//SIGNAL

Find out where AI is helping, where it is getting in the way and what to do first.

SIGNAL is KINTAL's evidence-led AI adoption diagnostic for creative teams and organisations.

It starts with evidence from the people doing the work and looks across Culture, Workflows, Tools and Governance.

You leave with a clear view of what is working, where friction or risk is getting in the way, what matters most and a practical 30/60/90-day implementation pathway. You can take that pathway forward yourself or ask KINTAL to help through an AI Capability Lab.

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//How it works

From answers to a plan you can act on

We collect evidence directly from the people doing the work through interviews, artefact review and workflow walk-throughs. We look at what is happening in practice, not what a team imagines it might do.

We then assess the evidence across Culture, Workflows, Tools and Governance, identify strengths, friction, risks and opportunities, and prioritise what deserves attention first.

//What you get

What you walk away with

Evidence across four areas

Culture, Workflows, Tools and Governance. A grounded view of where you are now and what is shaping adoption.

Prioritised areas for action

Clear priorities based on the evidence, including what to address first and what can wait.

Suggested interventions and directions

Practical options for addressing the priorities, rather than a list of problems without a route forward.

A 30/60/90-day implementation pathway

A practical sequence for foundations, build and embed, so you know what to do first, what to develop next and what to put into regular practice.

Evidence, not opinion

Every finding is grounded in what we observed, not what we assumed.

Pricing follows the team in scope

SIGNAL is priced around the people and scope being assessed, not the total size of the company. If the work is focused on a team or department inside a larger organisation, the scope reflects that group.

This keeps the cost sensible for smaller businesses and specialist teams inside bigger companies.

If you want help putting it into practice

Implement internally

SIGNAL is designed to be useful in its own right. You can take the findings and implementation pathway forward internally.

Work with KINTAL

If you want KINTAL alongside you, an AI Capability Lab gives us a structured way to explore, challenge and refine the priorities with your team, test what will genuinely help and put useful changes into practice.

What SIGNAL will tell you honestly

SIGNAL gives you evidence, priorities and a practical route forward. It does not guarantee that every AI use case will be worthwhile or that every proposed change should go ahead. If the evidence says stop, we will say so.

Days not months, because we start from evidence.