Orkes

There's nothing quite like hearing customers tell the story of your product better than you ever could. That's what made our first Orkes Shift '26 so special. LinkedIn shared how they're using Conductor to coordinate teams of AI coding agents, with 40 features shipped in a single month. They also showed how theyre bringing AI agents into their existing business automation platform. Bumble Inc. showed how they rebuilt their trust and safety processes with Conductor, replacing seven handoffs with a single workflow. Changes that previously took quarters now take days, and theyre gradually introducing AI into these workflows. Twilio shared how they moved off their homegrown workflow engine to Orkes. They're now running 54,000 concurrent workflows, orchestrating computations across billions of rows of data, and saving over $1 million annually. Its one thing to build a product. Its something else to see what customers are doing with it, at a scale we couldnt have imagined a few years ago. We also got to share some of the new things weve been working on at Orkes and where were headed next. A big thank you to our customers who shared their stories, everyone who joined us, and the Orkes team that pulled this together. A great first Shift! https://lnkd.in/gNkyUNyp

AI agents are easy to prototype. Hard to run in production. Orkes is the Agentic Orchestration Platform, born from Conductor OSS, built to: • Run production-grade AI agents • Orchestrate microservices and APIs • Power enterprise scale workflows From experimentation to execution, orchestration is the difference.

Most financial AI projects stall after the pilot stage. Drawing on Gartner's research and six production deployments at global banks, capital markets firms, and insurance platforms, this whitepaper breaks down the five-layer production stack that separates a working agent prototype from a deployment you can trust with a payment, a compliance decision, or a customer-facing action at enterprise scale.

Most AI agents fail in production. Not because of the model, but because of the missing infrastructure around it. Building reliable agents at scale requires more than picking the right LLM. It requires a production stack built for the real world. Introducing the 5-Layer Production Stack your AI agents actually need: Layer 1: Durability keeps agents alive through crashes, restarts, and deploys. Layer 2: Coordination manages multi-agent pipelines that don't lose state. Layer 3: Safety & Control adds guardrails, human-in-the-loop, validation, and credential management. Layer 4: Observability lets you see every step: query, replay, and debug. Layer 5: Evaluation measures the accuracy, reliability, and performance of autonomous agents. Stop duct-taping your agent stack together. Orkes gives you all five layers, out of the box.

What happens to your AI agent when the process it runs in crashes? If the answer is "it dies and we start over," you're not alone — and you're not in production-ready territory. Join Orkes on June 11 for a live session on durable AI agents. We'll kill agents mid-execution on stage, resume them from the exact step, and show how Agentspan (open sourced by Orkes) adds crash recovery, retries, HITL pauses, and full observability to your existing agents. With Agentspan, you can build, run, and observe agents with durability as a first principle from day one. Or bolt it onto existing frameworks like LangGraph, OpenAI Agents SDK, or Google ADK in a single line of code. https://lnkd.in/gPKcgxt9 Two sessions to cover every region: 11 AM CT for Americas/EMEA, 7 PM CT for APAC. See you there!

Lightweight open-source agent frameworks weren't built for the enterprise. Agentspan was. Orkes Conductor's open-source framework brings governance, auditability, and durable orchestration to AI agents—so you can ship production-grade agentic workflows at scale. Unlike lightweight agent frameworks focused only on reasoning loops, Agentspan combines agent execution with Conductor’s enterprise orchestration capabilities, enabling organizations to run secure, long-running, and reliable AI workflows at scale. https://orkes.io/agentspan