Not everything belongs on the data layer.
These read a document, a message or a queue and act on it inside your own systems. Anything they cannot clear with confidence stops for a named person. The agent acts; it never decides.
Reads
The document, the message or the queue item, in whatever form it arrived.
Matches
Against your master data — the SKU, the vendor, the customer, the contract.
Checks
Price, stock, terms and tolerance, the way your own team would check them.
Writes
Back into the system of record, with the trail of what it matched and why.
Every inbound message read, sorted by intent and urgency, a reply drafted in your team's own voice and routed to the right desk — so nothing waits and nothing slips.
A purchase order arrives by email, portal or EDI. It is extracted, matched to your master data, validated against contract and stock, and posted to the ERP. What it cannot clear goes to a human queue instead.
The systems an order passes through, stitched into one timeline — narrated for agents, queryable for operations, watched for misses. Paste an order ID and get the whole story on one screen.
Listing copy written per platform, because the marketplaces do not reward the same thing. Creative briefs drawn from review mining across your SKUs and the competition, inside your own brand guardrails.
Competitor prices watched, elasticity measured, and spend moved on relevance as well as bid — on a marketplace you cannot outbid a relevance gap, and bid-only tools fix half the equation.
Surveys pushed to your own customer base over WhatsApp, email or a QR code, with answers landing back on the customer profile — so the data compounds and nobody is asked the same question twice.
Start with one use case
Fixed price, five days. By day five you have a working prototype on your own data and a costed build roadmap — yours to keep either way.
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