AI Consulting
Move From AI Interest to an Actionable Plan
Organizations are under pressure to adopt AI, but moving too quickly can lead to wasted resources, employee resistance, privacy problems, and tools that do not address meaningful needs. We help organizations identify where AI can provide value, evaluate possible risks, and build a realistic plan for adoption.
Signature Offering
AI Opportunity and Readiness Assessment
A structured starting point for organizations that want to use AI but are unsure where to focus. Depending on the organization's needs, the assessment may include:
- 1Consultation with organizational leaders
- 2Interviews or workshops with employees and stakeholders
- 3Review of selected workflows and processes
- 4Identification of possible AI applications
- 5Evaluation of benefit, feasibility, cost, and risk
- 6Prioritization of high-value opportunities
- 7Recommendations for training, policy, tools, or development
- 8A practical implementation roadmap
The result is a clear set of priorities grounded in the organization’s actual work.
Beyond the Tools
Facilitation, Communication, and Stakeholder Engagement
AI adoption succeeds or fails based on people, not just technology. We bring hands-on experience designing participatory processes that build genuine buy-in\u2014not just implementing software.

Journal of Participatory Research Methods, 2024
Retention Reimagined: Participatory Action and Positive Deviancy for University Student Success
Our founder co-authored this peer-reviewed study on engaging students as co-researchers to design solutions with stakeholders, not just for them. It’s the same facilitation and participatory approach we bring to organizational AI adoption.
Read the StudyAdditional Consulting Services
Support at every stage of your AI strategy
AI Strategy
Develop an organizational vision, priorities, and phased plan for AI adoption.
Workflow Discovery
Examine time-consuming or repetitive processes and identify where AI or automation might help.
Tool Evaluation
Compare available AI products based on organizational needs, cost, privacy, usability, and technical requirements.
Responsible AI Policy
Develop practical guidance for employee use of generative AI, including expectations related to confidential information, verification, disclosure, and human oversight.
Pilot-Project Design
Define the purpose, users, requirements, success measures, and evaluation plan for a small-scale AI implementation.
Implementation and Adoption
Prepare employees for new tools through communication, participation, training, and support.
Evaluation
Determine whether an AI initiative improves efficiency, quality, accessibility, satisfaction, or another meaningful organizational outcome.
Start With the Problem
We do not begin by recommending a particular product. We begin by understanding the problem, the people involved, the existing workflow, and the outcome the organization wants to achieve.