AI Integration
Manage the Knowledge Lifecycle Behind AI Assistants
AI answers deteriorate when source ownership, approval, freshness and retirement are not part of knowledge operations.
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Insights & Blog
Practical thinking for software that has to work in the real world
Original perspectives from the Juan Infotech team on integrating AI, engineering dependable products and supporting the systems around them.
Showing 26-37 of 85 insights
Insights page 3
Articles 26-37
Focused guidance for business, product and technology teams planning what to build next.
AI Integration
AI Integration
Observability for Production AI Systems
AI observability combines service health with quality, safety, cost and feedback signals tied to real workflows.
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AI Integration
Practical AI Governance for Delivery Teams
AI governance becomes useful when ownership, evidence and approval requirements are built into ordinary product delivery.
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AI Integration
A Phased Roadmap for AI Adoption
A useful AI roadmap moves from assisted tasks to connected workflows as evidence, controls and organisational confidence grow.
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Software Engineering
Software Architecture Designed for Change
Good architecture keeps likely business changes affordable without turning every possibility into abstraction.
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Software Engineering
A Practical Build-versus-Buy Framework
The right build-versus-buy decision considers differentiation, workflow fit, integration effort and long-term ownership.
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Software Engineering
A QA Strategy for Confident Software Releases
Release confidence comes from matching test depth to business risk, change frequency and system dependencies.
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Software Engineering
Prioritising Technical Debt With Business Context
Technical debt becomes actionable when teams connect it to delivery delays, incidents, security and customer friction.
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Software Engineering
Accessibility as a Software Product Requirement
Accessible products are easier to use when keyboard, screen-reader, contrast and error needs shape design early.
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Software Engineering
Design Observability During Product Development
Logs, metrics and traces are most useful when designed around questions the product and support teams will ask.
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Software Engineering
A Secure Development Lifecycle for Small Teams
Small teams can improve software security through repeatable design, dependency, review and release checks.
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Industry Solutions
Planning Healthcare Interoperability
Healthcare interoperability begins with shared meaning, authorised access and operational handling for incomplete information.
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