Product · Bronze / Advisory · Stage 01–02

Data Strategy & AI Readiness

A multi-phase roadmap connecting your data priorities to organizational goals, funding requirements, and program outcomes — built directly on your DMA results. Not in the abstract.

What's Included

A clear path — not a document to shelve.

Data strategy at Bronze is a structured toolkit — frameworks, templates, and a scoring system — that your leadership team uses to build a shared roadmap. At Advisory, SSA builds it with you in a facilitated engagement with board-ready output.

  • Data Strategy Alignment Framework — connect data priorities to mission and funding
  • AI Readiness Assessment — structured evaluation of what governance, quality, and infrastructure conditions need to be in place before AI delivers reliable results
  • Roadmap template — phased, prioritized by DMA domain scores
  • Executive one-pager template for board and funder communication
  • Technology landscape evaluation rubric
  • AI governance starter checklist
Bronze Pillar 3

Data Strategy & AI Readiness

The third pillar of the Bronze Buy-In Package — frameworks and templates that build directly on your DMA results. Designed to be completed without SSA facilitation.

Why AI readiness starts with data governance: AI cannot produce reliable results on ungoverned data. The AI Readiness Assessment identifies the governance, infrastructure, and data quality conditions that need to be in place first — before evaluating which AI tools to adopt.

The AI Readiness Framework

Five conditions for responsible AI adoption.

The AI Readiness Assessment evaluates five conditions against your organization's current state. Each condition is scored on a 1–3 scale (Not Ready / Partially Ready / Ready), producing a composite readiness level with a prioritized remediation list.

Condition 01

Data Governance

Shared definitions, documented ownership, policies in place. Without this, AI outputs cannot be validated or explained.

Condition 02

Data Quality

Consistent, reliable data at the input layer. AI amplifies data quality problems — it does not correct for them.

Condition 03

Infrastructure Readiness

Integrated systems with documented pipelines. AI tools need consistent, accessible data — not manual exports.

Condition 04

Staff Capability

Ability to interpret, validate, and oversee AI outputs. AI literacy, not AI replacement.

Condition 05

Ethical & Policy Framework

A documented AI use policy, bias review process, and stakeholder communication plan. Emerging funder requirement.

Output

Composite Readiness Score

Scored level + prioritized remediation list. Which condition to fix first, and what fixing it looks like.

Bronze · Pillar 3

Included in the Bronze Buy-In Package.

$1,299 launch pricing · Self-guided · Includes DMA + governance templates + data strategy + AI readiness frameworks

Begin with the Free Assessment →