Practical AI Transformation Services
CreateInnovAI helps organizations identify high-value opportunities, prepare the business and technical foundation, deploy usable AI solutions, and sustain measurable improvement.
I offer several ways organizations begin to define direction, align priorities, and identify the right starting point.
Engage Services to Meet your Budget and Where you Are
Services have Engagement Options
While the methodology is set in its flow, individual serves may be engaged depending on budget and business needs.
Focused Pilot
Have a Solution idea? Start with focused AI Pilot. The pilot follows the full methodology including
strategy, learning and workshops, process/workflow design, and data and information preparation. These are integrated into the pilot to ensure everything is built on the right footing from the start.
AI Courses and Learning Programs
Delivered as Standalone Services, or integrated into a Pilot, to accelerate Adoption. Courses use an enablement approach including role-based paths and practical hands-on virtual sessions. The programs include basic AI Literacy, Applied capabilities, Advanced and Technical courses, and Governance sessions.
Adoption Workshops
High-impact workshops that align people, clarify use cases, build capability These are designed to accelerate adoption.
Need Direction on a high priority process
Start with a focused Strategy and Readiness phase, then proceed to the Process and Workflow Design with Data and Information preparation. Resource, Governance and Deployment may proceed as desired.
Already Deployed AI and need help
Engage services to enable adoption and learning or strengthen governance, monitoring, and optimization. Services to design Human-in-the-loop involvement may be added.
CreateInnovAI Services Overview
Strategy and Readiness
Strategy and Readiness provide clarity on where to focus, how to prioritize, and how to move forward with confidence
- Business and AI readiness assessments
- Identify high Value Processes
- Define AI Initiatives
- Prioritized Key Findings Reports
- AI strategy and transformation roadmaps
People and Culture Enablement
Courses and Learning services delivered as a standalone service .
The approach is structured and practical.
- Role-based learning ensures executives, business teams, and technical teams get what’s relevant to them.
- Hands-on coursed focused on real use cases, tools, and workflows, not theory
Courses are structured tiers
- Foundation literacy builds awareness and introduces core concepts
- Applied AI Capabilities address prompting, context engineering, workflows with real use cases
- Advanced and Technical courses supports teams building AI solutions
- Governance and Responsible AI courses build governance and responsible AI structures
AI Adoption Workshops
Process & AI Workflow Design
AI Adoption Workshops focused set of high-impact workshops designed to align teams, reduce resistance, and move quickly from understanding to practical use.
- AI mindset and adoption addresses resistance and develops an Infinite Mindset to move people to look forward to what is possible with AI.
- Prompt engineering builds structured prompting capability to get consistent, repeatable results.
- Models and platform alignment ensures the organization is focused on the right models and platforms that aligned to business needs.
- AI Change and Adoption Strategy develops a structured approach to stakeholder engagement, communication, and sustained adoption.
Process & AI Workflow Design
Process & AI Workflow Design
Process & Workflow Design moves from a clear understanding of current processes to designs of automation or AI workflows.
- Map how work actually gets done with Interviews to identify handoffs, delays, dependencies, and how decisions are made
- Processes supporting the work are evaluated for improvements and potential redesigns
- Processes are designed into future-state workflows that show how the process can operate with AI-enabled support, better data flow,automation, and clearer decision points.
The output is AI Workflow Plan, an execution-ready roadmap that defines the solution design and deployment details.
Data & Information Preparation
If Data and Information Assets aren’t right, the outcomes won’t be either. Assets essential to supporting workflows and AI Capabilities must be prepared.
- Assessment identifies what assets are needed, where they are located and which are usable.
- Data and Information Strategy is a guide for the entire data transformation effort
- Collection and Inventory collects the assets required
- Cleaning identifies and resolves asset issues
- Formatting and Structuring applies consistencies and structures
- Transformation changes asset’s for AI compatibility
- Enrichment adds relevant information
- Validation confirms the preparation produced reliable results
- Governance controls assets
- Staging makes assets available for integration during solution build
Governance
Governance ensures AI is effective, controlled, responsible, and trusted.
A Governance framework consists of:
- Strategy and Oversight establishing governance policies for AI .
- Risk Management applies controls.
- Ethics and Compliance establishes principles and standards for fair, transparent, responsible, and lawful AI use.
- Security protects the data, information assets, systems, and access.
- Cybersecurity protects the models, applications, agents, integrations, systems, and users involved in AI-enabled operations
- People and Culture establishes awareness, skills, behaviors, and accountability for responsible AI use.
People retain decision authority and accountability for consequential actions and business outcomes.
Continuous Transformation Services
Deploying a solution is not the finish line. It’s the starting point.
Human oversight and ongoing management is a continuous cycle of monitoring performance, identifying improvements and evolution.
- Monitoring includes tracking accuracy, usage, and business impact through clear KPIs.
- Optimization refines models, workflows, prompts, and data to improve outcomes.
- User support and enablement drive adoption through training, guidance, and ongoing enhancements.
- Evolving keeps solutions up-to-date by introducing new capabilities, tools, and use cases as both the technology and the business continue to change.
This is not static. It’s continuous
Options for Transformation
Start from where you are.
Follow a
structured, end-to-end methodology to
- Define the strategy
- Design Automations and AI Workflows
- Prepare Assets for use
- Drive adoption
- Align Teams
- Implement Governance
- Develop and deploy solutions
- Monitor and optimize solutions within clear guardrails.
This is how AI moves from isolated efforts to a sustained, enterprise capability.