AI-Powered Call-by-Call
Management Platform
This case study explores how Closeloop built CxC.ai an AI-powered call-by-call management platform to replace manual and inefficient customer service processes using real-time sentiment analysis intelligent insights and seamless CRM integrations resulting in faster response times improved customer satisfaction reduced costs and scalable high-quality support operations.
CxC is an AI-powered coaching and call optimization platform built for the trades and field service industries. By leveraging advanced large language models (LLMs), natural language processing (NLP), and retrieval-augmented generation (RAG) technologies, CxC delivers real-time coaching, context-aware guidance, and automated insights for customer service representatives (CSRs), field technicians, team leaders, and coaches.
The platform surfaces role-specific AI bots that provide real-time insights based on actual call data, automatically retrieving customer history and intent signals before every interaction. During live calls, instant coaching flags key moments and recommends the right actions — eliminating guesswork for every team member.
Deeply integrated with ServiceTitan, CxC synchronizes data across workflows to enhance call outcomes, operational efficiency, and customer conversions — giving every team member the right intelligence at exactly the right moment.
Lack of Automation in Customer Service
Service-call operations across the trades suffered from information gaps, inconsistent performance, and reactive tooling — costing businesses booked jobs and customer trust every day.
Manual Logs Slowed Everything Down
Manual call logs and notes slowed response times and reduced accuracy, leaving teams without the context they needed for the next interaction.
CSRs Couldn't Convert Inquiries
Customer service reps struggled to convert inquiries into booked jobs without deeper contextual support during live calls.
Technicians Lacked Pre-Job Insight
Technicians often went into jobs without pre-job customer insights, impacting the quality of their communication and reducing sales outcomes.
Subjective Performance Reviews
Leaders and coaches relied on inconsistent, subjective call reviews rather than data-driven performance insights to guide their teams.
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An AI-Driven Platform
Closeloop built CxC to modernize call operations across the trades — equipping every role with real-time AI intelligence that improves conversions, reduces manual effort, and strengthens every customer interaction.
Bot Marketplace
Implemented a bot marketplace with role-specific AI bots that offer real-time insights and guidance based on actual call data for CSRs, technicians, and coaches.
Pre-Call Intelligence
Automatically pulled customer history, intent signals, and key job details to prepare technicians and CSRs with full context before every interaction.
Real-Time In-Call Coaching
Provided instant coaching during live calls, flagging key moments and recommending actions to improve conversions and overall service quality.
Secure Scalable Infrastructure
Utilized RESTful APIs, webhooks, and end-to-end encryption to deliver scalable, secure performance across teams and locations of all sizes.
ServiceTitan Integration
Connected with existing systems like ServiceTitan to synchronize data, automate summaries, and streamline workflows without disruption to current operations.
Automated Summaries & Insights
Generated real-time transcripts with AI-powered summaries and performance insights, replacing subjective call reviews with consistent, data-driven analysis.
CxC helps home service businesses optimize resources, increase customer satisfaction, and drive sales growth while maintaining a consistent service experience across large call volumes.
At a Glance
Closeloop delivered a full AI-powered platform for CxC — covering discovery, LLM pipeline engineering, a React web dashboard, and a native iOS app — within an 8-month end-to-end engagement.
How We Built It
Closeloop approached CxC as a phased, feedback-driven product build — grounding every decision in real role-specific pain points before a single line of AI code was written.
Discovery Workshops
Conducted discovery workshops to identify role-specific pain points for CSRs, technicians, team leaders, and coaches — and tailored bot solutions to each workflow before development began.
NLP & LLM Pipeline Engineering
Built and fine-tuned advanced NLP and LLM pipelines to interpret conversation intent, detect sentiment, and surface coaching opportunities — all trained on real trades-industry call data.
Workflow-First UI Design
Designed intuitive UI flows that deliver AI insights without interrupting the core workflows of technicians, CSRs, and coaches — so adoption was natural and fast from day one.
Phased Deployment with Feedback Loops
Rolled out the platform in phases with continuous feedback loops to improve models, expand bot capabilities, and adapt to real-world usage patterns as the product scaled.
System Flow Diagram
A high-level view of how CxC orchestrates AI pipelines, integrations, and real-time data flows across every role in the platform.
Tech Stack
Portfolio
A look inside the CxC platform — from live call dashboards and sentiment indicators to AI recommendation panels and mobile technician views.
Business Outcomes Delivered
CxC measurably improved response times, call outcomes, and operational efficiency — giving home service businesses a clear, quantifiable return on their AI investment.
AI-assisted coaching and automated summaries speed up call handling and booking workflows.
Technicians and CSRs report smoother interactions, better communication, and increased booked jobs.
Automation reduced manual workload on staff and improved overall team productivity across locations.
What Made This Engagement Different
Building CxC required more than technical execution. It required deep AI product thinking, trades-industry domain knowledge, and the ability to ship a real-time intelligence platform on a demanding timeline.
AI-First Product Thinking
LLM, NLP, and RAG were designed into the core architecture from day one — not bolted on after the fact.
Role-Specific Design
Every bot and feature was purpose-built for a specific role — CSRs, technicians, coaches, and team leaders each got tailored tools.
Deep CRM Integration
Tight ServiceTitan integration ensured customer data was always synchronized without disrupting existing workflows.
End-to-End Delivery
Closeloop owned product strategy, engineering, QA, and delivery — eliminating handoff gaps across the full 8-month engagement.
Secure by Design
End-to-end encryption, RESTful APIs, and access controls were embedded throughout the platform from the ground up.
Measurable Business Impact
Every feature was tied to a business outcome — reduced response times, more booked jobs, and lower operational costs.
Client Value & Feedback
Client feedback reflects not just satisfaction with technical execution but appreciation for the strategic partnership and measurable business outcomes achieved.
"Closeloop built CxC into an intelligent platform that genuinely changed how our teams handle service calls. The AI recommendations and real-time context have made our technicians more confident, our CSRs more effective, and our customers noticeably happier."