Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

At Tines, we use our workflow orchestration and AI platform to power our mission-critical processes, and the Revenue Operations team is no exception. In this post, we’ll share how we use Tines to automate a key part of our go-to-market motion: lead management. The workflow we’re sharing powers every inbound lead we receive, whether it comes from a demo request, a webinar sign-up, or a bulk CSV upload from the marketing team.

Model Context Protocol (MCP) is gaining traction because it enables LLMs to interact with live systems and enhance context by retrieving and managing relevant real-time information. LLMs can’t query Salesforce, trigger an Okta password reset, or fetch context from your SIEM, for example. MCP bridges that gap by connecting AI models to real-world APIs, powering AI applications like retrieval-augmented generation and multi-step agent workflows. They’re fast to deploy.

Over the past few months, the team has been working on some pretty cool things for the Tines platform. Check out this video for the biggest highlights, or use the following timestamps to jump to a specific topic.

At Tines, our mission is to power the world’s most important workflows. That extends to how you implement and control AI across your business. We're excited to introduce the ability to build Model Context Protocol (MCP) servers directly on your Tines storyboard.

Today, Tines has been recognized by Wiz as a winner in the inaugural WIN awards, earning the WINspiration Award for its outstanding partnership. This recognition highlights Tines’ track record of delivering real outcomes for joint customers through the WIN program. Launched in 2023, WIN is Wiz’s open, bidirectional integration ecosystem that now includes over 200 partners — setting a new standard for integrated cloud security.

Last week, we hosted the Product Spotlight: Build agents in Tines, and it was a hit. We had so many questions that we couldn’t answer them all live, so we’re continuing the conversation here. Before we jump into the Q+A, here’s a quick recap of the webinar in case you missed it: In this session, Head of Product Stephen O'Brien introduced the AI Agent action and shared how it builds on our ongoing evolution of workflows.

The 2025 SANS SOC Survey reveals that while technology keeps evolving, the core problems facing SOC teams remain stubbornly in place. Teams are understaffed. Tool sprawl is growing. And performance metrics often miss the mark. Many SOCs lack the workflows, strategy, and staff to connect tools, streamline processes, and reduce manual work. And now they face a new challenge: making AI actually deliver value. Let’s dig into the key findings.

In this guest post, Eric Newcomer, Principal Analyst at Intellyx, explains why data is essential for building and running effective AI workflows. In the current phase of AI transformation, everyone is discovering many applications for gen AI, especially chats with LLM trained data, public as well as private. One interesting application of AI is building modern workflows to automate operational processes.

In today's workplace, communication tools like Slack or Microsoft Teams are essential for staying connected at work. However, as orchestration and automation needs increase, so does the volume of notifications flooding these channels. What’s meant to streamline work can quickly become overwhelming. We call it "ChatOps fatigue" - when teams get so many alerts, they start tuning them out.

Did you hear the news? You can now build and deploy agents in Tines using the AI Agent action type - an evolution of our AI action! AI on the Storyboard just got even more powerful, with the opportunity to build your workflows as autonomous as you choose with the help of an agent. Using the tools from your tech stack, the agents you build are designed to reason, decide, and act on your behalf. Curious to see it in action?