— DEMO
Watch an AI Voice Agent Handle Pump Selection — Using Real Yield Curve Data
A full walkthrough of an AI agent handling a real pump-selection call — qualifying the project specs and recommending the right model from the manufacturer's yield curves.
Book Discovery Call →What you just heard
A distributor had a contractor standing in front of them who needed a pump recommendation for a specific project. Instead of flipping through spec sheets, they put the AI agent on the call.
The agent walked through the qualification the way a senior product specialist would — asking about the project requirements, the flow rate, the head pressure, the application conditions — one question at a time, building up the picture it needed.
Then it referenced Liberty Pumps’ actual published yield curve data and recommended a specific model, with reasoning the contractor could follow and the distributor could stand behind.
No script. No phone tree. The agent reasoned about the project’s specific requirements against the manufacturer’s performance curves and arrived at the right pump. This is the conversation a technical sales engineer has dozens of times a week — and the one that pulls them off everything else while they have it.
Why this matters for mid-market operating companies
Most operating companies in industrial categories have product catalogs, yield curves, spec sheets, technical documentation — structured knowledge that customers need to navigate before they can buy.
Right now, that navigation falls on humans. Sales engineers. Customer service. Technical specialists. The work nobody can scale by hiring faster.
Inbound technical inquiries hit your team’s capacity ceiling. They’re not the work that grows the business. They’re the work that prevents the work that grows the business.
An AI agent referencing the same structured data can handle the majority of these inquiries, hand off the complex ones with full conversation context, and free your specialists for work that actually requires them.
Where this pattern applies
- Industrial manufacturing — product selection, spec matching, configuration questions
- Distribution — inventory queries, alternate product recommendations, technical fit assessment
- Healthcare services — appointment routing, intake qualification, insurance pre-check
- Hospitality — booking inquiries, service customization, complex itinerary requests
- Multi-location services — dispatch routing, service availability, technical triage
- Regional infrastructure — service status, work order intake, technical referrals
- Plumbing/HVAC/Electrical - service status, work order intake, technical referrals
- Constrction - materials ordering, job estimation, service calls
Anywhere your customers need to navigate structured data your team currently navigates for them.
How it actually works
Structured data layer
Your catalog, spec sheets, yield curves, decision trees become the agent's reference. Not training data. Live retrieval, current at every call.
Voice + reasoning
The agent uses a frontier LLM for reasoning and a high-quality voice model for natural conversation. The customer is talking to a competent specialist, not a phone tree.
Handoff with context
When the agent reaches the edge of what it can answer well, it routes to a human with full conversation context. No "let me transfer you and you'll have to explain everything again."
This isn't a chatbot. It's a reasoning agent with access to your structured data and a clean handoff path to your team.
Where most teams hit the wall
Most $20M–$50M operating companies don't have an in-house AI lead. The IT director runs systems, not strategy. Outside specialists bill by the hour with no skin in the outcome.
Doing this part-time alongside running the business usually means six months of stop-start work, missed deadlines, and at least one production-impacting mistake along the way.
How Bridgehead fits in
AI Activation
Fixed Fee · 2–3 weeks
We assess where your team sits on AI proficiency, run hands-on training with leadership and one or two departments, audit your workflows for the highest-ROI automation candidates, and ship a 90-day roadmap your team can run with.
AI Transformation Retainer
Monthly Retainer · 6-month minimum
A four-week operating cadence installed inside your company. Week 1 alignment. Week 2 department work. Week 3 implementation. Week 4 training and reporting. By month six, your team runs it without us.
Full Transformation
Custom · Quote
Multi-department, embedded presence, accelerated initiative velocity. For CEOs committed to AI-enabled operations across the entire business — not one department at a time.
— Bridgehead
Most companies aren't ready for AI. The technology works. The organizations don't. Bridgehead is the bridge.
— Get Started
See if this fits your operation
Book a 30-minute Discovery call. No prep needed. If there's an obvious fit, we'll show you what Phase One would look like for your business. If there isn't, we'll tell you that too.