The problem isn't the mandate. It's what it rests on.
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What you're working with
Adoption rates. Usage logs. Licence consumption. The dashboards every AI vendor supplies — reporting on themselves.
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What that can't show
Whether AI is actually working for the people you deployed it to — by role, by region, by the work they’re trying to do.
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What Voxxify adds
The independent operational record of how AI is landing across your workforce, segmented by the distinctions the rollout has to act on.
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We had AI live. What we didn't have was a way to see where it was actually working across the firm. The record gave us that — without slowing the rollout down.
What the independent record shows that adoption rates cannot.
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Role by role
Adoption collapses everyone into one percentage. The record separates them. Engineers want power features the tool does not expose. Admins face a blank prompt with no workflow. Partners and senior leaders use it one way; the teams supporting them use it another. The record shows each population as itself — which is where the intervention has to go.
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Region by region
AI does not land the same way in every country it reaches. Regulatory scope, data residency, and local language performance differ by jurisdiction. The adoption dashboard reports a global number. The record shows you the regions where AI is working, where it is constrained, and where it cannot be used at all — before that becomes a compliance question.
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Round by round
AI is not a single deployment that lands and settles. New capabilities arrive continuously. Each changes what the workforce is encountering. The record captures where AI is landing now — and becomes the reference point every next release is measured against. Round one shows what it is sitting on. Every round after shows whether the foundations held.
AI insights at AI speed.
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10 days
for your people to respond.
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10 minutes
for the analysis to complete.
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10 seconds
to know what it's telling you.
What the record makes possible
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Interventions land where they're needed
You don’t intervene against a global average. You intervene against the specific population where AI isn’t working — and leave the populations where it is alone.
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The rollout stays defensible under scrutiny
Board questions about AI progress stop being about adoption curves. They become about what the record shows — and what you did in response.
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The picture holds across releases
Each round builds on the last. What worked stays measured. What changed is visible. What drifted is caught before it becomes next quarter’s problem.
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We had rolled out one AI tool. Function by function, our people were quietly using a different one. That changed what we did next.
Your questions, answered
Adoption data tells you people are using AI. It does not tell you whether AI is working for them — or which populations it is failing. Adoption is an activity metric. The independent record is an outcome measure, sourced from the people using the tool, segmented by role, region, and workflow. Different input, different question, different answer.
No. A polling tool captures opinion. Voxxify produces an operational record the workforce, the vendor, and the programme team all recognize as ungameable — because none of them control it. The record can be presented to a board, an auditor, or a regulator as independent evidence of how AI is landing. A polling tool cannot do that. The distinction is not the mechanism. It is what the output is fit to do.
Round one shows you what the rollout is sitting on now — where AI is working, where it is not, and for whom. Round two tests whether the action you took on round one landed, and whether new capabilities have shifted the picture. Every round after establishes the pattern. Carbery removed a vendor on two years of consistent independent evidence. Sarah O’Connor at Musgrave governs her finance band for three years on the same record. The return is not in the first snapshot. It is in the pattern the rounds establish.
Employee experience surveys measure how employees feel. The independent operational record measures how technology is landing — segmented by the distinctions the rollout has to act on. For an AI rollout, those distinctions are role, region, and workflow. They are not the distinctions an EX programme is designed around. The record belongs with the leader accountable for the rollout’s outcomes, not the leader accountable for employee sentiment.
Three moments. Before the board asks what progress you have made beyond adoption rates. Before a vendor review where the vendor arrives with their own metrics. Before the next release lands on a foundation you have not yet independently seen. The record is most valuable when a decision is already forming — and least recoverable once it has been made on the available data.
Yes. Response rates on AI-rollout deployments are among the highest we see. Your people have opinions about a tool they are being asked to use daily. The question is whether those opinions become operational evidence or stay in hallways and Slack channels.
Definition of who to hear from and what matters most. Voxxify handles the rest. Configuration takes less than a week. No integration with your stack is required. The record is produced from the people using AI, not from the systems reporting on it.