AI-Readiness Planning and Implementation

Build the Foundation Before You Build With AI

AI is transforming how organizations operate, but for mission-driven institutions, government agencies, and purpose-driven businesses, the path to adoption is rarely straightforward. The challenge isn’t whether AI can help. It’s determining where it creates real value, what foundation needs to be in place first, and how to implement it in a way that is responsible, sustainable, and aligned with the trust your stakeholders place in you.

Moonwake helps organizations move from curiosity to capability. We start with your operations, your data, and your strategic priorities, not with a predetermined set of AI tools. Through a structured assessment, we identify the highest-value opportunities for AI and automation in your specific context, then help you build the data quality, infrastructure, governance, and internal readiness needed to implement responsibly and effectively.

Our Approach

We approach AI readiness in three phases designed to reduce risk, build confidence, and ensure that any investment in AI is grounded in operational reality.

Phase 1

Assessment and Opportunity Mapping

We start by understanding your current state: your data landscape, existing systems, workflows, and organizational readiness. Working with your team, we identify specific use cases where AI or automation could improve productivity, strengthen decision-making, or improve the experience for the people you serve. We evaluate each opportunity against criteria including feasibility, data readiness, risk, and alignment with your strategic goals.

Key Activities:

  • Data landscape assessment
  • Workflow mapping to identify automation candidates
  • Stakeholder interviews to understand pain points and priorities
  • Use case identification and prioritization
  • Organizational readiness evaluation

Phase 2

Foundation and Governance

With prioritized opportunities defined, we focus on building the foundation. This includes addressing data quality and accessibility gaps, defining governance policies for responsible AI use, establishing the technical infrastructure needed to support implementation, and building internal understanding of what AI can and cannot do.

Key Activities:

  • Data quality remediation planning
  • AI governance framework development
  • Infrastructure and tooling recommendations
  • Risk assessment and mitigation planning
  • Staff education and change readiness workshops

Phase 3

Implementation and Iteration

We help you move from plan to practice, starting with high-confidence use cases that demonstrate value quickly. Implementation is iterative: we deploy, measure, learn, and refine, building your team’s confidence and capability with each cycle.

Key Activities:

  • Pilot implementation of priority use cases
  • Performance measurement and success criteria tracking
  • Iterative refinement based on real-world results
  • Knowledge transfer and team training
  • Ongoing advisory support and roadmap evolution

What You Get

Deliverables are tailored to the scope of the engagement but typically include:

AI Readiness Assessment and Opportunity Map

  • Comprehensive evaluation of your data landscape, infrastructure, and organizational readiness for AI adoption
  • Prioritized inventory of AI and automation use cases with feasibility ratings, estimated impact, and implementation requirements

AI Governance Framework

  • Policies, principles, and decision-making guidelines for responsible AI use tailored to your sector and stakeholder expectations
  • Vendor selection of appropriate AI partners and tools

Recommendations and Implementation Roadmap

  • Specific guidance on data quality improvements, infrastructure needs, and tooling to support your AI roadmap
  • Sequenced plan for pilot deployment and scaling, with clear milestones, ownership, and success criteria
  • Orchestration platform based on your organization’s needs

Execution Support, Training and Education Materials

  • One fully implemented AI workflow automation
  • Documented process and training for how to build future automations and agents
  • Ongoing support for implementation and management as needed
  • Resources to build AI literacy across your organization and support adoption

Ready to Put Technology to Work?

Turn technology into a strategic advantage.

Get In Touch Today