Anvaya
anvaya - connected sequence, unbroken lineage
Every order traced from raw material to finished unit, in one genealogy view.
Anvaya is the execution and traceability layer of the production portfolio. Where Niyojan plans the network and Sankalp replans it under disruption, Anvaya governs what actually happened on the floor: it schedules and tracks each order, records the genealogy of every unit built, and lets a quality team walk that lineage in either direction. During a recall it turns we think it is fine into we know exactly what is fine.
Workflow
Problem
Manufacturers can schedule an order but cannot prove what went into it. When a defect surfaces, tracing affected units means days of spreadsheet archaeology while the recall widens.
Outcome
Bidirectional traceability across every serial, lot, and order, so containment during a recall is a filtered query rather than an investigation.
01
Track the order
Every order, lot, and serial is tracked against the committed schedule as it moves through the plant.
02
Record the lineage
Material consumption and process steps are captured as a genealogy graph rather than as disconnected transactions.
03
Surface the bottleneck
A live timeline compares planned against actual so delay is visible while there is still time to act.
04
Contain on demand
When a defect is found, the affected population is isolated by lot, supplier, or process window and exported as a containment plan.
Modules
Live Production Timeline
Schedule and actual run side by side, so bottlenecks surface before they become late shipments.
Bidirectional Genealogy
Raw materials in, finished units out, resolved into one lineage for any serial or lot.
Recall Containment
Population-at-risk isolated by lot or supplier, with a containment plan exportable in one step.
Shop-Floor Execution
WIP queues, cell status, and order progress tracked against the committed plan.
Representative use cases
Shop-Floor Bottleneck Prevention and WIP Queue Control
A high-mix, medium-volume industrial equipment manufacturer produces heavy hydraulic manifolds and valve block assemblies for mining and earthmoving machinery. Their plant operates across six discrete production stages: CNC machining, deburring, ultrasonic cleaning, valve spool fitting, high-pressure hydraulic testing, and final painting. The plant handles dozens of concurrent customer orders with strict delivery windows and contract penalties for late delivery.
Multi-Tier Product Genealogy for Aerospace Subsystems
A Tier-1 aerospace supplier manufactures electromechanical flight-control actuators, integrating precision machining, surface treatment, multi-layer printed circuit board assemblies (PCBAs), and structural wire harnesses. Each completed actuator must comply with AS9100 safety and quality standards, requiring 100% verifiable component provenance across all assembly levels.
Instant Recall & Targeted Population-at-Risk Isolation for Medical Devices
An ISO 13485-certified medical device manufacturer produces portable patient monitoring units containing sensitive microprocessor boards and rechargeable lithium power modules. Production involves high-volume SMT PCBA assembly followed by multi-stage device integration and burn-in testing.
Root-Cause Isolation via Bidirectional Traceability in Industrial Automation
A manufacturer of industrial Variable Frequency Drives (VFDs) and power control modules produces high-voltage power conversion units for water treatment facilities and automated factory floors. Each drive undergoes rigorous end-of-line electrical testing before field installation.
Serialization Compliance for Regulated Medical Device Production
A medical device manufacturer must maintain unit-level serialization and device history records across three production lines to satisfy regulatory requirements.
Isolating a Supplier Lot Defect Before It Reaches Finished Goods
A manufacturer receives notification from a supplier that a specific material lot may be out of specification, after that lot has already entered production.
Evidence
What Wayam can show for this entry
Curated solution design with an owner and a review date. No performance or production claim.
Allowed claims at this tier: Possible workflow, typical stack, prerequisites.
- Evidence tier
- T4 · Reference pattern
- Integration status
- Typical enterprise system
- Metric status
- Scenario only
- Evidence owner
- Not yet attached
- Validated
- Not yet attached
- Valid until
- —
- Content version
- 2026.09
Pending evidence attachment
This entry represents an enterprise architectural reference pattern. Customer benchmarks, run replays, and metric verifications are established during technical discovery.
Limitations
- Headline metrics are representative until a customer result is attached.
Representative metrics · Reference · scenario only
Both ways
genealogy from raw material to finished unit
Minutes
to isolate population-at-risk in a recall
These describe the intended outcome of the design. They are not measured customer results until a validated case is attached above.
Architecture & controls
Composed across the operating loop
Ingest
Connect the systems of record and read the signals the work already produces.
Covered by the platform
Reason
Ground context, score options against policy and the stated goal, draft the next step.
4 agent roles
Act
Execute an approved step in the system of record and keep the evidence.
6 agent roles
Govern
Set policy, gate consequential actions on a named approver, and audit what ran.
Covered by the platform
Pack Architecture & Agent Composition Graph
10 Composed Agents- AGT-0157
Production Schedule Optimization Agent
Manufacturing Operations
- AGT-0201
Computer Vision Quality Inspection Agent
Manufacturing Operations
- AGT-0337
Plant Digital Twin Agent
Manufacturing Operations
- AGT-0222
Incident Triage Agent
IT Operations
- AGT-0223
Root Cause Analysis Agent
IT Operations
- AGT-0224
Change Risk Assessment Agent
IT Operations
- AGT-0345
Quality Inspection Reporting Agent
Quality
- AGT-0348
Scrap and Rework Analysis Agent
Quality
Control gates
- A named approver on every consequential write-back
- Evidence and audit trail kept with every run
Capability atoms
- system-connectors
- signal-ingestion
- root-cause-reasoning
- anomaly-detection
- workflow-orchestration
- evidence-audit-trail
Typical enterprise systems
Typical stack for solution design; compatibility is validated during discovery.
- SAP Ariba
- Coupa
- Snowflake
- Dun and Bradstreet API
- Cognex VisionPro
- Siemens MES MCP
- NVIDIA Jetson
- SAP S/4HANA
Designed for
manufacturing, automotive, healthcare
Business case
Model a Anvaya scenario with your own baseline
Three scenarios from the numbers you enter. Capacity released is time; it becomes a saving only when roles or costs are actually removed or avoided.
Improvement is seeded at the midpoint of this entry's directional band (20–40%). Source status: scenario only. Edit it to your own estimate.
| Scenario | Improvement | Capacity released | Cashable savings | Net annual | Payback |
|---|---|---|---|---|---|
| Conservative | 11% | — | — | — | — |
| Expected | 21% | — | — | — | — |
| Upside | 29% | — | — | — | — |
Enter an annual volume and a baseline cost to see figures.
Illustrative planning scenario, not a guarantee. Results depend on process baseline, adoption, data quality, integration scope, controls, and deployment costs.
Pilot this
From solution design to a bounded pilot
Step 1 · 3–4 weeks
Discovery Sprint
Validate the workflow, data, controls, baseline and business case before anything is built.
Gate: Blueprint and pilot plan signed by the business owner, technical owner and Wayam.
Step 2 · 6–10 weeks
Bounded Pilot
Prove quality and value on agreed data against agreed acceptance tests.
Gate: Acceptance thresholds met on the evaluation set; go/no-go decision recorded.
Agrani · evidence pending3 Agrani candidates in this solution: Computer Vision Quality Inspection Agent, Incident Triage Agent, Change Risk Assessment AgentPairs well with