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Practical AI workshops for MDs & operations teams

Win more work.
Make it easier
to deliver.

Put AI to work from enquiry to invoice. Help your team draft faster replies, follow up quotes and turn job notes into useful reports. Practical AI workshops built around your business and the tools you already use.

  • Find where AI could save time or help win work
  • Build your team’s confidence with hands-on practice
  • Leave with prompts, a playbook and a pilot plan

For MDs, owners and operations teams. Trades, field service and beyond.

See where AI could help

30-minute AI workflow review

Where is work getting lost?

Bring one bottleneck. We’ll explore where AI could help and whether a practical workshop is the right next step.

30 minutesVideo callSIWith Shaz Iqbal

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Organisations we've worked with

Accent logo
Current Electrical logo
Empire Home Solutions logo
Equatize logo
ICY Solutions logo
Wise Humanity logo

The outcomes we work towards

01

More work won

02

More team capacity

03

Less admin per job

04

Faster invoicing

Practical AI. A useful place to start.

Put AI to work on everyday bottlenecks.

A slow enquiry response. A quote nobody followed up. Job notes waiting to become a report. We help your team use AI to prepare the work, with people checking the details and deciding what happens next.

Learn to give AI the right context, recognise a useful answer and turn it into a repeatable way of working.

Example · From enquiry to first draft

01

Your team brings the context

A customer enquiry, job details and your way of working.

02

AI prepares a first draft

Summarise the job. Flag missing details. Draft a reply.

03

Your team checks and acts

Confirm the scope, pricing and promises before sending.

Practised in a workshop. Adapted to your existing tools.

Where AI could help

Which part of the work
needs to move better?

Connect a business outcome to a practical use of AI. Start with one process, build the team’s skills and measure what changes.

A particular focus on trades and field service. Different sector? If your team manages enquiries, customers, handovers or recurring admin, there’s a useful conversation to have.

01 · Win more of the work you already attract

Enquiries & quote follow-up

Give every enquiry and open quote a clear next step, so more of the demand you already attract gets a proper follow-up.

Where AI helps

Summarise enquiries, draft replies and prepare follow-up messages using the customer and job details you provide.

Your team: Check the scope, price and tone before anything goes to a customer.

What we could measure

Response time · Quotes followed up · Quotes accepted

Explore this AI workflow

02 · Make better use of your team’s capacity

Scheduling & job handovers

Give the office and the team in the field clearer job information, with less chasing between bookings and delivery.

Where AI helps

Turn job notes into a clear handover, pull out missing information and draft customer updates.

Your team: Confirm dates, engineer availability and what has been promised.

What we could measure

Coordination time · Handover delays · Repeat visits

Explore this AI workflow

03 · Reduce the admin around completed work

Job reports & invoicing

Get completed work ready for reporting and invoicing with less rewriting and fewer missing details.

Where AI helps

Turn engineer notes into a draft job report and organise the information needed to prepare an invoice.

Your team: Check the work completed, charges and customer details before approval.

What we could measure

Admin time per job · Missing details · Invoice turnaround

Explore this AI workflow

04 · Apply the same approach beyond trades

Client onboarding & reporting

Bring the same approach to professional services, recruitment or another business with recurring client work.

Where AI helps

Summarise client briefs, turn meeting notes into actions and draft onboarding checklists or progress reports.

Your team: Confirm the facts, responsibilities and next steps with the client.

What we could measure

Onboarding time · Repeated data entry · Reporting time

Explore this AI workflow

Real work behind the workshops

Start with the operating detail.

Experience across service businesses and team training, with the scope of each engagement made clear.

Earlier hands-on work

Six front-office steps. One connected process.

Enquiry capture, qualification, booking, tracking, follow-up and review requests brought into one visible workflow.

Owner-led home-services business

Read the story

Earlier hands-on work

A prospecting process the team could own.

One visible process across prospecting, email, LinkedIn, reply handling and nurture.

Team-development organisation

Read the story

Training programme

A shared approach, practised over 12 weeks.

One Leadership Day and six practical sessions, grounded in the organisation’s own software-delivery work.

Technology services organisation

Read the story

Hands-on AI training, built around your work

Improve one process. Give your team a better way to run it.

Your team learns how to brief AI, check its output and build it into a real process. Practise together, then leave ready to test the approach in the working day.

01 · Map and challenge

Start where work gets stuck.

Bring one process with a clear commercial goal: convert more quotes, reduce coordinator admin or get completed jobs ready to invoice.

You leave with

A process map and one agreed priority.

Example current workflow map

Workflow 01

Quote follow-up

Example process

01

Enquiry

02

Draft

03

Approve

04

Follow up

Owner

Office lead

Delay

Unclear next action

Measure

Quotes followed up

02 · Redesign

Make the next step clear.

Decide what AI can prepare, what the team needs to check and who owns the handover. Use tools your business already approves.

You leave with

An improved process with named owners and review points.

Example future workflow + responsibility map

Future workflow

Who does what

AI assistsPeople decide
StageAIPersonCheck
Gather detailsSummarise enquiryConfirm scopeDetails check
Draft follow-upPrepare messageApprove wordingAccuracy check
Send & follow upSuggest next stepOwn the customerNamed sign-off

✓Every important decision has a named owner.

