Torch is one platform with many ways in. These are the outcomes customers most often start with — each stands on its own, and each one compounds the others.
External hiring is one of the largest controllable costs in the business — agency fees, advertising, time-to-fill, onboarding, and the productivity dip while a stranger learns your organisation. Internal hires cost a fraction of that, ramp faster, and stay longer. The only reason organisations don't do more of it is that they can't see who's available.
Torch removes that constraint. Every open role is checked against the whole workforce first — automatically, by skills alignment — before any external recruitment spend is committed.
For organisations that want proof before platform-wide commitment, we run a defined, fixed-scope engagement:
Transformation programmes fail on capability more often than on strategy. Torch gives planning teams the evidence base: current capability, required capability, and the gap between them — by function, by location, by severity. Build-buy-borrow decisions stop being opinion and start being arithmetic.
Most learning budgets are allocated by catalogue and consumed by whoever volunteers. Torch inverts this: it identifies the gaps that matter to the business, the people closest to closing them, and the development that gets them there. Then it shows whether capability actually moved — which is the difference between training activity and training results.
Exit interviews tell the same story everywhere: I couldn't see a path here. Torch makes paths visible — real roles, real skill requirements, real development routes — for every employee, not just the ones on a talent-programme spreadsheet. When people can see a future, fewer of them go looking elsewhere for one.
Tell us the problem — we'll show you how Torch handles it, using your scenarios.
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