Finance & Procurement
Should-Cost & Rate Agent
A live should-cost you can defend, not last year's benchmark.
Target outcome: Live should-cost you can defend
The business problem
Recover material cost, cut AP effort, compress DSO
Input prices move weekly. The rate you negotiate against is last year's spreadsheet, stale within weeks, and missing for the tail.
What we deploy
Should-Cost & Rate Agent
Builds a live should-cost from your consumption and cost drivers, re-prices as indices move, and ranks the gap versus contract. A human still commits the price.
How this agent runs
Every agent follows the same operating loop on your stack: audit the evidence, decide with confidence scores, execute with human approval, and record results back to your systems.
Audit
Full coverage on the transactions and documents you choose: contracts, invoices, dispatches, disputes.
Decide
Confidence-scored recommendations with counterfactuals, tax feasibility, and policy rules applied first.
Execute
Human-in-the-loop for consequential actions. Agents prepare; your team approves.
Record
Clean results posted back to your ERP, WMS, or operational systems with a full audit trail.
What we need from you
Data and systems
ERP vendor master and open PO/GRN/invoice samples
AP workflow rules, approval thresholds, and exception policies
Historical match exceptions for baseline triage accuracy
Typical timeline
Pilot matching on a vendor subset in 8 to 12 weeks. Full AP queue coverage scales module by module after sign-off.
8 to 12 weeks on your exports and operational data. A defensible outcome number before you commit to rollout. We agree the baseline and success metric before deployment starts.
Key capabilities
Map each item to the index that actually drives it, with pass-through and lag
Build a clean-sheet stack every line sourced and dated
Rank should-cost versus contract by rupee impact, recoverable or justified
How we deploy it
8 to 12 weeks on your exports and operational data. A defensible outcome number before you commit to rollout. Same operating model on every agent: scope, deploy, measure, then scale or hand off.
Scope
Agree one outcome, baseline KPI, and the exports or systems the agent will read.
Deploy
Agent live on your ERP, WMS, or operational files within the engagement window.
Measure
Track results against the baseline with named transactions and audit trails.
Scale
Expand to adjacent modules or run independently. You own the code from day one.
Good fit if
Buyers walk in anchored on the supplier's quote
A cost engineer can cover only a handful of A-items a year
When the index fell, the contracted price did not
Production module in the field
Should-Cost
Case studies, module depth, and technical FAQs for the platform this agent runs on.
Frequently asked questions
It builds a live, defensible should-cost from your own consumption and cost drivers, re-prices as the driving index moves, and ranks the gap versus contract so a buyer can walk into the room with a number they can defend.
No. It reads item master, BOM, and PO history from the ERP you already run. Your ERP stays the system of record; the agent adds a live cost layer on top.
No. A human still commits the price. The agent drafts the clean-sheet and the recovery case; award and signature stay with your buyer.
Item master, BOM or spec, about 12 months of PO price history, and the commodity or FX series that drive your A-items. CSV exports are enough for an assessment.
The agent runs in shadow against your history and, where you have them, a cost engineer's manual should-costs. You see coverage and material-line error before the number is used in a live negotiation.
Related agents in this area
Invoice Match Agent
Cut manual AP effortNear-instant PO/GRN three-way matching with an audit-ready trail.
See how we deploy thisVendor Onboarding Agent
Cleaner vendor masterDigital vendor onboarding with validation before the first invoice lands.
See how we deploy thisAP Exception Agent
Exceptions onlyRoute only genuine exceptions to a human, with evidence assembled.
See how we deploy thisReady to scope this agent?
8 to 12 weeks on your exports and operational data. A defensible outcome number before you commit to rollout.