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A 4-6 week product, UX, and engineering assessment for founders who used AI-assisted tools to build fast and need to know exactly what stands between prototype and production-ready.
Trusted by 150+ companies worldwide to deliver exceptional digital products
Specno embedded into our sprint cadence within the first week and maintained delivery velocity through a senior leadership transition. The framework upgrade shipped with zero downtime and configuration that used to require engineering tickets is now self-service.
Engineering Manager
Raptor Technologies
The quality of Specno's work was exceptional. They looked at the design differently, presented it to us, and proposed solutions that were an additional bonus of items we hadn't thought of at that particular stage.
Product Owner
Ackermans, Pepkor Group
Specno ran the full journey from discovery and user research through to final UI rollout. They mapped every user flow, tested at multiple stages, and rebuilt onboarding from scratch. Daily active users went up and churn came down.
Head of Digital
Ampath
Your app looks and behaves like every other AI-built solution in your category. The builder assumed a generic user flow. Your real users follow a different one. Nobody has mapped the gap.
Hardcoded logic. Missing error handling. Authentication gaps. Database patterns that work with 10 users and fall over with 1,000. These problems are invisible from the front-end until something breaks that you can't undo.
Security is whatever the tool generated by default. Integrations haven't been tested under real conditions. Monitoring doesn't exist. You don't know what you don't know, and the cost of finding out in production is rebuilding with users watching.
We walk every key user flow and map it against the real-world workflow your users actually follow. Where the interface creates unnecessary friction, where the experience feels like a template rather than a product built for your specific users. Every finding documented with annotated screenshots.
We map what talks to what, how data moves, and where the stability risks sit. For AI-built products, this usually surfaces problems invisible from the front-end: hardcoded logic, missing error handling, database patterns that fail under real load. Not just the code. The environments, the deployment, and what happens when something fails.
Every issue classified by severity and tied to business impact. Not "this code is messy" but "this sync pattern means user data can be lost under poor connectivity." A single register: what's broken, what's risky, what's slowing you down, and what it costs if you don't fix it.
Security posture. Performance under the load patterns your business model will actually generate. Data integrity. Integration reliability. Monitoring and error visibility. Every gap between working prototype and product that holds up when real users show up.
UX findings pack with annotated screenshots and evidence per system
System architecture map showing how your product actually works end-to-end
Prioritised risk and technical debt register, classified by severity, tied to business cost
Security and reliability assessment identifying where real exposure exists today
Rebuild vs. refactor recommendation with reasoning for each major component
Sequenced stabilisation roadmap: what to fix first, second, third, with effort estimates and dependencies
A clear, budgetable scope for getting this product production-ready
A Product Strategist covers design, UX, and user flow audit. A Full Stack Developer covers architecture, security, performance, and technical debt. Both in regular alignment with your team throughout the engagement.
Design, UX, and user flow audit
Architecture, security, performance, and technical debt
No build commitment.
Findings surface early, not at the end.
The output is yours to take wherever you want.
If the findings point to a build phase, the assessment feeds directly into a Prototyping Sprint or Launch Pod.
No pitch deck. No obligation. No follow-up spam.