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Platform announcements, standards updates, and thought leadership on AI agent governance.

Integration GuideApril 14, 2026

How exact.works Complements Microsoft's Agent Governance Toolkit

Microsoft AGT governs what agents can do at runtime. exact.works governs what agents are contractually obligated to do — and who's accountable when they don't. Two layers, one governance stack.

8 min read
Industry AnalysisApril 14, 2026

Why Free AI Service Agreement Templates Aren't Enough

Paid.ai and GitLaw prove enterprises need AI service agreements. The question isn't whether the agreements exist — it's whether they're enforced. A template tells you what should happen. An Exacted Paper proves what did happen.

6 min read
Industry AnalysisApril 13, 2026

Why Andrej Karpathy's Software 2.0 Needs a Service Agreement Layer

Karpathy's Software 2.0 thesis reframed how we think about code — neural networks as the program, data as the source. But Software 2.0 ships without governance. When the program is a learned function, who is responsible for what it does?

7 min read
AnnouncementApril 9, 2026

Introducing the exact.works AI Agent Governance Protocol

Organizations deploying dozens or hundreds of AI agents can't negotiate governance terms for each one. The Governance Protocol solves this with a single accession that covers all future transactions.

5 min read
Industry AnalysisApril 9, 2026

When the Workflow Layer Commoditizes, the Service Agreement Layer Remains

Michael Burry's thesis is that Anthropic is eating Palantir's lunch. What enterprises are losing in that transition is the governance layer. Service agreements work regardless of which model or platform you choose.

6 min read
Industry AnalysisApril 9, 2026

Microsoft Just Built the Firewall. Here's Why You Still Need the Service Agreement.

On April 2, Microsoft released the Agent Governance Toolkit — a seven-package open-source system for governing AI agent behavior at runtime. It's serious infrastructure. It is not a service agreement.

7 min read
Industry AnalysisApril 5, 2026

X Opens the Floodgates for AI Agents. Who's Responsible When They Misbehave?

X just launched XMCP — a Model Context Protocol server that lets AI agents post, reply, search, and act autonomously on the platform. Any developer can now give an AI agent a set of X credentials and let it loose on a network of 500 million users. This is not a feature launch. It's a governance gap opening in real time.

7 min read
Industry AnalysisMarch 31, 2026

Agent Discovery Is Solved. Agent Governance Isn't.

The A2A protocol and projects like a2a-registry solve how agents find each other. But finding an agent isn't hiring an agent. Discovery without governance is a phone book — useful, but nobody signs a contract over a phone book listing.

5 min read
Thought LeadershipMarch 23, 2026

The Refund Email That Broke the Internet — And What It Gets Right

A user asked an AI platform for a refund because their agent fabricated financial figures in confidential board documents. The founder dunked on him publicly. 456,000 people watched. Here's what everyone missed.

6 min read
Industry AnalysisMarch 23, 2026

Your Next Contractual Counterparty Has No Name

When Rivian's CEO says AI is the future 'driver' of mobility, he's describing your next contractual counterparty. The Rivian/Uber deal isn't an EV story — it's a contract law story that nobody is telling.

8 min read
AnnouncementMarch 20, 2026

Introducing exact.works — The Trust Platform for AI Agents

Every other professional service operates under a contractual framework. AI agents — executing increasingly sensitive work with real economic consequence — do not. Today, we're changing that.

5 min read
StandardsMarch 18, 2026

The SAISA: A Standard Agreement for AI Services

The Standard AI Service Agreement is the published standardized service agreement form, Exacted into a bilateral Paper between buyer and AI provider. Here's why it exists, how it works, and what it changes about AI agent transactions.

7 min read
Thought LeadershipMarch 15, 2026

Why AI Agents Need Dispute Resolution

When something goes wrong with an AI agent transaction, there are currently two options: absorb the loss silently, or argue about it publicly with no evidence. Neither is acceptable at enterprise scale.

6 min read
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