The decision layer between strategy and HR systems
Orgora models the organization you have, simulates the one you need, and governs the path between them — before anything changes in Workday or SuccessFactors.
A 5,000-position synthetic enterprise, seeded with real-world mess. No signup.

Real results — live demo environment
Positions modeled in the live demo organization
Data-quality findings surfaced by seventeen automated rules
Feasible restructuring plans returned per optimization run
To recompute cost, spans, layers, and coverage after an edit
Measured in the seeded demo — every number on this page comes from the running product, not a projection.
The Orgora platform
Model
Positions, reporting lines, responsibilities, and skills — bitemporal, auditable, and searchable down to a single role.

Decide
Sandbox scenarios, deterministic deltas, and a CP-SAT optimizer that respects the guardrails you set in plain language.

Govern
Approval chains, an immutable decision ledger, and an append-only audit trail behind every organizational change.

Six engines do the heavy lifting. AI extracts, normalizes, and explains — it never invents a number, approves its own recommendation, or bypasses your authorization.
Units, positions, reporting lines, responsibilities, and skills as one governed, bitemporal graph — every historical state preserved.
Seventeen automated rules find duplicate roles, reporting loops, missing managers, and suspicious data — with suggested fixes, never silent corrections.
Families, levels, and profiles with evidence-based duplicate detection. Merges require human approval and land in the decision ledger.
Clone the organization, restructure freely with undo and branching, and watch spans, layers, cost, and coverage recompute deterministically.
Plain-language constraints become CP-SAT models. Feasible alternatives come back explained; impossible asks come back as honest infeasibility.
Every recommendation carries evidence, alternatives, and risks; every action lands in an append-only audit trail nobody can rewrite.
Scenario studio
Every scenario is a sandbox over a frozen baseline: move teams, eliminate vacancies, merge units, and transfer responsibilities with full undo. Impact on cost, spans, layers, and critical coverage recomputes on every edit — and the live organization never changes until an approval chain signs off.

Constraint optimization
“Reduce headcount 10%. Preserve 98% of critical responsibilities. Keep manager spans between 4 and 10.” Orgora turns plain language into structured constraints you confirm, then a CP-SAT solver returns distinct feasible plans — or tells you honestly why your constraints conflict, and what to relax.

How it works
Load HRIS exports (CSV, XLSX, JSON) through a mapping wizard that validates every row and keeps full provenance.
Spans, layers, overlap, coverage, and an explainable health score — computed from your data, never estimated.
Model restructures in scenarios, compare alternatives side by side, and let the optimizer propose feasible plans.
Route changes through approval chains, apply them transactionally, and keep the complete decision history forever.
“Design the organization before deciding the pay.”
Orgora deliberately is not a compensation platform. No salary recommendations, no pay-equity modeling, no merit planning — cost lives at the position and aggregate level, where organization design decisions actually happen. Your compensation stack keeps doing its job; Orgora decides what the organization should look like first.
The live demo seeds a 5,000-position enterprise with intentionally messy data — so the quality engine, overlap analysis, and optimizer have something real to find.
Contact
Whether you want a guided walkthrough on your own data, a design-partner pilot, or have a question about the platform — a real person reads every message.
Demos on your organization, design-partner programs, and pricing.
Email salessales@orgora.ca
Questions about features, the demo environment, or deployment.
Email supportsupport@orgora.ca