The AI-ready workplace begins with what enterprises can hear and see
The debate over hybrid work has moved beyond how many days employees should spend in the office. For enterprise technology leaders, a more consequential question is whether the workplace itself is designed for the way people collaborate today — across offices, homes, meeting rooms and digital platforms, increasingly with AI participating in the conversation.
This calls for a shift from “return to office” to “rethink the office”. Meeting spaces can no longer be designed around room capacity and conferencing screens alone. They must enable consistent participation, clear audio, reliable video and the capture of information that AI-powered tools need to generate useful meeting summaries, insights and follow-up actions.
For Holger Reisinger, Senior Vice President, Enterprise Video Business Unit, at Jabra, and Peter Jayaseelan, Vice President and Managing Director, South Asia and Channels (APAC), the evolution of enterprise collaboration is as much about the underlying workplace technology as it is about the applications layered on top of it.
From meeting rooms to collaboration infrastructure
Hybrid work has exposed a persistent weakness in enterprise collaboration: the experience can vary sharply depending on where a participant sits. A poorly equipped meeting room, inconsistent microphones or inadequate video coverage can make remote participants feel peripheral, even when an organisation has invested in collaboration software.
As businesses rethink their offices, smaller meeting rooms and huddle spaces become important parts of the equation. Collaboration is not confined to large boardrooms or formal conference rooms. Teams need to move between quick discussions, focused conversations and larger meetings without losing the quality of the experience.
For enterprise IT teams, this creates a design challenge. Meeting-room technology must account for different room sizes, acoustics, camera coverage and usage patterns, while remaining simple enough for employees to use without technical assistance.
“The cost of getting this wrong extends beyond employee frustration. Poor audio can result in missed information; inconsistent video can limit participation; and unreliable meeting experiences can undermine the value of distributed teams. When these issues recur across an organisation, they become an operational problem rather than a peripheral facilities concern,” says Reisinger. The implication is that workplace technology decisions need to be made across IT, facilities and business teams. Standardising the experience does not necessarily mean equipping every room identically. It means ensuring that each space is fit for its intended use and delivers a predictable experience.
Why workplace AI depends on the physical layer
AI is raising the expectations placed on meeting technology. Transcription, summarisation, meeting assistants and other emerging capabilities depend on the quality of the information they receive. If speech is unclear, participants are difficult to distinguish or relevant contributions are not captured, the resulting output may be incomplete or unreliable.
This makes audio and video infrastructure an increasingly important input layer for workplace AI. The quality of the meeting experience influences not only how people communicate but also how effectively AI systems can interpret and process those interactions.
“For CIOs and digital workplace leaders, this introduces a consideration that can be overlooked when AI adoption is approached primarily as a software procurement exercise. Licensing an AI assistant does not, by itself, guarantee useful outcomes. The devices capturing conversations, the collaboration platform processing them, network performance and the organisation’s data policies all shape what can be delivered,” points out Reisinger.
It also raises governance questions. Meeting content can include commercially sensitive discussions, customer information and internal decisions. Enterprises need to determine what is captured, where it is processed, who can access the resulting records and how those records are retained.
An AI-ready workplace therefore requires more than compatible devices. It needs a technology architecture in which hardware, software, connectivity, security and governance work together.
From devices to enterprise outcomes
For Jayaseelan, the changing workplace creates an opportunity for Jabra and its channel partners to engage enterprises beyond individual device purchases. As organisations reassess their collaboration environments, partners can help identify room-level requirements, recommend suitable configurations and support deployment across distributed workplaces.
“This changes the nature of the channel opportunity. The conversation can move from supplying headsets and conferencing equipment towards solving broader collaboration challenges, including standardisation, employee experience, room readiness and integration with enterprise platforms,” adds Jayaseelan.
That shift also demands stronger implementation and advisory capabilities. Partners need to understand how different teams work, how meeting spaces are used and what the organisation expects its collaboration technology to deliver. For enterprises, this can help connect device investments to measurable workplace needs rather than treating equipment as a collection of standalone purchases.
Jabra’s Evolve3 series and PanaCast U30 are part of its response to changing workplace requirements, while its latest innovations, including Wave 2, reflect its focus on evolving video collaboration. The strategic question for enterprises is not simply which product to deploy, but how the technology fits into a wider workplace architecture and the experience the organisation wants to standardise.
India’s AI-ready workplace challenge
In India, enterprise workplace strategies must account for varied office formats, distributed teams and differing levels of technology maturity. A large conference room, a compact huddle space and an employee’s home workspace present different requirements, even when all are expected to support the same collaboration platform.
For technology leaders, the priority is to define a consistent baseline for participation, audio and video quality, manageability and security, while allowing room configurations to reflect actual use. Procurement decisions should also consider how devices can be deployed and supported at scale and whether channel partners have the expertise to maintain a consistent experience across locations.
As AI becomes more embedded in everyday work, the workplace will increasingly be judged not by the number of collaboration tools it offers, but by whether those tools can support effective interactions and produce useful outcomes.
The next phase of digital workplace transformation, therefore, is more about redesigning the physical and digital environment so people and the AI systems working alongside them can participate effectively. That begins with the often-overlooked foundations of collaboration: what the enterprise can hear, what it can see and what it can reliably capture.
