Order visibility
Summarize order status, open exceptions, and follow-up needs.
Datum helps distributors use AI around operational visibility, branch support, vendor coordination, exception handling, and account growth.
Sample output from the scope workflow Datum built inside KBF — a 7-hour task drafted in seconds, ending where it should: a draft with flags for human review. Taught on the real tools: Claude and Claude Code by Anthropic, ChatGPT and Codex by OpenAI.
Pick a project type above — a reviewable draft assembles in seconds.
Illustrative sample, streamed in your browser — not a real client file. Every real run ends the same way: a draft with flags, reviewed by a human before it touches a customer.
Build this for your business →These are not finished automations handed away for free. They are the safest first categories to map, test, and operationalize inside the Foundations of AI cohort or a Discovery Call.
Summarize order status, open exceptions, and follow-up needs.
Draft structured requests, escalation notes, and issue summaries.
Turn repeated operational questions into searchable internal guidance.
Identify patterns in requests, delays, and customer segments.
Datum teaches AI as controlled workflow design, not an open-ended assistant wandering through the business.
Order exports, ERP reports, vendor emails, inventory notes, branch questions, account history, and approved SOPs.
Do not let AI make commitments on inventory, pricing, delivery, credit, or vendor terms without human approval.