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● LIVEIntroducing Supervity Autos. Hire AI Employees that run the operation.
Auto Supply Chain · Manufacturing

Plan, source, fulfill,
and expedite.
The supply chain coordinates itself.

Auto Supply Chain runs manufacturing supply chain operations end to end. AI Employees coordinate supplier collaboration, manage orders and fulfillment, expedite exceptions, and keep logistics on track. Planners stop firefighting spreadsheets and start governing a supply chain that coordinates itself.

Replaces the work of: SAP (SCM ops)Oracle SCMKinaxisBlue Yondero9manual planning sheets
Demand and supply signals turned into action.
Suppliers coordinated end to end.
Orders delivered, exceptions expedited.
Human command over the network.
85%
Autonomous finance operations at Daikin, a manufacturer
~60%
Fewer tokens per process than frontier-model agents
90 Days
To a committed AI-first baseline under ROI Assurance
Apps wait for people. Autos finish the work.

Planning software shows the plan. Auto Supply Chain runs the exceptions.

Manufacturing planning tools model the supply chain, then leave planners to chase suppliers, expedite shortages, and reconcile orders by hand. Auto Supply Chain runs the coordination and enforces policy on every exception.

The SaaS you run today

Your supply chain stack today

The Auto that replaces it

Auto Supply Chain

×Supplier collaboration is email, portals, and phone calls.
AI Employees run supplier collaboration and confirmations end to end.
×Shortages surface late and expediting is manual firefighting.
Shortages and risks are detected early and expedited under policy.
×Order and delivery status is reconciled across disconnected systems.
Order and delivery status is reconciled continuously across systems.
×Exceptions pile up faster than planners can work them.
Exceptions are triaged and resolved or escalated with full context.
×Compliance and documentation are assembled by hand at each handoff.
Trade and compliance documentation is prepared and checked automatically.
The components of Auto Supply Chain

Every part of supply chain operations, run by AI Employees

Auto Supply Chain decomposes manufacturing supply chain operations into the components a plant and its network actually run, each executed by governed AI Employees against a living supply graph.

Planning Employee

Reconciles demand and supply signals and turns imbalances into concrete actions, not just a report.

Shortage and risk detection

Detects material shortages and supply risk early from live signals across the network.

What-if support

Evaluates supply options and trade-offs so planners decide with the numbers in front of them.

Inventory posture

Flags excess and at-risk inventory against policy for rebalancing.

Supplier Employee

Runs order confirmations, ASN capture, and supplier communication end to end, replacing email and portals.

PO and schedule management

Issues and updates purchase orders and delivery schedules under policy.

Supplier performance

Tracks on-time and quality performance and flags at-risk suppliers early.

Compliance and documentation

Prepares and checks trade, customs, and quality documentation automatically.

Order Employee

Order management

Manages orders from capture to fulfillment, keeping status current across systems.

Logistics Employee

Coordinates carriers and shipments and tracks delivery against commitment.

Expediting

Expedites shortages and late orders under policy with the context attached.

Exception resolution

Fulfillment exceptions are triaged and resolved or escalated with evidence.

Policy authoring

Operations authors sourcing, inventory, and expediting rules in plain language; they take effect deterministically.

Control-tower insight

Surfaces network status, risk, and performance as Auto Insights for a live control tower.

Exception command

High-impact exceptions arrive in the Auto Workbench with full context and the applied policy for one decision.

Audit trail

Every order, confirmation, and expedite is time-stamped and queryable for audit and compliance.

End to end, not step by step

The scenarios Auto Supply Chain runs end to end

Each is a supply chain operation the Auto owns end to end, with planners on the loop for oversight and in the loop only on high-impact exceptions.

Source

Supplier collaboration

Order confirmations, ASNs, and supplier communication run end to end, replacing email and portals.

Fulfill

Shortage detection and expediting

Shortages are detected early and expedited under policy before they stop the line.

Fulfill

Order-to-fulfillment management

Orders are managed from capture to delivery with status current across systems.

Plan

Demand-supply reconciliation

Demand and supply signals are reconciled and imbalances turned into concrete actions.

Fulfill

Logistics coordination

Carriers and shipments are coordinated and tracked against delivery commitments.

Source

Supplier performance management

On-time and quality performance is tracked and at-risk suppliers flagged early.

Govern

Trade and compliance documentation

Trade, customs, and quality documentation is prepared and checked automatically.

Plan

Inventory rebalancing

Excess and at-risk inventory is flagged against policy for rebalancing.

AI does the work. Humans govern.

How Auto Supply Chain runs the operation

Every cycle runs through the four parts of an Auto. Auto Policies set the boundary, AI Employees act, humans resolve exceptions in the Auto Workbench, and each resolution deepens the Auto Graph. The operation compounds with every cycle.

The workers

AI Employees

Multi-agentic supply chain workers plan, source, fulfill, and expedite across the ERP, supplier, and logistics systems, escalating only high-impact exceptions.

The guardrails

Auto Policies

Sourcing, inventory, and expediting rules are authored in plain language and enforced deterministically before an action executes.

Human in command

Auto Workbench

High-impact exceptions arrive with full context and the applied policy. The planner decides once; the resolution trains the next cycle.

The core moat

The Auto Graph

Suppliers, materials, orders, shipments, and prior exceptions become a living per-tenant graph that sharpens coordination and expediting every cycle.

Governed through the Auto Manager Console. Every action logged, time-stamped, and auditable.
Proven in production

A manufacturer that governs operations, instead of firefighting

Daikin · manufacturer, shared-service operations

Proven in manufacturing shared services at 85% autonomous

Daikin, a global manufacturer, already runs finance operations through Supervity AI Employees at 85% autonomous across ~250,000 invoices a year on a sovereign deployment. The same Auto architecture, the AI Employees, the Auto Policies, and the compounding Auto Graph, extends to supply chain coordination.

SOC 2 Type 2 and ISO 27001 certified. Sovereign deployment on the customer's own cloud and model contracts.
85%
Autonomous finance ops (Daikin)
~250K
Invoices a year through AI Employees
Sovereign
On the customer's own infrastructure
ROI Assurance is built in

An outcome commitment, not a licence

Auto Supply Chain is deployed against a committed path to AI-first operations. Supervity keeps working at no additional cost until the milestone is reached.

30%
AI-first operations in 3 months
60%
AI-first in 6 months
80%+
AI-first in 12 months

Milestones are scoped per deal during FDE baseline scoping and subject to commercial agreement. The remedy is extended engagement at no additional cost, not a refund.

Autonomous · Always Learning · Auditable

Make supply chain operations AI-first

See Auto Supply Chain run coordination against your own network and policies in an FDE baseline scoping session.