Yukti
yukti - reasoned judgement, the right means to an end
Turn fleet condition into warranty, contract, and insurance decisions worth money.
Yukti is the commercial decision layer over a connected fleet. Vahana ingests and models the signal; Yukti turns that signal into money, unifying predictive maintenance, supplier performance, and contract data into one view of risk alerts, RUL estimates, and cost-optimization opportunities across warranties, AMCs, and insurance. Built-in simulators let teams model scenarios, benchmark suppliers, and renegotiate coverage with evidence.
Workflow
Problem
Fleet, warranty, and insurance data sits in separate systems, so coverage is renegotiated on last year's assumptions and warranty leakage is discovered only after the claims are paid.
Outcome
Connected-systems data, remaining-useful-life estimates, and supplier performance unified into decisions on coverage, claims, and contracts.
01
Unify the record
Connected-systems telemetry, claims history, and supplier performance are brought into one asset-level view.
02
Estimate life
Remaining useful life is projected per asset from condition and usage rather than from a service interval.
03
Find the leakage
Claim and failure patterns are compared against supplier obligations to surface recoverable cost.
04
Model the contract
Coverage scenarios are simulated so warranty, AMC, and insurance terms are set on evidence.
Modules
Remaining Useful Life
Condition and usage signal turned into RUL estimates per asset and per component class.
Warranty Leakage
Claim patterns analysed against supplier and failure data to recover what is genuinely recoverable.
AMC Portfolio Tuning
Contract coverage tiers modelled against actual failure economics rather than list assumptions.
Risk & Coverage Simulator
What-if modelling for insurance and coverage renegotiation, with projected exposure attached.
Representative use cases
Warranty Cost Leakage Elimination & Supplier Claim Recovery
A national logistics delivery provider operating 5,000 commercial delivery vans, dealing with high volumes of component failures under original manufacturer warranty.
Total Cost of Ownership Supplier Performance Benchmarking
An automotive OEM and heavy equipment procurement division sourcing $80M in braking systems, alternators, and hydraulic pumps from 6 competing global Tier 1 suppliers.
Annual Maintenance Contract Portfolio & Coverage Tier Optimization
A cold chain refrigerated transport enterprise managing 650 specialized refrigerated trailers with high value pharmaceutical and perishable food cargo.
Empirical Risk Based Commercial Fleet Insurance Optimization
A national logistics and parcel delivery corporation operating a fleet of 4,000 delivery vehicles, spending $12M annually on comprehensive commercial auto insurance premiums.
Unified Enterprise Fleet Decision Intelligence & Executive Risk Governance
The Chief Operating Officer (COO) and Chief Financial Officer (CFO) of a global transport and logistics enterprise managing 6,000 vehicles, 18 regional depots, and $180M in operating budget.
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
Per asset
remaining useful life, not fleet averages
Data-backed
coverage renegotiation
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.
4 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-0100
Close Acceleration Agent
Finance
- AGT-0101
AP Invoice Processing Agent
Finance
- AGT-0102
AR Collections Agent
Finance
- AGT-0134
Spend Analysis Agent
Procurement
- AGT-0135
Supplier Discovery Agent
Procurement
- AGT-0136
RFx Drafting Agent
Procurement
- 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
- forecasting
- risk-scoring
- scenario-simulation
- alert-routing
- evidence-audit-trail
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
automotive, logistics, manufacturing, financial-services
Business case
Model a Yukti 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 pending1 Agrani candidate in this solution: Defect Root Cause Analysis AgentPairs well with