Myth Digital is an AI feasibility consultancy in Belfast and London. Our senior in-house team gives you a clear, evidence-backed recommendation on whether AI will deliver real value for your business, with a prioritised roadmap and a cost model, typically within weeks.
A feasibility study answers the question your board is actually asking: should we spend money on this? We spend a few focused weeks with our senior consulting team to test viability and outline next steps. The output is a decision document you can act on, not a slide deck that gathers dust.
Four deliverables that give you the evidence to commit, pivot or walk away with confidence.
We assess your existing data quality, access and systems. Gaps surface early. The result is a clear picture of what's ready and what needs fixing before any build starts.
We map potential AI applications against your business goals, then rank them by impact and feasibility so investment goes where it counts.
What will it cost? What should it return? Where could it go wrong? We model realistic projections for each shortlisted use case. These are numbers you can take to your board.
Most consultancies pitch a large build before understanding your problem. We start every engagement with a structured discovery workshop, run in person by our senior team at our London or Belfast office. No slide decks from a sales team. The people asking the questions are the people who'll do the work.
The workshop surfaces your highest-value use cases and maps your data landscape. It also identifies real constraints. You get a clear go, no-go or pivot recommendation, all evidence-backed and with no obligation to proceed.
A typical engagement runs across five clear milestones. You know what's being delivered at each stage.
We meet your team in person to map goals, constraints and existing systems. Everyone leaves with a shared brief and agreed success criteria.
Our specialists audit your data sources, quality and access. Gaps get flagged early so nothing stalls later work.
A ranked shortlist, not a wish list. Every candidate use case is scored on feasibility, effort and business impact.
We build cost-benefit models for the top use cases. Technical, data and organisational risks are documented alongside mitigation steps. Where assumptions are weak, we call them out.
You know AI could help but you're unsure about data, scope or feasibility. A readiness audit gives you a clear starting point.
Your leadership team wants evidence before committing budget. A feasibility report delivers the numbers and recommendation they need to move forward.
You have a feasibility study or proof of concept and need a team to design and build the production system.
A specific manual process is costing you time and money. We can assess viability fast and start building quickly if the numbers stack up.
Make it happen 
AI development 
Software development 
App development 
Discovery to deployment 
In-house UK team We've seen enough AI projects to know that enthusiasm isn't evidence. Here's how we separate the two.
Good AI needs good data. We audit what you have before recommending what to build.
We estimate the financial impact so you can make a confident go or no-go decision.
AI in the UK carries regulatory obligations. We surface them before they become blockers.
Sometimes an existing tool solves the problem. We tell you honestly when that's the case.
If you have clean, accessible data and a validated use case with clear return on investment (ROI), you may be ready to move straight to prototyping. If assumptions are untested or board approval is needed, a feasibility study protects your budget. We'll help you decide.
Not every business needs a full study. Here's a quick sense-check. We'll help you decide.
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We partnered with Elecsys Technologies from a founder's concept to build the platform that makes high-voltage safety management the easy way for wind-farm operators.
Software & Mobile App Development
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Software & Mobile App DevelopmentWe started as a small product team in Belfast. From day one, the principle was simple: the people you meet are the people who build. That hasn't changed.
Our early AI work grew naturally from data-heavy software builds. Clients needed smarter outputs, not just dashboards, so we added AI and data specialists to the in-house team.
We expanded to Shoreditch to run discovery workshops closer to London-based founders, owners and product teams. Both offices now handle in-person sessions and local user testing.
Feasibility studies and builds across healthcare, manufacturing, retail and professional services. Each sector sharpens how we assess data readiness and operational fit.
We formalised our milestone-based approach. Every engagement starts with scoping and a clear go/no-go gate before any build commitment. Clients see progress, not surprises.
A senior in-house team of engineers, designers and AI specialists running readiness audits, use-case assessments and feasibility studies end to end from our Belfast and London offices.
Each tier builds on the last. Pick the depth that matches where you are right now.
from £10,000
A focused review of your data, infrastructure and organisational readiness, delivered as a scored report with short recommendations.
from £25,000
Everything in the Readiness Audit plus use-case prioritisation, an ROI model and a go/no-go report with a milestone roadmap for next steps.
from £2,000/mo
Senior AI guidance on tap once the study is done. We help you act on the roadmap, test new use cases and keep your AI plans in step with the business.
All engagements are milestone-based with clear deliverables at each stage. Get in touch for a scoped proposal.
We structure every feasibility engagement around clear milestones, each with a defined deliverable and a go/no-go decision point. You review the output, assess the findings and decide whether to continue. There's no pressure to commit to a larger build.
Each milestone is a natural exit point or a confident step forward. You only pay for work that earns your sign-off. We've worked this way since 2015: phased delivery that keeps you informed and in charge.
Our comprehensive assessment typically takes 4-6 weeks. Timeline depends on business complexity, data availability, and scope of AI opportunities being evaluated. We provide regular progress updates and interim findings to keep you informed throughout the process.
No honest consultancy can guarantee ROI before assessing your data and processes. What we do is model projected returns, flag risks early and give you a clear go or no-go recommendation so you invest with confidence, not hope.
We start with whatever you have. During discovery we map your existing data sources, assess quality and volume, and identify gaps. You don't need a perfect dataset before engaging us. Part of the study is telling you what's missing and how to fix it.
We can, but you're never locked in. The study delivers a roadmap any competent team could follow. Many clients choose to continue with us because the same people who ran discovery already understand the problem.
A feasibility study assesses whether AI is viable and worth pursuing. A proof of concept builds a small working model to test a specific hypothesis. We often recommend the study first so the PoC targets the right problem from day one.
It helps, but it's not essential. Our team works with business stakeholders as well as technical leads. We handle the technical assessment and translate findings into language your whole leadership team can act on.
From AI strategy to full builds, our in-house team covers every stage.
