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InterviewWorkspace Tech1h · 09:01 BST · 6 min read

How Autonomous Should Workplace Technology Really Be?

As smart rooms, connected devices and AI-driven management platforms take on more workplace decisions, where should organisations draw the line? In this interview, Cisco UK & Ireland CTO Rob Lay examines automation’s value – and why privacy, accountability and human oversight still matter

Workplace technology is increasingly able to respond to its surroundings without waiting for an employee or IT team to step in.

A meeting room can adjust its cameras and audio. Sensors can flag changes in air quality or temperature. Device-management platforms can identify a fault, recommend a fix and, in some cases, resolve it automatically.

For organisations dealing with hybrid working, busy IT teams and inconsistent meeting-room experiences, that capability is attractive. But it also raises a harder question: when should technology be allowed to act independently, and when should a human remain responsible for the decision?

Speaking to UC Today, Rob Lay, CTO for Cisco UK & Ireland, said workplace autonomy has a clear role when it is used to remove routine friction. However, he said organisations need stronger controls when systems touch recording, privacy or other higher-risk decisions.

“There’s a lot that we can do,” Lay said.

“There’s a lot of things from the perspective of adapting the actual technology itself and allowing the technology to adapt to the scenario.”

Automating the meeting-room experience

One of the most immediate examples is the meeting room itself.

As hybrid meetings have become a permanent feature of working life, organisations have invested in cameras, microphones and audio systems designed to improve the experience for remote attendees. The next step is to make those technologies more adaptive.

Lay said room systems can coordinate cameras, microphones and audio automatically to improve how participants are seen and heard. The aim is to reduce the difference between being in the room and joining remotely.

Cisco refers to this as “distance zero”: the goal of making remote participants feel as though they are present in the meeting space.

That could mean cameras framing speakers more effectively, microphones adapting to the room or audio systems responding to changes in the environment. These are largely low-risk uses of automation because they are focused on improving the operation of the meeting rather than making decisions about the people in it.

The same applies to smart-building functions. Workplace technology can monitor temperature, humidity and air quality, then respond where it is connected to building-management systems.

“If the meeting room is getting too hot for the number of people that’s in it, then why don’t we just turn down the AC a bit?” Lay said. “Or, even better, if the building is so equipped, maybe we change the shutters on the outside of the windows to stop the sun streaming in, rather than bringing the AC down.”

For facilities and workplace teams, these applications could help make offices more comfortable and efficient. But they also highlight the expanding range of stakeholders involved in workplace tech decisions.

The surveillance question

The more sensitive issues emerge when data gathered from workplace devices and spaces is connected to employee activity.

Occupancy data, device telemetry and meeting-room analytics can be useful for understanding whether technology is working and how space is being used. But without clear safeguards, the same data can create concerns about monitoring employees.

Lay said organisations must distinguish between using technology to optimise a meeting experience and using it to make privacy-sensitive decisions.

“If a human has initiated a meeting, then by all means, let’s have the autonomy so that the camera can be fine-tuned [and] the speakers can be fine-tuned,” he said.

However, he added that organisations should be able to prevent autonomous systems from activating cameras or recording activity without being directed to do so.

“We ought to make sure that we have the ability to stop the agents and the AI or the autonomous systems going, ‘Yeah, we’ll turn the camera on even if we’ve not been told to or asked to.’”

Recording is a relatively clear example of where consent, policy and user awareness matter. But organisations will need to consider similar questions across a wider set of workplace systems: what data is collected, who can access it, how long it is retained and whether it is being used to manage technology or assess individual employees.

Those decisions cannot sit with IT alone.

Lay said conversations about smart spaces now increasingly involve workplace teams, HR and other business stakeholders alongside technical teams. That reflects the fact that decisions about workplace data have implications beyond infrastructure performance.

“Those privacy aspects and those concerns are front and centre for a lot of those stakeholders.”

From automatic fixes to human approval

Autonomous operations may also change how IT teams manage devices and services.

Rather than waiting for users to report a broken microphone, failed connection or underperforming room system, management platforms can increasingly detect developing issues before they affect a meeting. They can then suggest or apply a fix.

Lay said this can help organisations become less reactive.

“If we can start to identify some of these things before they become actual problems, then we can fix them in the background,” he said.

That does not mean every action should be automatic. Lay said the appropriate level of autonomy depends on the problem, the potential impact of remediation and the organisation’s own appetite for risk.

A low-impact technical fault may be suitable for automated remediation. A change involving security settings, recordings or employee data is likely to require a human decision. In many cases, the practical middle ground is for a system to produce ranked recommendations, with an administrator approving the action.

“There is absolute benefit to us operating closer to machine speed,” Lay said. “But we’ve got to make sure that we still have the checks and balances where we’ve got the humans monitoring what’s going on.”

This is likely to become an important governance issue as organisations adopt more AI-driven operations tools. The question is not simply whether a system can take an action, but whether the action is reversible, understandable and accountable if it goes wrong.

Trust will determine adoption

Over the next year, Lay expects workplace technology to become more integrated across collaboration, networking and management platforms. He also expects more interest in agentic operations, where software can identify issues and take action across systems.

For workplace leaders, the immediate opportunity is to automate the repetitive tasks that interrupt employees and consume IT resources. The harder work will be setting the boundaries.

Lay argued that the purpose of workplace technology should be to remove friction, allowing people to focus on collaboration and relationship-building rather than the mechanics of getting a room or device to work.

But the success of that approach will depend on trust.

“If our users and our customers’ users don’t trust the technology, then they won’t use it,” Lay said. “At which point, the benefits disappear.”

The organisations most likely to benefit from workplace autonomy may therefore be those that are clearest about what systems can do alone, what requires approval and who is accountable when automation gets it wrong.

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