AI Automation
AI Specialist Team Creation
Stand up a specialist AI team - roles, hiring, onboarding, tooling and the operating model - without stalling the roadmap.
The problem
What's at stake
Hiring AI talent piecemeal produces a team with overlapping tools and no clear ownership. Roadmaps stall while the team debates its own remit.
What Ordinox delivers
How we approach it
- A team charter tied to your AI roadmap
- Role definitions with ownership boundaries
- Onboarding runbook and tooling baseline
- Delivery cadence and success metrics
Scope of work
Capabilities
- Role design (engineering / MLOps / product / applied AI)
- Hiring plan & interview loop design
- Tooling and platform baseline
- Onboarding runbook
- Delivery cadence & metrics
- Managed handover to internal leadership
Typical deliverables
What you receive
- • Team charter & role definitions
- • Hiring plan
- • Tooling & environment baseline
- • Onboarding runbook
Process
How an engagement runs
Discover
Understand goals, constraints and current state.
Assess
Evaluate options against risk, cost and timeline.
Design
Produce the reference architecture and plan.
Build & Operate
Deliver, secure and support the lifecycle.
Questions we ask
How we scope it properly
- What outcomes will the team own within 6 months?
- What in-house skills already exist?
- What must stay in-house vs. co-delivered?
- How will success be measured?
Expected outputs
Where it leads
- • A defined team charter
- • A hiring plan
- • A tooling baseline
- • Managed handover
Related services
Explore adjacent work
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Request a project assessment
Tell us the outcome you need. An architect scopes it - vendor-neutral, no obligation.
FAQ
Common questions
How do engagements start?
With a project assessment - we scope the work before any commitment.
Are recommendations vendor-neutral?
Yes. We recommend what fits your requirements, not a vendor quota.