Every AI role the build needs. One Squad.
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.
CUSTOMER RISK
Account risk had no early warning system.
Health signals existed across tickets, usage, and renewals. Nothing connected them until the account was already gone.
AI SQUAD SHIPPED
Adaptro™ - agentic health scoring across usage and support data, with a live risk dashboard.
CROSS-SYSTEM DIAGNOSIS
Transaction failures had no traceable root cause.
Transaction failures crossed Oracle Fusion, OIC, and multiple integrated systems. Logs showed what broke, not why.
AI SQUAD SHIPPED
A causal inference layer that traces cross-system failures to one root cause.
AGENTIC RELIABILITY
Broken agentic workflows had no recovery path.
When a multi-hop workflow failed, someone traced it by hand. No visibility, no standard way to recover.
AI SQUAD SHIPPED
Continuum - a recovery layer for agentic workflows, built spec-first against a full PRD.
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.
The delivery system the Squad runs on.
Every Squad delivery runs through ADEP™ - spec to ship, the same five steps, every time.
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.
Scales without rehiring
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.
LLMOps / MLOps Engineers
One-click rollback on every model deploy.
Infra parity between staging and production.
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.