Agentic Integration vendor SnapLogic has announced a major expansion of its platform capabilities, including updates focused on Agents, MCP, and AI governance. They also introduced SnapLogic Intelligent Modernizer (SLIM), a groundbreaking addition to the SnapLogic Platform. SLIM streamlines legacy workload migration by supporting modernization processes, developing modern SnapLogic pipelines, and automating testing and documentation. All of this makes it easier and faster than ever for organizations to advance their journey toward becoming an Agentic Enterprise, where AI agents work alongside teams to enable continuous technical modernization. These updates establish SnapLogic as the “central nervous system” of the modern enterprise, connecting, orchestrating, and governing digital workforces while ensuring the data they depend on is AI-ready, trusted, and accessible.
SnapLogic started out doing integration platform as a service [IPaaS], but have moved considerably further.
“We fall into the IPaaS bucket but we do more than that,” said Dominic Wellington, AI and data expert at SnapLogic. “As we expanded, we set out to build a universal connective tissue for the enterprise. We now do all of these data flows, but we’ve expanded. So we have this belief that integration is more than just that and that a single integration fabric that spans multiple domains has more value to our customers rather than a cobbled-together mix of a data transfer tool and a data transformation tool and an API management tool and these days, something to manage AI integration as well, with agentic AI integration.”
Wellington explained how this process worked.
“We’ve set out to build that universal connective tissue for the enterprise that spans all of these domains,” he said. “We started with the data integration piece. We added API management and the new announcements were about the Go Live of our MCP features that we see as the beginning of the next phase of an agentic integration fabric.
“Then the other piece of the puzzle of the announcements is SLIM, which is the SnapLogic Intelligent Modernizer,” he said.
SLIM streamlines legacy workload migration by supporting modernization processes, developing modern SnapLogic pipelines, and automating testing and documentation, in order to significantly reduce cost and complexity associated with preparing IT infrastructure for digital transformation and future demands.
“We realize this is not a greenfield market, that people already have integration middleware, tools that they use, that they rely on, and that they’ve built significant amounts of investment into,” Wellington indicated. “But with what we are proposing, they might have issues with their existing tools. As those tools start to hit their end of life, end of support dates, they don’t feel that they’re in a position to migrate off of those tools because the migration projects are open-ended and they’re risky and expensive. And so they tend to kick the can down the road and just pay up for one more year of extended support and then figure out what to do with it. SLIM is about giving them an escape hatch from that dilemma about saying, look, what if we can significantly reduce the time, significantly reduce the risk of these migration projects, can we bring it down to a level where that comes in reach and then we can deliver that to get you off of these dead-end platforms to get you onto something. This is more future proof and then we can start building the other projects that were delayed or bottlenecked or prevented by having these legacy integration middleware tools in the mix. So that’s how those two announcements go together.”
Wellington said they live in a world now where every single vendor is talking about Agentic AI.
“Customers demand it, and they want to know our strategy,” he said. “SnapLogic has the advantage of pedigree. We built our first AI features in 2017, and we have years of development under our belt. We don’t have to reinvent the wheel, because we didn’t bolt it on yesterday. We at SnapLogic were in the fortunate position that we already had five years of AI development under our belt. We had an in-house AI team. We’d been doing AI research with our chief scientist, who’s Greg Benson. He’s also a professor at the University of San Francisco. And so we were able to hit the ground very rapidly with that.
Wellington then said they looked at how AI can accelerate building pipelines, and how AI can change what people are building.
“That’s when we started down this road of the agent creator, which is a toolkit for people to build their own AI powered experiences. And at the event yesterday, we heard from customers such as Spotify, who were already longtime SnapLogic customers. They were using it for various financial aspects and they were telling how they were adding Agentic AI capabilities to their expense management flows. And so the agent creates a toolkit, gives them a leg up in turn to be able to get started very, very quickly with those projects and deliver them very rapidly because they don’t have to reinvent the wheel of getting access to the data that they need, getting access to the systems that they’re going to have to interact with.
“How do they talk to the LLMs? SnapLogic gives them the dedicated agent snaps that will let them talk to a wide variety of different LLMs. It already has the connectivity to the backend systems and so they can focus on what is specific and differentiating for them in that AI initiative. So I would say that is the key differentiating aspect, that this is not something that we just woke up yesterday and we built on. It’s something that we’ve been working on for a number of years and because we had that head start, we’ve been able to iterate with our customers. We have customers who have been working with this stuff long enough that they’ve already renewed the AI aspects of their annual contracts. So they’re already a couple of years into that. And so we’ve been able to build features in cooperation with our customers in response to how this is used in the real world. We had some hypotheses in version one that didn’t quite work out and there were things that we learned along the way from projects. And so now that we’re at version three of agent creator, we’ve been able to build new features to help with the prompt engineering aspects.”
Wellington said the ability of the agent to visualize things helps you understand the flows of communication between agents because those are non-deterministic.
“That’s a new thing in our industry,” he said. “Most of the previous data integration flows were deterministic. So it was fairly easy to debug the non-deterministic nature of agent flows, necessitating new development tools, but also new debugging tools to understand how that flow is operating. And we anticipate that continuing as the MCP support extends these agentic capabilities beyond agents that are built in the SnapLogic platform and to agents that are built in potentially any platform. So the demonstration that we gave yesterday, we demonstrated a desktop talking to an MCP server that’s running in SnapLogic. We had the hands-on workshop in the morning using a different MCP client front end, but again talking to SnapLogic pipelines operating as MCP servers. That heterogeneous ecosystem plays very well to our strength at SnapLogic in terms of universal connectivity and rapid development. SnapLogic continues to expand the availability of Model Context Protocol (MCP) building on successful proof-of-concept deployments of the MCP Server functionality with key customers.
