Product knowledge
Ground answers in catalog, spec, lead-time, and warranty sources.
Datum helps suppliers and showrooms use AI to reduce friction in product education, quote support, customer service, and sales enablement.
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.
Ground answers in catalog, spec, lead-time, and warranty sources.
Summarize options, substitutions, missing specs, and follow-up needs.
Create role-specific talking points from approved source material.
Draft responses and escalation notes with clear human review.
Datum teaches AI as controlled workflow design, not an open-ended assistant wandering through the business.
Catalogs, spec sheets, price lists, lead-time notes, warranty docs, vendor updates, and approved sales material.
Do not let AI invent product availability, substitute materials without approval, or answer from memory when source docs exist.