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Technology & AI for Business

The question is not which tool to buy. It is which problem you are trying to solve.

Owners are shown new software, apps and AI tools every week, and many end up with five subscriptions, two copies of the customer list and a team that has stopped using all of them. This session works the other way round: start from where your own business loses time, money or customers, and only then ask whether technology helps.

A shop owner and practitioner check a digital draft against real order details.
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A new tool is not automatically a better system.

Many small businesses adopt technology because a competitor did, a salesperson called, or a friend recommended something. The result is often more places to enter the same information, more passwords, and a team that quietly goes back to the notebook and the messaging app.

Technology helps most where the work is repeated, the steps are clear and a mistake is costly. It helps least where the process itself is unclear, because software tends to make a confused process faster and louder. This session helps owners tell the two situations apart before they spend money or staff time.

What the session covers

35 topics across 7 areas. Seven parts, worked through on the participants' own businesses.

Mapping How Work Really FlowsYou cannot improve what nobody has written down.5
  • From enquiry to payment: the steps as they happen, not as they should
  • Who does each step, and where the handoffs are
  • Where work waits, repeats or gets lost
  • What lives in one person's head or phone
  • Which steps involve customer or money information

Most owners find the real bottleneck is one handoff, not the whole business.

Where Technology Usually HelpsSix common places, none of them universal.6
  • Keeping track of customers and enquiries
  • Following up on time
  • Taking and recording payments
  • Keeping stock and orders straight
  • Producing routine documents and messages
  • Seeing the numbers without rebuilding them each month
Software, Automation or AI?Three different kinds of help, with different risks.5

Rules-based automation behaves the same way every time. AI output can vary and can be wrong, so it suits tasks where a person reviews the result.

  • Software: a better place to keep and find information
  • Automation: a fixed rule that does a repeated step for you
  • AI: drafting, summarising and suggesting, with output that must be checked
  • Simplifying the process first, which often needs no tool at all
  • When a notebook or a shared sheet is the right answer
The Hidden Costs of a New ToolThe subscription is the smallest part.5
  • Time to set up, move data and train people
  • Duplicate data in two systems that drift apart
  • Dependence on one provider, and how you would leave
  • Add-ons, per-user charges and renewal terms
  • Staff who were not consulted and will not use it

Ask what it would cost, in time and money, to stop using it in a year.

Your Data and Your CustomersTechnology puts other people's information in new places.5
  • What customer information you hold and where
  • Who in your team can see what
  • What a provider can do with the data you put in
  • Backups you control
  • India's data protection law, and why to ask about it early

The Digital Personal Data Protection Rules were notified in November 2025, with most obligations applying from May 2027. Check the current position for your business.

Where Not to Use ItSome work is better left alone.4
  • Processes you cannot yet describe clearly
  • Relationships where a personal call matters more than speed
  • Legal, tax and compliance decisions that need a professional
  • Anything you could not run for a week if the tool failed
Starting SmallReversible beats ambitious.5
  • One problem, one owner, one month
  • What you will measure, written down in advance
  • A fallback if it does not work
  • A review date before anything is renewed or extended
  • Telling the team what is changing and why

Worked in the room

  • Sketching one process from the first enquiry to the final payment
  • Marking each handoff and each delay in a different colour
  • Choosing one bottleneck and deciding what kind of help it needs
  • Writing the three questions you will ask any provider

Questions participants take away

  • What exactly is the problem, and how would I know it was fixed?
  • What would this cost me in total over a year?
  • What data goes in, and who else can see it?
  • How do I get my information back out?
  • Who on my team will use this every day?

How the session runs

A practitioner who has run a small business talks through how they decide where technology belongs in a business like theirs, including tools that were not worth keeping. Participants then map one process from their own business on paper, find the bottleneck and discuss what kind of help would suit it. No product is recommended or ranked; the session teaches how to decide, using hypothetical examples for illustration.

What your students leave with

  • A one-page map of how work actually flows through their business
  • Two or three real bottlenecks identified, in their own words
  • A simple way to ask whether software, automation or AI suits each one
  • A clear picture of the hidden costs of adopting a new tool
  • A short list of questions to ask before buying or switching
  • One small, reversible experiment to try over the next month

Scheduled sessions

Nothing scheduled yet

Sessions are arranged with a college once a date is agreed. Ask us and we will find the right person for it.

A student rather than a college? See what is coming up, or ask your placement team to host this.

Start with the business problem. Then choose the technology.

Tell us who your students are and what stage they are at. Sessions are free for participants.