Datum
Suppliers / Showrooms

Turn product knowledge into faster, source-grounded support — with control.

Datum helps suppliers and showrooms use AI to reduce friction in product education, quote support, customer service, and sales enablement.

Measured at KBF Design Gallery — the firm Datum is built inside
7 hrs → 30 minper scope of work after one week of build
490 hrsreclaimed per year from a single task
$5.2M → $13.8Mdesign-build revenue, 2021 to 2025
+20%revenue capacity with no new hires
Free resource / start here
Watch it work

Watch the scope write itself.

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.

Datum scope workflow · sample output 0.0s

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 →
01 / First workflows

Start where AI creates leverage first.

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.

01

Product knowledge

Ground answers in catalog, spec, lead-time, and warranty sources.

02

Quote support

Summarize options, substitutions, missing specs, and follow-up needs.

03

Sales enablement

Create role-specific talking points from approved source material.

04

Customer service

Draft responses and escalation notes with clear human review.

02 / Guardrails

Grounded, reviewable, and useful.

Datum teaches AI as controlled workflow design, not an open-ended assistant wandering through the business.

Ground the AI in sources.

Catalogs, spec sheets, price lists, lead-time notes, warranty docs, vendor updates, and approved sales material.

Keep the risk boundary clear.

Do not let AI invent product availability, substitute materials without approval, or answer from memory when source docs exist.

03 / Related verticals

The building stack is connected.