AI Initiative Leadership & Delivery
Contracted Execution Package Typical engagement: 3–6 months | Structured as a fixed-scope project or monthly fractional leadership
Purpose You retain Citadel Kinetic Intelligence to own and drive a defined AI initiative end-to-end. We take responsibility for turning a prioritized use case into a working, documented, and transferable system — not just advising from the sidelines.
What This Covers
Full ownership of the initiative from refined requirements through design, build, testing, shadow-mode validation, and clean operational handover
Day-to-day technical and project leadership so your internal team stays focused on core operations
Engineering discipline applied to data realities, security boundaries, operator adoption, and measurable outcomes
Clear governance, progress checkpoints, and decision points so leadership retains visibility and control
How We Work
Alignment & Scoping – Lock the exact problem, success metrics, constraints, and decision rights.
Design & Build – Architect and implement the solution (custom agent, workflow, edge system, or hybrid) with continuous feedback from operators and stakeholders.
Validation & Hardening – Shadow-mode testing, edge-case handling, documentation, and operator training.
Handover & Stabilization – Full knowledge transfer, runbooks, and a defined support window so the capability remains kinetic after our formal role ends.
Engagement Models
Fixed-Scope Project — Clear deliverables, timeline, and price for a discrete initiative (most common for first systems).
Fractional AI Leadership — Monthly retainer ($3,000–$6,000) for ongoing ownership of one or more AI workstreams, ideal when the initiative will evolve or expand.
What You Receive
A production-ready (or near-production) system that operators actually use
Complete technical and operational documentation
Trained internal owners and a clear expansion path
Measurable results against the success criteria defined at the start
Why This Model Most AI efforts fail in the gap between strategy and sustained operation. This package closes that gap by putting experienced engineering leadership inside the work itself — accountable for delivery, not just recommendations.
Contracted Execution Package Typical engagement: 3–6 months | Structured as a fixed-scope project or monthly fractional leadership
Purpose You retain Citadel Kinetic Intelligence to own and drive a defined AI initiative end-to-end. We take responsibility for turning a prioritized use case into a working, documented, and transferable system — not just advising from the sidelines.
What This Covers
Full ownership of the initiative from refined requirements through design, build, testing, shadow-mode validation, and clean operational handover
Day-to-day technical and project leadership so your internal team stays focused on core operations
Engineering discipline applied to data realities, security boundaries, operator adoption, and measurable outcomes
Clear governance, progress checkpoints, and decision points so leadership retains visibility and control
How We Work
Alignment & Scoping – Lock the exact problem, success metrics, constraints, and decision rights.
Design & Build – Architect and implement the solution (custom agent, workflow, edge system, or hybrid) with continuous feedback from operators and stakeholders.
Validation & Hardening – Shadow-mode testing, edge-case handling, documentation, and operator training.
Handover & Stabilization – Full knowledge transfer, runbooks, and a defined support window so the capability remains kinetic after our formal role ends.
Engagement Models
Fixed-Scope Project — Clear deliverables, timeline, and price for a discrete initiative (most common for first systems).
Fractional AI Leadership — Monthly retainer ($3,000–$6,000) for ongoing ownership of one or more AI workstreams, ideal when the initiative will evolve or expand.
What You Receive
A production-ready (or near-production) system that operators actually use
Complete technical and operational documentation
Trained internal owners and a clear expansion path
Measurable results against the success criteria defined at the start
Why This Model Most AI efforts fail in the gap between strategy and sustained operation. This package closes that gap by putting experienced engineering leadership inside the work itself — accountable for delivery, not just recommendations.