AI Optimization Services. Strategic Investment Overview
We at AEHEA.com specialize in enterprise-grade AI transformation designed specifically for small to medium-sized businesses seeking measurable improvements in operational efficiency, competitive positioning, and long term scalability. Our approach delivers a full spectrum of AI integration services supported by best in class technologies and tailored to the unique requirements of each industry we serve.
This document outlines a comprehensive investment framework aligned with projects starting at $150,000. Each engagement is structured to ensure a clear path to return on investment, with phases that reflect the complexity and customization required for effective deployment.
Phase 1: Workflow Audit and AI Opportunity Assessment
Estimated Duration: 10 to 15 Business Days
Plans Starting at $25,000.00
Every project begins with a detailed examination of your existing operations. Our consultants conduct in-depth interviews, shadow staff across departments, and collect operational data to map workflows. The outcome is a comprehensive AI feasibility report that highlights automation opportunities, identifies high-impact areas, and includes ROI projections supported by historical and forecasted performance data.
Phase 2: Data Digitization and Tokenization
Estimated Duration: 3 to 4 Weeks
Plans Starting at $40,000.00
Once workflows have been assessed, the next step involves converting your existing data often housed in legacy formats into AI-compatible structures. This includes processing thousands of documents using OCR and natural language processing tools, then organizing that content into relational or NoSQL databases.
For industries such as legal or healthcare, this often involves tokenizing tens of thousands of text-based documents, such as contracts or patient records, and generating vector embeddings to enable semantic AI search and retrieval.
Phase 3: AI Model Selection and Deployment
Estimated Duration: 4 to 6 Weeks
Plans Starting at $50,000.00
At this stage, we architect and deploy a custom AI assistant tailored to your business needs. Depending on the regulatory environment and data sensitivity, we either integrate cloud-based AI services such as AWS Bedrock or Google Vertex AI, or establish self-hosted infrastructure using open-source models like Llama 3 and Mistral.
Deployment configurations vary. A customer service team, for instance, might receive a fine-tuned language model hosted in the cloud to handle inbound support inquiries, drastically reducing ticket resolution time. A law firm with stringent data privacy requirements might instead deploy an on premise solution with a dedicated GPU server cluster.
Optional infrastructure costs are factored separately. Cloud environments typically range from $1,500 to $3,000 per month, while self-hosted solutions may require a one-time capital investment of $20,000.00 to $50,000.00, depending on compute requirements and security protocols.
Phase 4: Staff Training and Change Management
Estimated Duration: 1 to 2 Weeks
Plans Staring at $15,000.00
Adoption depends on people, not just technology. We provide hands-on training sessions and interactive workshops to ensure your team understands how to effectively use the new AI tools in their daily work. Our change management consultants guide departments through redesigned workflows, provide one on one coaching, and help address any concerns about the role of AI in the workplace.
In a recent engagement, medical professionals were trained on AI-assisted diagnostic tools to streamline clinical documentation. In another case, front-desk staff at a regional salon chain learned to collaborate with an AI booking system integrated into the CRM, significantly increasing efficiency and accuracy.
Phase 5: Ongoing Support and Optimization
12-Month Maintenance Contract
Investment Range: $20,000 to $30,000 Annually
To ensure continued performance and alignment with business goals, AEHEA provides year-round support and optimization services. This includes monthly reviews of system performance, retraining models as your data evolves, releasing new features, and maintaining compliance with security and regulatory standards.
Total Project Investment: Starting at $150,000.00
Project Duration: 3 to 6+ Months
| Phase | Duration | Investment |
|---|---|---|
| Workflow Audit & Strategy | 2–3 weeks | $25k+ |
| Data Tokenization | 3–4 weeks | $40k+ |
| AI Deployment | 4–6 weeks | $50k+ |
| Training & Enablement | 1–2 weeks | $15k+ |
| Ongoing Optimization | Annual Support | $20k–$30k |
| Total | 3–6 months total | $150k+ |
Why This Investment Pays for Itself
Organizations that adopt AI early experience tangible returns within 6 to 12 months. From labor savings and faster decision-making to increased revenue and customer retention, the value compounds across departments. More importantly, AI enabled organizations consistently outperform their competitors in terms of operational speed, customer experience, and strategic flexibility.
Clients that partner with us are not just installing tools; they are future proofing their organizations with scalable infrastructure, resilient workflows, and adaptive intelligence.
Start the Conversation with Us, Today.
If your organization is ready to explore what AI optimization could mean for your operations, we invite you to schedule a consultation with our advisory team. We provide tailored proposals based on business size, regulatory constraints, and strategic objectives. Enterprise and multi location discounts are available.
Contact us to begin your transformation journey. Together, we will help you build the intelligent infrastructure your business needs to lead in the next era of digital performance.