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Voxd

AI Adoption & Licence Value Review

Find out why the AI licences are not earning their place.

Find the barriers to AI adoption and identify practical improvements to your existing investment.

The opportunity

The problem we help you solve

The purchase made sense, but usage is patchy. A few people report useful results while others cannot see how the tool fits their work. Without a closer look, the next decision becomes either renewing on hope or cancelling before the value has been tested.

Voxd reviews the experience around your existing AI tools. We examine available usage information, speak to teams and look at the workflows they are trying to improve. The result is a practical view of the barriers and a prioritised plan for getting more from the investment—or changing direction.

What changes for your team

Understand the adoption gap

Separate lack of confidence from unsuitable use cases, configuration problems or limitations in the tool itself.

Target the next improvement

Focus on the actions most likely to help the team rather than repeating a general launch announcement.

Make renewal decisions clearer

Agree evidence and measures that make future value reviews more useful.

What we deliver

What Voxd can deliver

01

Usage and team review

Assess available activity information and the experience of representative users.

02

Workflow and setup analysis

Identify where tools, information or working practices are preventing useful adoption.

03

Improvement plan

Prioritise changes, ownership and measures for the next review period.

Why Voxd

We can handle the connection as well as the conversation.

Voxd’s delivery work connects AI with systems such as Microsoft 365, HubSpot and live operational platforms. We can assess the data and integration work behind a use case as well as help people use the resulting tool.

That gives you a practical route when a standard setup reaches its limits. We can configure an existing capability, build a suitable connection or recommend a separate application where that better fits the job. The choice follows the requirement and the product’s actual capabilities.

How we work

A rollout built around use, not just setup

  1. 01

    Find the practical fit

    We identify the teams and tasks most likely to benefit, then check product capabilities, licences and information requirements.

  2. 02

    Prepare the workspace

    We work with your administrators on configuration, available controls and approved sources. Connections start with a clearly defined scope.

  3. 03

    Support a real pilot

    We help staff apply the tool to everyday work, collect feedback and address the points where the setup or guidance needs improvement.

  4. 04

    Expand what works

    We turn useful pilot workflows into shared practices and agree ownership, support and measures for the wider rollout.

Before you get started

Before you get started

Can this work without detailed usage analytics?

Yes, although the evidence will differ. Interviews, task examples and a focused pilot can still reveal important barriers and opportunities.

Will the recommendation always be more training?

No. The issue may be fit, access, configuration or workflow design. Training is useful when it addresses the actual barrier.

Make a clearer decision about the tools you already pay for.

Tell us what was introduced and where adoption has fallen short.

Discuss your AI project