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Your core systems hold years of records and rules. We don’t replace them. We build an integration layer in your own cloud that lets AI read the context and prepare draft updates, while your staff keep the final say.
Replacing core systems is slow and risky, yet staff lose hours copying information between them. We add a thin layer in your cloud: the AI reads with each person’s permissions and drafts the update, and your systems stay exactly as they are.
We isolate the exact lookups and record updates slowing your staff down and build a clean, maintainable integration layer strictly where value is created.
We map one high-volume daily process end to end—documenting which systems staff consult, where manual re-keying occurs, and which business rules govern valid records.
We build a thin, secure connector layer inside your private cloud that honors each employee’s existing access permissions and paces requests so older systems remain responsive.
AI assistants never overwrite systems of record autonomously. Drafted updates appear side-by-side with source evidence so qualified staff verify and approve in seconds.
After pilot testing and edge cases, we hand over documentation, monitoring and the source code, which you own.
Delivered in six to eight weeks, with an end-to-end thin slice running by week three.
People keep working in software they know, without the lookups and re-keying between systems.
When the approved tool does the lookup, staff have less reason to paste customer or clinical records into public AI tools.
Every committed record carries an explicit human approver and a traceable link to source context.
You own the integration layer. There is no recurring connector fee to pay us.
Prioritize high-return workflows & clear risk review
See this serviceConnect current software without disruptive replacement
You are hereConfidential data protection, accuracy gates & budget caps
See this service04Compact models trained privately on your terminology
See this service05End-to-end engineering loop with human release authority
See this service24 questions across six pillars. You get a score for each pillar, your strongest and weakest areas, and the services that would close the gaps.
Yes. Established systems almost always expose an underlying database view, file exchange, or service interface. We build a protective modernization façade around those interfaces without modifying the legacy application itself.
Not in the way we build it. Reading and writing are separate: the AI gathers context and proposes a draft, and nothing is saved until an authorized person confirms it.
We target a live end-to-end thin slice on one priority task within the first three weeks, then harden security, edge cases, and throughput across weeks four through eight.