Daniela Hurtado

Our team at Turing just wrapped a project with Salesforce AI Research, putting models through Olympiad‑level maths. 🧠 We built a benchmark, Hard2Verify, that checks every step of the reasoning, not just the final answer. Turns out even top models make mistakes along the way. It’s exactly the kind of problem we enjoy solving - getting AI to actually think, not just guess!

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Today, I want to share with you something both massive and inescapable — a force reshaping software development as we know it. Our Co-Founder and CEO Shlomi Ben Haim is writing about the wave — the tidal wave — of binaries. Not metaphorical. Literal. Real. Growing exponentially. As AI advances, as automation replaces hand-coded source lines, the sheer number of compiled artifacts — the executable outputs — is skyrocketing. In this new world, you need a single source of truth — a system of record — not just for source code, but for every binary that flows through your software supply chain. Check it out via the link in Shlomi's post below.

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Some more exciting news around Salesforce acquiring Regrello, and I think it’s another great move into an agentic future. This isn't just about automation. Regrello's "agentic" AI can build intelligent, dynamic workflows on its own. It's about giving business processes a brain. For those of us in the industry, this is another game-changer. It means a future where AI handles the complex, manual tasks, freeing us up for more strategic work. #Salesforce #AI #Acquisition #Regrello #BusinessAutomation #FutureofWork https://lnkd.in/g94HbBsg

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Complex deals don’t need more meetings. They need better architecture. 🏗️ After a decade and a half in RevOps, I’ve learned this: cycle time rarely breaks because of “approvals.” It breaks because the system can’t understand what it’s looking at. When workflows are context-blind, every deal gets treated like a risk event. Every edge case becomes a fire drill. Every approval becomes manual interpretation. That’s not governance - that’s friction disguised as control. 🚧 The real unlock is semantic context inside your revenue systems. When your CPQ and quoting architecture understand intent - what’s being sold, how it maps to pricing logic, what risk profile it represents - you don’t need more process. You need smarter triggers. 🧠⚡ That’s the focus for us at Socure - ✅ Architecting workflows that scale with deal complexity ✅ Removing “approval tax” without increasing risk ✅ Designing systems that support modular growth instead of fighting it The ROI isn’t theoretical. It shows up in: 📉 Fewer unnecessary escalations 💰 Cleaner margin protection 🔁 Less rework across Sales, Finance, and Legal 🚀 More time spent closing vs. explaining Large and complex shouldn’t mean slow. If it does, it’s usually an architectural issue — not a sales issue. If you’re thinking about how semantic CPQ design impacts scale, DealHub.io's guide Own Your Revenue: A Guide to Semantic CPQ Architecture is worth the read. 👇👇👇👇👇👇👇 https://lnkd.in/gKwhMd5W 2026 targets won’t be hit by adding more approval layers. They’ll be hit by building systems that understand context. And that’s a RevOps problem to solve. 🎯 #RevOps #RevenueOperations #CPQ #DealArchitecture #GTMSystems #SalesOps #QuoteToCash #B2BSaaS #RevenueLeadership

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Distribution always wins, and here's another proof point: SFDC's AgentForce grew from 0 to $100M ARR in 8 months = faster than Lovable, Cursor, Wiz. It's great to see innovation from the incumbents, as well as the disruptors! While vibe coding apps are making headlines, Marc Benioff 'quietly' revealed: "AgentForce reached more than $100,000,000 in AOV. It's much faster than any product in our history, and we're not even fully deployed in all geographies, currencies, or languages." To put things in the perspective… SFDC has 150,000 customers AgentForce grew to $100M in 8 months It's 'only' adopted by 8,000 SFDC customers (5.3%) So, even if they just expand to SFDC's current customer base, AgentForce alone has a potential to be a ~$2B ARR product! ------- The takeaway? In the last 2 years, VCs bet (at least) $221.5M on AI SDRs alone. The broader category of AI Agents is obviously much bigger, with at least +150 solutions out there. A lot of them may be an objectively better product than AgentForce, but... The best product doesn’t always win. But a good product with great distribution? Almost always does.

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🚀 Onboarding isn’t just a program — it’s a productivity engine. The central challenge for any GTM onboarding team is simple to state but hard to nail: get new hires to full productivity and quota attainment fast. At Gong, we’ve been rethinking what it truly takes to make that happen. I sat down with Danica Schutt and Max Costello White from our GTM Onboarding team to unpack how we’ve structured our onboarding program to do exactly that. From flipped classrooms to AI-driven coaching and deep integration across RevOps, this team has built a machine that’s helping over 70% of new hires hit productivity targets faster than ever. If you’re building or refining your onboarding program, this is a conversation worth reading. https://lnkd.in/gWu_Qsdj

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https://lnkd.in/gpnDG2KT Anthropic and Salesforce today announced an expanded partnership to make Claude a preferred model for Salesforce's Agentforce platform, enabling Salesforce customers in financial services, healthcare, cybersecurity, and life sciences to use trusted AI while keeping sensitive data secure. Additionally, Salesforce is deploying Claude Code across its global engineering organization to help developers build and ship faster, while Anthropic broadens its use of Slack

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Integration sprawl = stalled innovation. A unified approach to data, integration, and automation changes the game 📈 See how Boomi drives growth and cuts costs in this Forrester TEI report: http://spklr.io/6048EyBDo #TeamBoomi

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Zendesk has signed a definitive agreement to acquire Forethought, which will take #ZendeskAI's ability to learn from every interaction and will amplify it across every channel and platform. Read more: https://lnkd.in/gwx6DSS3

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