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Anthropic says it hit a $30 billion revenue run rate after 'crazy' 80x growth OpenAI voice models get GPT-5-class reasoning AI agent identity: how to govern agentic AI in 6 stages Anthropic wants to own your agent's memory, evals, and orchestration — and that should make enterprises nervous Enterprise GPU utilization: why 95% of AI infrastructure spend is wasted Governance, not gatekeeping: How SAP brings enterprise‑grade safety to AI connectivity Anthropic introduces "dreaming," a system that lets AI agents learn from their own mistakes RL orchestration: how a 7B model routes tasks across GPT-5, Claude, and Gemini Meet ZAYA1-8B, a super efficient open reasoning model trained on AMD Instinct MI300 GPUs Anthropic Skill scanners passed every check. The malicious code rode in on a test file. Why AI breaks without context — and how to fix it Market research is too slow for the AI era, so Brox built 60,000 identical 'digital twins' of real people you can survey instantly, repeatedly The app store for robots has arrived: Hugging Face launches open-source Reachy Mini App Store with 200+ apps Scaling AI into production is forcing a rethink of enterprise infrastructure Miami startup Subquadratic claims 1,000x AI efficiency gain with SubQ model; researchers demand independent proof. GPT-5.5 Instant shows you what it remembered — just not all of it One command turns any open-source repo into an AI agent backdoor. OpenClaw proved no supply-chain scanner has a detection category for it AI agents are missing all the discussions your team is having. SageOX has an answer: agentic context infrastructure OpenAI turns its sold-out GPT-5.5 party into a monthlong Codex giveaway for 8,000 developers Inside AMEX’s agentic commerce stack: How intent contracts and single-use tokens enforce AI transactions Microsoft takes Agent 365 out of preview as shadow AI becomes an enterprise threat The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next Salesforce Agentforce Operations fixes workflows breaking enterprise AI MCP command execution flaw: what security teams need to know The scaffolding era is over. LlamaIndex says context is the new moat xAI launches Grok 4.3 at an aggressively low price and a new, fast, powerful voice cloning suite Hidden IT problems are quietly creating risk, shadow IT, and lost productivity Alibaba's HDPO cuts AI agent tool overuse from 98% to 2% One tool call to rule them all? New open source Python tool Runpod Flash eliminates containers for faster AI dev Why OpenAI's 'goblin' problem matters — and how you can release the goblins on your own
Intuit will show off how it rebuilt its AI infrastructure...
Bridget Botelho · 2026-06-24 · via VentureBeat

Customer expectations have shifted from simple, fast conversational interactions to complex agentic AI-powered tasks that legacy IT architectures simply can’t handle. 

To address this, Intuit made the bold decision to overhaul its technical infrastructure for its business platform. The company moved away from its multi-agent setup, which prioritized broad capabilities, to a granular, skill-and-tool-based architecture while embedding human experts directly into the workflow alongside AI. This shift involved decomposing its massive agents into specialized components, separating the brain from the hands, essentially.

"We went from a multi-agent system where we had large agents that did a lot to fully incorporating workflows, skills and tools down to the base level,” said Nhung Ho, VP of AI at Intuit. “We changed the orchestrator, we changed the planner, we changed the brain, and we also changed what everybody had to build across the whole company."

At VB Transform 2026 on July 14 and 15, Ho will share details about the technology decisions behind building an abstraction layer behind Intuit’s system of intelligence. She’ll also share how the new architecture has allowed the company to decouple its orchestration from specific model providers, allowing Intuit to remain agile and use the best tools for the job, whether from large model providers or their own home-grown tools.

Other VB Transform sessions focused on agentic orchestration include: 

  • From signals to shelves: How Target is engineering Agentic AI for the right product, right place, right time with speaker Siobhan McFeeney, SVP Technology, Target;

  • The engineer's multiplier: How Instacart uses agentic AI to eliminate toil, elevate teams and slash costs with speaker Anirban Kundu, CTO, Instacart;

  • MCP connection isn't orchestration: Building the agent execution layer with Arnab Bose, chief product officer, Asana;

  • Building the agentic workforce: A blueprint for scaling AI operations without the sprawl with Romit Jadhwani, Sr. Director, Enterprise AI, Data & Productivity, Rivian and Craig Wiley, VP of AI, Databricks; and 

  • Inside Atlassian’s Living Lab: Deploying context-aware agents at scale with Dr. Molly Sands, head of the Teamwork Lab at Atlassian

Interested in attending VB Transform 2026? Register here. A select number of complimentary passes are also available to senior technology leaders. Contact us to get yours.