Retell AI adds memory between conversations for voice agents
Retell Memory retains context across repeat contacts. We examine how to test a new-order scenario when a customer changes delivery instructions.
VOICEIP JOURNAL / AUTHOR
Rostyslav Onyshchenko
Process and analytics writer
About the author
A VoiceIP editorial profile. This collection covers business processes, analytics and performance indicators.
Articles and contributions
50
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Current contributions
Current journal · 1
PREVIOUS PUBLICATIONSArticle archive49
Historical contributions with their original publication dates and URLs.
Scaling AI-assisted development in enterprise: from code generation to engineering discipline
By 2027, successful AI adoption in development will depend not on code generation speed, but on integrating AI tools into controlled testing, security, and architectural oversight processes.
Integrating AI/ML into products: From prototype to production
Transitioning from experimental ML models to robust enterprise systems using AWS Well-Architected Framework, Google SRE, and 12-Factor App principles.
DevOps and CI/CD: accelerating enterprise time-to-market safely
Balancing software delivery speed and system reliability using DORA metrics, 12-Factor App principles, SRE error budgets, and platform engineering.
Managing technical debt and code quality in enterprise systems
How SRE practices, DORA metrics, and engineering discipline help prevent technical debt, while low-code platforms standardize core architecture.
Pragmatic architecture for enterprise systems: avoiding distributed monoliths
Transitioning to microservices without considering operational complexity creates technical debt. We examine approaches for building stable enterprise systems.
Platform engineering and IDP: accelerating development teams
Implementing platform engineering and an Internal Developer Platform (IDP) transforms infrastructure into a product, reducing operational complexity and improving key DORA metrics.
Hybrid development in enterprise: balancing custom code and low-code
How to combine the flexibility of custom development with the speed of low-code while maintaining engineering discipline, version control, and robust system architecture.
From MVP to production-ready: architectural discipline
Transforming a successful prototype into a stable enterprise solution using the 12-Factor App, SRE practices, and the Well-Architected Framework.
Custom development or off-the-shelf: when to build or buy
Finding the balance between rapid off-the-shelf software deployment and custom development freedom, evaluating TCO, and avoiding technical debt traps.
AI agents in workflow: first-line processing and BPM future
How to combine the flexibility of AI with the rigid logic of BPMN 2.0 and DMN to automate first-line request processing without security risks or operational chaos.
Process mining: visualizing real flows and shadow processes
Process Mining methodology reconstructs real task flows using digital footprints, revealing hidden bottlenecks and unauthorized workarounds invisible to management.
Automation antipatterns: chaos, RPA, and AI risks
How to avoid cementing inefficiencies, replace fragile RPA scenarios with reliable API integrations, and safely implement AI into operational workflows using BPMN and DMN standards.