Product Operating Model
The Product Operating Model AI Studio
Smart tools and AI agents that fit into each phase of product development — from discovery and planning through delivery and iteration.
Core Capabilities
Four pillars that drive smarter product development.
AI Agents and Tools
AI-powered tools that help coach and guide your team through the product development lifecycle. Product upskilling at scale.
Connected Data
Bring together analytics (Amplitude, Google Analytics), delivery tools (Jira, Linear), and customer insights into feedback loops from discovery to launch and back.
AI-Assisted
Highlight the right issues when they matter. AI agents use your data to offer context-aware guidance instead of generic advice.
Flexible Deployment
Use as SaaS, run privately in your own environment, or plug specific tools into existing platforms (e.g. Microsoft Copilot).
AI across your product lifecycle
AI across your product lifecycle
We apply AI agents and tools across the full product lifecycle — explore, discover, deliver, and measure. Everything is connected: your core objectives and value drivers flow through the whole system.
Core objectives feed into intake so work stays aligned to what matters. Architecture and team design follow the same objectives, keeping strategy, execution, and structure in sync. AI supports each phase with the right agents and tools — no silos.
Explore
Activities
- Stakeholder interviews & workshops
- Market & competitor analysis
- Pain point & opportunity mapping
- Define vision & goals
Artefacts
- Opportunity canvas
- Journey maps
- Problem statements
AI
Summarise interviews & research at scale, surface recurring themes, draft journey maps from transcripts, generate opportunity hypotheses
Discovery
Activities
- Prototype & experiment
- User testing & validation
- Co-create solutions
- Prioritise by evidence
Artefacts
- Validated problem statements
- Prototypes & mockups
- Discovery backlog
AI
Generate UI prototypes & copy variants, analyse usability feedback, extract pain points from interviews, prioritise opportunities against metrics
Continuous Delivery
Activities
- Build & ship in small increments
- Run A/B tests & feature flags
- Continuous discovery in parallel
- Implement AI enablement
Artefacts
- Working software & releases
- Delivery playbooks
- Updated backlog
AI
Assisted coding & code review, test generation, content & localisation variants, incident triage, feedback summarisation
Measure & Iterate
Activities
- Define & track outcome metrics
- Review leading & lagging indicators
- Retrospectives & backlog updates
- Decide: iterate, pivot, or stop
Artefacts
- Dashboards & reports
- Improvement backlog
- Outcome reviews
AI
Automate reporting & metric summaries, detect anomalies & suggest root causes, cluster feedback by theme, predict churn & conversion trends
Ready to Transform Your Product Team?
Find out how the Product Operating Model AI Studio can speed up your team’s delivery and improve decision-making.