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Illustrative HexaTech AI assistant conversation on a single phone against pale lavender satin, with business knowledge and human handover glass tiles.

01 / Enquiries & conversations

Every question.
A next step.

A shared AI chat tool that answers from business knowledge, captures enquiries and hands conversations to people.

Project
AI assistant
Scope
Product design / Workflows / Software
Focus
Software product
Explore the project (opens in a new tab)The work & value

02Potential at a glance

70h

Released hours / month

£1,570

Monthly capacity value

£13,340

12-month value after costs

3.5 mo

Capacity-value payback

03Challenge & solution

Every detail.
One business goal.

The same questions arrive while teams are busy serving customers. An assistant needs useful business context and a clear route to human support.

A conversation becomes something the team can act on: an enquiry, a booking request or a contextual handover.

  1. 01

    An approved source of answers

    The knowledge workflow brings FAQs, categories and documents into a maintained source. Tone and operating rules sit beside the content, giving the business control over what an answer should contain.

  2. 02

    A useful route out of the chat

    The experience connects questions with contact capture and appointment choices. The design centres the next useful action, while customer context travels into the shared record.

  3. 03

    Human judgement with the context intact

    The engagement view distinguishes conversations that need attention. Handover keeps the existing thread available, so the team can continue the discussion instead of asking the customer to repeat it.

  4. 04

    Conversation design

    Define useful questions, fallback behaviour and the next action.

04Business value

Modelled impact.

Released capacity

70h

Released hours / month

Modelled released capacity: 70hScenario assumptions: M1: 35; M2: 42; M3: 49; M4: 56; M5: 63; M6: 70. A business-case model, not measured project performance.017.53552.570M1M2M3M4M5M6

Human handling time

58.3% less

Minutes per task

Modelled human handling time: 58.3% lessScenario assumptions: Baseline: 6 min; Scenario: 2.5 min. A business-case model, not measured project performance.62.5BaselineScenario

Capacity value

£1,570

Monthly model

Modelled capacity value: £1,570Scenario assumptions: M1: 1570£; M2: 3140£; M3: 4710£; M4: 6280£; M5: 7850£; M6: 9420£. A business-case model, not measured project performance.£0£2.4k£4.7k£7.1k£9.4kM1M2M3M4M5M6

The operating journey

144

Booking requests

Modelled the operating journey: 144Scenario assumptions: Stage 1: 1200; Stage 2: 360; Stage 3: 144. A business-case model, not measured project performance.1.2k360144Stage 1Stage 2Stage 3

Capacity value / investment

242.5%

12-month model

Modelled capacity value / investment: 242.5%Scenario assumptions: Investment: 5500£; Value: 18840£. A business-case model, not measured project performance.£5.5k£18.8kInvestmentValue

Time allocation

58.3%

Released capacity

Modelled time allocation: Released time 58.3%, Remaining handling 41.7%58.3%Scenario
  • Released time58.3%
  • Remaining handling41.7%

Value after all modelled costs

£13,340

Initial investment included

Modelled value after all modelled costs: £13,340Scenario assumptions: Start: -5500£; M3: -790£; M6: 3920£; M9: 8630£; M12: 13340£. A business-case model, not measured project performance.£-5.5k£-790£3.9k£8.6k£13.3kStartM3M6M9M12
Illustrative HexaTech AI assistant inbox on a desktop display with a chat phone in a smoky lavender marble studio.

05The experience

From ask
to hand over.

A conversation becomes something the team can act on: an enquiry, a booking request or a contextual handover.

Conversation design

Define useful questions, fallback behaviour and the next action.

Product architecture

Connect the conversation with customer records and booking context.

Operational validation

Review the knowledge, escalation rules and missed-enquiry signals.

An illustrated service team reviewing customer enquiries.
An illustrated human handover with conversation context.

06The connected journey

From first intent
to useful action.

  1. 01Ask

    A customer starts with a service question.

  2. 02Ground

    Approved business information supplies the context.

  3. 03Act

    Capture intent and offer the relevant next step.

  4. 04Hand over

    A named person handles decisions that need judgement.

07Technology & expertise

Built to
keep improving.

Product UX

An experience shaped around the user.

Business context

Information the team can maintain.

Connected workflows

People, records and the next action.

Measurement

Useful signals with clear definitions.

Human oversight

Review, ownership and operational judgement.

Business knowledge

Manage FAQs and documents that ground the assistant in the business and its services.

Personality & behaviour

Configure tone, goals and conversation rules for each brand.

Booking conversations

Surface services and availability within the conversation, with a route to book.

Lead capture

Turn contact details shared in chat into a customer enquiry with its context.

Human takeover

An engagement inbox lets the team review, reply and take over a conversation.

Conversation insight

Review the enquiry funnel, entry pages and conversation history to improve answers.

Watch the product walkthrough
Open video file
Silent recording Original product recording.

What to measure next

  • Time to a useful answer
  • Enquiries with usable context
  • Handover ownership and resolution

08Let's do this

What could we
build for you?

Bring us the business challenge. We’ll connect the strategy, experience and working product around it.