Planning without material truth
Schedules move faster than reservations, shelf life, alternates, and incoming inspection.
AI-native manufacturing ERPTrace control / 01
Manufacturing runs on evidence.
Prakriya keeps it continuous.
One operating system for traceability-heavy electronics and pharma—from the first demand signal to the final shipment record.
- System
- Evidence-first
- AI posture
- Human-approved
- Integration
- MCP-ready
TRACE / PCB-2408-017
Illustrative data
PCB-A17
Released
Power control assembly
Customer demand SO-1842 · Rev C
01DemandApproved order
02PlanMRP pegged
03MaterialLots reserved
04BuildWO-8421 active
05QualityAwaiting test
06ShipmentEvidence pending
AI observation
Component lot L-782 has 9 hours of approved floor life remaining.
Evidence chain14 linked recordsLast event 10:42:18
Problem / 02Broken handoffs break evidence
Your factory does not have a data problem. It has a continuity problem.
Orders, material, execution, quality, and release live in different rhythms. Every handoff asks someone to reconstruct what happened.
Execution without context
Operators receive a job, but not the approved revision, deviation, or upstream risk.
Release without one trace
Quality assembles evidence after the work instead of inheriting it from the process.
Trace spine / 03One process. One evidence chain.
Every decision stays attached to what it changed.
Prakriya carries identity, status, exceptions, approvals, and provenance forward—so the next team starts with context, not a search.
- 01Signal accepted
Demand
Orders, forecasts, revisions, priorities
- 02Plan grounded
Plan
MRP, capacity, pegging, commitments
- 03Material proven
Material
Lots, shelf life, inspection, reservation
- 04Process recorded
Build
Work orders, routing, consumption, output
- 05Evidence approved
Quality
Tests, nonconformance, disposition, release
- 06Chain delivered
Shipment
Serialization, documents, customer trace
Governed AI / 04Useful before autonomous
AI that works inside the control system.
The agent reads permitted operational context, explains the evidence, prepares a bounded action, and waits for the right person to approve it.
- 01Observe
Read live operational signals and linked records.
- 02Explain
Show why the signal matters and cite its source.
- 03Prepare
Draft a reversible action within defined scope.
- 04Approve
Route consequential changes to an accountable human.
MCP integration plane
Connect agents to manufacturing context without dissolving the boundary.
Model Context Protocol servers expose approved tools and resources through a controlled gateway. Identity, scope, and audit remain attached to every request.
Approved agentsPlanner · Quality · Supply
Authenticated request
MCP gatewayIdentity · Scope · Audit
Permitted context
PrakriyaResources · Tools · Events
Industry specimens / 05Traceability changes by process
Built around the evidence your product must carry.
The core trace stays continuous. The operating details adapt to what electronics and pharma teams must control.
From approved BOM to serialized assembly.
- Revision and alternate control
- Date-code and lot traceability
- Routing, test, and rework evidence
- Serial genealogy through shipment
Typical evidence: component lot → placement → test result → assembly serial.
From controlled material to released batch.
- Status, potency, and expiry control
- Dispensing and batch consumption
- In-process checks and deviations
- Quality review and release evidence
Typical evidence: material batch → dispense → process check → finished batch.
Control / 06Designed for accountable change
Automation earns trust by showing its work.
Prakriya is designed around explicit roles, bounded actions, approval gates, and durable audit trails. AI participates in the same operating discipline as every person and process.
Book a factory walkthrough- 01 / Identity
- Every human, service, and agent acts through an attributable identity.
- 02 / Permission
- Access follows organization, role, and the scope of the requested action.
- 03 / Approval
- Consequential changes stop at an accountable review point.
- 04 / Evidence
- Inputs, decisions, and outcomes remain linked in the operating record.
The next shift can start with context.