AI strategy
Opportunity assessment and roadmap design grounded in your actual context: team composition, data readiness, and business model. We don't prescribe tools; we help you understand what's worth building and in what order.
AI & Digital Transformation Consulting
We help organisations understand what AI can realistically do for them — and build toward it without accumulating risk. From strategy and use-case discovery through to delivery and team enablement.
A fractional AI and digital transformation consultancy. We work with leadership teams and technical functions to close the gap between strategic intent and practical execution — with particular depth in media, intelligence publishing, and data-driven products.
Clowder Solutions is a fractional consultancy helping companies navigate AI and digital transformation. With a background that spans research and hands-on software delivery, we approach transformation practically, not theoretically.
We've worked with media organisations, B2B intelligence publishers and technology teams. That position, between thinking and building, is where we do our best work. We're direct about what we don't yet know and when we'll know it. We're also direct about what we can't do.
We help organisations answer three questions: what AI can realistically do for them, what it requires from their people and processes, and how to build toward that without accumulating risk.
Opportunity assessment and roadmap design grounded in your actual context: team composition, data readiness, and business model. We don't prescribe tools; we help you understand what's worth building and in what order.
Structured workshops to identify where AI creates genuine leverage versus where it adds complexity. We score for business value, feasibility, and organisational readiness — not just technical possibility.
From spike and prototype through to production-ready build. We work alongside your technical team (or as it), with a bias toward de-risking before committing to full delivery.
AI capability is only as good as the information it operates on. We assess data readiness, quality, and governance. This allows us to help teams build the structures that make good AI outputs possible.
Responsible AI isn't a checklist. We help teams identify where trust, transparency, and epistemic honesty need to be designed into the product — not bolted on as disclaimers.
The technical change is rarely the hard part. We help with change communication, adoption planning, and building the habits (brief-writing, experimentation, structured reflection) that make transformation stick.
We work in short, structured phases with explicit go/no-go points — so you're never committed to more than you've validated.
We establish what you're actually trying to solve, who's affected, and what success looks like before any tool or approach is discussed. We're direct about what we don't yet know and when we'll know it.
Options, trade-offs, and a sequenced roadmap. We apply three tests to every proposed item: which stage of capability does it belong to, does it genuinely improve how your team operates, and what does it ask users or the organisation to trust?
Prototyping or implementation support, iterated tightly. We flag deferred items explicitly, name what's been excluded and why, and don't treat a prototype as a finished thing.
Playbooks, documentation, and working sessions so your team can sustain what's been built. The measure of a good engagement is that you need us less at the end of it.
We're always looking for new opportunities to help companies navigate AI and digital transformation. If you'd like to discuss a project, please get in touch.
We prefer to demonstrate value through small engagements first. This allows us to determine best ways of working at lower risk to both parties.
If we do not believe that we are best placed to help you we will gladly introduce you to those in our network who can.