AllCode provided CTO as a Service, Product Management, Engineering, QA, and DevOps support for Remitter.
Remitter’s software platform runs on Microsoft Azure and makes extensive use of the Azure Service Bus as its Cloud Messaging Service. The code base is predominantly written in C#. Remitter chose RavenDB to be their transactional database, and for Azure SQL to be their reporting database.
Your customers reach out through SMS. Through email. Through WhatsApp. Through web chat.
Your team responds through… spreadsheets? Disconnected inboxes? Maybe a CRM that sort of ties things together?
Meanwhile, each channel has its own queue, its own response time, its own tribal knowledge about how to handle common questions. Customer context gets lost between channels. Response quality varies wildly depending on who’s working.
There’s a better way. Amazon Bedrock—combined with AWS End User Messaging and SES—enables enterprises to build unified communication hubs where AI handles routine inquiries across every channel, escalates complex issues to humans, and maintains full context throughout the customer journey.
Your team processes hundreds—maybe thousands—of emails per day. Each one needs to be read, understood, categorized, and routed to the right person.
That’s a lot of human brainpower spent on triage.
What if AI could handle that categorization in seconds? What if urgent emails automatically escalated, routine inquiries queued for batch processing, and spam silently filtered—all without human intervention?
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