Product and AI sprintsfor clearer decisions.

PADEMIQ helps founders, SMEs and product teams decide what to build, fix, test or stop next, especially when product direction, AI opportunity or delivery risk is still unclear.

Start with AI Start with product

PProductAIArtificial intelligenceDDeliveryEEducation

Ideas don't need more noise.They need clarity, deliveryand momentum.

What we do

Product clarityDecide what to build, fix, test or stop next.AI opportunityFind the workflows where AI is worth serious effort.MVP scopeCut the first version around what you need to learn.Practical AI trainingGive teams the understanding to make better AI decisions.

Where to start

Start with the AI decision that needs to become practical.

The main commercial front door is the AI Opportunity and Governance Sprint. Product Clarity is there when the problem is broader than AI.

Most requested right now

AI Opportunity and Governance Sprint

For teams exploring AI adoption. In 1 to 2 weeks, we identify useful workflows, compare opportunities, surface risks and hand over a practical 30 to 90 day roadmap.

See the AI Opportunity and Governance Sprint

Secondary route

Product Clarity Sprint

Need to decide what to build, fix, test or stop next? In 1 to 2 weeks, we turn a vague product problem into a clear decision, a focused plan and a next move.

See the Product Clarity Sprint

Selected work / 01–03

The work behind the outcome.

Selected projects, prototypes and product decisions. Each one shows the constraints we worked with and the choices that moved the work forward.

01 / Founder supportPrototype

PADEMIQ product

FounderUnstuck

FounderUnstuck is a founder diagnostic and expert-matching platform designed to help founders identify what is actually blocking their progress, and connect them with the right kind of expert to help solve it.

View project

02Quality and deliveryQIE: Quality Intelligence EngineQIE is an internal quality-intelligence prototype designed to help teams identify requirement problems, risks and testability issues earlier in the product delivery lifecycle. It remains UKHSA property; PADEMIQ presents it here as relevant experience, not commercial ownership.Internal View project 03AI product workUbuncareUbuncare is an AI-powered mental health and wellbeing app designed to give users a private, conversational space for reflection, emotional check-ins and ongoing support. It combines voice and text interaction with contextual memory so the experience can feel continuous over time, built around user control, privacy and trust rather than silently storing everything. It is a wellbeing support product and does not replace a therapist, doctor or emergency mental health service.Prototype View project

Explore all case studies

How we work

UnderstandGet clear on the problem, the audience and what actually needs to be true.

ShapeTurn the idea into a focused plan, priorities and a first useful version.

BuildDesign, build and ship in a rhythm the team can sustain.

ValidateTest with real users and data before betting more time on it.

LaunchPackage, position and put the product in front of the right people.

ImproveLearn from real usage and keep making it better.

BUILD THE PRODUCT.
BUILD THE CAPABILITY.

AI Product Quality & Risk WorkshopA deep-dive workshop for teams building or shipping AI features. Covers hallucinations, failure modes, RAG testing, prompt testing, red-teaming, evaluation, release gates and responsible AI practice.

From Idea to Useful ProductCovers problem definition, user need, MVP scope, prioritisation, risks and next steps.

AI Governance, Risk & Compliance PractitionerA practitioner-level programme across five frameworks: NIST AI RMF, ISO/IEC 42001, the EU AI Act, UK GDPR and COSO Internal Controls. Learners build a full AI Governance Evidence Pack using the HireAI capstone case study, working towards one outcome: knowing whether a real AI system should be approved, changed, monitored or blocked.

Explore learning

Latest thinking

Practical notes on product judgement, AI, delivery and growth.

AI & Emerging Technology

Why agentic AI needs a product owner, not just a prompt

Autonomous AI features fail for product reasons long before they fail for technical ones. Here's what needs ownership before the agent ships.

7 min read Product Strategy

Your moat is a habit, not a feature

Defensibility rarely comes from what a product does. It comes from what people have started doing because of it.

6 min read Product Delivery

Ship smaller, learn faster: what MVP actually means in 2026

MVP stopped meaning minimum a while ago. It's worth asking what your team means by it before the next release.

6 min read

View all insights

Founder and principal consultant

Built on practical product judgement.

PADEMIQ was founded by Collins Obasuyi to help teams connect the decisions that are too often separated: what to build, how to deliver it, how people learn, and how useful work finds its market.

Collins leads the work and brings in trusted specialists when the challenge needs broader expertise.

Meet Collins