Custom CRM Case Study: Pairing AI Lead Scoring With a Purpose-Built Sales Platform
The client, a UK-based business, partnered with Cypherox to build a custom CRM with capabilities standard off-the-shelf platforms couldn't provide. They added an AI Sales Agent on the front end to score inbound leads before passing them to a sales representative.
Where We Started
Overview
The client needed a CRM built around their specific sales process. Standard CRM platforms available in the UK market didn't meet the business's needs, and adapting one would have introduced more constraints than it solved.
Problem Statement
Sales representatives were spending time on prospects who were not ready to buy. There was no reliable way to separate qualified leads from early-stage browsers before a representative got involved, and that cost the team time they didn't have.
The Challenge
Building a custom CRM is already complex. Adding an AI Sales Agent and ensuring its qualification data fed accurately and consistently into the CRM used by the sales team made the integration considerably more involved.
Opportunities
Because the CRM was being built from scratch, Cypherox could design the lead-scoring logic directly into the data model from the outset, rather than adding a scoring layer onto a rigid, pre-built system later. Every field and workflow could be built with qualification in mind.
Our Responsibilities
Designed and built the custom CRM to the client's specific requirements
Built a front-end AI Sales Agent to engage and qualify inbound prospects
Connected the AI Sales Agent's lead scoring output directly into the CRM's ranking system
Desired Outcomes
A CRM built around the business's actual UK sales process, not a generic template
An AI Sales Agent capable of qualifying leads before a representative is involved
Sales reps allocating their time to prospects with a higher likelihood of converting
A shorter, more predictable path from first contact to a qualified conversation
The Vision
Product Strategy and Design
Cypherox designed the CRM's data model to include lead scoring from the start. Every interaction the AI Sales Agent had with a prospect directly affected how the sales team ranked that lead in its queue, rather than applying scoring as an afterthought.
Key Features and Capabilities
The AI Sales Agent speaks with inbound prospects, asks qualifying questions, automatically scores leads, and sends only qualified prospects to a representative's queue within the CRM. Representatives see a ranked list rather than an unfiltered inbox.
Tech Stack and Implementation
Cypherox built the CRM as a custom application with a dedicated scoring engine at its core, rather than adapting a generic template. The AI Sales Agent runs on the front end, collects prospect responses and sends structured lead scores directly into the CRM. This means the UK sales team works from a prioritized queue rather than sorting leads manually.
Results and Business Impact
The AI Sales Agent now engages and scores inbound prospects before a representative sees them. The sales team no longer receives every lead without any prior filtering or prioritization.
Representatives work from a ranked queue in the CRM, so they spend time on prospects with genuine buying intent rather than early-stage browsers with no clear timeline.
Becke, the client, described the delivery directly: "It was a custom-heavy CRM and from start to finish the experience was seamless... delivered on time."
By including lead-scoring logic in the CRM from the outset, the AI Sales Agent helped the UK sales team reach valuable conversations more quickly and with less wasted effort.
"Cypherox built our custom CRM with AI lead scoring designed in from the start, not bolted on later. The AI sales agent engages inbound prospects and routes only qualified leads to our reps. From start to finish, the execution was seamless and delivered on time. Absolutely brilliant work."
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