AI adoption

Agentic Commerce Strategy: Closing the AI Spend-Outcome Gap

Agentic Commerce Strategy: Closing the AI Spend-Outcome Gap

AI, Application Development, Digital Transformation, Machine Learning /

Enterprise AI budgets are growing fast, but measurable customer experience improvements aren’t keeping pace. ECI Research analyzes why agentic commerce requires a governance-first, orchestration-layer approach before brands chase autonomous agent architectures consumers aren’t ready for. The organizations that build trust incrementally in 2025 will have the advantage when true agentic capability matures.

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AI A/B Testing: Why Nondeterminism Changes Everything

AI A/B Testing: Why Nondeterminism Changes Everything

AI, Application Development, DevOps, Machine Learning, Platform Engineering, Software Development /

Generative AI breaks the foundational assumptions of traditional A/B testing, but Pearl EVP Rob Ellison argues that nondeterminism creates new experimental surface area rather than eliminating experimentation. ECI Research analyst commentary examines the LLM-as-judge pattern, its real limitations, and what evaluation infrastructure should look like in a compliance-constrained environment.

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Enterprise AI ROI: Why Proof of Value Is Now Non-Negotiable

Enterprise AI ROI: Why Proof of Value Is Now Non-Negotiable

AI, Application Development, Cloud, Enterprise IT Strategy /

Enterprise AI adoption has entered a new phase defined by ROI accountability. As early initiatives fail to deliver expected returns, buyers are demanding verifiable business outcomes before committing. This note examines what that shift means for vendors, procurement teams, and the broader enterprise AI market.

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Why AI Operationalization Is the Real Enterprise Challenge

Why AI Operationalization Is the Real Enterprise Challenge

AI, Application Development, Enterprise IT Strategy /

AI adoption is accelerating, but operationalization remains the hard problem. ECI Research analyst Paul Nashawaty and LiveOps COO Molly Moore break down why governance, workflow design, and accountability structures determine which AI investments actually deliver customer outcomes. The gap between pilot and production is a leadership challenge before it’s a technology challenge.

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Why AI Management Skills Are Your Real ROI Gap | ECI Research

Why AI Management Skills Are Your Real ROI Gap | ECI Research

AI, Application Development, Automation, Enterprise IT Strategy /

Matt Gjertsen, founder of BUILT and former SpaceX training lead, argues in his new book that AI underperformance is a management problem, not a technology problem. Every employee who interacts with AI tools must develop the skills to direct, evaluate, and course-correct AI outputs. ECI Research data on AI tool adoption and security risk exposure supports the urgency of that argument.

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Enterprise AI Is in Production — But Half Can't Measure ROI

Enterprise AI Is in Production But Half Can’t Measure ROI

AI, AI Governance, Application Development, Data Management /

Plug and Play’s new pulse survey finds three-quarters of large enterprises have AI in production, but half aren’t consistently measuring its value. ECI Research analysis identifies the data, governance, and capacity constraints that separate AI deployment from AI return. The real competition is now over measurement infrastructure, not model capability.

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The Enterprise AI Governance Gap Is a Data Problem First

The Enterprise AI Governance Gap Is a Data Problem First

AI, AI Governance, Application Development, Data Management /

Most enterprises are running AI on ungoverned data foundations, and the gap between ambition and operational reality is widening. Quest Software’s Global Field CTO Sue Lane joins ECI Research’s Paul Nashawaty to explain why data quality, semantic layers, and portable governance frameworks determine whether AI investments deliver in production. The governance gap isn’t a maturity problem waiting to close — it’s an active risk posture demanding immediate structural attention.

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AI Feature Adoption Gap: Half of Vertical Software Operators Are Missing the Mark

AI Feature Adoption Gap: Half of Vertical Software Operators Are Missing the Mark

AI, Application Development, Machine Learning /

Banyan Software’s inaugural AI benchmark report finds that 51% of vertical software operators see fewer than one in four customers using the AI they built. The gap between shipping AI and driving customer adoption is the defining competitive variable in vertical software. ECI Research data on engineering time and observability investment adds context to why this problem persists.

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Government AI Translation: The Civic Engagement Gap Cities Are Missing

Government AI Translation: The Civic Engagement Gap Cities Are Missing

AI, Application Development, Digital Transformation, Machine Learning /

New York City’s AI agency deployments optimize internal workflows but leave real-time language access for millions of non-English-speaking residents unaddressed. Wordly’s live AI translation platform targets exactly this gap, with implications for how governments measure the true ROI of public-sector AI. ECI Research data shows internal developer tooling dominates AI investment priorities, leaving constituent-facing infrastructure behind.

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Aina Raises $5.5M to Build the AI Hardware Interface Beyond Keyboards

Aina Raises $5.5M to Build the AI Hardware Interface Beyond Keyboards

Application Development, DevOps, Enterprise Software /

Aina, founded by a former Ultrahuman hardware executive, has raised $5.5M to build a general-purpose AI interface designed to replace keyboards and touchscreens. The company has already shipped a context-aware Mac keypad called Dune and is opening a waitlist for a stealth flagship product. ECI Research analyst coverage examines the enterprise implications and competitive risks.

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