Industries

D2C & Consumer Brands

AP & Procure-to-Pay

Invoices arrive from vendor portals, email and WhatsApp in every format. The agent reads each one, matches it to the right purchase order, and posts the GRN into SAP or Tally.

Invoice in

PO matched

GRN posted to SAP

AP 3-Way Match

Price and quantity mismatches usually surface only after the payment has gone out. The agent checks every invoice against its PO and goods receipt, and holds back the ones that do not agree.

PO

Receipt

Invoice

COD & Returns Reconciliation

Courier remittances, the warehouse system and your books rarely agree, and the gap quietly sits there for months. The agent reconciles all three every day and raises a dispute on every short-payment it finds.

Courier data

WMS

Books

Order Entry / SO → PO

Inbound orders land over email, WhatsApp and PDF, then get re-keyed into the ERP by hand, which is where the errors and the backlog start. The agent reads each order, raises the SO and triggers the PO, fully logged.

Order in

SO raised

PO triggered

Distribution & Trading

Quote Desk / RFQ → Quote

An RFQ lands and then waits while someone checks stock, pulls pricing and types the quote up. The agent reads the request, builds the quote from your catalog and pricing rules, and has it ready to send in under an hour.

RFQ in

priced

quote sent

Purchasing Automation

Reordering runs on memory and whoever has time that day, so stockouts and rushed POs become normal. The agent watches demand and stock levels, drafts the purchase order when a line runs low, and notifies the vendor.

Demand signal

PO drafted

vendor notified

Vendor PO Follow-up

Open POs go quiet and you usually hear about a delay around the time the customer does. The agent follows up with every vendor on schedule, tracks confirmations against your ERP, and flags a slip days before it lands.

PO placed

followed up

delay flagged

Estimating

Quote accuracy lives in one experienced person's head, which makes estimates slow and hard to scale. The agent builds a structured estimate from your historical costs and margin rules, ready for that person to review instead of build from scratch.

RFQ in

costed

estimate ready

Logistics & Freight

Shipment Track & Trace

Your team logs into eight carrier portals every morning and pastes statuses into a sheet that is stale by noon. The agent pulls tracking from every carrier into one live feed and surfaces exceptions the moment they appear.

Carrier portals

one feed

exceptions flagged

Freight Invoice Audit

Freight invoices get paid and maybe a fifth are ever checked against the contracted rate. The agent audits every invoice line against your rate card before payment and flags the overcharges worth recovering.

Invoice

vs rate card

overcharge flagged

Trip / POD Reconciliation

Trips close only when someone manually matches the proof of delivery to the trip, so billing waits and disputes pile up. The agent matches each POD, closes the trip and triggers the invoice automatically.

POD in

trip matched

invoice raised

Manufacturing

RFQ → Quote / Estimating

A drawing arrives, joins the queue, and someone builds the BOM and quote by hand over a day or two. The agent reads the drawing, extracts the BOM and drafts the estimate, so your estimator reviews instead of builds.

Drawing in

BOM extracted

estimate drafted

PO → GRN / Receiving

Goods arrive, the paperwork gets checked by hand and the GRN is keyed in twice across systems. The agent reads the supplier document, matches it to the PO and posts the GRN, with nothing entered twice.

Supplier doc

PO matched

GRN posted

Supplier Follow-up

Production plans get built on what suppliers promised, not what they confirmed, so a slip shows up on the line. The agent follows up on every open PO, tracks confirmations and raises an alert before a delay reaches the floor.

PO placed

followed up

delay alert

FAQ

Frequently asked questions

What exactly is an AI agent

An AI agent is an autonomous system designed to handle specific business tasks end-to-end. Unlike simple chatbots, AI agents can reason, take actions, integrate with tools, and follow defined workflows.

Can agents integrate with our existing tools and systems?

How reliable are AI agents in production?

How secure are AI agents?

How does an engagement work?

What do you need from our team to get started?

How long until we see results?

What happens when an agent isn't sure?