Sankalp
sankalp - resolve, a commitment held under pressure
When freight, tariffs, or material prices move, arrive with options, not alerts.
Sankalp is the disruption half of the planning portfolio. Niyojan plans the network against capacity and constraints; Sankalp watches the world outside the plan and replans when it moves. It gives planners a live view of the order book, utilization, and revenue at risk while continuously monitoring freight rates, material prices, and geopolitical risk. When disruption hits it does not just alert: it delivers ready-to-commit remediation options with projected impact, plus a conversational assistant for what-if analysis.
Workflow
Problem
Planners learn about a disruption from the news or from a missed delivery, then rebuild the plan by hand while revenue at risk grows and the window for a cheap response closes.
Outcome
Ready-to-commit remediation options with projected impact, produced while there is still time to choose between them.
01
Hold the live plan
Orders, utilization, and revenue at risk are tracked continuously across every factory.
02
Watch the outside
Freight, commodity, tariff, and geopolitical signals are monitored against the commitments they threaten.
03
Generate options
When a signal matters, remediation options are solved and scored on cost, margin, and delivery.
04
Commit with approval
A planner chooses an option and commits it; the decision and its projection are recorded.
Modules
Live Order Book
Active orders, factory utilization, and revenue at risk in one view across the network.
External Signal Watch
Freight rates, material prices, tariffs, and geopolitical risk monitored continuously against the plan.
Remediation Options
Concrete replanning options generated with projected cost, margin, and delivery impact attached.
Conversational What-If
An assistant for instant scenario questions against the live plan.
Representative use cases
Raw Material Price Shock Absorption & Margin Preserving Replanning
A major structural steel and heavy pressure vessel manufacturer consuming 45,000 metric tons of specialized alloy plate and forged fittings annually.
Global Freight Disruption & Intermodal Logistics Rerouting
A global power equipment manufacturer shipping heavy transformers and turbine housings via international maritime, rail, and heavy haul trucking routes.
Geopolitical Trade Tariff & Supply Chain Embargo Mitigation
An international defense and aerospace subsystem manufacturer sourcing precision machined forgings and optical components across multiple global jurisdictions.
Catastrophic Factory Disruption & Multi Site Work Order Resequencing
A major industrial valve and actuator manufacturer with 5 plants, experiencing a major structural fire at Plant 2 that disabled the main heat treatment and machining bay for 60 days.
Executive Conversational What If Scenario Modeling & Production Commitment
The executive C Suite leadership of an international heavy industrial conglomerate managing 15 factories, 8,000 employees, and $2.5B in annual 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
Options, not alerts
each with projected impact
Multi-factory
replanning across the network
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.
6 agent roles
Act
Execute an approved step in the system of record and keep the evidence.
3 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-0100
Close Acceleration Agent
Finance
- AGT-0101
AP Invoice Processing Agent
Finance
- AGT-0102
AR Collections Agent
Finance
- 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
Control gates
- A named approver on every consequential write-back
- Evidence and audit trail kept with every run
Capability atoms
- system-connectors
- forecasting
- constraint-solving
- scenario-simulation
- alert-routing
- human-approval
Typical enterprise systems
Typical stack for solution design; compatibility is validated during discovery.
- SAP S/4HANA
- Workday
- Oracle NetSuite
- Snowflake
- SAP MCP
- Dun and Bradstreet API
- SAP Ariba
- Coupa
Designed for
manufacturing, automotive, logistics
Business case
Model a Sankalp 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