AI Feasibility Audit
Most AI initiatives fail before they start. We tell you which initiative to back, what it will take to make it work, and whether the investment will create value.

Your teams are under
pressure to ship AI

Nobody is confident
the data can support it

You are not sure how
the market will respond
A failed AI initiative costs engineering cycles, commercial credibility, and investor confidence. Most companies cannot afford to get this wrong. The Epic+173 AI Feasibility Audit is a four-week sprint that evaluates your chosen initiative across data readiness, technical feasibility, and commercial viability, and delivers a board-ready recommendation before a single line of production code is written. The output is a single, integrated view of whether your initiative is worth building and what to do in the next 90 days.
What Good Looks Like
Fully Validated Initiatives
The most expensive AI mistake is committing engineering and commercial resources before the business is ready. We force the focus early, stress-test one primary initiative from every angle, and deliver a recommendation your board can act on before the spend begins.
- A go, no-go, or reshape recommendation backed by data and experience
- Board and investor-ready rationale with tradeoffs built in from day one
- Focused bets that prove the business case for further investment
A clear roadmap, a prioritised investment case, and £267,000+ in identified annual savings.
Data & Technical Feasibility
Your AI initiative is only as viable as the data beneath it. We assess your infrastructure, data quality, and tooling against the specific demands of your chosen initiative. You'll know exactly what you have, what you are missing, and what a build would actually cost.
- Full assessment of data quality, coverage, and pipelines
- Architecture options and a phased technical roadmap
- A clear cost estimate for your investment decision
Designing the blueprints for a three-stage matching system that replaces an unscalable, manual process
A Commercial Roadmap
An AI initiative without a GTM plan is pure R&D cost. We define the buyer, the value proposition, the pricing rationale, and the launch strategy so you have a clear route to revenue, not just a path to production.
- Buyer definition and willingness to pay assessed before you build
- Pricing rationale and competitive positioning documented
- A GTM roadmap ready to execute and scale
20% EBITDA improvement driven by redesign of enterprise pricing and packaging, replacing custom products with a tiered model that shortened sales cycles and increased revenue per customer in less than 6 months.
What We Deliver
A four-week sprint with a fixed scope, set fee, and a board-ready output at the end.
We confirm access, align on potential initiatives, and arrive at week one ready to move.
We review your ideas, run structured stakeholder interviews, and narrow to one primary initiative.
We assess your data, infrastructure, and tooling against the demands of your product idea.
We produce the GTM plan, pricing rationale, and launch strategy, designed to survive scrutiny.
An integrated deliverable covering everything. You leave knowing exactly what to do next and why.
You can choose whether to take implementation in-house or work with us going forward.
Your Collaboration With Us
Two firms. One sprint. The commercial and technical expertise to tell you whether your AI initiative is worth building before you commit to it.
Epic Advisors is a growth advisory firm that helps PE-backed companies build the commercial strategy, and GTM infrastructure to turn product investments into real revenue.
173tech is a data and analytics consultancy that helps growth-stage and enterprise SaaS companies build the data infrastructure, intelligence, and products that create competitive advantage.
A Few Case Studies
Get In Touch
Our team is always on hand to answer questions, troubleshoot problems and point you in the right direction.















































