Solutions are sequenced as an operating lifecycle, not a feature grid. For each stage: the buyer problem, what Evalio structures, the output that becomes visible, and where governance is preserved. Bounded AI prepares. Consultant review precedes the call. Clients decide. The Decision Room records the outcome.
Each stage takes governed input, returns a named output, and preserves a defined governance act. AI prepares · consultant review · client decides · Decision Room records.
Representative preview · not client data. Outputs render only after governed evidence is captured.
Reward decisions are reviewed under board pressure with no shared evidence trail.
Reward cost projections move every time finance asks a follow-up.
Reward stages are run in disconnected tools and reconciled by hand at the end.
HRBPs defend reward conversations without access to the evidence the decision was based on.
The board sees outcomes; it cannot see the evidence trail behind them.
Leveling questions escalate because the evidence behind a level cannot be shown.
Job architecture is rebuilt every reward cycle because no version is recognised as the record.
Structures are set against partial market reads and unstable architecture, then defended under audit.
Workforce decisions are made and explained on parallel tracks that never reconcile.
Leveling questions keep escalating because the role spine is contested and the rationale is hard to defend.
Captures families, streams, and a working level set; maps sample roles into a reviewable architecture; surfaces relativity gaps for consultant calibration.
Illustrative workflow — actual ordering depends on engagement scope.
Architecture changes are two-person reviewed before affecting any decision record. Scoring weights and grade-mapping logic stay protected.
Market reads, survey readiness, and source-rights live in different files and different hands; defensibility breaks at the seams.
Assembles survey readiness and source-rights checks; prepares benchmarking views per role family; routes match-quality decisions through consultant review.
Illustrative workflow — actual ordering depends on engagement scope.
Source-rights are enforced before any benchmark is rendered. No fabricated market data — representative previews only on the public surface.
Structure design and internal equity are reviewed late, then defended under pressure when the cycle is already closing.
Brings structure assumptions, range design, and equity comparisons into one governed surface; routes equity exceptions through consultant calibration before release.
Illustrative workflow — actual ordering depends on engagement scope.
Equity exceptions require consultant review before they enter a decision record. Structure changes carry a governed change log.
Merit cycles and pay-for-performance get treated as a calendar event, not as a governed decision class with a defensible audit trail.
Frames the merit cycle as a governed workflow: performance signals enter as structured input, calibration is consultant-reviewed, and exceptions carry rationale.
Illustrative workflow — actual ordering depends on engagement scope.
AI prepares scenarios and contradictions; consultant review precedes any release; the Decision Room records every approved exception.
Benefits, allowances, incentives, and offers are treated as templates, not as defensible decisions tied to evidence and governance.
Brings plan rules, eligibility logic, and offer construction into a single governed surface; routes incentive design and exception requests through consultant review.
Illustrative workflow — actual ordering depends on engagement scope.
Plan and eligibility logic are consultant-reviewed before any offer is governed-released. No autonomous offer or eligibility decisions.
Cycle cost projections move every time finance asks a follow-up; the model behind the number isn't defensible.
Captures headcount baseline and cost assumptions; runs sensitivity and scenarios in the same surface finance reviews; preserves the assumption set with the decision.
Illustrative workflow — actual ordering depends on engagement scope.
Scenario assumptions are versioned and reviewer-bound. Bounded AI prepares; consultant review precedes finance sign-off.
Leadership cannot see review state, decision rationale, and audit history in one place — defensibility is rebuilt from memory after the fact.
Seals each decision with its inputs, reviewer, executive rationale, and outcome; preserves an audit-ready trail and exposes scenario comparisons to leadership.
Illustrative workflow — actual ordering depends on engagement scope.
Decision Room never decides for you. AI prepares. Consultant review. Clients decide. The record is preserved.
AI-prepared briefings, summaries, and tradeoff comparisons live outside the decision trail — useful in the moment, invisible to the audit.
Bounded AI assists across guide, evidence, mentor, decision, scenario, and growth modes — every output prepared for consultant review and attached to the decision record.
Illustrative workflow — actual ordering depends on engagement scope.
Bounded AI · advisory only · non-autonomous · overridable. AI prepares. Consultant review. Clients decide.
Bring one role, one market read, one structure question, one cycle, or one workforce scenario into a guided review.
AI prepares the work. Consultants review sensitive judgement. Your team decides. Evalio records the rationale.