There is a familiar frustration building inside enterprise IT departments, one that tends to surface quietly during post-incident reviews and escalate loudly when a senior executive has a bad call.
The scenario plays out with enough regularity that most collaboration engineers could describe it without prompting. A call degrades mid-session – audio breaks up, video pixelates, the screen share stalls – and by the time the complaint reaches the help desk, three separate teams are already preparing to explain why it wasn’t their fault.
The collaboration team pulls up the Zoom analytics portal and finds nothing obviously wrong. The network team checks the WAN monitoring tool and sees clean throughput. The endpoint team confirms the laptop driver is current and the Wi-Fi signal was strong.
Individually, each of those answers is technically accurate. Collectively, they are useless, because the root cause of the degraded call lives not within any of those systems but in the space between them – a gap that none of the dashboards in question were designed to illuminate.
This is the central operational headache of the modern enterprise collaboration stack, and it is getting harder to ignore as hybrid work cements the multi-vendor environment as the default rather than the exception.
The Stack No One Planned
The hybrid workplace did not arrive with a coherent architecture document. It accumulated.
Microsoft Teams became the default for internal messaging because it came bundled with Microsoft 365 and the procurement decision had already been made. Zoom became the preferred tool for external meetings because clients were already on it and asking people to switch was more friction than it was worth.
Cisco and Poly hardware stayed in the conference rooms because ripping it out was a capital expenditure nobody wanted to justify.
Webex persisted in the regulated divisions because compliance teams had signed off on it years ago and were not in any hurry to revisit the paperwork.
The result is a collaboration stack that functions well enough for the people using it but is extraordinarily difficult to manage for the people responsible for keeping it healthy.
Each platform ships with its own analytics console, and each console was built to serve that vendor’s support and product teams – not to provide a coherent picture of what is happening across a stack the vendor had no hand in designing.
As Shailesh Manjrekar, Chief Marketing Officer at Fabrix.ai, puts it: “Most enterprises running hybrid work today have a collaboration stack that works well for users, but the teams that manage these tools are struggling to keep the system healthy. Teams for internal messaging, Zoom for external meetings, and Webex for conference rooms – each with its own analytics console – tell you what happened at their layer, but none of them gives you the complete picture.”
When something goes wrong, that fragmentation turns a diagnostic problem into a coordination problem. Network teams point to the application layer. Collaboration teams point to the WAN. Endpoint teams point to the device. The finger-pointing is not necessarily dishonest – each team is accurately reporting what their tools show – but it is operationally catastrophic when a critical incident is live and leadership is waiting for an answer.
Mean time to resolution climbs not because the data does not exist, but because nobody has assembled it into a single coherent view.
“Rising MTTR is not a new observation,” Manjrekar notes, “and remains unresolved in most UC environments because the answer requires visibility that no single vendor has an incentive to provide.”
That structural point is important and tends to get lost in conversations that frame this purely as a tooling problem. Better tools help, but the deeper issue is that every major UC vendor has a commercial incentive to present their own telemetry favourably.
Their dashboards are built to support their customers, yes – but they are also built to support their own support teams, and those two objectives do not always point in the same direction.
Asking Microsoft whether your Teams call quality issue originates in the Microsoft tenant is not a neutral inquiry.
The Case for a Neutral Layer
The market response to this problem has been the emergence of third-party observability platforms – vendors including Vyopta, IR, Nectar, and Martello – that position themselves above the individual UC stack and aggregate telemetry across all of it.
The value proposition is straightforward: if no single vendor has an incentive to give you the complete picture, you need a platform that has no stake in any of them.
What makes these platforms operationally meaningful is not simply that they consolidate data from multiple sources into one interface. Any competent integration could do that.
The genuine capability is cross-domain correlation – the ability to connect collaboration telemetry, network performance, endpoint state, and application health into a single analytical layer and draw conclusions across all of them simultaneously.
When a Zoom session degrades, a properly instrumented observability platform already knows whether the likely cause is a WAN segment, a QoS misconfiguration, or an outdated endpoint driver, because it has visibility into all three at once.
Manjrekar describes the distinction in terms that cut through a lot of vendor noise on this topic: “This is what unified observability looks like in practice. Not another alert feed. A context engine that can reason across domains before the investigation even begins.”
That framing matters because alert fatigue is already a genuine problem in enterprise IT environments, and the instinctive response to visibility gaps – adding more monitoring tools – can make things worse rather than better if those tools are not architecturally integrated. The goal is not more data. It is better context, delivered faster, in a form that reduces the number of coordination cycles required to identify a root cause.
For IT teams currently working through mid-year planning, the business case is increasingly quantifiable.
Enterprises that have deployed independent observability layers alongside their UC stacks report meaningful reductions in time-to-resolution for collaboration incidents, and the mechanism is not mysterious: fewer handoffs between siloed teams, faster root cause isolation, shorter outage windows, lower operational cost per incident. The investment in neutral visibility pays for itself in incidents that do not become major ones.
The Compliance Dimension
The visibility problem does not stop at operational performance metrics, and for a significant portion of the enterprise market, it is the regulatory dimension that sharpens the urgency most acutely.
