Field Notes
Field Notes on Governed AI Operations
Practical thinking for leaders moving from AI pilots to production AI.
Latest Articles
What People Actually Ask AI (And What It Teaches Us)
The first questions people ask AI often reveal more about an organization than the technology itself. Learn how real user interactions uncover knowledge gaps, workflow challenges, and new automation opportunities...
Read More7 Lessons Real AI Deployments Have Taught Us
What separates successful AI deployments from unsuccessful ones? Drawing on real-world implementation experience, this article shares seven practical lessons on workflow readiness, trusted knowledge, business ownership, governance, and user adoption...
Read MoreAI Governance Starts in the Business, Not the Server Room
Successful AI governance is about more than security and compliance. Learn why business ownership, trusted knowledge, human oversight, and cross-functional collaboration are the foundations of responsible AI, enabling organizations to...
Read MoreInside the IGNA AI Operations Sprint
The IGNA AI Operations Sprint helps organizations move from AI ideas to measurable outcomes. Learn how our structured approach evaluates workflows, knowledge, operational readiness, and governance to identify the right...
Read MoreBeyond the Chatbot: Building a Digital Workforce
A chatbot is just the beginning of an AI journey. Discover how organizations build a scalable digital workforce using specialized AI agents, trusted enterprise knowledge, connected workflows, and human oversight...
Read MoreThe Five Foundations of Operational AI
Most AI projects don't fail because of the technology - they fail because organizations aren't ready to operationalize AI. Learn why governance, workflow ownership, and process maturity are the real...
Read MoreHow We Evaluate Whether a Workflow Is Ready for AI
Not every workflow is ready for AI. Learn the seven practical questions we use to assess workflow readiness, identify high-value automation opportunities, and ensure AI deployments deliver measurable business outcomes,...
Read MoreAI Isn’t Your Strategy. It’s Part of Your Operating Model.
Most AI projects don't fail because of the technology - they fail because organizations aren't ready to operationalize AI. Learn why governance, workflow ownership, and process maturity are the real...
Read MoreThe Hidden Cost of Bad Knowledge Management
AI doesn't solve knowledge problems - it exposes them. Discover why fragmented documents, outdated policies, and unclear ownership prevent AI from delivering reliable results, and learn the practical steps organizations...
Read MoreReady to move from reading to action?
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Process-first adoption
IGNA starts with the workflow, the process maturity, the risks, and the expected outcome - not with the model. Every deployment is grounded in operational reality.
Governed AI agents
Approved data, role-based access, human review, audit trails, and escalation rules are core to the IGNA operating model - not add-ons applied after the fact.
Enterprise integration
Connect to documents, systems, APIs, knowledge bases, workflows, and legacy applications - where appropriate and with the right governance controls in place.