Most companies run AI as a scatter of pilots, licenses and ideas with no single owner. Marina puts the whole AI operating system in one place: what AI is in use, which ideas are in the queue, who owns each decision, how the roadmap is tracking, and what all of it is costing and returning.
Updated October 2026
Marina is Clustr Innovations' dashboard for running an AI operating system. It keeps an inventory of every AI tool with an owner and risk tier, runs intake and triage for new use cases, tracks the transformation roadmap, names who is accountable at each tier, measures adoption through to business value, and reports AI spend and ROI to executives and the board.
| Built for | CIOs, CFOs, COOs, the AI Council and the team that runs the AI program |
|---|---|
| Organized by | The AI Operating System: Govern, Measure and Grow, joined by an eight-step decision flywheel |
| Govern | AI inventory with owner, data access, risk tier and status for every tool, sanctioned or discovered |
| Intake and triage | One queue for new use cases, from submission through specialist review to council decision |
| Roadmap | Phases, quarterly milestones and workstreams, each with a named owner |
| Accountability | Four tiers: Executive, AI Council, AI Leads per function, and Champions, each with a mandate and time budget |
| Measure | Three levels per deployment: adoption, workflow change and economic value |
| Finance | AI spend by vendor, tool and agent, a productivity ROI calculator, and a business case for each use case |
| Board reporting | Executive cockpit and a quarterly AI value and ROI report |
Marina covers the full cycle every AI investment moves through: it is identified and triaged, approved with a named owner, scheduled on the roadmap, measured once it is live, and funded or retired based on what it returns.
Every AI investment moves through eight steps: identify, prioritize, submit, approve, build capability, designate owners, deploy and review. Marina shows how many items sit at each step and who decides there.
The AI inventory registers every tool and pilot, including AI nobody formally approved, with its owner, function, data access and risk tier, so the AI Council governs from facts.
New use cases arrive from workshops and Champions into one queue. The board moves each one from awaiting triage to specialist review, council scheduling and approval, with risk tier and execution path attached.
The transformation roadmap runs Foundation, Activate, Scale and Sustain phases with milestones and tasks. Each workstream has a named owner, and the four-tier structure defines who sets direction, who triages and who carries the work.
Each deployment is measured at three levels: is the tool being used, is the work actually changing, and is it delivering business value. Most programs stop at the first.
AI spend is tracked by vendor, tool and agent against the value it is producing, with savings to recover. Calculators model productivity ROI across the workforce and a business case for each use case, and the quarterly report shows what to fund or retire.
Marina gives leadership one place to see and run the AI program, and gives the people who run it the working tools: inventory, intake board, roadmap, accountability map, spend view and ROI calculators.
Portfolio at a glance: what is in production, intake queue depth, roadmap progress, risk register, Champions designated and value realized.
Every AI tool with owner, purpose, data access and risk tier, including shadow AI that was never formally approved.
Use cases from workshops and Champions, routed through triage, specialist review and council decision, each with a risk tier and execution path.
Phases, quarterly milestones and multi-year workstreams with owners, deliverables and status.
The four tiers of the operating system, each with a mandate, a time commitment and the named people who hold it.
Spend by vendor, tool and agent against value, a productivity ROI model across the workforce, and a business case builder with payback and 3-year NPV for each use case.
Ties each live initiative to its baseline and shows the value realized, so the board sees returns, not a list of pilots.
Updated October 2026
An AI operating system is the minimum structure an organization needs to direct, govern and get value from AI: an inventory of what is in use, a route for new ideas to be triaged and approved, named owners at each level, a roadmap, and measurement that reaches business value. Marina is the dashboard that runs it.
Start with an inventory: register every AI tool and pilot with an owner, a purpose, the data it touches and a risk tier, including tools teams adopted on their own. Then route every new use case through one intake process with council approval. Marina provides both the inventory and the intake board.
Through one queue. Each idea is submitted with its owner and expected value, triaged for risk and fit, reviewed by specialists where needed, and decided by the AI Council. Marina's intake board shows every use case's stage, risk tier and execution path in one view.
Per initiative, against a baseline. Record the KPI each AI use case should move before it goes live, track adoption, workflow change and that KPI afterwards, and compare value with what the tool and program cost. Marina does this per deployment and rolls it up into a quarterly report.
Acro builds the business case for a use case before it is built, and that expected value becomes the baseline Marina tracks. SINA measures whether people can use AI well and designates Champions, who appear in Marina's accountability structure and feed its intake queue.
Organizations running several AI initiatives at once, typically with 1,000 or more employees, where leadership needs one accountable view of what AI is in use, who owns it, how the program is progressing and what it is returning.
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