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Tracks code & system health against tech KPIs. AI uses data for fine-tuning and implementing predictive improvements to ML model
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tracks technical excellence. AI co-pilot evaluates performance and takes preventative measures/ provides recommendations to improve
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tracks Impact & learning velocity of orgs & teams , hypotheses tested & validated, continuous improvements completed
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looks at team productivity. AI takes learnings from top performing teams to scale across org where appropriate
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Dynamic Security & Governance dashboard to track & alert on threats , risks, governance
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Measures financial health of org, projects. Integrates with ERP for real-time funding allocation & value insights and budget tracking
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Strategic dashboard for execs to plan, track and manage goals, strategy and priorities based on real-time signals. AI assisted for insights
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Marketing dashboard measures customer acquisition/ attrition lifetime value, marketing performance and impact on ROI
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Tracks how well AI is enabled, its impact, performance, efficiency savings and opportunities for enhancements
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Experiment hub Tracks progress and success of rapid hypotheses experiments, simulations of 'what-if' scenarios. AI recommendation analysis
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Manually add a backlog item from any dashboard, based on insights. Complimenting the AI-generated backlog draft
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Tracks data quality and health. Reviews ML performance and insight generation. data used to fine-tune models to continually improve
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Dynamic Market analysis and strategic threat/ opportunity scoring to assist decision making and scenario modelling
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Prioritised backlog view linked to JIRA/Notion shows all work. Directly linked to strategic goals/ impact. AI generated, human validated
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Drill down into any backlog item to track against KPIs and impact of each item
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Personalised insights based on role, linked to strategic priorities. Reports are downloadable and insights available via co-pilot
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AI co-pilot availabe throughout site that is context and role aware. Will provide analysis, insights into relevant stats, plans etc
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Engineering linked to strategic goals and initiatives. SO every piece of tech work is aligned to value
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Product Strategy dashboard to track prioritised development & delivery. AI assisted for real-time analysis & risk mitigation. +JIRA/Notion
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Product strategic alignment and Impact dashboard against key product kpis
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AI assisted What-if scenario simulator. takes in all market and org signals to help simulate any alternative scenario
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Product Prioritisation dashboard. AI powered priority recommendations, human validated. AI explains rationale, human queried and confirmed
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Dynamic Product Insights dashboard. highlighting real-time opportunities & threats with co-pilot assistance
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Product strategy dashboard for tracking delivery, learning velocity etc
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Product Impact & outcome mapping dashboard. Showing which features are driving most value and impact across each user base
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Hover over any elements on dashboards to get breakdown and analysis of what each vector and value means for org / user (based on role)
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Integrates directly with organisations stack and works in harmony with existing workflow & processes
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customer dashboard, showing organisation and product specific customer metrics & analysis. AI generated insights from feedback & sentiment
Inspiration
As a Product Leader I have become increasingly frustrated with the lack of visibility, siloed tooling and data available to product and development teams, with either a lot of lost effort without shipping features or shipping to only demise services a year later. Organisations need a framework that is adaptable with lean learning, and resilience that can handle uncertainty and market disruption, which is so prominent in the real-world we live in today. Existing tools and KPIs work well with certainty which drives a 'we've started so we'll finish mentality' to hit targets that do not equate to customer or business value.
What it does
ADAPT provides a unified AI-augmented framework that enables smarter decisions and scaling, leaner investments, and stronger alignment between strategy and execution. It redefines value delivery by shifting from process-driven velocity to intent-led, learning-first impact delivery execution.
- Every initiative is framed as a problem-to-solve/ impact-to-deliver, not a feature to ship
- Teams operate as mission-driven dynamic networks supported by AI co-pilots.
- Signals are constantly measured and hypotheses validated to ensure focus is on delivering the most value and impact, and identifying risks/ opportunities as they arise. ## How we built it Bolt FE, supabase DB layer with Agentic AI backend
Challenges we ran into
logon and auth was an issues - every time we enabled logon with RBAC controls we had issues. Had Initially with the server not starting then BOLT app failed to load - this happened a LOT - wasting loads of time and ended up having to debug in browser developer console - so not great for non-techie person Then got messages that the app was too large due the size of the chat context window so had to duplicate the app to clear down chat, but that meant that we had to redeploy to a new URL which was not ideal. But at least we could continue. - had to do that a few times :( without any alternatives to reduce size of app Integration was the largest challenge Building in animations and graphics on FE was still challenging
Accomplishments that we're proud of
The FE journey and the interface The amount we can accomplish as a novice non-tech person delivering something is pretty awesome. If you have a good vision of what you want i think the world is opening up a lot !
What we learned
Things are way easier to build now and the AI assistants are hugely beneficial to building fantastic prototypes, but we are still on a journey to actually make vibe coding truly usable from a non-tech persons perspective as as soon as we need integrations or downstream systems there is still friction in the journey. If there were AI agents that worked between systems that could help with integration and providing more complex prompt structures for FE animations that would be great.
What's next for ADAPT
Testing it with a real pilot next to validate all integrations and real data then We want to take it world-wide, we want it to be the future of how companies manage their products and delivery for any industry, anywhere.
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