Cutting Manual Email Triage by Over 70%: An AI Transformation for Jome
How Jome automated client email intake, personalised response drafting, and finance reporting as part of an AI Transformation engagement with Easyflow.
Industry
Services
AI Transformation
Timeline
Phased Engagement
Team Size
6 specialists
Jome is a platform that helps homebuyers search, compare, and purchase new construction homes, bringing pricing, incentives, and builder details together in one place. Growing client volume brought two priorities into focus: keeping response quality high as email intake scaled, and turning financial and operational exports into faster decisions. Jome brought in Easyflow to run an AI Transformation across these workflows, auditing the operation and then building AI agents directly into client communication and finance reporting. The engagement reduced manual triage of customer emails by over 70%.
70%+
Manual email triage reduced
3
AI agents deployed
100%
On-time delivery
Challenges
Scaling Client Communication
Every incoming client email needed reading, interpreting, and categorizing before a reply could go out. As volume grew, this step became the bottleneck to a fast, high-quality response.
Turning Data into Decisions
Financial and operational data lived in exports and reports. The team wanted to move faster from data to decision, spotting patterns, anomalies, and seasonality without manual review standing in the way.
The Solution
Easyflow's AI Transformation methodology starts with an audit: mapping the operation, ranking opportunities, and scoping the highest-impact automations. For Jome, that audit surfaced three priorities: automating email intake, improving response speed and quality, and turning financial data into insight the team could act on. These became the phases of the engagement.
Audit & Scope
Easyflow mapped Jome's client communication and finance reporting workflows and prioritised the phases of the engagement around email intake, response quality, and financial insight.
Build the Email Parser and Intent Detector
An AI agent was built to scan incoming client emails, extract relevant details, and detect intent, so requests are categorized and routed automatically.
Build the Personalised Response Assistant
A second agent was trained to draft context-aware replies based on the detected intent, giving the team personalised responses ready to send.
Connect Detection to Response
The two agents were linked so a detected intent flows directly into a matching draft reply, closing the gap between triage and response.
Build the Finance Operations Insight Agent
An internal AI assistant was built to analyse financial and operational exports, surface patterns, anomalies, and seasonality, and answer team questions in plain language.
Handover & Ongoing Iteration
Easyflow stayed responsive after delivery, adjusting the agents quickly as Jome's processes and data evolved.
What We Built
01
Email Parser and Intent Detector
Scans incoming client emails, extracts relevant information, and classifies intent so requests route automatically.
02
Personalised Response Assistant
Drafts context-aware replies based on detected intent, giving the team personalised responses ready to send.
03
Intent-to-Reply Automation Pipeline
Links detection and drafting into a single flow, taking a client email from intent to a ready reply with minimal manual review.
04
Finance Operations Insight Agent
Analyses financial and operational exports to surface patterns, anomalies, and seasonality.
05
Natural Language Query Interface
Allows the finance team to ask questions about the data directly and get plain-language answers.
06
Executive Insight Summaries
Generates concise summaries of key drivers and trends for leadership review, translating data into plain language.
Broader Impact
Client Ops Efficiency
The team spends far less time reading and categorising emails by hand, freeing time for higher-value client interactions.
Faster, Tailored Response
Detected intent flows straight into a drafted reply, helping the team respond quickly with personalised recommendations.
Data-Driven Finance Decisions
Financial patterns and anomalies now surface through natural-language queries and summaries, not manual reports.
A Foundation for Further Transformation
The audit-first approach gives Jome a scoped roadmap for extending AI further into client operations and finance.