03 · Train

Build confidence using AI.

Use real enquiries, job details or customer updates. Learn what context to give AI, how to improve a weak first draft and when a person needs to step in.

You leave with

Reusable prompts, quality checks and a team playbook.

Example team playbook

Practice task

Run it on this week's work

45 min
01

Start with the job details

Complete
02

Prepare a follow-up message

Complete
03

Check the facts before sending

In review

Facilitator feedback

The job details are clear. Check the quote status before sending.

04 · Pilot and measure

Test it. Measure the difference.

Run a small pilot with a clear baseline. Track the measure that fits the problem: quote conversion, admin time, handover delays or invoice turnaround.

You leave with

A pilot plan and a simple scorecard.

Example pilot plan + scorecard

Pilot 01

Quote follow-up pilot

Ready to run

Owner

Office lead

Cohort

3 people

Review

After 2 weeks

Response timeBaseline set
Quotes followed upProcess agreed
Quotes acceptedTracked weekly
DecisionExpandRefineStop

How we work

A clear route from problem to pilot.

Map → Challenge → Redesign → Train → Pilot → Measure

01

Map

02

Challenge

03

Redesign

04

Train

05

Pilot

06

Measure

Choose the right amount of help

Start with the smallest workshop that can move things forward.

Agree the priority, work through one process, or build a shared way of working across the team.

01

Executive AI Alignment Lab

MDs, owners & senior leaders · 90 minutes, half day or full day

Choose this when

You need to decide where AI could make a useful difference and what to tackle first.

The team leaves with

Priorities, guardrails, named owners and 90-day actions

02

Functional AI Workflow Lab

One team, one workflow · Three hours or half day

Choose this when

You can point to one process that loses time, creates chasing or holds up work.

The team leaves with

A redesigned workflow, working templates and a pilot owner

03

Workflow Lab Series

Teams improving connected processes · Three to six sessions with real practice in between

Choose this when

Your team needs practice and support across several connected processes.

The team leaves with

Several improved workflows and playbooks the team keeps

Unsure where to start? Talk through one process first

Our team

The people behind the workshops.

A small senior team, supported by specialist advisers. Practical experience, brought into the work your team does every day.

Shaz Iqbal

Founder and AI Capability Lead

Leads programme design, workflow facilitation and executive working sessions.

Wasim Mirza

AI Adoption and Programme Delivery Lead

Leads team practice, adoption planning and the handover into client-owned pilots.

Specialist advisers

Advisers join when their experience fits your workflow and the agreed programme.

Kishore Balasubramanyam

Journey design adviser

Alex Lattimer

Journey design adviser

Nigel Llnnane

Journey design adviser

Built around your working day

Practise using AI on your own enquiries, job details and customer handovers.

Clear decisions and checks

Agree what AI can prepare, who checks it and who owns the next step.

A process your business keeps

Leave with a playbook, a pilot plan and a way to measure the change.

Our partnership with Day Seven

Workflow expertise, backed by specialist AI training.

CustomerJourneys.AI designs and leads every engagement. For selected programmes, DAY SEVEN adds specialist AI training and delivery capacity.

DAY SEVEN logo

DAY SEVEN

Training delivery partner

Qasim and the Day Seven team

CEO, DAY SEVEN

Qasim and the DAY SEVEN team support selected programmes with practical AI skills, tool-specific learning and additional training capacity.

Meet Day Seven (opens in a new tab)

CustomerJourneys.AI

Programme lead

Scopes the workflow, designs the programme, facilitates the workflow labs and measures change.

DAY SEVEN

Training delivery partner

Supports selected programmes with practical AI skills, tool-specific learning and additional delivery capacity.

Your organisation

Implementation owner

Owns policies, decisions, pilots and ongoing implementation.

You have one programme, one agreed scope and one accountable CustomerJourneys.AI lead.

Questions

Before you book.

Is this just for trades and field service businesses?

They are a particular focus, but the workshops are built around the work. If your team handles enquiries, customers, handovers or repeated admin, we can discuss whether the approach fits your business.

Can this help us win more work?

AI can help your team prepare faster enquiry responses and more consistent quote follow-ups. We connect that to a commercial goal and measure the pilot. More revenue depends on demand, conversion, capacity and the value of the work you win.

Do you build and run the systems for us?

Our current offer is practical AI training and workflow workshops. We help your team redesign and practise the process. Your business owns implementation and ongoing operation.

What does the team leave with?

An improved process, reusable AI prompts, review checks, a team playbook and a plan to test it. The aim is for your team to keep using and improving the approach after the workshop.

Does our team need to be confident with AI already?

No. We start with how your team works today. Beginners practise giving AI useful instructions and checking its answers. Teams already using AI work on consistency, shared prompts and applying it across a whole process.

Do we need to buy new AI software?

We start with the tools your business already approves and uses. If a proposed process needs a different tool or access, we make that clear before the workshop.

What happens on the 30-minute call?

We discuss one process, how your team uses AI today and the result you want. We identify where AI might help and whether a practical workshop would be a useful next step.

Where could AI make a useful difference?

Bring one process that loses time or holds up revenue. We’ll explore where AI could help, what your team would need to learn and a sensible place to start.