Production AI. Engineered, Not Assembled.
Pre-formed AI engineering Squads that design, build, test and ship production AI - using an AI-native engineering harness, not a headcount spreadsheet.
Problems our AI Squad has already solved.
Not a pitch about what a Squad could do - a record of what one has already shipped, in production, for enterprise problems like yours.
Churn was visible only after it happened.
Customer health signals were scattered across support tickets, usage logs, and renewal notes - risk was invisible until an account was already gone.
Failures spanned systems no single tool could see across.
Transaction failures crossed Oracle Fusion, OIC, and multiple integrated systems. Native tooling flagged failures but couldn't explain the cross-system cause.
Agentic workflows had no way to recover mid-run.
A break in a multi-hop agentic workflow meant a human tracing the chain by hand to find where it failed - with no standard recovery path.
Get the same AI Squad for problems like this, inside your enterprise. See how →
Your AI Squad
One pre-formed team with the exact role mix required to move an AI initiative from specification to production.
AI Solution Architects
Own the architecture decisions - model selection, agent design, integration points
Sits with your product team from week one, spec-first
AI engineering with an engineering system behind it.
Not a pitch about what a Squad could do - a record of what one has already shipped, in production, for enterprise problems like yours.
Experience with cloud environments such as AWS, GCP, or Azure
AI-generated output is reviewed and tested rather than shipped unchecked.
Evaluation suites run as part of the delivery process, not bolted on afterward.
Every ship is traceable back to a specification and a review.
The result: AI delivery that's inspectable and repeatable - not person-dependent. ADEP™ isn't a small implementation detail behind the Squad. It's the reason the Squad's output is consistent, auditable, and doesn't depend on which engineer happened to build it.
How the Squad works
Pre-formed pod
The right role mix from day one - not resumes stitched together after hiring
Academy-trained
Every engineer completes ThoughtMinds Academy's six-week AI practitioner program before entering a client engagement - engineers arrive AI-ready.
Elastic, without restarting hiring
An active bench and candidate pipeline let a Squad scale or specialize as the program grows - without the customer restarting a hiring cycle.
Auditable by design
Every ship is traceable back to a spec and a review - the delivery process, not just the output, is inspectable.
Your AI Ops Squad
Once AI is in production, a dedicated operating capability keeps it reliable, safe and cost-efficient.
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OpsAgent™-Augmented Support
Known-issue resolution handled by OpsAgent™ before a human is paged
Escalations arrive pre-triaged with root cause attached
OpsAgent™-Augmented Support
Known-issue resolution is automated before a human is paged. Escalations arrive pre-triaged, with root cause attached - so your team spends time on what actually needs a person.
Choose how embedded you want us.
Dedicated Squad
A fully embedded AI engineering capability, working exclusively on your program from spec to production.
Fractional Squad
Specialist capability when your program doesn't require a full team - scoped to exactly what's needed.
Build–Operate–Transfer
ThoughtMinds builds and operates the capability, then transitions it fully to your team.
Production AI. Engineered, Not Assembled.
A pre-formed AI Squad brings architecture, agent engineering, data and governance, platform reliability and evaluation together. ADEP™ turns that capability into a repeatable, traceable delivery process. And your AI Ops Squad keeps what gets built reliable, secure and cost-efficient in production.