Parivart
parivart - change, a turning from one state to another
Know which products a new rule touches, before the deadline finds you.
Parivart is a regulatory change-intelligence platform. It continuously monitors global regulatory authority feeds and automatically maps new guidance against a company's active product-market portfolio. Instead of manually tracking bulletins, regulatory affairs specialists receive structured impact delta reports that highlight exactly which products, markets, and processes a new rule or amendment affects, cutting review time and reducing the risk of a missed compliance obligation.
Workflow
Problem
Regulatory affairs teams track bulletins from dozens of authorities by hand, so the mapping from a new rule to the affected products and markets is slow, partial, and easy to miss.
Outcome
Structured impact reports that name exactly which products, markets, and processes a regulatory change affects.
01
Monitor the authorities
Feeds from the relevant global regulators are watched continuously.
02
Read the change
New and amended guidance is parsed into the obligations it actually creates.
03
Map to the portfolio
Obligations are matched against the live product-market portfolio and the processes behind it.
04
Report the delta
A structured impact report names what is affected and routes it to the specialist who owns it.
Modules
Authority Feed Monitoring
Global regulatory authority feeds watched continuously rather than checked periodically.
Portfolio Mapping
New guidance mapped against the active product-market portfolio it actually touches.
Impact Delta Reports
Structured reports naming affected products, markets, and processes, with the change highlighted.
Audit Readiness
A durable record of what changed, who assessed it, and what was done.
Representative use cases
Global Medical Device Portfolio Compliance & EU MDR / FDA Regulation Updates
A global medical technology manufacturer with a portfolio of 450 class II and class III cardiovascular and orthopedic devices marketed across 35 countries.
Biopharmaceutical Multi Market Labeling & Safety Guideline Harmonization
A biopharmaceutical enterprise marketing monoclonal antibody therapies and oncology therapeutics across North America, Europe, Asia Pacific, and Latin America.
Automotive Tier 1 Hazardous Material & Environmental Regulation Tracking
A Tier 1 global automotive supplier manufacturing cockpit electronics, sensors, and wiring harnesses for 12 automotive original equipment manufacturers (OEMs).
Global Consumer Goods Ingredient Safety & Formulation Standard Compliance
A multinational personal care and cosmetics brand producing skincare, hair care, and fragrance products distributed in 60 international markets.
Industrial Machinery Safety Directives & ISO / CEN Standard Revisions
A heavy industrial machinery manufacturer designing CNC machining centers, automated robotic packaging lines, and hydraulic presses for worldwide export.
Cross Functional Regulatory Change Command Center & Audit Readiness
An enterprise industrial conglomerate managing 6 operating divisions across aerospace, medical, automotive, and heavy energy infrastructure.
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
Mapped
rule to product, market, and process
Continuous
monitoring across global authorities
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.
5 agent roles
Act
Execute an approved step in the system of record and keep the evidence.
4 agent roles
Govern
Set policy, gate consequential actions on a named approver, and audit what ran.
1 agent role
Pack Architecture & Agent Composition Graph
10 Composed Agents- AGT-0345
Quality Inspection Reporting Agent
Quality
- AGT-0348
Scrap and Rework Analysis Agent
Quality
- AGT-0349
First-Pass Yield Improvement Agent
Quality
- AGT-0202
Regulatory Tracking Agent
Legal
- AGT-0378
Compliance and Certification Tracking Agent
R and D
- AGT-0218
ESG Disclosure Compliance Agent
Legal
- AGT-0383
Defect Root Cause Analysis Agent
Quality
- AGT-0366
Engineering Change Order Agent
R and D
Control gates
- A named approver on every consequential write-back
- Evidence and audit trail kept with every run
- Policy and compliance checks on retrieved context
Capability atoms
- document-intelligence
- system-connectors
- risk-scoring
- policy-compliance
- alert-routing
- evidence-audit-trail
Typical enterprise systems
Typical stack for solution design; compatibility is validated during discovery.
- Siemens MES MCP
- SAP S/4HANA
- PI System
- Cognex VisionPro
- Thomson Reuters Regulatory Intelligence
- ServiceNow GRC
- Siemens Teamcenter
- Ansys
Designed for
healthcare, manufacturing, automotive, retail-cpg
Business case
Model a Parivart 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.
| Scenario | Improvement | Capacity released | Cashable savings | Net annual | Payback |
|---|---|---|---|---|---|
| Conservative | 9% | — | — | — | — |
| Expected | 18% | — | — | — | — |
| Upside | 24% | — | — | — | — |
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 pending4 Agrani candidates in this solution: Defect Root Cause Analysis Agent, Engineering Change Order Agent, Test Plan Generation Agent, Requirements Decomposition AgentPairs well with