AI Strategy, Consulting & Governance for Nonprofits, Foundations & Government | Denver, Colorado | beneAI
Why Now

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.

Gauging Your Baseline

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.

01Governance

Policy, ethics, operational oversight, board engagement, risk assessment, and vendor procurement.

02Talent

AI literacy, learning and development, culture and change management, job design, equal access, and recruitment.

03Strategy

Strategic planning, theory of change, leadership buy-in, investment alignment, and horizon scanning.

04Data

Data hygiene and quality, consent and rights, ownership and portability, bias mitigation, and knowledge management.

05Workflows

Process diagnostics, task audits, workflow redesign, human-AI handoffs and oversight, and monitoring and iteration.

06Technology

Prompt management, integration architecture, workflow orchestration, agentic capabilities, and tool selection.

07Evaluation & Impact

Measuring value, explainability, quality assurance, harm auditing, environmental ethics, and sector sharing.

The AI Change Management Assessment is available as a free, self-guided tool. For a more comprehensive view, beneAI facilitates the assessment across leadership and staff, surfacing the internal alignment that informs every successful strategy.

Try the Assessment
Our Process

A structured path from assessment to measurable impact.

01
Assess
A baseline AI Change Management Assessment scores organizational readiness across all seven domains, establishing a quantifiable starting point. The engagement's strategic shape, parallel or integrated, is also determined at this stage, informed by the organization's strategic cycle and ambitions.
Deliverables: Seven-domain baseline maturity scorecard. Strategic shape recommendation (parallel or integrated).
02
Research
Primary research on current AI use, workflows, and perspectives across leadership, staff, board, volunteers, clients, and constituents. Research is scoped to the engagement and surfaces the alignment and disagreement any successful strategy must address.
Deliverables: Current-state research synthesis covering AI use, workflows, and organizational perspectives. Stakeholder alignment map.
03
Plan
A prioritized strategic plan with recommendations across the seven domains, including opportunity identification, initial governance guidance, and a sequenced roadmap calibrated to the organization's resources and ambitions.
Deliverables: Prioritized seven-domain strategic plan. Sequenced implementation roadmap. Initial governance and deployment guidance.
04
Build
Development of upskilling programs, governance frameworks, and deployment strategy for internal and external AI use. Multi-stakeholder engagement and implementation support continue throughout this phase.
Deliverables: Upskilling program design and rollout materials. Governance framework documentation. Internal and external deployment strategy.
05
Measure
A closing AI Change Management Assessment quantifies maturity gains against the baseline across all seven domains. Results inform ongoing adaptation as the AI landscape continues to evolve.
Deliverables: Closing seven-domain maturity assessment. Progress report comparing gains against baseline. Adaptation brief for the evolving landscape.
Strategic Shape

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.

Parallel

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.

Integrated

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.

Engagement Options

Two engagement options.

Both are grounded in the same methodology and shaped to your organization's scope, timeline, and readiness.

3- to 6- month engagement

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.

Includes:
  • Baseline research with leadership
  • Seven-domain maturity assessment
  • Opportunity identification
  • Prioritized strategic recommendations
  • Foundational guidance on upskilling, governance, and deployment
6- to 12- month engagement

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.

Includes:
  • 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

Get in touch.

Every engagement begins with an initial conversation about you, your mission, and where and how AI makes sense. beneAI is based in Denver, Colorado and serves mission-driven organizations in the US and abroad.