Turn every sales meeting into a consistent coaching loop

29 August 2026

Turn complex research into a decision-ready evidence pack

29 August 2026

REAL-WORLD AIMAI APPLICATION

Give customers fast, grounded answers and hand complex enquiries to people

AIMAI developed a Customer Helpdesk & Website Enquiry Application that answers common questions from approved knowledge, asks clarifying questions and hands complex or sensitive enquiries to people with context intact.

The impact

Answer routine questions consistently

Customers receive the same approved information regardless of when or where the enquiry begins.

Clarify before the handover

The Application can gather the useful context and qualification information a person would otherwise have to ask for again.

Preserve context when a person takes over

The human team receives a structured summary of the enquiry and conversation rather than asking the customer to restart.

Keep promises inside approved boundaries

Uncertain, sensitive or unsupported questions are routed to people instead of being answered speculatively.

The problem

Customer teams repeatedly answer the same questions across websites, email, messaging and phone. Generic chatbots are often shallow, disconnected from business knowledge and poor at recognising when a human should take over.

What the Application does

The Application uses approved customer-facing knowledge to answer common enquiries, explain products or services and ask useful clarifying questions. Qualification and routing rules help it recognise when an enquiry needs a person, then prepare a structured handover so the human team receives the conversation and context rather than starting again.

How it works

  1. Approved customer-facing knowledge and routing rules configured
  2. Customer asks a question or begins an enquiry
  3. Application answers from approved information and asks clarifying questions where useful
  4. Qualification, sensitivity and routing rules applied
  5. Complex, uncertain or high-value enquiries prepared for human handover
  6. Staff receive the conversation context and decide the next action

What it uses

  • Approved FAQs, product or service information and policies
  • Qualification and routing rules
  • Contact or enquiry forms
  • Optional client or account context

What it produces

  • Grounded customer answers
  • Clarifying questions and guided journeys
  • Lead or support qualification
  • Structured handover summary for staff

Where people stay in control

The Application stays within approved customer-facing knowledge, avoids unsupported promises and escalates sensitive, uncertain or out-of-scope questions. Human staff remain responsible for complex service, commercial and regulated decisions.

The result

Customers get a faster, more consistent first response from approved information, while the service team receives clearer context when a person needs to take over. Complex or uncertain questions remain visible and accountable rather than being guessed by the Application.

Could something similar work in your business?

It is likely to be relevant if:

  • Your team repeatedly answers the same product, service or policy questions.
  • Website or messaging enquiries need clarification before they reach the right person.
  • Generic chatbot answers would create brand, service or compliance risk.
  • Staff lose time reconstructing context when an enquiry is handed over.
  • Complex, sensitive or commercial decisions must remain human.

Have a workflow like this?

Tell us how customer and website enquiries are handled today. If the workflow has similar approved knowledge, qualification rules and human handovers, we can show you how an Application could be configured around your customer-service process.

Explore it with AIMAI