Service Offering · 1–3 Weeks
AI Adoption Sprint
Turning AI Access Into Practical Workflow Improvement
Many organizations already have access to AI tools but are not yet realizing meaningful value from them. The AI Adoption Sprint is a focused implementation engagement that helps teams move from AI interest or experimentation into practical day-to-day use.
Overview
What It Is
The AI Adoption Sprint is a focused one- to three-week engagement designed to help an organization apply AI to real work. The sprint combines workflow review, staff training, prompt and process design, quick-win implementation, human review checkpoints, and practical documentation.
It is designed for organizations that already have access to AI tools but need help turning that access into measurable operational improvement.
Procurement Note: Scope, duration, and deliverables can be tailored to the buyer's purchasing authority, funding source, grant budget, and internal contracting procedures.
How This Differs From the Readiness Assessment: The Readiness Assessment identifies opportunities and recommends next steps. The AI Adoption Sprint goes further: Newbloom AI helps the team apply AI to selected workflows, train staff, create practical prompts or process guides, add human-review checkpoints, and test quick-win improvements during the engagement.
Who It's For
Best-Fit Organizations
- Already have AI tools available but are not using them effectively.
- Need hands-on help applying AI to specific workflows.
- Want measurable productivity improvement without replacing existing systems.
- Have repetitive, document-heavy, reporting-heavy, or internal knowledge workflows.
- Need staff training tied to actual work rather than abstract AI theory.
- Want practical quick wins before pursuing a larger custom build.
Best-Fit Environments
- Government agencies
- Nonprofits
- Public-sector teams
- Workforce-development organizations
- Mission-oriented organizations
- Small businesses
What We Do
Typical Activities
- Review selected workflows and administrative processes.
- Audit current AI tools, subscriptions, and tech environment.
- Identify and prioritize high-value AI use cases.
- Train staff on practical AI use.
- Develop workflow-specific prompts, templates, or process guides.
- Design AI-supported workflows with human review checkpoints.
- Implement quick-win automations or AI-assisted processes.
- Create staff guidance for approved use cases.
- Document limitations, review expectations, and next steps.
- Deliver a 30-, 60-, or 90-day adoption roadmap.