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MYRIA / RESEARCH & INSIGHTS

Ideas worth examining.
Decisions worth improving.

Research from respected independent institutions and industry practitioners, considered alongside Myria's own management frameworks and practical approaches.

INDEPENDENT SOURCES / CURATED OCTOBER 2026

What the research is telling us.

These links open the original publisher's work. Our interpretations are identified separately from the findings.

Original abstract illustration contrasting broad AI adoption with connected organizational capabilities
Independent research2026

AI adoption is growing. Organizational readiness is the harder question.

Research finding: Stanford HAI's 2026 AI Index reports that 88% of surveyed organizations used AI in 2025, while AI agent deployment remained in the single digits across nearly all business functions.

Myria's perspective: Assess how work is organized, who has decision authority, and whether teams can adopt and govern new capabilities before scaling agents.

Original abstract illustration of connected end-to-end workflows and decision points
Industry perspective2026

Enterprise value requires more than introducing AI tools.

Research finding: McKinsey examines the gap between individual AI productivity and enterprise-level results, and the need to redesign workflows, operating models and accountability.

Myria's perspective: Start with end-to-end business outcomes, then align the people, AI agents, decisions and workflows required to achieve them.

Original abstract illustration of layered controls and a human oversight checkpoint
Industry research2026

Human oversight and governance belong in the operating model.

Research finding: Deloitte Canada's 2026 State of AI in the Enterprise considers workforce readiness, AI governance, scaling and the importance of defining where humans remain in control.

Myria's perspective: Build oversight, approvals, exception management and auditability into operational design—not as controls added after deployment.

Original abstract illustration of enterprise systems connected around shared results
Applied research2026

What successful enterprise AI deployments have in common.

Research finding: Stanford's Enterprise AI Playbook examines 51 enterprise cases and describes how organizational readiness, leadership and processes shape implementation outcomes.

Myria's perspective: Use evidence from real deployments to frame practical questions about process fit, evaluation, governance and scalable execution.

Research belongs to its original publishers. Myria is not affiliated with or endorsed by these publishers. This is a curated collection, not a live feed; entries are reviewed before publication.

OUR THINKING / ORIGINAL PERSPECTIVES

How we put those ideas to work.

From strategy to execution

A Myria practice note on connecting decisions, end-to-end workflows, accountability and measurable progress.

Read the practice note

The Myria Management Model

In-Depth Thinking, Intelligent Structure and Thinking Culture as mutually reinforcing management capabilities.

Explore the model

Finding the right AI opportunities

An original practical guide that begins with business objectives, decisions, exceptions and workflows.

Read the guide

AI-Enabled Enterprise Playbook

Explore the management, operating and governance questions behind AI-enabled organizational change.

Explore the playbook