
[ AI Problem Intelligence ]
Find the problems worth solving. Prove what works.
01 — Why
Companiesdonotlackideas.Theylacktransparencyaboutwhichproblemsmatter,whichsolutionsexist,andwhichmeasuresactuallycreateimpact.SolutionGateidentifies,structures,andevaluatesoperationalbusinessproblemseconomically—andguidesthesolutionthroughtoameasurableoutcome.
02 — Problem space
Quality report, ticket, audit finding, Excel, e-mail: the knowledge exists — scattered across systems, departments, and heads. Nobody can reliably say what the 30 most expensive unsolved problems are.
Several plants or teams independently solve the same problem. Every duplicate solution is work paid for twice — plus the lost economies of scale of the better variant.
Prioritization follows volume or hierarchy instead of economic impact, risk, and solvability. Whoever escalates loudest wins the budget.
Unclear whether a solution already exists internally, whether suitable vendors or alternatives are available — or whether another plant solved the problem long ago.
No structured path from idea through evaluation, PoC, and business case to decision and rollout. Initiatives fizzle out between PowerPoint and pilot.
03 — How it works
Operational systems contain problem signals before anyone formulates an initiative.
Signals are condensed into structured, comparable problems.
Every problem receives an economic assessment — cost, risk, frequency.
Internal and external solutions are connected systematically.
Candidates are tested in a structured way instead of decided politically.
Decision, rollout, and actual impact remain measurably linked.
Scroll to move through the pipeline
04 — Principles
Time-to-Validated-Solution is the central metric — not the number of submitted ideas.
Problem intelligence is more valuable than idea management.
The data value emerges from connecting problem → context → solution → decision → outcome.
Works for a single customer from day one — without marketplace liquidity.