Executive AI Advisory Engagements
Structured executive mandates for disciplined AI governance, capital alignment, and measurable enterprise value.
Horizon SPI works directly with founders, CEOs, and senior leadership teams navigating high-stakes AI decisions.
We do not sell AI tools.
We do not implement software.
We advise leadership teams on how to govern AI adoption with strategic clarity, disciplined capital allocation, and executive accountability.
Three Executive Advisory Mandates
Each program addresses a distinct stage of AI leadership maturity — from strategic clarity to structured execution oversight.
Choose the advisory mandate aligned with your organization’s current strategic decision horizon.

AI Strategy & Governance Mandate
Duration: 6–8 weeks
A defined executive advisory mandate for organizations requiring structured AI governance, capital discipline, and enterprise-level control.
Structured Phases:
• Executive AI exposure & readiness assessment (Weeks 1–2)
• Governance architecture design (Weeks 3–5)
• Capital allocation guardrails & authority mapping (Weeks 5–6)
• Board-ready executive framework & sequencing roadmap (Weeks 7–8)
Outcome:
A formalized AI governance and control structure aligned to enterprise strategy and measurable business objectives.

Executive Clarity Sessions
Duration: 2–4 weeks (Focused Advisory Sprint)
Targeted executive working sessions for leadership teams evaluating AI direction before committing capital or engaging vendors.
Format:
• 2–4 structured executive sessions
• Risk and opportunity mapping
• Authority & accountability definition
• Investment sequencing logic
Outcome:
Documented executive position on AI direction, risk exposure, and next-step decision framework.

Executive Oversight Partnership
Engagement Term: Quarterly Advisory Cycle
Ongoing executive advisory partnership for organizations already deploying AI and requiring disciplined governance and performance oversight.
Structure:
• Monthly executive review sessions
• KPI-linked AI performance assessment
• Governance reinforcement & risk monitoring
• Quarterly board-ready reporting summary
Outcome:
Sustained executive control, measurable AI performance, and capital discipline over time.
Strategic Clarity Before Capital Commitment
Before budgets are approved, vendors engaged, or enterprise models deployed, leadership must determine:
• Where AI can generate measurable enterprise value
• Where governance risk currently exists
• What leadership structure and accountability are required
The first decision is not technology.
It is strategic clarity.
