Two flexible engagement models designed to support AI transformation across:
Engagement Options
AI has the potential to significantly improve how operational work is completed across the organization.
The immediate opportunity is to explore how AI can support and enhance existing workflows surrounding:
The goal is not simply to add AI.
The goal is to identify areas where AI can create measurable improvements in efficiency, accuracy, speed, scalability, and cost.
Our role is to help determine where AI makes sense, how it should be implemented, and how to do it safely and effectively.
Our approach may include:
Understanding current workflows and operational challenges
Identifying processes that can be automated or augmented with AI
Determining where traditional automation versus AI should be used
Selecting the appropriate AI model or model architecture for each use case
Designing how AI interacts with existing systems and data
Identifying human-in-the-loop requirements
Establishing appropriate security and data protections
Designing testing and validation processes
Prioritizing opportunities based on feasibility, impact, and ROI
Creating a practical path from concept to implementation
Different AI models and architectures are appropriate for different jobs.
Part of our role is determining the right AI approach for each use case rather than forcing every problem into the same technology.
Considerations may include:
The objective is to create an AI architecture that is effective, practical, secure, and economically sustainable.
AI systems handling business operations require more than functionality. They also require appropriate safeguards.
Our consulting will place particular emphasis on areas such as:
Protecting sensitive company and customer data
Controlling what information AI models can access
Determining when data can or cannot be sent to third-party models
User permissions and access control
Human approval for sensitive or high-impact actions
AI output validation
Reducing hallucinations and incorrect responses
Logging and monitoring AI activity
Establishing guardrails around automated actions
Maintaining appropriate human oversight
The objective is to create AI systems the organization can trust and confidently deploy in a real-world operating environment.
Designed for organizations that want concentrated strategic and technical expertise around a defined AI project.
Equivalent to a $400/hour blended consulting rate.
Hours may be utilized over an agreed project window of up to 120 days.
Includes access to both:
Founder / AI Strategist Business strategy, workflow design, AI opportunity identification, implementation strategy, ROI analysis, and executive guidance.
CTO / Technical AI Lead AI architecture, model strategy, integrations, technical feasibility, security, testing, and implementation guidance.
For the initial order management, customer service, and EDI initiative, support may include:
Designed for organizations that want continued access to AI expertise as the initial initiative progresses and additional opportunities emerge.
September 1 – December 31, 2026
Combined strategic and technical support per month
The ongoing engagement provides preferential pricing, continuity, and consistent access to strategic and technical AI expertise.
Strategic AI Advisory expands the relationship beyond a single defined project.
Potential support includes:
AI technology is evolving rapidly, but the larger challenge for most organizations is determining where to apply it and how to turn it into actual business value.
An ongoing advisory relationship provides:
The objective is to help the organization develop a repeatable capability for identifying and implementing valuable AI initiatives.
While priorities may evolve during discovery, initial exploration is expected to center around:
Reducing manual processing, improving information flow, assisting employees, identifying exceptions, and automating repetitive workflows.
Helping teams find information faster, draft or automate appropriate responses, categorize requests, route issues, and improve response efficiency.
Using AI alongside existing automation to interpret information, identify exceptions, assist with troubleshooting, and reduce manual intervention.
Making operational information easier for employees to retrieve, understand, and use.
Connecting AI with existing business systems so AI can assist with actions rather than simply answering questions.
AI initiatives should ultimately be measured against business results.
Depending on the use case, potential success metrics may include:
The AI Project Consulting engagement provides concentrated strategic and technical support around the initial order management, customer service, and EDI initiative.
Investment: $10,000
Includes: 25 hours of consulting support
The Strategic AI Advisory engagement provides ongoing strategic and technical support through year-end, including the initial initiative as well as additional AI opportunities identified across the organization.
Investment: $5,000/month through December 31, 2026
Total Investment: $20,000
Includes: Up to 15 hours of combined support per month
Select preferred engagement structure
Identify primary stakeholders
Conduct initial discovery session
Document current workflows and challenges
Identify highest-impact AI opportunities
Develop initial AI architecture and strategy
Prioritize initiatives based on impact, feasibility, security, and ROI
Establish implementation roadmap
Specific priorities, deliverables, and allocation of consulting time will be mutually agreed upon based on project needs and may evolve throughout the engagement.

AI Strategy, Consulting & Advisory