Winter 2027 Facilitation Certification Deadline January 1st
Winter 2027 Facilitation Certification Deadline January 1st

Archive

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AI | October 30, 2026

Effective AI agent governance starts with clearly defined roles and least-privilege access. Too often, organizations grant AI agents excessive permissions without documenting what each agent is authorized to do, creating unnecessary security risks. Discover why every AI agent needs a clear job description, how excessive agency exposes organizations to unauthorized actions, and why confidence in AI security often differs from actual access controls. Learn how to define agent responsibilities, limit permissions to essential tasks, establish human approval requirements, and review access throughout the AI lifecycle. By treating AI agents with the same oversight as employees, organizations can reduce security risks, strengthen accountability, and build safer, more responsible AI systems.

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New Friction | October 29, 2026

In this episode of the New Friction series from the Facilitation Lab podcast, host Douglas Ferguson interviews Daniel Elizalde, VP of Product and Technology at ReUp Education, about why faster AI-powered building doesn't automatically produce business results. Daniel describes the "speed fallacy" in B2B, where long sales cycles, security reviews, and limited customer attention cap how fast products can be adopted. He explains how he now treats product and engineering as a portfolio, pausing roadmaps and moving teams to wherever the real bottleneck sits, anchored by a shared company vision that his team communicated through an AI-generated video. The conversation covers misaligned incentives in sales and marketing, the risk of everyone vibe coding their own tools without a shared data layer, and the standardized agents and skills his engineers use with Claude. Daniel closes with the F1 analogy that a faster engine means little if the rest of the car and the track can't keep up.

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AI | October 27, 2026

AI doesn't create organizational dysfunction. It exposes the problems that were already there. When companies replace agencies, workflows, and human expertise with AI without establishing a shared source of truth, the result can be fragmented teams, inconsistent messaging, and contradictory outputs. Discover why AI adoption often reveals hidden organizational gaps, how disconnected custom GPTs and overly broad enterprise tools contribute to the problem, and why context shaping is essential for successful AI transformation. Learn how leaders can improve AI alignment, establish clear ownership, strengthen collaboration, and build a shared foundation before scaling AI across their organizations.

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AI | October 24, 2026

Restricting AI tools in the workplace may create the very security and compliance risks organizations are trying to prevent. Discover how blanket AI bans drive employees toward unauthorized tools, personal devices, and hidden workflows, fueling the rise of shadow AI. Explore why traditional IT restrictions often fail, how shadow AI creates new challenges for data security, governance, and organizational trust, and what leaders can do differently. Learn how providing approved AI tools, establishing clear usage policies, and building practical governance frameworks can reduce risk while supporting employee productivity, responsible AI adoption, and innovation across the enterprise.

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AI | October 20, 2026

What does it really mean to become an agentic organization? Deploying AI agents is only the beginning. True agentic transformation requires more than automation. It demands structured human-AI collaboration, clear decision-making authority, effective governance, and organizational trust. Explore why many agentic AI initiatives fail, how facilitation bridges the gap between technology and teamwork, and the three essential capabilities that separate genuine agentic organizations from agentic theater. Learn practical strategies for building decision frameworks, maintaining human oversight, and creating teams where humans and AI agents work together to make better decisions and drive lasting organizational transformation.

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AI | October 16, 2026

Where do AI agents belong on your org chart? Explore how to make enterprise AI agents discoverable, addressable, and accountable to clear lines of authority without treating them as coworkers. This post examines the gap between presenting agents as digital employees and leaving them off the organizational chart entirely. For leaders navigating AI adoption, it frames a practical question: how can organizations make agents visible while keeping human authority clear? Rethink how your org chart represents AI agents, clarifies responsibility, and helps teams understand where these systems fit within the organization.

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AI | October 13, 2026

AI transformation consulting should help your organization work differently, from faster decisions to stronger team alignment. Learn how to distinguish technology implementation from organizational transformation, recognize common AI adoption failures, and choose a consulting partner equipped to address the real barriers to change. Explore why governance, workflow redesign, leadership participation, and shared AI practice matter for lasting results. Voltage Control explains its facilitation-first, diagnostic approach to building AI capability, the questions to ask prospective consultants, and how to determine whether your organization needs a transformation partner or technical implementation support.

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AI | October 9, 2026

Build an AI governance framework that supports responsible adoption and helps teams move faster. Learn how to govern AI tools and agents like new hires, with least-privilege access, clearly defined roles, named human accountability, and review processes that match the stakes. Explore why blanket restrictions encourage shadow AI, how an AI driver's license can help employees earn access through practical skills, and why involving people in policy design builds trust and ownership. Voltage Control shares concrete steps to assess agent permissions, write AI job descriptions, strengthen review rituals, and create governance your organization can understand and follow.

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New Friction | October 7, 2026

In this episode of the New Friction podcast, host Douglas Ferguson interviews Bryon Jacob, a technology advisor and AI strategist who previously co-founded data.world as CTO and spent a decade at HomeAway. Jacob argues that the teams succeeding with AI-assisted software development share one thing in common: rigorous governance — including near-100% automated test coverage, strictly enforced architectural standards, and code bases deliberately organized for agentic development. He explains why zero tech debt has shifted from aspirational to economically necessary, since AI amplifies good patterns and railroads bad ones, making clean, well-documented, thoroughly tested code the prerequisite for real productivity gains. The conversation examines how leaders are rethinking code review, prototyping, and the entire software development lifecycle, including why a CEO drafting a pull request in Claude Code is a fundamentally better spec than any design brief. Jacob closes by drawing the arc from assembly language to compilers to natural language programming, framing today's moment as the natural next step in a decades-long evolution — and a preview of the governance-driven transformation already coming for legal and every other structured profession.

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AI | October 2, 2026

Why are legal teams adopting AI faster than engineering? This article explores a surprising trend emerging across regulated enterprises: legal professionals are embracing AI not because they are more confident, but because they feel the greatest urgency to adapt. Drawing on insights from leaders at Endava, LinkedIn, and Gartner research, it examines how fear, leadership, and organizational psychology shape successful AI transformation. Learn why governance should empower rather than restrain high-stakes teams, and discover practical strategies for helping legal, compliance, and other regulated functions become active designers of AI adoption instead of passive reviewers.