Hardware sales

A hardware lead becomes a priced pack.

Sellers needed install base, a valid configuration, a policy price and a registered deal. That lived in several tools. Our engineers shipped an orchestration on Private AI Foundation so the pack is complete before a human submits it.

The problem we were given

A partner or inbound lead was not a CRM row. Sellers needed install base, a fit, a valid configuration, a price, and a registered deal. That lived in several tools. Packs took days. Pricing and install-base cannot sit in a public prompt.

bizfylabs — use case

Hardware lead onboarding workflow automation

Lead-to-Pack Orchestration & Human Submit Gate

Can the pack be complete, priced against policy, and still blocked from writing to CRM until a named seller submits?

What our engineers built

An orchestration on Foundation, with named specialists and a hard stop before any system of record is written.

Normalise the lead. Retrieve install base. Recommend fit against the catalog. Configure a valid bill of materials. Price against policy, not against a guessed discount. Draft the proposal pack. Hand off for deal registration.

Every tool call goes through the Model Gateway. Policy and DLP sit in the path. Nothing silent-posts to CRM or CPQ. A named seller submits. Commercial paper on the lead is read in place so nobody is typing from a screenshot.

Enterprise boundaries / Guardrails

What it is not

It is not a chatbot on the partner portal. It does not invent list price. It does not register the deal by itself.

Why the cloud answer fails here

Install-base, discount matrices and partner pricing are competitive. They cannot sit in a vendor-cloud prompt. Consequential writes into CRM or CPQ need a named approver, not a side door.

Controls in this workflow

These controls run on Private AI Foundation. Every ask goes through the same path.

Work stays inside the customer perimeter. Inference does not require a network path out.
You hold the encryption keys in every tier that touches your data.
Every ask goes through the Model Gateway. There is no side door to a public model.
Policy and DLP evaluate the request before weights run.
RBAC names who may invoke which model class on which data class.
Each step writes confidence and a citation back to the source. Originals are preserved.
Consequential actions wait for a named approver. Nothing silent-posts to your core systems.
Immutable audit is written on the same install: who, what, which model, which policy, outcome.
Apache 2.0 and MIT weights only. Licence text and an SBOM ship on disk per release.

The paid proof of value

Thirty to forty-five days. Fixed fee. In the customer environment. One product family, one region: lead in, complete priced pack out. Success criteria and conversion price agreed in writing before starting.

Measured against a human sales engineer on accuracy and time-to-first-complete-pack, with zero unapproved writes. If it misses the threshold, the customer keeps the report and owes nothing further.

Key specs

Deployment: Partner / seller tenancy
Egress: Zero external API calls
Audit: Immutable local log

Deploy in your perimeter

Talk to an engineer about air-gapped, on-prem or single-tenant deployment for this workflow.

Start with one product family.

A paid proof of value, 30 to 45 days, lead to priced pack, in your own environment. A human still submits.

Start a paid proof of value

The full stack on one machine, disconnected from the network.

In your office, on your documents, with the cable pulled out. No competitor's sales engineer can do this.

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