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Customer service automation at SHL: 80% of queries, no job losses

Downloads | AI case studies

Customer service automation at SHL now resolves about 80% of candidate enquiries through a low-cost bot, with a human always one click away. Jag Tucker, SHL’s Global Customer Experience Director, explained how at aiblLIVE London 2026.

The bot, Sherlock, absorbed work equal to 35 staff without a single redundancy. Net Promoter Score rose about 10 points, and SHL puts the return on investment at £2 million.

SHL in numbers

  • About 80% of Sherlock’s 110,000 enquiries are automated.
  • 35 staff is the workload the bot absorbed, with no one let go.
  • About 10 points was the rise in Net Promoter Score.
  • £2 million is SHL’s estimate of the return on investment.

All figures as stated on stage by Jag Tucker.

Why did SHL automate its customer service?

Because a small team faced millions of test takers. SHL’s tests are taken in more than 150 countries, in many languages and around the clock. Agents spent much of their time on the same simple requests, such as password resets and which browser to use, all handled by hand.

How does SHL’s customer service bot work?

Sherlock answers questions about what candidates need before a test and runs routine checks, such as confirming browser settings and resetting passwords. It was trained on thousands of articles and built on low-cost tools, including a bot from an Indian start-up. About one query in five goes to a live agent.

AI is to help you and not to replace you. And we live by that today.

Jag Tucker, Global Customer Experience Director, SHL

How does SHL hand queries to a human?

A visible “I wish to speak to an agent” option is always on screen. SHL also tracks how long chats take, improving articles or offering a transfer where technical queries run long. If the bot cannot understand a query, or the language is not supported, it transfers the customer straight away.

Did customer service automation cost SHL jobs?

No. The bot took on work equal to 35 staff, but SHL let nobody go. It stopped recruiting as the business grew.

Staff had feared replacement, but the bot removed the monotonous tasks they disliked. Retention improved, and quarterly surveys showed contact centre staff were markedly happier.

We found generally if the bot was simple and it solved the inquiry quickly, in the language, people were happy to use it.

Jag Tucker, Global Customer Experience Director, SHL

Key takeaways

  • Automate the repeat queries first. Password resets and browser checks are the easy wins.
  • Never hide the human. Keep “speak to an agent” visible at all times.
  • Absorb growth by pausing hiring. It protects jobs and morale.
  • Budget for the hidden work. Translation, integrations and reporting all take time.

About the speaker

SHL logo

Jag Tucker is Global Customer Experience Director at SHL, the online assessment company, where he has worked for 20 years. He spoke on the Customer track at aiblLIVE London on 20 October 2026.

What’s in the full case study

If your contact centre is buried in repeat queries, this is a low-cost route to borrow. The full PDF goes deeper than this page, in Tucker’s own words.

  • Twenty years of groundwork, from Salesforce in 2002 to the bot in 2021.
  • How SHL chose its tools on a tight budget, and the due diligence it did.
  • What went wrong: translation, merged answers and integrations that broke on upgrades.
  • Five actions to take back to your own organisation.

For customer service, contact centre and CX leaders, and operations directors. Six pages, about a seven-minute read.

Automate the queries that drain a team

Customer service automation at SHL: 80% of queries, no job losses
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