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Give your business its time back

A working day often disappears into things nobody thinks of as the work itself: copying details from an email, finding a document, chasing a colleague or checking an order. These are useful places to look for automation. Start with a recurring path that you can make shorter and clearer.

Find where work gets stuck

Follow one process all the way from a customer's enquiry to a completed order. Notice where information arrives, who moves it and who waits for an answer. Ask employees to show you an ordinary working day. A real example quickly reveals repeated data entry, searches through messages and forgotten approvals.

Record time spent working separately from time spent waiting. A request might take ten minutes to prepare, then wait two days for the right person. Faster preparation will make little difference to the customer until that queue disappears. A shared task list and a clear owner may be the best first improvement.

Connect the tools you already use

Before adding artificial intelligence, connect your existing tools. A website enquiry could automatically enter your customer management system, create a task for the account manager and save documents in the right folder. Employees no longer have to move the same information by hand.

Clear rules need ordinary automation: calculate a total, send a reminder, update a status or check that a field is complete. AI can help interpret an email, summarise a conversation, read a document or draft a reply. This distinction helps you spend on the part of the work that actually needs it.

Choose a task with a visible outcome

A good first task happens often, has a clear outcome and can be checked quickly. Preparing a meeting summary is a better starting point than independently settling a customer dispute. Where a mistake could seriously affect a person or the company, decide who reviews the outcome and how an action can be corrected.

The US National Institute of Standards and Technology documents AI's risk of confidently wrong answers. Start with a focused task whose inputs and results can be checked.

  • Enquiries: identify the request, fill in the customer record and route it to the right colleague.
  • Documents: gather information, find inconsistencies and prepare a draft.
  • Sales: summarise a customer's history and remind the team of the next step.
  • Teamwork: collect meeting outcomes and agreed actions.
NIST — Generative Artificial Intelligence Profile, 2024 ↗

Test the benefit in everyday work

First measure how long the task takes today, how often it needs rework and how long the customer waits. Then try the new approach on a small share of real tasks. Compare similar cases, including difficult ones. Time spent fixing mistakes is part of the result.

Ask employees whether the solution is comfortable to use. Opening three extra windows for one suggestion can add work. Put the assistant where people already work and give them a clear way to continue independently when a suggestion is unhelpful.

Extend what works, step by step

Once the first stage works reliably, connect the next one: an enquiry to a proposal, or a meeting to the follow-up on agreed actions. Over time, much of the repetitive work can be automated, leaving people more attention for negotiations, unusual situations and product development.

Assign a process owner to keep the rules current, examine unsuccessful cases and help colleagues adapt. Automation needs attention after launch because documents, prices, employees and business needs keep changing.

What to take away

Start with one path where your team regularly loses time. Remove unnecessary handovers and manual data entry, then add AI where interpreting information helps. Expand the solution when measured results justify it.

Sources
Alexandr Neliubov

CMSAUTO founder

Combines experience in finance and corporate business with practical software development. Focused on both the business challenge and the people who will use the solution.

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Let’s discuss your challenge

Tell us where work takes too much time. We’ll explore the process and find a useful role for AI.