In financial services, healthcare, legal, and pharmaceuticals, the multi-vendor collaboration stack creates a category of risk that is harder to quantify than MTTR but potentially far more consequential – because regulators are not interested in which vendor’s dashboard showed clean data when a non-compliant communication took place on a personal device.
The proliferation of communication platforms has made the perimeter of regulated communication almost impossible to enforce through policy alone.
Employees communicate where it is convenient and where the friction is lowest, which increasingly means consumer applications, personal devices, and channels that were never designed with enterprise compliance in mind.
Deals get discussed on WhatsApp. Advice gets given over a personal phone number. The official communication record shows a clean audit trail because the actual conversation happened somewhere else entirely.
Ananth Siva, CEO of Movius, describes the challenge in terms that will be immediately recognisable to anyone who has sat through a compliance review in a regulated industry: “The increased use of multiple communication platforms within organisations presents the challenge of managing the flow of information and ensuring it is recorded and secure according to industry regulations. Rather than trying to force everyone to use one platform, companies need to adopt tools that align with how work actually happens.”
The instinct to consolidate – to mandate a single approved platform and enforce it through policy – is understandable but increasingly ineffective. Enterprise communication has become too distributed, too contextual, and too user-driven for top-down standardisation to hold at scale.
The more realistic path, Siva argues, is to build compliant infrastructure around the channels employees already use, rather than trying to redirect behaviour toward channels the compliance team prefers.
“Companies should adopt solutions that can be embedded in the communications channels already in place,” he says, “that will ensure communication is addressed in a uniform and controlled manner. This makes the path to compliance and visibility the easiest and most natural one.”
The Next Frontier: Agents in the War Room
If cross-domain observability represents the current state of the art in multi-vendor UC management, what is emerging at the frontier is something considerably more ambitious – AI agents that do not simply correlate data across platforms but actively participate in the process of resolving incidents in real time.
Fabrix.ai has built a capability it calls Agent Collab, an AI-powered digital worker that joins live meetings on Teams, Zoom, Webex, and Google Meet as an active participant. The distinction from the wave of AI meeting tools that have flooded the market over the past two years is significant. Where most of those tools transcribe conversations and generate summaries, Agent Collab is designed to act on them.
Manjrekar describes the scenario that makes the value concrete: “When a P1 incident triggers a war room call, the Fabrix NetOps agent joins the meeting, listens for invocation, and when an engineer says ‘Hey Fabrix, run RCA on incident CFX-202604020688’, it retrieves the incident record, correlates related alerts, checks syslog and SNMP data, identifies the fault, and surfaces a structured root cause report directly in the meeting chat, in under a minute. The team makes decisions on live data without pausing the conversation or waiting for another team.”
The operational significance of this is easy to understate.
The cost of a major incident is not just the duration of the outage – it is the accumulated time of every engineer in the war room waiting for someone else to pull data, interpret it, and bring it back to the conversation.
Every cycle where the call goes quiet while someone shares their screen and digs through a monitoring tool is time the incident is not being resolved. Agent Collab compresses that cycle to near zero by bringing the intelligence into the room where the decision-making is already happening.
Manjrekar is precise about what the technology is actually solving: “The gap in collaboration observability has never really been data availability. The data does exist. The gap is in assembling the right context under pressure, fast enough to be useful. Embedding agents inside the collaboration session itself closes that gap at the source.”
For ITOps teams supporting multi-vendor UC environments, the vendor-neutrality of the approach is as important as the speed. The same correlation logic applies across Teams, Webex, legacy and modern room systems, and any underlying network architecture – SD-WAN, MPLS, or standard broadband.
The agent does not privilege any vendor’s telemetry or optimise for any vendor’s preferred root cause narrative. It reasons across the full stack, which is precisely what the native dashboards cannot do.
A Different Kind of Operating Model
The thread connecting observability, compliance, and agentic resolution is consistent: the multi-vendor UC environment is not a problem that consolidation is going to solve, and the enterprises that manage it most effectively are the ones that have stopped waiting for it to.
The stack is what it is. Teams, Zoom, Webex, Cisco, and whatever comes next will continue to coexist inside large organisations because each serves a purpose that the others do not fully replace, and the organisational inertia behind each of them is substantial.
Native vendor dashboards will continue to improve, and vendors will continue to add cross-platform analytics capabilities to their roadmaps. But the structural incentive problem does not disappear because the dashboard gets a new interface.
The enterprises closing the visibility gap are doing so by treating the neutral observability layer not as a nice-to-have that sits alongside the vendor tools but as the primary operational interface – the system of record for collaboration health, compliance, and incident response.
Whether that takes the form of a traditional third-party monitoring platform, a compliance overlay like Movius provides, or an AI agent embedded directly in the incident call, the underlying logic is the same: vendor-neutral visibility, built above the stack, is the only kind that can actually see the whole board.
As Manjrekar puts it: “The era of passive monitoring is over. The future lies with digital workers who actively participate and deliver results.”
For IT teams heading into the second half of the year carrying a hybrid stack, a compliance obligation, and a mandate to bring MTTR down, that future is not as distant as most vendor roadmaps might suggest.
