12–18 Months
Enterprise Deployment
Multi-wave rollout with internal certification hierarchy, governance, training, project portfolio tracking, and planned internalization. You own the system.
$250,000 – $750,000+
The Deployment Process
1
Phase 1 — Executive Command
Weeks 1–4
- Leadership AI fluency tied to your real operating model
- Clear rules of engagement for risk, data, and usage
- AI readiness scorecard and opportunity pipeline
2
Phase 2 — ROI-First Roadmap
Weeks 4–8
- Identify 15–30 opportunities across functions
- Prioritize by EBITDA impact, feasibility, and time-to-value
- Define KPIs and financial validation approach
3
Phase 3 — Build Internal AI Operators
Months 3–6
- Train a core group to design, run, and maintain AI workflows
- Create standard work, templates, and adoption routines
- First wave of implemented initiatives with measured wins
4
Phase 4 — Scale + Internalize
Months 6–18
- Wave-based rollout by department
- Governance and reporting cadence
- Planned internalization so the capability becomes permanent
What you get
- Multi-wave rollout by department
- Internal certification hierarchy for AI operators
- Governance, training, and project portfolio tracking
- Planned internalization — you own the system
- Executive reporting cadence and KPI dashboards
- Continuous improvement cycles with quarterly strategic reviews
Ready for Enterprise AI Deployment?
Every enterprise engagement starts with an executive conversation. We'll assess your current state, define measurable outcomes, and build a deployment plan that delivers ROI.
Discuss Enterprise Deployment