Examples

What it could look like in your business.

We're new, so these are worked illustrations for your sector, not client results.

Illustration, not a client resultAccountancy & bookkeeping

A 12-person bookkeeping practice

The junior bookkeepers spend much of their week chasing paperwork and re-keying receipts, and they're worried AI will make their jobs disappear. The partners want to grow the advisory side of the practice without losing anyone.

10estimated hours a week across the 5 people whose work changes

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What it could mean for the team

Nobody's role goes. AI takes on the first drafts of client reminders and most of the data entry, and the time it frees moves the junior bookkeepers into client review meetings, learning the advisory work the partners want to grow. The practice manager gets fewer late nights at month-end.

Where AI could help, and what stays human

Task	Recommendation	Hours a week now	Estimated after
Chasing clients for missing records	AI drafts, person checks	6	4
Entering receipts and invoices into the bookkeeping software	AI can help	10	6
Answering routine client queries	AI drafts, person checks	7	6
Writing up client call notes and actions	AI can help	4	2
Drafting month-end notes for clients	AI drafts, person checks	4	3
Client advice and reviews	Keep human	6	6
Total		37	27

What stays human

Advice on a client's affairs
Anti-money-laundering checks
Anything the practice signs off

Bringing everyone along

One partner is sceptical and the juniors are nervous. We'd start with an open session for the whole team on what AI can and can't do, then train each person on the tasks that change for them, at their own pace.

Safeguards

Client financial data stays in the practice's own business accounts
Every AI-drafted reminder and note checked before it reaches a client
A review step before anything is posted to the books

What we'd measure after a few weeks

How confident each person feels with the new tools
How many client reviews the team holds
How long month-end takes

Illustration, not a client resultEstate & letting agents

An 8-person lettings and sales agency

The negotiators are the face of the agency, but too much of their day goes on replying to portal enquiries and juggling viewing times. Tenant check-ins keep slipping.

8estimated hours a week across the 5 people whose work changes

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What it could mean for the team

AI drafts the first reply to each enquiry and handles the back-and-forth of booking viewings. The negotiators use the time to call landlords back the same day and follow up after every viewing. The lettings administrator, who has been there for years and knows every tenant, takes on the check-ins that used to slip.

Where AI could help, and what stays human

Task	Recommendation	Hours a week now	Estimated after
Replying to portal and website enquiries	AI drafts, person checks	10	8
Booking and rescheduling viewings	AI can help	6	4
Writing property descriptions from notes	AI drafts, person checks	5	4
Chasing tenant references and documents	AI drafts, person checks	4	3
Sorting maintenance requests	AI can help	5	3
Viewings, valuations and negotiations	Keep human	12	12
Total		42	34

What stays human

Viewings, valuations and negotiations
Decisions on tenants and repairs
Conversations when things go wrong

Bringing everyone along

The administrator is the least confident with new technology, so they'd be trained first, one to one, and would help decide how the new tools work before anything goes live.

Safeguards

Every property description checked for accuracy before it's published
Every reply to an enquiry reviewed before it's sent
Tenant information kept in the agency's own systems

What we'd measure after a few weeks

How many landlords get a call back the same day
Time to first reply on new enquiries
Tenant check-ins completed on time

Illustration, not a client resultTrades & home services

A 6-person heating and plumbing firm

The engineers write quotes and invoices at the kitchen table after long days on site, and the office manager juggles bookings, reminders and payment chasing on top.

8estimated hours a week across the 5 people whose work changes

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What it could mean for the team

AI turns each engineer's site notes into a draft quote that they check and send, so their evenings stop disappearing into paperwork. The office manager's time moves from chasing payments to calling customers after each job, which is the part of the work customers remember.

Where AI could help, and what stays human

Task	Recommendation	Hours a week now	Estimated after
Turning site notes into written quotes	AI drafts, person checks	6	4
Booking jobs and sending reminders	AI can help	5	3
Preparing invoices and chasing payments	AI drafts, person checks	4	3
Replying to website and missed-call enquiries	AI drafts, person checks	4	3
Writing up job notes for records	AI can help	4	2
Customer visits and callbacks	Keep human	10	10
Total		33	25

What stays human

Customer visits and the work itself
Safety checks and certificates
Prices for anything unusual
Complaints

Bringing everyone along

The engineers don't want to learn a new system, so we'd build on the phone apps they already use, show each of them how it works on site, and check in after the first few weeks.

Safeguards

Every quote checked against the engineer's notes and price list before it's sent
Reminders sent from the firm's own accounts
Customer details kept in the firm's own systems

What we'd measure after a few weeks

Evening hours spent on paperwork
Time from visit to quote
Days to get paid

Our own rulesNortevant

The rules we hold ourselves to

We use AI in our own business the way we'd advise you to. People make the decisions, people check the work, and the parts of the job that need a human stay human.

See what stays human

What stays human, and why

Every conversation with you. You should always be talking to a person who knows your business.
Every decision about your business and your people. Judgement and accountability belong with people.
Anything sent in our name. We read it, and we stand behind it.
Prices and promises. A person agrees them, in writing.

Our rules for AI

Business versions of AI tools, never personal accounts
Client information stays out of any tool that could learn from it
A person checks everything before it leaves the business

Each sector example shows how we'd approach a typical business of that kind. They're illustrations, not client results. Headline hours are estimated from published figures by role, and negotiator and engineer figures are our own estimates, because no study measures those roles directly. Task-by-task hours are illustrative.

Coming next

Our clients' stories

When we publish a client's story, every figure will come from their own before-and-after numbers, and they'll approve it before it goes live.

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What makes Nortevant different

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