AI consulting, NetSuite management, and AI built into NetSuite
We manage NetSuite for manufacturers and other complex organizations — administration, Advanced Manufacturing, SuiteScript — and we build the AI that works inside it: agents that read live ERP data, draft the work, and wait for a human to approve it before anything moves.
Most firms sell you one or the other: an AI shop with no system of record to stand on, or a NetSuite partner who stops at the ERP boundary. Owned separately, the two sides keep breaking on each other's assumptions.
Trusted by
AI consulting, and custom NetSuite AI that runs in production
The clearest evidence of how we build AI is the ticket-triage agent we run against our own helpdesk, not a client's. It holds a read-only NetSuite role, drafts a proposed fix for every incoming ticket, and posts it as a private note that one of our engineers approves or rewrites before anything moves. That is what our AI consulting is grounded in: an agent we ship and operate ourselves, inside the same ERP we manage for clients.
NetSuite management for industrial manufacturers
Our reference engagement is with an oilfield sealing products manufacturer running NetSuite Advanced Manufacturing in production — BOMs, routings, work-order completion, capacity planning and the costing that all of it feeds, with ongoing managed administration underneath it. The same account also runs operational dashboards built directly inside NetSuite: work-order completions by location, customer pricing, and a live sales-quote view, all reading current NetSuite data instead of an overnight export. See the NetSuite work for the module detail.
Multi-entity dental groups, on the systems they can't replace
Denticon, Dentrix Enterprise and Cloud9 Ortho each run one office or one system well, and none of them were built to answer a question about the whole group. Our dental service organization clients run their data through a medallion lakehouse on Microsoft Fabric instead, reported to executives through Power BI.
The engineering underneath both verticals, for organizations in neither
Manufacturers and dental groups are where our deepest proof sits, not the edge of what we do. The capabilities behind that work stand on their own, for any organization whose operations depend on systems that have to keep working.
Infrastructure modernization The servers, identity and endpoints a business already depends on, moved onto something current and then kept current.
Data engineering and pipelines Data taken out of the systems that hold it and landed somewhere a question about the whole business can be answered, the way it works across a dental group's offices.
DevOps Environments, releases and the path to production handled so that shipping a change is routine instead of an event.
Analytics and BI reporting Operational and executive reporting built on numbers that reconcile, current enough that someone will actually decide from them.
Software implementation A new system put into production and fitted to how the business already works, including the software written to connect it to everything around it.
Legacy system support An older system kept running, and kept reporting, for as long as there is no honest case for replacing it.
Numbers, with the proof beside them
Across multiple DSO tenants running Denticon, Dentrix Enterprise and Cloud9 Ortho, with roughly 1,800 managed endpoints.
TA LifeCycle Manager has three separate production deployments: one manufacturer, two dental groups, each fully isolated from the others.
Concurrent client engagements spanning NetSuite consulting, DSO data engineering and custom platform delivery.
No engagement has ended by client choice. References available on request.
Custom software where the system of record has no API
Denticon has no write API. Cloud9 deprecated the one it had. NetSuite gives you SuiteScript and SuiteQL instead of a REST endpoint for the field you need changed. TA LifeCycle Manager, one platform provisioning and removing employee access from the HR system of record, exists for exactly that reason.
Case studies that name the problem
Every case study names the problem, the systems involved and the work: a multi-location oilfield sealing products manufacturer and three dental service organizations, each one written around what was solved rather than who it was solved for. The four clients are named in the row at the top of this page.
Start with what's actually broken
Tell us which system you're stuck on — NetSuite, a practice-management platform, or a report or workflow nothing you own currently produces — and we'll tell you what fixing it looks like. If it's quicker to talk it through, book a call.