An AI layer that turns your team’s knowledge — into every rep’s answer.
Not a copilot you summon. A substrate that sits under every reply your team writes, cites the page it pulled from, and learns from the edit your senior rep just made.
Classify
Every inbound thread is tagged the moment it lands — intent, urgency, account tier, channel. The taxonomy isn’t static and it isn’t ours. It’s learned from the patterns your senior reps already mark. No ontology to maintain, no rules engine to configure. The model watches what your best people flag, and it mirrors the shape of their judgment in real time.
Retrieve
The model doesn’t guess — it searches your corpus first. Pricing sheets, engineering specs, return policies, engagement letters. Every sentence in the draft carries a citation back to the page it pulled from. If the source is stale or the confidence is low, the system says so instead of confabulating an answer.
Hey Maya, all good on those three.
The walnut 3-pack ships from our Tel Aviv workshop to Haifa in 2–4 business days.
Finish is food-safe: mineral oil + beeswax, no chemical sealant.
Returns are on us for 30 days if the grain isn't a match. No two bowls come out alike, so we plan for that.
Want me to queue the order, or send you a short grain-variation video first?
Suggest
The first draft appears beside the thread, not in a separate window. It reads like your senior rep wrote it because it was grounded in what your senior rep has approved before. The junior edits a paragraph, not a blank page — and the delta between the draft and what they actually send becomes the next training signal.
Sarah, good questions — all three answerable.
Kravet 12345: Martindale is 40K, above the 30K residential heavy-use threshold. Holds up to dogs + toddler per the durability guide.
Lead time confirmed at 8 weeks from order (Kravet rep, 3/2), so place by March 24 for the April 18 install. Doable if we finalize color by Friday.
Trade swap: Romo 'Linara' in Chalk hits the same warm-ivory, similar hand, 22% under Kravet at our trade tier. 52K Martindale, same delivery window.
Want me to queue both as memo samples so you can eye them in natural light?
Act
A reply is rarely just a reply. The drafting surface can push a quote to your ERP, update an order status in your commerce layer, or flag a billing adjustment. Write-backs are gated by rep approval — never autonomous. The rep confirms; the system executes the downstream call.
Learn
Every edit a senior rep makes to a draft is a training signal — scoped to your tenant, not shared with anyone else. Over weeks, the drafts converge toward the voice and judgment your team already has. No prompt engineering. No fine-tuning console. The feedback loop is the product itself.
Score
The system watches its own output. Account health, draft quality, topic drift, escalation rate — surfaced as dials your ops lead can read without switching tools. When a score moves, you know before the customer does. These aren’t vanity metrics; they’re the early-warning system your team never built because nobody had the time.
POST /orders/quotePOST /orders/quoteHow often the draft's cited facts match the source material verbatim.
Percentage of AI-drafted replies sent by the rep without major edits.
Threads requiring senior-rep override. Lower is better — this dial inverts.
Corpus sync recency, normalized. High means the knowledge base is current.
Fields visible above are the schema shape. Values are redacted — the taxonomy is yours, not ours.
We're onboarding in cohorts.
Tell us your shape.
Who you sell to, how many channels you run, and one thing your best rep knows that the rest of the team doesn't. We'll reply with a walkthrough grounded in your actual docs — not a generic demo.