What Pala prepares
Comparable inputs, costs, period, variance and the evidence trail.
Finance
Pala, your AI procurement agent, assembles the records behind the result. Separate opportunity estimates, annual award savings and verified actuals. Finance approves the baseline, measurement period and additional contribution.
Comparable inputs, costs, period, variance and the evidence trail.
Measurement basis, attribution, exclusions and approval of the verified result.
Actual outcomes linked to the work, with existing client initiatives and overlapping estimates kept distinct.
Follow one fictional packaging initiative. Each stage retains the source, the work prepared and the decision your team owns.
Fictional worked example. No customer data or live execution. USD amounts; comparable specification.
SRC-01 / source review
From 1,200 incoming rows, accept 1,180, withhold 12 duplicates and quarantine 8 incomplete rows. Check the existing client initiative register before creating work.
The initiative and its sourcing event retain their own statuses. An award is a commercial decision, not a verified realised outcome.
Read the connected example and its calculationsPala can start with the records you already have. No existing procurement platform is required.
Keep them. Choose a task your team still needs to complete. Pala prepares the analysis, sourcing materials and follow-up for you to review.
Start there. Use spending, contracts and supplier records to identify priorities and prepare the first initiative. No procurement platform is required.
Start with read-only files or exports. Ongoing connections depend on your environment and are agreed separately.
See how ProcureLabs fitsStart with a conversation or an illustrative example. Agree scope, data permissions and assurance requirements before sharing records.
Tell us what you need to get done.