Skip to content
AI Agents β€” Custom Builds

An AI advisor that knows your catalogue.

For companies with complex catalogues β€” hundreds of SKUs, product specs, configuration logic. Visitors describe what they need; the agent reads your full catalogue, recommends the right fit with reasoning, captures details, and emails the right salesperson with full context. Custom-trained on your data, built end-to-end.

Book a call
πŸ’‘
Just need website chat that answers FAQs and qualifies leads? NeoMind ships Simon from $99/month β€” live in 60 minutes, no custom build needed. Solution Advisor is for catalogues with hundreds of SKUs and complex configuration logic.
A
Advisor
Online Β· replies instantly

Illustrative β€” your catalogue, your routing rules.

The problem

Complex products lose buyers
at the info stage.

Complex catalogue, confused buyers

When you sell 200 SKUs or 12 service tiers, buyers can't self-serve β€” they bounce or call your busiest sales rep with basic questions.

Visitors bounce before forms get filled

Generic "Contact Us" forms convert poorly. Buyers want answers first, forms later β€” if at all.

Sales gets unqualified leads

Reps waste the first 20 minutes of every call re-discovering what the buyer already typed into your website.

How it works

From catalogue
to conversational advisor.

Four steps that turn your product documentation into a 24/7 sales engineer that never forgets a spec.

01 Β· Ingest

Ingest

We point the agent at your product catalogue, spec sheets, and sales docs β€” full RAG pipeline built and tested.

02 Β· Train

Train

Define your ICP, disqualifiers, and routing rules β€” which products go to which territory or specialist.

03 Β· Embed

Embed

Chat widget ships on your product pages and landing pages, branded to your site.

04 Β· Route

Route

Qualified leads land in the right rep's inbox with the full conversation transcript and agent reasoning attached.

What's included

Everything wired up end-to-end.

  • Document ingestion pipeline (RAG over PDFs, catalogues, specs)
  • Discovery prompt design tailored to your sales motion
  • Product-match logic and recommendation reasoning
  • Lead-capture forms and contact validation
  • Routing rules by product, territory, or deal size
  • Email integration with conversation context attached
  • Conversation analytics dashboard + two weeks of prompt tuning post-launch
Use cases

Where this wins.

Industrial equipment

Buyers describe their application; the agent recommends the right model, specs, and configuration from hundreds of SKUs.

B2B SaaS with multiple plans

Self-serve plan fit based on team size, use case, and integrations β€” with upsell triggers built in.

Professional services

Service-fit matching across your offering ladder, with transparent scoping questions.

Manufacturers with large SKU catalogues

Turn product documentation into a 24/7 sales engineer that never forgets a spec.

4–6 week build

A salesperson that never sleeps.

Show us your product catalogue and we'll scope a 4–6 week build that turns it into a 24/7 sales advisor.