New: headcount-reduction optimization with structural-first guardrails

The decision layer between strategy and HR systems

Every reorg decision,
grounded in evidence.

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.

Orgora organization health dashboard showing 4,917 positions, an explainable health score, open data-quality findings, and active restructuring scenarios
Built forCHRO & People teamsWorkforce strategyHR transformationOrganization designFinance & planningManagement consulting

Real results — live demo environment

What Orgora computes while you watch

4,917

Positions modeled in the live demo organization

351

Data-quality findings surfaced by seventeen automated rules

3

Feasible restructuring plans returned per optimization run

<1s

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

One decision layer.
Every restructure.

Model

One governed graph

Positions, reporting lines, responsibilities, and skills — bitemporal, auditable, and searchable down to a single role.

Orgora organization health dashboard

Decide

Evidence over opinion

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

Orgora scenario studio with live impact analysis

Govern

Decisions that hold up

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

Orgora optimization workbench with confirmed constraints

The intellectual center is deterministic.

Six engines do the heavy lifting. AI extracts, normalizes, and explains — it never invents a number, approves its own recommendation, or bypasses your authorization.

Organization graph

Units, positions, reporting lines, responsibilities, and skills as one governed, bitemporal graph — every historical state preserved.

Data quality engine

Seventeen automated rules find duplicate roles, reporting loops, missing managers, and suspicious data — with suggested fixes, never silent corrections.

Job architecture & normalization

Families, levels, and profiles with evidence-based duplicate detection. Merges require human approval and land in the decision ledger.

Scenario studio

Clone the organization, restructure freely with undo and branching, and watch spans, layers, cost, and coverage recompute deterministically.

Constraint optimization

Plain-language constraints become CP-SAT models. Feasible alternatives come back explained; impossible asks come back as honest infeasibility.

Decision ledger & audit

Every recommendation carries evidence, alternatives, and risks; every action lands in an append-only audit trail nobody can rewrite.

Scenario studio

Restructure without risk.

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.

  • Branch alternatives and compare them side by side
  • Rule-based risk engine with entity-level evidence
  • Transactional apply with bitemporal history
Orgora scenario studio with a projected organization tree, per-position restructuring operations, and a live baseline-versus-scenario impact panel

Constraint optimization

Say the goal. Keep the guardrails.

“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.

  • Structural-first: vacancies and layers before filled roles
  • Every alternative lands as a comparable scenario branch
  • Named individuals are never optimization targets
Orgora optimization workbench with confirmed natural-language constraints and a feasible solver run that generated three branch scenarios

How it works

From messy export to governed decision.

01

Import

Load HRIS exports (CSV, XLSX, JSON) through a mapping wizard that validates every row and keeps full provenance.

02

Analyze

Spans, layers, overlap, coverage, and an explainable health score — computed from your data, never estimated.

03

Simulate

Model restructures in scenarios, compare alternatives side by side, and let the optimizer propose feasible plans.

04

Govern

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.

Responsibilities as first-class objects Row-level tenant isolation AI behind schema-validated outputs

See it on a real organization.

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

Talk to us.

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.

Sales & pilots

Demos on your organization, design-partner programs, and pricing.

Email sales

sales@orgora.ca

Product & support

Questions about features, the demo environment, or deployment.

Email support

support@orgora.ca