Employers should plan for a workforce that will seek out AI whenever it helps people get their work done.

If the approved system cannot help, a personal subscription or an unofficial tool becomes an attractive alternative. A policy banning that behaviour leaves the underlying demand unanswered.

Bermuda’s employers should meet that demand with a useful, governed AI agent for every employee: one that can access the information needed for the job, work within clear boundaries and improve a measurable outcome.

That is an ambitious proposition for a small island. It is also a practical one. Our competitiveness depends heavily on knowledge, judgment and service. Time spent finding information, repeating routine processes and correcting avoidable errors carries a cost in an insurer, a small business, a charity or a government department.

Buying subscriptions is the easy part. Realising their value requires management to examine how work gets done. Which steps serve a useful purpose? Where does information get lost? Who checks the result? What decisions should the system be allowed to make?

The evidence supports ambition with discipline. A study published in the Quarterly Journal of Economics found that AI assistance increased issues resolved per hour by 15 per cent in one customer-support setting. That is a meaningful result. Its relevance to another organisation depends on the task, the people and the way the system is introduced.

A Bermuda employer should measure its own results. Establish a baseline, introduce assistance into a defined workflow and assess the complete job, including the time spent reviewing and correcting the output.

Did customers receive answers sooner? Did accuracy improve? Could the team handle more work? Did employees gain time for responsibilities requiring human judgment?

These are the measures that should determine further investment. A draft produced in seconds is of little value if a professional spends longer repairing it.

Time saved also needs a destination. An hour released from administration can support better service, additional business or professional development. It becomes a financial saving only when an expense is reduced or avoided. Boards should insist that these benefits are distinguished clearly.

There is a security argument for making approved AI useful, too. When the official route is slow, difficult or incapable of helping, employees have an incentive to find alternatives. Management should take that incentive seriously and give staff a practical way to work within the organisation’s controls.

That is the argument behind Useful Is Secure. Making the approved route useful can strengthen adoption of security controls. It must sit alongside restricted access, monitoring and clear authority.

An assistant preparing a document should receive the information needed for that task. Permission to send the document, approve a payment or alter a customer’s record should be considered separately.

Every employee can have assistance while the authority to act is earned task by task. For consequential decisions, a named person must remain accountable. Staff need to know when to challenge an answer, seek specialist advice and stop a system whose behaviour is inappropriate.

This matters particularly in Bermuda, where professional trust is central to our international reputation. A convincing answer still requires evidence. A faster decision still requires sound judgment. Responsibility remains with the institution using the technology.

Our workforce deserves equal attention. If employers automate tasks traditionally performed by junior staff, they must deliberately create new opportunities to learn. Those tasks often teach people how to identify an exception, understand a customer and recognise when something is wrong.

Bermuda needs employers to develop the professionals who will lead their industries in ten years. Training, supervised responsibility and career progression should therefore be part of the AI investment case.

Employees should also help choose the problems to solve. The people doing the work often understand its weaknesses best. Their experience should shape the design and evaluation of a system from the beginning.

Smaller organisations must have a place in this transition. A local business or charity should be able to begin with one useful process, appropriate safeguards and a manageable commitment. The standard should be proportionate to the work and its consequences.

I would like Bermuda’s employers to make three commitments: provide useful approved AI assistance appropriate to each role; measure improvements against a baseline; and retain clear human accountability wherever the consequences demand it.

They should also be willing to stop an unsuccessful pilot. Discovering that a system cannot perform a task reliably is a useful result. It allows money and effort to move to something that can.

Bermuda has an opportunity to make AI adoption a source of stronger local capability and better service. We should pursue it with confidence, involve our workforce and hold leadership accountable for the outcome.

Give people tools that help them do better work. Give those tools clear boundaries. Then show what improved.

• Gilbert A. Darrell is chief executive of Data Pros Ltd, trading as Rize Technologies, which provides technology and AI services. The views expressed are his own