AI & Engineering
How AI changes engineering skills, delivery measurement, data foundations and agent operations, connected to the practical work of building software.
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Primus insights
Ideas for what is here.
Perspective for what is next.
Substantive perspectives, practical field notes and complete white papers shaped by enterprise technology work.
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New in AI
How the work is changing.
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Engineering skills and AIPerspective
When AI Writes the Code, What Does the Engineer Own?
Verification, technical judgment, delegation and communication become more valuable as generating an implementation becomes easier.
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AI productivity measurementField note
Measure AI Delivery Gains from Request to Reliable Release
A practical scorecard for separating faster generation from better delivery, using review effort, rework, reliability and total cost.
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AI and data engineeringPerspective
AI-Ready Data Needs an Owner, a Meaning and an Access Boundary
Data engineering for AI extends beyond retrieval to freshness, business definitions, permissions and a clear path when evidence is missing.
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Agent evaluation and operationsField note
An Agent Evaluation Should End in a Release Decision
Build a repeatable evaluation set around business outcomes, permitted actions and recovery, then use it to decide what an agent may do.
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Every complete insight and publication in the library.
Perspectives
Developed viewpoints for enterprise technology leaders.
Field notes
Practical methods and decisions for active delivery work.
Author articles
Published work with its author and complete content preserved.
White papers
Complete authored publications with their evidence and detail intact.
Curated collections
Follow a question across related ideas.
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Software Change
Practical thinking for specifying, testing, reviewing and changing enterprise software with AI assistance.
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Agents & Knowledge
How enterprise agents receive trusted context, limited authority, human oversight and an evidence trail.
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Cloud & Operations
Ideas for connecting cloud evidence, architecture, cost, security and safe operational change.
Explore collectionPublished by Primus experts
Ideas and experience from Primus practitioners.
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Banking, insurance and AIAuthor article
AI Agents in Banking and Insurance: A Transformational Shift
A practical view of how autonomous, adaptive AI can support customer service, fraud detection, risk assessment, claims, underwriting and customer engagement.
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AI implementationAuthor article
Overcoming Common Friction Points in AI Implementation
Four recurring implementation challenges—and practical ways to align expectations, human judgment, opportunity discovery and data quality.
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Intelligent automationAuthor article
The Transformative Power of Automation: Lessons from the Frontlines of Innovation
Five lessons from automation programs about executive support, communication, milestones, opportunity assessment and the people at the center of change.
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Agentic AIAuthor article
Agentic AI: A Paradigm Shift in Autonomous Intelligence
A published examination of agentic AI, its distinction from traditional and generative systems, and the questions of governance, value and human oversight.
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White paperBanking automation value, examined in full.
Dr. Danielle Jennings presents the complete portfolio analysis, methodology, figures and recommendations—not a summary.
Maximizing Banking Automation ROI: A Strategic Framework Using PrimeOne™
A complete banking automation portfolio study covering opportunity selection, economics, governance and realized capacity.
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