attempts to push beyond scope. Quality review continues after launch because customer language and business details change.

Our approach

How we build it.

01

Knowledge design

Build a reviewed knowledge base using approved business information.

02

Conversation flows

Set qualification questions, booking steps and clear escalation rules.

03

Safeguards

Limit sensitive data collection and test accuracy, fallback behavior and human handoffs.

Consultants agreeing on customer journeys and project requirements

A practical start

What we need
from your team.

Clear access, current information and agreed responsibilities keep the work moving. We confirm the requirements before the project begins.

  • Approved FAQs and current business information
  • Allowed tasks and topics to avoid
  • Escalation contacts and availability
  • Privacy rules and integration requirements

Included

What you get.

  • Use-case discovery
  • Knowledge base setup
  • Website chat flows
  • Lead qualification
  • Booking integration
  • Human escalation
  • Quality review

Workflow example

A typical campaign cycle.

  1. 01Define scope
  2. 02Prepare knowledge
  3. 03Build conversations
  4. 04Connect handoffs
  5. 05Test responses
  6. 06Monitor quality

Measurement, not guesswork

Know what the numbers mean.

We monitor answer quality, completed tasks and successful human handoffs. AI can still make mistakes; the system is designed to limit their impact, not claim perfect accuracy or replace all support.

FAQ

AI Chatbots & Assistants questions.

Can an assistant replace human support?+

No. It handles defined routine tasks and should escalate complex, sensitive or uncertain questions to your team.

Can the assistant quote prices or make promises?+

Only within an explicitly approved scope and current source information. Where pricing or eligibility needs judgment, the assistant should collect the minimum context and hand the request to your team.

Connect the next piece

Related services.

Let's talk about ai chatbots & assistants.

Tell us what is working, what is getting in the way and what a useful next step would look like for your business.

Get a Growth Plan