When demand grows faster than your team can answer.

They were generating customer interest faster than their team could handle it.

Mag Machinery had invested in strong promotional and marketing activities, and customers were responding. But that created an operational bottleneck.

Multiple potential customers could call at the same time while members of the team were already assisting other customers.

Many calls were also coming in outside normal working hours.

Every unanswered call represented a potential customer who moved on to another supplier.

Lucy became the first layer between Mag Machinery and its customers.

Lucy worked with Mag Machinery to connect their short-code number to the platform.

The initial integration and deployment took approximately three weeks.

Once live, Lucy became the first point of contact for incoming customers handling the initial conversation before passing the right opportunities to the human team.

How many calls Lucy answers at the same time is set by the SIP capacity a business provisions, not by the platform. Mag Machinery asked for 5 or more concurrent calls, so that is what their line carries. On a SIP system sized for it, Lucy can handle more than 1,000 calls at once.

Lucy can:

• Answer 5 or more calls simultaneously, as their SIP capacity allows
• Remain available outside normal working hours
• Provide information about Mag Machinery's products
• Answer frequently asked questions
• Collect customer information
• Understand what machinery or service the customer is interested in
• Qualify potential customers according to Mag Machinery's own criteria
• Schedule appointments
• Transfer customers to human agents when necessary

Every call can become an opportunity the team can act on.

Previously, an unanswered call could simply disappear. With Lucy, customer conversations can be captured, transcribed and analyzed. The system gives Mag Machinery a clearer view of what is happening across their customer interactions.

1. 1

   Call

   Lucy handles the initial conversation and gathers the information the customer provides.

2. 2

   Transcription

   The conversation is converted into a searchable record.

3. 3

   AI Analysis

   The interaction is analyzed against the qualification criteria defined by Mag Machinery.

4. 4

   Lead Qualification

   The system helps identify the quality and status of the opportunity.

5. 5

   Follow-up

   The team can see which customers require attention and decide where to focus their sales effort.

The information doesn't stop at the phone call.

As part of the implementation, Lucy also provided Mag Machinery with a CRM and customer management environment designed around their workflow.

The team can use it to:

• Manage customers
• Track leads
• Review conversations
• Understand customer needs
• Prioritize opportunities

Built around Mag Machinery, not the other way around.

One of the most important parts of the project was tailoring the system to how Mag Machinery actually qualifies and handles customers. Rather than forcing the company into a generic workflow, we configured the platform around their own requirements.

Their qualification criteria can be used to help distinguish:

• High-potential leads

• Leads requiring attention

• Lost / low-priority leads

This means the system isn't simply collecting calls. It's helping the team decide what to do with them.

The team can see what happened not just the final result.

Mag Machinery has access to the information generated through customer interactions.

They can review call recordings and the AI analysis to verify what was discussed during a call.

We built the infrastructure around the conversation.

The project extended beyond the voice interface.

Lucy also provided supporting infrastructure for Mag Machinery's operation, including:

CRM & Customer Management

Automated Backups

End to End encrypted Security Procedures

Processes designed to provide greater security around customer and operational data.