See the disruption. Choose the response. Prove the recovery.
GenuineGigs creates a shared operational model from plant systems and live events, then turns deviations into governed, role-owned recovery work.
Book a demoStart with what this person can understand, decide, and own.
Each home experience is composed for the role—from plant trajectory and major losses to assigned line checks, maintenance work, quality holds, material risks, or integration health.
The right operation for every role
Role workspacesCorporate, plant, production, maintenance, quality, purchase, stores, gate, and operators each receive a scoped view of the same operational truth.
Keep facts separate from interpretation
Operational stateExecution, performance, quality, material, source freshness, and recovery state remain independently visible so one issue cannot hide another.
Know what the shift can still deliver
ForecastingBounded trajectories combine elapsed time, observed output, current line state, downtime, and approved recovery assumptions without unexplainable jumps.
Compare realistic ways back
RecoveryRecovery options expose expected output, constraints, owners, risks, prerequisites, and confidence before a person commits the plant.
Connect material risk to production
ReadinessInventory, staging, inbound receipts, supplier commitments, inspections, and shortages show the operational consequence—not just stock rows.
Route decisions through real authority
GovernancePlant, area, line, asset, role, financial visibility, and approval scope are enforced in the API as well as the interface.
Use only approved operational knowledge
KnowledgeCurrent SOPs, quality plans, manuals, and maintenance instructions are distinguished from superseded revisions and cited in context.
Measure recovery from observed evidence
VerificationThe system verifies output, condition, quality, readiness, and sustained stability before it records a recovered outcome or learned pattern.
Understand the loss before choosing the action.
Production trajectory, operational dimensions, current recovery, loss attribution, constraints, and expected impact stay together—without pretending a machine event is already a diagnosed scenario.
Ask better questions without leaving the operation.
Gigi works with authorized plant context to explain risk, surface supporting evidence, and guide investigation. It does not replace deterministic operational state or human authority.
Current instructions in. Superseded guidance out.
Approved revisions are searchable and usable in operational context while withdrawn and superseded documents remain excluded from active guidance.
