Distributed Messaging Aggregation for Service Outage Response
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Solution Overview
Problem
Businesses face challenges in timely communication with customers during service outages, as drafting and distributing update messages across multiple platforms requires coordination and often results in delayed delivery, extending mean time to recovery.
Innovation Solution
A distributed messaging system that aggregates customer messages from social media and email accounts, identifies service issues, generates automated responses, and facilitates approval chains for message distribution across multiple platforms, using AI and message templates to streamline communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual coordination is used to draft and distribute update messages across multiple platforms, then message approval and distribution control is maintained, but mean time to recovery is extended due to coordination requirements
Solution Approach 1:
The system segments the messaging workflow into distinct automated components: message capture from multiple platforms, keyword-based filtering, template-based generation, approval chain routing, and automated distribution. This segmentation allows parallel processing of messages while maintaining controlled approval workflows, reducing overall processing time while preserving reliability.
Solution Approach 2:
The system performs preliminary actions by pre-configuring message templates with approved content structures, pre-establishing approval chains with designated personnel, and pre-filtering messages using predetermined keywords. This preparation eliminates the need for ad-hoc message drafting during incidents, significantly reducing mean time to recovery while maintaining approval control.
2Measurement precision
If individual recovery personnel are asked to create messaging during events, then message accuracy reflects technical expertise, but mean time to recovery is extended
Solution Approach 1:
The system introduces an intermediary automated messaging platform that bridges technical recovery personnel and customer communication. The platform captures technical updates, transforms them into customer-friendly messages using templates, and manages distribution across platforms. This intermediary preserves message accuracy by maintaining close collaboration with recovery personnel while eliminating their burden of manual message creation and distribution.
Solution Approach 2:
The system enables self-service by allowing recovery personnel to simply input technical update information, which the system then automatically processes through filtering, template selection, approval routing, and multi-platform distribution. This self-service approach maintains message accuracy through structured templates while dramatically reducing the time investment required from recovery personnel.
3Manufacturing precision
If messages are iterated to meet business leadership expectations, then message quality and alignment with business goals is improved, but messages are queued and delivery is delayed
Solution Approach 1:
The system performs preliminary action by pre-configuring message templates that incorporate business leadership expectations, branding guidelines, and approved communication styles. These templates are prepared in advance with placeholder fields for technical details, allowing rapid message assembly during incidents while maintaining consistent quality and alignment with business goals.
Solution Approach 2:
The system applies dynamics by implementing a flexible approval chain that can adapt message routing based on message type, severity, and recipient. The approval process is dynamic rather than static, allowing expedited routing for routine updates while maintaining rigorous review for critical communications. This dynamic approach maintains message quality without imposing uniform delays on all messages.
4Reliability
If update messages are queued in a system for processing, then message distribution control is maintained, but the process can take minutes, hours, or days to complete
Solution Approach 1:
The system segments the message processing queue into parallel processing streams based on message type, platform destination, and priority level. Instead of a single sequential queue, messages are divided into multiple concurrent processing paths, maintaining distribution control through structured routing while dramatically increasing overall processing throughput and speed.
Data Source
AI summary
A method of providing a distributed messaging system to aggregate particular types of messages regarding a client from customers of said client and for generating response and informational messages to the customers is provided. The method is performed in a distributed system comprising one or more processors executing computer instructions and one or more non-transitory computer readable media with computer executable instructions stored thereon executed by the one or more processors to provide the method. The method comprises the steps of: receiving and securely storing client account credentials of the client for a group of client determined user accounts comprising predetermined ones of social media and email accounts of the client; utilizing the client account credentials to access the user accounts; capturing all customer messages received at the user accounts; filtering all the captured messages for predetermined keywords; aggregating the filtered customer messages in a database; and determining severity, trust and validity of the filtered customer messages.