Before tools, before talent, before data, alignment. Define why AI matters to the business, what the C-suite has agreed to, and where sponsorship actually sits.
65% of PH organizations remain stuck in AI proof-of-concept
Executive sponsorship3/5
1 · No clear owner5 · CEO-led, board-backed
Strategy linkage3/5
1 · Disconnected experiments5 · Embedded in strategic plan
Section 02
AI Readiness Assessment
Rate your honest current state across the six readiness dimensions. We separate individual AI adoption (people using ChatGPT) from organizational AI capability (the company shipping AI products).
83% ChatGPT adoption among PH professionals, adoption ≠ capability
Identify the two or three AI initiatives most likely to move the P&L. Be specific. 'Customer service AI' is not a use case, 'AI deflection on Tier-1 GCash disputes' is.
92% of PH orgs use AI in some form, most without strategic focus
Definition3/5
1 · Vague ideas5 · Scoped with KPIs
Confidence3/5
1 · Speculative5 · Validated with data
Section 04
Talent & Workforce Strategy
Talent shortage is the #1 barrier to scaling AI in the Philippines. Your plan must address build vs. buy vs. partner, and reskilling the non-technical workforce.
57% of PH leaders cite talent shortages as the top AI barrier
Upskilling3/5
1 · Ad hoc, individual5 · Role-based curriculum
Learning maturity3/5
1 · No structured learning after onboarding5 · Quarterly sprints, communities of practice, AI demos
Section 05
Governance & Security
AI without guardrails is a regulatory and reputational time bomb. Define policy, ownership, red lines, and incident response, before scale, not after.
40% of PH executives cite security & privacy as a top AI concern
Policy3/5
1 · None5 · Published, training-backed
Governance body3/5
1 · No5 · Active, cross-functional
Security3/5
1 · Unmitigated5 · Tested, monitored, audited
Staging discipline3/5
1 · Deploy straight to production5 · Shadow → Canary → Full rollout with automated gates
Section 06
Data & Infrastructure Readiness
AI runs on data and platform. Audit honestly: do you have the cloud, the pipelines, and the governed datasets, or are you still extracting from spreadsheets?
The substrate question. If the data is broken, the model is theater.
1 · Slow, ticket-based5 · Self-serve with controls
Vendor mgmt3/5
1 · Ad hoc procurement, shadow IT5 · Centralized catalog, tracked licenses & DPAs
Custom builds3/5
1 · None, only off-the-shelf5 · Portfolio of production internal tools
Self-hosted3/5
1 · 100% reliant on public APIs5 · Production self-hosted inference with autoscaling
Evals3/5
1 · Vibes-based / spot checks5 · Automated eval suite gating every deploy
AI CI/CD3/5
1 · Manual changes in production5 · Full GitOps for prompts, models & agents
Section 07
90-Day Execution Roadmap
What will you actually ship in the next 90 days? This is where strategy meets calendar. Name initiatives, owners, and the one metric that will tell you it's working.
Strategy is what you put on the calendar. Everything else is a deck.
Change mgmt3/5
1 · Likely to stall5 · Owned, communicated, resourced
Section 08
Board-Level Strategic Summary
The board does not want use case lists. They want the bet, the risk, and the number. Capture the position you would defend in a 10-minute board slot.
One page. If you can't fit it on one, you don't have it yet.
"The strategic challenge is no longer adoption, it's moving from experimentation to scaled execution."