AI StrategyRight-sized AI strategy.
Informed by your mission and values.
beneAI partners with mission-driven organizations in Colorado and beyond to understand, navigate, and leverage AI responsibly, informed by mission, values, and available resources.
For nonprofits, philanthropies, governments, trade associations, advocacy groups, and other mission-driven organizations.
Take a proactive approach to AI.
Artificial intelligence is here whether we like it or not. Staff are experimenting with tools. Your software vendors are adding AI into their platforms. Boards are beginning to ask how AI is governed and what your strategy is. Organizations that develop coherent strategy will direct AI toward mission impact. Organizations without strategy will find AI reshaping their operations in ways they did not choose, do not oversee, and cannot easily course-correct.
Reactive adoption is already costly.
Without strategy, AI enters the organization through individual staff decisions, vendor pitches, and disconnected pilots. The result is duplicated tooling, inconsistent governance, inequitable outcomes, and investments that never compound into capability. Strategic planning converts scattered experimentation into coherent capability.
Mission risk is real and visible.
AI failures in service delivery, equity, accessibility, and public trust are already shaping the sector. Organizations without governance frameworks, stakeholder alignment, and clear evaluation practices face exposure that responsible AI strategy is designed to prevent. A mission-aligned strategy builds the guardrails before the stakes rise further.
The regulatory floor is rising.
State and federal AI regulations are arriving quickly, with more expected over the next twelve to twenty-four months. Organizations with documented strategy, governance, and evaluation practices will be positioned to comply. Organizations without will scramble to catch up. Strategy built today anticipates the statutes of tomorrow.
Ground your AI strategy in evidence, not assumption.
The AI Change Management Assessment is a proprietary capability maturity model developed by beneAI through primary and secondary research on AI adoption across sectors. It evaluates organizations across seven domains, scoring each on a five-level maturity scale from Nascent to Pioneering. The result is a quantifiable baseline, a clear view of what advanced AI maturity looks like for mission-driven organizations, and a set of evidence-based recommendations for advancing maturity today.
Policy, ethics, operational oversight, board engagement, risk assessment, and vendor procurement.
AI literacy, learning and development, culture and change management, job design, equal access, and recruitment.
Strategic planning, theory of change, leadership buy-in, investment alignment, and horizon scanning.
Data hygiene and quality, consent and rights, ownership and portability, bias mitigation, and knowledge management.
Process diagnostics, task audits, workflow redesign, human-AI handoffs and oversight, and monitoring and iteration.
Prompt management, integration architecture, workflow orchestration, agentic capabilities, and tool selection.
Measuring value, explainability, quality assurance, harm auditing, environmental ethics, and sector sharing.
A structured path from assessment to measurable impact.
Parallel or integrated AI strategy, you decide.
Your AI strategy may be a standalone plan that runs alongside existing strategy or a set of goals and objectives woven directly into it.
A standalone AI strategy alongside your existing plan.
An AI strategy developed as a dedicated plan that runs alongside the organization's existing strategic direction. Recommended when the organization is mid-cycle on its core strategy, when AI requires dedicated focus and resourcing, or when a standalone AI strategy is useful for board engagement, funder communication, and internal clarity.
AI strategy woven into your existing strategy.
AI considerations and strategy developed within and embedded into the organization's existing or emerging strategic plan. Recommended when the organization is beginning a new strategic cycle, when AI will be transformational to mission delivery, or when leadership wants AI treated as core to operations rather than as a separate workstream.
Two engagement options.
Both are grounded in the same methodology and shaped to your organization's scope, timeline, and readiness.
The AI Playbook
A focused advisory engagement for leadership teams seeking a clear, evidence-based path forward. beneAI conducts baseline research on current AI use and internal perspectives, identifies priority opportunities across the seven domains, and delivers a prioritized strategic plan with foundational guidance on upskilling, governance, and deployment. Recommended for organizations seeking clarity and direction before committing to a deeper strategic engagement.
- Baseline research with leadership
- Seven-domain maturity assessment
- Opportunity identification
- Prioritized strategic recommendations
- Foundational guidance on upskilling, governance, and deployment
The AI Strategic Plan
A comprehensive strategic planning engagement that brings together the full range of organizational stakeholders: board, staff, volunteers, clients, and constituents. beneAI conducts deep research, facilitates multi-stakeholder engagement, and develops every workstream in detail, including upskilling programs, governance frameworks, and deployment strategy for internal and external AI use. The engagement concludes with a second AI Change Management Assessment that quantifies maturity gains against the baseline, delivering an evidence-based view of progress across all seven domains.
- Deep baseline research
- Multi-stakeholder engagement across board, staff, volunteers, clients, and constituents
- Seven-domain maturity assessment
- Opportunity identification across internal and external use cases
- Upskilling program design and rollout
- Governance framework development
- Internal and external deployment strategy
- Parallel or integrated shape determined in phase one
- Ongoing adaptation and course correction
- Closing maturity re-assessment measuring progress against baseline