Run the full Total Rewards cycle on connected evidence — not on stitched files.
Architecture, market, structure, equity, merit, and offers operating in one workspace with one audit trail.
Where the work breaks today.
Specific failure modes Evalio is built to remove — not generic workflow noise.
Architecture, market and equity each live in different files with their own assumptions.
Merit and pay-for-performance are calibrated late, then reconciled against incomplete equity reads.
Offer decisions deviate from structure without a recorded reason.
There is no single answer to 'what evidence stood behind this reward decision?'
From intake to a sealed Decision Room record.
Each step has a named owner, a recorded artifact, and is exportable for audit.
- Define the cycle scope, modules in play, and review owners.AI prepares · Consultant reviews · Client decidesIntake
- Anchor architecture, market, structure, and incumbent evidence.AI prepares · Consultant reviews · Client decidesEvidence
- Confirm coverage, source-rights, and assumption versioning.AI prepares · Consultant reviews · Client decidesValidation
- Run benchmarking, equity, and merit on shared evidence.AI prepares · Consultant reviews · Client decidesAnalysis
- Companion surfaces contradictions across modules.AI prepares · Consultant reviews · Client decidesAI
- Calibration is recorded across modules, not module-by-module.AI prepares · Consultant reviews · Client decidesConsultant
- Reward leadership confirms the cycle record.AI prepares · Consultant reviews · Client decidesClient
- Cycle record sealed with all module artifacts attached.AI prepares · Consultant reviews · Client decidesDecision Room
The evidence Evalio needs to begin.
Only relevant inputs for this solution. Source rights are confirmed before evidence enters the workspace.
Current role descriptions across the population in scope.
Scope, accountability, and family mapping per role.
Cleared market evidence with source-rights confirmed.
Current structure or design assumptions for the cycle.
De-identified incumbent records for the population in scope.
Cycle policy, exception rules, and equity stance.
Approved cycle envelope and carve-outs.
Total Rewards cycle record
Representative output structure. No salary numbers, percentiles, scores, weights, or thresholds are exposed.
Companion connects modules so reward operations stops reconciling.
AI prepares cross-module readouts, surfaces contradictions, and drafts narratives. The Reward leader and consultants remain the deciders.
Reconciles role evidence against market reads.
Flags internal equity exceptions that conflict with structure of record.
Drafts merit and offer narratives for consultant calibration.
Tests scenario impact across the full cycle, not module by module.
Run your next reward cycle on one record.
What this engagement looks like — before you commit.
Two governed previews of what you would receive: the Decision Room artifact, and the report cover that wraps it. Structure only — no client data is shown.
Total Rewards cycle record
Report cover · Solutions · Total Rewards
Methodology mechanics — scores, weights, thresholds, formulas — stay protected.