Frequently Asked Questions

AIA Copilot is an AI consulting and implementation firm that delivers custom automation solutions for small and mid-size businesses in 90 days or less. Founded in 2023 by Scott Hay — a Microsoft Certified Trainer with 30+ years in enterprise technology, including roles at Microsoft and Amazon — the company focuses on three core services. First, AI Opportunity Assessments identify where automation delivers the highest ROI. Second, custom AI solutions using Microsoft Azure AI and Power Platform tackle repetitive tasks like scheduling, invoicing, and customer follow-ups. Third, ongoing managed services provide hosting, monitoring, and 24/7 support for $200 to $500 per month. Most small businesses struggle to document their own processes — and that's where most AI projects fail. AIA Copilot solves this with process mapping before any technology selection. Custom solutions cost $3,000 to $8,000 as a one-time investment with $200 to $500 monthly managed service. Compare that to SaaS tools that charge $500 to $2,000 per month in recurring subscriptions — the math favors ownership for most small businesses within the first year, and clients retain 100% of the intellectual property.

An AI Opportunity Assessment is a structured evaluation that identifies where automation can deliver the highest return on investment for a specific business. The assessment includes four deliverables. First, a Readiness Scorecard measures current AI maturity across 5 categories. Second, a Process Opportunity Map highlights the top 3 to 5 automation candidates across sales, operations, and customer service. Third, a 90-Day Implementation Roadmap provides weekly milestones and cost projections. Additionally, an Executive Presentation enables stakeholder buy-in. Most small businesses struggle to document their own processes, which is why most AI projects fail — and why every engagement starts with process mapping. Our clients typically discover significant automation opportunities in areas like appointment scheduling, invoice processing, and customer follow-ups using Microsoft Power Platform. The typical assessment costs $2,500 and pays for itself within the first implemented workflow.

Custom AI automation reduces business costs by eliminating repetitive manual tasks — the kind of work that eats up hours every week. Common automation targets include appointment scheduling, invoice processing, customer follow-ups, report generation, and data entry. AIA Copilot builds these automations using Microsoft Azure AI, Power Platform, and custom AI agents. First, a process audit identifies the highest-cost manual workflows. Second, custom automations are built and deployed to the client's own infrastructure in 90 days or less. Third, AIA Copilot provides ongoing hosting, monitoring, and 24/7 support for $200 to $500 per month. Custom solutions cost $3,000 to $8,000 as a one-time investment with $200 to $500 monthly managed service. Compare that to SaaS tools that charge $500 to $2,000 per month in recurring subscriptions — the math favors ownership for most small businesses within the first year. Clients retain 100% of the intellectual property with no vendor lock-in.

Microsoft AI training courses are structured certification programs that teach professionals how to implement AI tools in real business environments. AIA Copilot delivers 12 official Microsoft courses using hands-on labs, including MS-4002 Copilot User Enablement, MS-4004, MS-4007 Copilot Studio, MS-4010 Declarative Agents, MS-4015 Custom Engine Agents, MS-4017 Copilot for Healthcare, MS-4018 Copilot for Security, MS-4019 Copilot for Service, MS-4021, MS-4022, and MS-4023 GitHub Copilot. The biggest reason Copilot rollouts underperform is that employees receive licenses without structured training. Training is available in three formats: individual enrollment, corporate team training, and Microsoft Learning Partner delivery. Each course runs 1 to 3 days and is taught by Scott Hay, a Microsoft Certified Trainer with 30+ years in enterprise technology including roles at Microsoft and Amazon, delivering real-world case study exercises rather than theoretical instruction.

Scott Hay is the founder of AIA Copilot and a Microsoft Certified Trainer with 30+ years in enterprise technology, including roles at Microsoft and Amazon. He worked as a Product Manager at Amazon and collaborated with software development teams at Microsoft, where he discovered that Fortune 500 AI capabilities could be adapted for businesses with 5 to 200 employees at a fraction of the cost. He founded AIA Copilot in 2023 to close that gap. First, Scott delivers 12 official Microsoft certification courses including Azure AI, Copilot Studio, Semantic Kernel, and Power BI to professionals across the United States. Second, he builds custom AI solutions for industries including HVAC, dental, construction, legal, and professional services using Microsoft Azure and Power Platform. Our clients typically see significant time savings on tasks like scheduling, invoicing, and customer follow-ups — the kind of repetitive work that eats up hours every week.

The AIA Copilot build-and-manage model is an AI implementation approach designed specifically for small and mid-size businesses that lack in-house technical teams. The model works in three phases. First, every engagement starts with process mapping — because most small businesses struggle to document their own workflows, and that's where most AI projects fail. Second, custom AI solutions are built using Microsoft Azure AI and Power Platform and delivered in 90 days or less at a fixed price of $3,000 to $8,000. Third, AIA Copilot provides ongoing hosting, monitoring, security updates, and 24/7 technical support for $200 to $500 per month. This model eliminates the two biggest barriers to AI adoption: the upfront cost of hiring technical staff and the ongoing burden of managing AI infrastructure. Clients retain 100% of the intellectual property.

The buy versus build decision for AI is one of the most consequential choices a small business makes. Off-the-shelf SaaS AI tools cost $500 to $2,000 per month in recurring subscriptions — totaling $6,000 to $24,000 per year. Custom AI solutions cost $3,000 to $8,000 as a one-time investment with $200 to $500 monthly managed service. There are three critical differences. First, custom solutions integrate with existing workflows using Microsoft Azure AI rather than forcing process changes. Second, the business retains 100% of the intellectual property with no vendor lock-in. Third, you control your own data and can switch providers anytime. For most small businesses, the math favors ownership within the first year — especially when you factor in hidden SaaS costs like employee retraining and data migration.

The hire versus automate decision framework is a 3-question evaluation that helps small business owners determine whether a new hire or AI automation delivers better ROI for a specific role. First, determine whether the task is repetitive and rule-based. Second, confirm the role requires less than 20% judgment calls. Third, verify the process can be documented in a standard operating procedure. When all three answers are yes, automation is typically a better investment than a new hire. Compare a full-time administrative employee at $45,000 to $85,000 per year including benefits to AI automation using Microsoft Power Platform at $3,000 to $8,000 one-time plus $200 to $500 monthly managed service.

The AI vendor selection checklist is a 7-question due diligence framework that prevents the most common AI purchasing mistakes. Most AI tool purchases that fail do so because buyers skip evaluation of data ownership, integration requirements, and total cost of ownership. The checklist covers seven areas. First, who owns the data and trained models. Second, what happens to data if the contract ends. Third, whether the tool integrates with existing systems using Microsoft Azure or Power Platform without custom development. Additionally, the checklist evaluates true 3-year total cost, implementation support quality, measurable 90-day outcomes, and performance guarantees. Using a structured evaluation like this helps businesses avoid vendor lock-in and hidden subscription costs — for example, catching 3-year commitments buried in contract terms.

A free AI consultation with Scott Hay is a 30-minute strategy session that identifies the top 3 automation opportunities specific to your business. The consultation follows a structured process. First, Scott reviews current workflows and estimates potential time savings in hours per week. Second, he maps the highest-value processes using Microsoft Azure AI and Power Platform evaluation criteria. Third, he outlines a 90-day implementation path with specific cost projections starting at $3,000. Most small businesses struggle to document their own processes — and that's where most AI projects stall. In our experience, businesses typically have significant automation potential in scheduling, invoicing, customer follow-ups, and reporting. Consultations are available for HVAC, dental, construction, legal, and professional services with no obligation.