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Your AI initiative in Production, not stuck in Pilot.
A pre-formed AI Squad that owns the outcome, from specification to a running, monitored system, delivered on ADEP™ against milestones and success metrics agreed on day one.
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.
OUTCOME
At-risk accounts flagged ~45 days earlier. Live in 10 weeks.
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.
OUTCOME
Root-cause time cut from days to minutes. 60% fewer escalations.
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.
OUTCOME
78% of failures auto-recovered. Manual tracing eliminated.
Get the same AI Squad for problems like this, inside your enterprise. See how →
What your AI Squad owns.
One team accountable for everything it takes to move an AI initiative from specification to production.
Architecture decisions
Model selection, agent design and integration points, decided and documented.
Working with your product team from week one, spec-first.
Deliverable: a signed-off specification with acceptance criteria.
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™ is why the Squad's output is consistent and auditable, no matter which engineer built it.
How the Squad works
Outcomes agreed upfront
Business KPIs and acceptance criteria are set at kickoff and reported at every milestone.
Milestone-based delivery
Work is planned and paid for as defined deliverables at defined checkpoints, not hours.
Production or it doesn't count
"Done" means deployed, evaluated and monitored, not a demo or a prototype.
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.
Uptime & rollback
One-click rollback on every model deploy.
Infra parity between staging and production.
Availability target: 99.9%
Choose how you want to engage.
Outcome Sprint
Take one high-value use case from spec to production in 8–12 weeks, with success KPIs agreed upfront.
Product Squad
An ongoing Squad delivering a roadmap of AI outcomes, released and reviewed against milestones, with AI Ops after launch.
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.