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Insights on building AI that runs real operations

White papers, field notes, and frameworks from the team building the governed layer for enterprise operations.

Featured writing

A limestone sea stack standing on its own foundation, apart from the cliff line it broke away from

AI GovernanceAug 2026

Intelligence Sovereignty: Owning Your Alpha in a World of Rented Minds

Alex Karp says enterprises are handing frontier labs the weights and alpha of their businesses. He's right, and the fix isn't training your own model. It's an ontology at the core, a governed runtime around it, and a signed receipt on every turn. We're building exactly that, and it runs today.

Michael Borg, Co-Founder and CEO

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Industry AnalysisJul 2026

The Model Is Not the Product: Why Reliable AI Runs on an Ontology

A short argument and a surprising result. The usual fix for unreliable AI agents is a bigger model. We think it is the layer around the model, and we ran the experiment to prove it. The full data and methodology are in the Technical Report.

Michael Borg, Co-Founder and CEO

Read the paper A hand wiring a control panel of many rows of sockets with a patch cord, an early plugboard used to program a machine by physical configuration Archival photograph

Industry AnalysisJul 2026

The Sisterhood of the Travelling Ontology: Governing Agents Across Every Runtime, On Infrastructure You Never See

We already showed that reliability lives in the layer around the model, not the model itself. The same fact has three larger consequences: the runtime becomes swappable, the data boundary moves to the customer, and the enforcement can prove itself. Governance turns out to be a property of the ontology.

Michael Borg, Co-Founder and CEO

Read the paper A stylized illustration recreating the 1956 Dartmouth workshop: researchers at seminar tables before a blackboard reading artificial intelligence Illustration

Industry AnalysisApr 2026

The Cost of Intelligence Has Collapsed. The Cost of Execution Is at an All-Time High.

Custom AI demos in 15 minutes. Models too capable to release. The gap between what's possible and what's safe to deploy has never been wider, and it's reshaping how enterprises should think about technology partnerships.

Michael Borg, Co-Founder and CEO

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EngineeringJan 2026

Why We're Building OrgBench™: You Don't Need AGI to Get AGI-Level ROI

High IQ doesn't predict success. Neither does raw model intelligence. The real bottleneck is orchestration, and that's why we're building OrgBench™.

Michael Borg, Co-Founder and CEO

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EngineeringDec 2025

Harness Engineering: How We Make AI Reliable for Supply Chain Operations

Why smarter AI models alone won't solve reliability problems, and how we turn probabilistic AI into deterministic performance.

Michael Borg, Co-Founder and CEO

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All articles

Mar 2026 Will Urban Joins Authentica Board as Independent Director Former Flexport CRO Will Urban joins Authentica's board of directors as an independent director, bringing supply chain operating experience from scaling Flexport from $500M to over $5B. Company News Mar 2026 The Executive Guide to Enterprise Agentic AI Lessons from over 100 conversations with mid-market and enterprise stakeholders on what actually determines success with agentic AI, from pace of change to partner selection. Michael Borg, Co-Founder and CEO Industry Feb 2026 The Prediction Premium: Why Vendor Selection Is About to Change When every supply chain AI vendor sounds the same, the signal for buyers isn't who has the best pitch: it's who's made predictions that turned out to be right. Michael Borg, Co-Founder and CEO Industry Analysis Jan 2026 7 Agentic AI Trends That Matter for Enterprise Supply Chain in 2026 The agentic AI market is crowded with similar promises. Here are the trends separating vendors who deliver outcomes from those who deliver demos. Michael Borg, Co-Founder and CEO Industry Jan 2026 What Sets Authentica Apart: A Framework for Evaluating AI Platforms Every AI vendor promises fast deployment and ROI. Here's how to cut through the noise and identify the commitments that actually reduce your risk. Michael Borg, Co-Founder and CEO Product Jan 2026 Copilots Everywhere. Autonomy Nowhere. The real barrier to agentic AI isn't model capability, it's cross-system execution. Insights from NRF 2026 on moving from AI that assists to agents that complete the job. Cam Vidler, Co-Founder & VP Corporate Development Industry Analysis Dec 2025 How We Independently Arrived at OpenAI's ROI Validation Methodology We've overestimated AI in the short term and underestimated it in the long term. In this uncertain middle ground, here's how we actually prove economic value, and why our process organically arrived at the same methodology as OpenAI's GDPval. Michael Borg, Co-Founder and CEO Methodology Dec 2025 You Own Your AI Outputs: Our Approach to IP and Data Rights When you use Authentica, you retain full ownership of AI-generated outputs, plus IP indemnification for your protection. Data Rights Dec 2025 Enterprise-Grade Security for AI-Powered Supply Chains SOC 2 compliance, AES-256 encryption, and 72-hour breach notification: how we protect your data. Security Dec 2025 GDPR, CCPA, and Beyond: Global Data Protection Compliance From Standard Contractual Clauses to 30-day data deletion guarantees, our approach to international data compliance. Compliance