The new MCP Client became generally available in the November release.
SnapLogic said that new developments bring the Agentic Enterprise to life.
“We use this term because it’s still not completely real,” Wellington said. “There have been many proof of concepts. But now the market is starting to become real. Lots of people have been building pilots and proof of concepts and limited lab bench scale rollouts of AI, but this is a market that’s starting to mature now and people are starting to ask tough questions like ‘really, what is it good for’? What is the concrete ROI of AI? We get the promise that’s not in question, but can we see it do something real? And so that is bringing the agentic enterprise to life for us. It’s making it do something that you can point to on a balance sheet on a scorecard and say we did that and we did that specifically with AI.”
SnapLogic also says they are now able to scale digital agents safely.
“This means we can now build agents and deliver value in over half a day,” Wellington said. “We will show you how we can build an AI agent from scratch from a blank canvas inside of two minutes. And that’s something that we can do with a platform. We had customers there we’re talking about their experiences building initial AI agents that were already delivering value in less than half a day. And so that’s how you make something real – when it’s not a lab project anymore. It’s something that people are using in the real world.”
Wellingtom said that a problem historically in the integration world has been point to point integrations.
“Each of us builds our own little integration and that is no central point of governance and visibility and observability across all of that. That’s the problem that SnapLogic was set up to solve in the previous generation of technology. But we see the potential for exactly the same thing to happen with agents now. Also from the point of view of end users, you’ll have a proliferation of agents and as a user I have to figure out which agent I can ask about what information and what syntax it all responds to. That starts to really undermine the value and the usability of these things. So as the mission that we have at SnapLogic, what we’re trying to deliver is this agentic integration fabric that avoids that problem of sprawl, that gives a central point of control and governance, with one common language and set of development tools, which because of MCP does not mean everything lives in a SNA logic silo. It means anything can connect to everything, but it does so in a way that’s managed and that can scale, that can perform. MCP capabilities assist agents because each SnapLogic pipeline can now act as an MCP server.”
SnapLogic’s Agentic Integration Platform takes an AI-first approach to integration and automation to unify these elements within a single, low-code intelligent platform, ensuring interoperability, security, and trust while transforming siloed data into AI-ready insights.
“To build a truly agentic enterprise, organizations must first get their data AI-ready,” said Jeremiah Stone, CTO at SnapLogic. “Our latest innovations don’t just connect systems – they create a resilient, agentic integration fabric that enables every user, system, or agent to collaborate on trusted data at enterprise scale.
“What this means is that we now have to standardize our data,” Wellington said. “We have to control it, we have to apply automated compliance controls to our data. All of this is known and nobody would disagree with that, but it was always ‘that’s a nice to have.’ Now it becomes a ‘must have’ and gives us new tools to deal with unstructured data.”
SnapLogic is also introducing the Agent Snap, a Snaplex-native execution engine that delivers high-performance, scalable, and observable agent execution. The Agent Snap provides the foundation for human-in-the-loop oversight, allowing teams to build trust in agent performance through visibility, evaluation, and progressive autonomy.
“It’s a graphical environment, where components snap together like Lego bricks,” Wellington said. “They’re then grouped together into snap packs. So you want to get say a single Salesforce snap, you get a whole snap pack for Salesforce that contains specific snaps. At the very least we would have read, write, update, delete. But for the more complex SNAP packs, you’d also have things like batch read, batch update, more specific snaps for a particular domain. LLM snaps are now being packaged up to make them more useful.”
By combining agent creation, governance, and open interoperability with enterprise-grade resiliency and AI-ready data infrastructure, SnapLogic is preparing to empower organizations to move confidently into the agentic era, connecting humans, systems, and AI into one intelligent, secure, and scalable digital workforce.
SnapLogic had seven partners sponsoring partners at their event, including Cognizant, Slalom and boutique partners.
“Our partner ecosystem really spans that wide gamut from the technical infrastructure partners like everyone with a partnership with AWS, the system integrators and the more niche specialized partners,” Wellington stated. “It’s a really healthy ecosystem. We had some great conversations with workshops, and with partners on stage talking about the joint customer successes that we’ve had. So yeah, the channel is a very important part of our go to market because we work with large enterprises and they in turn rely on partners, partners already there and present. So it makes sense for all concerns for us to work closely with the pharma channel ecosystem.”
Wellington said that the partner reaction so far of the partners to SnapLogic’s news has been very positive.
“These have been announcements that have been building for some time, SLIM in particular, the AI modernizer. This has been something that we’ve been working together with partners on. So this is something that it has a plugin architecture, so right now it can ingest legacy integrations from Informatica and IBM. But we have a whole bunch of partners who are integration specialists but not exclusively SnapLogic integration specialists. And so many of them, when we first briefed them about this SLIM project that we were building, they came to us and they said, ‘look, we know decades-old integration implementations are out there because we did them and we know where those are, where the problems are that people are encountering. And we have the in-house skills in those source systems to help you build out the logic and train the models, the AI models that are actually doing the documentation and the migration. And so we’re working very closely with them on, we hope very rapidly accelerating the deployment of these other models, these other plugins, precisely by leveraging the partner’s expertise and helping get the customers off of these dead end platforms into a better place.
“Partners like working with us,” Wellington added. “We are not heavy lift in terms of implementations. It’s more an issue of ‘what should we do,’ and not ‘how should we do it.’ And that is something that,really works out well both for us, for the channel partners and for the customers who get the benefits of that because they’re focusing on more strategic value rather than tactical, ‘keep the lights on’ work.”