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Where AI fits

Where AI fitsin your business.

Not everywhere. AI is brilliant at work that repeats and follows rules, and poor at work that needs judgement. Here’s how we tell the difference, and where it usually pays off first.

The test

Four questionsfor every task.

Before we suggest automating anything, it has to pass this test. Most companies find a handful of tasks that pass easily.

  • 01

    Does it happen often?

    Daily or weekly work pays back quickly. A task you do twice a year rarely does.

  • 02

    Could you write the rules down?

    If you could explain it to a new hire with a checklist, an agent can follow it too.

  • 03

    Is it mostly reading, checking or moving information?

    Sorting messages, matching documents, updating systems and drafting replies are where AI shines.

  • 04

    Can a mistake be caught before it matters?

    When a person can review the output before it goes out, risk stays small while the system earns trust.

The method

Map the week.Find the repeat.

Scroll to see how we turn a normal working week into a plan: what moves to AI agents, and what your people get back.

01 · Map the work

First, we look at how work really flows.

We sit with your team and walk through a normal week: what comes in, where it goes, and where the hours quietly disappear.

02 · Find the repeat

Then we find the work that follows rules.

Reading, checking, copying, chasing. Most teams lose their days to work a new hire could do from a checklist. That’s where AI shines. Judgement stays with your people.

03 · Hand it over

We hand exactly that to AI agents.

Agents built for those tasks, connected to the tools you already use, with permissions and approvals in place from the first day.

04 · Time back

Your people get their time back.

Hours go back to customers, decisions and growth, while the routine keeps moving in the background.

Where AI usually helps first

Where it helps first

Six placesAI usually earns its keep.

Hiring

When every CV is polished, polish stops meaning anything.

AI writing tools mean most applications now read well. We help you screen on evidence instead: what someone has actually done, measured against what the role really needs.

We built Talenda for exactly this. Meet Talenda

AI handles

  • Reads every application in full
  • Pulls out concrete evidence: roles, results, skills used in practice
  • Compares each candidate with the criteria your team agreed
  • Prepares a shortlist with the reasons behind every name
  • Books interviews and keeps candidates updated

People keep

  • Who to meet and who to hire
  • Interviews and final judgement
  • The criteria the screening uses

No candidate is rejected by AI alone. Every shortlist shows its reasons, so your team can check them.

Customer service

The same questions, all day long.

Order status, returns, opening hours, how-tos. Most customer messages repeat, and the answers already live in your systems and policies.

AI handles

  • Sorts and prioritises incoming messages
  • Drafts replies from your policies and order data
  • Answers routine questions directly, where you allow it
  • Routes upset or complex cases to the right person, with a summary

People keep

  • Complaints, exceptions and goodwill gestures
  • Refunds and anything involving money
  • The tone and policies the AI follows

Agents start in draft mode. A person approves every reply until you choose which kinds can go out on their own.

Finance & admin

Invoices, receipts and endless copy and paste.

Back-office work is full of documents that need reading, matching and filing. It’s precise and repetitive, which suits AI, with a person checking the exceptions.

AI handles

  • Reads invoices, receipts and purchase orders
  • Matches documents and flags anything that doesn’t add up
  • Enters data into the systems you already use
  • Chases missing paperwork

People keep

  • Approving payments
  • Disputes and exceptions
  • Month-end judgement calls

Agents can prepare a payment but never send one. Money only moves with a person’s approval.

Sales & marketing

Leads go cold while everyone is busy.

Following up, researching prospects and keeping records current are the first things to slip in a busy week.

Our own Marketer workspace brings this together. Meet Marketer

AI handles

  • Researches new leads and their companies
  • Drafts personal follow-ups for your review
  • Keeps customer records up to date after calls and emails
  • Adapts one piece of content for each channel

People keep

  • Relationships and conversations
  • Pricing and negotiation
  • What goes out under your name

Nothing is sent or published without approval, and every draft shows what it was based on.

Reporting & operations

Monday mornings lost to spreadsheets.

Weekly numbers, stock levels, project status. Someone spends hours pulling the same report together from the same places.

AI handles

  • Collects figures from your systems and sheets
  • Builds the weekly report in your usual format
  • Highlights what changed and what looks unusual
  • Reminds the right person when something needs attention

People keep

  • Reading the numbers
  • Decisions and priorities

Every figure links back to where it came from, so nobody has to take a number on trust.

Company knowledge

Only one person knows where that file is.

Policies, product details, past projects and how-tos are scattered across drives, inboxes and people’s heads.

AI handles

  • Answers questions from your own documents
  • Shows the source behind every answer
  • Helps new starters find their way
  • Notices when documents look out of date

People keep

  • Owning and updating the knowledge
  • Deciding who can see what

The assistant only uses documents each person is allowed to see, and says so when it doesn’t know.

And where it doesn’t

Where AI doesn’t belong.Yet.

Part of our job is telling you where not to use AI. These stay with people.

  • 01

    Final decisions about people.

    Hiring, performance and anything that changes someone’s job stays with a person.

  • 02

    One-off strategic calls.

    If there’s no pattern to learn from, there’s nothing for AI to repeat.

  • 03

    Anything you can’t check.

    If no one can review the output before it reaches a customer, it isn’t ready.

  • 04

    Processes nobody agrees on.

    Fix the process first. Automating a muddle only makes a faster muddle.

FAQ

Questions aboutwhere to start.

What business processes can AI automate?

Work that repeats, follows rules and mostly involves reading, checking, writing or moving information: sorting enquiries, matching invoices, screening applications, drafting replies, compiling reports and answering questions from company documents.

How do we choose our first AI project?

Pick a workflow that happens often, wastes visible time, and where a person can review the output. A good first project proves its value quickly with little risk. We compare the candidates with you while mapping your week.

Can AI screen CVs fairly?

AI should support screening, not make the decision. We set it up to look for concrete evidence against criteria your team agrees, show its reasoning for every candidate, and leave every decision with people.

Will it work with the software we already use?

Usually, yes. We connect to the tools you already have wherever they allow it, such as email, spreadsheets, CRMs and accounting systems, rather than asking you to switch.

Let’s talk

Tell us where it hurts.We’ll show you where AI fits.

Send us a few lines about your team and the work that eats your week. We’ll reply with honest thoughts on where AI would help first, and where it wouldn’t.

Email sales@loming.com What to include