Manual handoffs
People re-key and reconcile data between tools that should already talk, so work waits on someone being at their desk.
We connect the applications, data, and processes your business runs on, then make that backbone safe for AI to act on. For leaders who need integration to show up as faster cycle times, lower operating cost, and less risk, not another IT project that stalls.
When systems do not connect, the cost hides in plain sight: slower cycle times, manual rework, stalled AI pilots, and decisions made on stale data. None of it shows up as a single line item, which is exactly why it keeps growing until someone has to deal with it.
People re-key and reconcile data between tools that should already talk, so work waits on someone being at their desk.
AI stalls on access, not the model. Agents cannot safely reach the systems where the work actually happens.
Siloed data means leadership reporting lags reality, so the business reacts late and corrects course after the fact.
Point-to-point fixes pile up, so every new change costs more than the last and the next platform decision gets harder.
Every quarter without a connected backbone adds rework, delays the return on AI, and grows integration debt that someone eventually has to pay down.
We cover the full path from connecting systems to running AI safely on top of them. Here it is for the business, with the technical detail one click away for your architects.
Applications, databases, SaaS, and partners (SAP, Salesforce, Workday, ServiceNow, and more) exchange data reliably, on-premise and in the cloud.
Approvals, exceptions, and workflows run end to end across systems instead of stopping at each handoff.
Your systems are exposed to AI agents through controlled interfaces, so AI can act without direct access to core systems.
Security, approvals, logging, and cost controls are part of the design, not an afterthought.
Two paths, depending on what you need next: the full integration practice, or the AI-ready architecture built on top of it.
Platforms, partnerships, and delivery in depth: SnapLogic, MuleSoft, Boomi, Informatica, TIBCO, and Camunda, plus API management, messaging, and ETL.
Explore Integration SolutionsThe reference architecture, LLM and API gateways, MCP, governance, and patterns that let AI agents read, reason, and act safely across your systems.
Explore AI IntegrationWhen that person leaves, the knowledge leaves too. Pete writes clear, always-current documentation for every SnapLogic pipeline, automatically.
Published case studies from production work. Different industries, the same foundation: connect the systems, trust the data, and let analytics and AI run on top.
Under 30 min
Loan approvals
A European bank connected seven back-end systems through one SnapLogic layer, so loan decisions happen while the customer is still in the branch. Processing is 60 to 80% faster, with 99.5%+ availability.
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5x faster
M&A data integration
A global manufacturer unified a fragmented post-merger data estate into a governed, AI-ready Snowflake foundation, making acquisition data integration about five times faster.
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90%
Errors auto-classified
A global retailer turned integration error storms into a self-learning classification pipeline using SnapLogic, Gemini, and Qdrant. More than 90% of recurring errors are now processed automatically.
Read the case studyRead the full library of IWConnect data, AI, application, cloud, and integration case studies.
Browse all case studiesThe point of connecting systems is not the connection. It is what changes for the business once the connection exists, while most organizations are still stuck on the wrong side of it.
You do not have to commit to a platform migration to find out if this pays off. Start with a short, scoped engagement that gives you a clear picture and a costed plan.
Most integration vendors look the same on a slide. Here is what is different in practice.
We are not reselling one platform. We work across SnapLogic, MuleSoft, Boomi, Informatica, and others, and recommend the combination that fits your stack, not our margin.
Integration is not a side practice for us. We have delivered it across industries and successive platform generations.
Pete, our SnapLogic documentation assistant, is a shipping product our own teams use. We deliver working software, not slide decks.
We treat AI access to your systems as something to control and audit from day one. That is what makes it safe to put in production.
Who this is for. Best fit if you run several disconnected systems and want AI to do real work across them. If you have a single source of truth and no near-term AI plans, you probably do not need this yet.
Bring your two or three most painful system gaps. We will tell you which ones are worth connecting first and what it would take.
Most engagements start with a short, scoped assessment that produces a costed plan, so you see the shape of the investment and the first use case before committing to a build.
Stalls usually come from trying to connect everything at once. We start with one or two high-value use cases, ship them, then reuse the pattern, so value lands early instead of at the end of a multi-year program.
We build with reusable patterns and documentation, and hand over to your team with the records needed to maintain it. Knowledge transfer is part of delivery, not an upsell.
No. We work with what you already run and add to it. We are vendor-neutral, so the recommendation is based on your stack, not a product we resell.
AI reaches your systems through governed interfaces with authentication, approvals, logging, and cost controls. Every action is traceable, the same way regular API traffic is.
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