IWConnect designs, builds, and runs custom enterprise software for companies that have outgrown off-the-shelf tools. We build applications that match how your teams work, connect to the systems you already run, and use AI both to build them faster and inside the product where it removes real work.
Most enterprises do not have a software problem. They have a fit problem. The tools were bought for a generic process, so people close the gap by hand, and the cost compounds every quarter.
We scope to the outcome you need, then build only what earns its place, including AI where it does real work.
Software shaped to your process, so people stop working around the tool and start working in it.
Move aging systems off risk in steps, so the lights stay on while the platform changes underneath.
Your applications share one version of the truth, so no one rekeys data or reconciles reports by hand.
One application your team and customers reach from the desktop and the phone, built once.
We build AI into the application to classify documents, draft responses, and surface the next action. Where plain code or low-code fits better, we use that instead.
We stay after launch for fixes, changes, and upgrades, so the application keeps pace with the business.
Five stages, each with something you can see and sign off on. No black box, and we use AI through the build to speed the routine work so more of the timeline goes to your logic.
We map the workflow, the systems, and the cost of the current process before any code is written.
You get the design, scope, timeline, and a fixed first milestone before the build starts.
AI-assisted coding and test generation speed the routine work, with working software in front of you every few weeks.
Functional, security, and performance testing, so it holds up in production and not just the demo.
We operate it, document it, and train your team, so you are never locked to us.
You do not need a full build on day one. Start where the cost is highest, and expand as the value proves out.
A fixed-scope business needs analysis. You leave with a workflow map, a recommended architecture, and a build estimate you can take to finance.
Best first step when the problem is still fuzzy.
A scoped application delivered in increments, with a fixed first milestone and a working release every few weeks.
Best when scope and priorities are clear.
We operate, monitor, and improve the application after launch under an agreed service level, or hand it cleanly to your team.
Best when the app is business-critical.
Published case studies from production work. Different industries, the same foundation: build to the workflow, connect the systems, and let AI run on top.
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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A global manufacturer unified a fragmented post-merger data estate into one governed, AI-ready Snowflake foundation, making acquisition data integration about five times faster.
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A global retailer turned integration error storms into a self-learning classification pipeline using SnapLogic, Gemini, and Qdrant. Over 90% of recurring errors are now processed automatically.
Read the case studyRead the full library of IWConnect application, data, AI, cloud, and integration case studies.
Browse all case studiesStart with a business needs analysis. You leave with a workflow map, an architecture recommendation, and an estimate you can take to finance.
Most stalled builds skipped the business needs analysis and discovered the real scope mid-project. We fix the scope and a first milestone before the main build, and you see working software every few weeks, so a project in trouble is visible early rather than at the end.
Off-the-shelf fits a generic process and you adapt your operation to it. We build to your process. If a packaged tool is genuinely the better answer, we tell you in discovery rather than sell you a build.
Your team can, because we document and train for it. If you prefer, we run it under an agreed service level. Either way you are not locked to us to keep it running.
It depends on scope, which is what the business needs analysis sets. You leave discovery with a build estimate and a timeline before committing to the full build.
We modernize in steps rather than rip and replace, so existing systems keep running while the new platform comes online behind them.
Start with the discovery engagement. It is fixed scope, and the output stands on its own even if you decide to build with someone else.
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