Real previews of the three artifact types AILOS runs on — decision workflows with sample numbers, learning modules with outcomes, and the manager-side templates that turn insight into follow-through.
Decision workflows
Each modeler takes a handful of honest inputs and returns a recommendation with the math shown. Real sample values below.
Filling a role where scope may shift within 12 months.
Inputs
Recommendation
Contract for 2 quarters, then re-decide
12-mo cost delta
−$41,200 vs. FTE
Confidence
72%
Ritual: quarterly · Follow-up: re-decision date · ROI captured on close
Open live modelerJustifying an AI tool or workflow to finance.
Inputs
Recommendation
Fund · payback in 6 weeks
Net annual value
+$577,900
Confidence
84%
Ritual: pre-purchase + 90-day recheck · Follow-up: adoption survey nudge
Open live modelerA pilot has a launch date but signals are mixed.
Inputs
Recommendation
Delay 4 weeks · run a 2-week evidence sprint
Regret-weighted score
6.1 → 8.4
Confidence
68%
Ritual: at every gate · Follow-up: evidence-sprint commitment · Rollup
Open live modelerHow these fit together
The 7-min assessment gives you a 5-vector radar.
Preview above · Learning modules unlock what the radar exposes.
11 decision modelers turn ambiguity into a defensible call.
Preview above · Sample workflows above show the exact inputs & outputs.
Every insight becomes a dated commitment with a nudge channel.
Preview above · Manager templates run the weekly loop.
When you're ready
Start free with the diagnostic and one modeler. No card, no seat pressure.