Frequently Asked Questions

AIA Copilot is an AI consulting, implementation, and training firm for growing businesses. Founded by Scott Hay — a Microsoft Certified Trainer with 30+ years in enterprise technology, including roles at Microsoft and Amazon — AIA helps customers implement AI in practical ways: identify the right workflow to offload, choose the right assistant or agent pattern, build the workflow, and train the team to use it safely. The focus is not AI theater or tool collecting. The focus is adoption: fewer repetitive tasks, better handoffs, and employees who know how to use chat assistants, Copilot, automations, and agents in daily work.

An AI Time Back Audit is a focused workflow evaluation for business owners and teams. We identify where recurring admin, follow-up, reporting, intake, documentation, or customer communication is costing time; score the best workflow candidates; and recommend a safe first 30-day implementation path. The goal is not a generic AI roadmap. The goal is to find the first workflow that can give real time back and support a practical 30-Day AI Workflow Sprint.

AI workflow implementation reduces business costs by offloading repetitive manual tasks — the kind of work that eats up hours every week. Common targets include appointment scheduling, invoice processing, customer follow-ups, meeting notes, reporting, intake, and data entry. AIA Copilot starts with a process audit, maps the workflow, chooses the lightest useful tool, builds the assistant or agent handoff, and trains the team to use it. The goal is not to buy another AI platform. The goal is to make one recurring workflow faster, safer, and easier to repeat.

Start with an AI Time Back Audit to identify and rank the work worth fixing. Move into a scoped 30-Day AI Workflow Sprint to implement one to three usable workflows with handoffs, approval rules, measurement, and team training. Continue with Managed AI Operations when the business needs ongoing tuning, new use cases, adoption support, governance, and measurement.

Microsoft AI training courses are structured certification programs that teach professionals how to implement AI tools in real business environments. AIA Copilot delivers 11 official Microsoft Copilot courses using hands-on labs: MS-4002: Prepare security and compliance to support Microsoft 365 Copilot; MS-4004: Empower your workforce with Microsoft 365 Copilot Use Cases; MS-4010: Extend Microsoft 365 Copilot with declarative agents by using Visual Studio Code; MS-4014: Build a foundation to build AI agents and extend Microsoft 365 Copilot; MS-4015: Build custom engine agents with the Microsoft 365 Agents SDK; MS-4017: Manage and extend Microsoft 365 Copilot; MS-4018: Draft, analyze, and present with Microsoft 365 Copilot; MS-4019: Transform your everyday business processes with agents; MS-4021: Copilot Immersion Experience; MS-4022: Extend Microsoft 365 Copilot in Copilot Studio; and MS-4023: Transform Ideas into Action with Copilot Chat (Basic). 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 11 official Microsoft Copilot courses including Azure AI, Copilot Studio, Semantic Kernel, and Power BI to professionals across the United States. Second, he helps teams implement practical AI workflows 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.

AIA Copilot helps teams implement AI in three phases. First, we map the work: what task should be offloaded, what context AI needs, what authority it has, and where a human must stay in the loop. Second, we set up the workflow using the right tool for the job: ChatGPT, Microsoft Copilot, Copilot Studio, Power Automate, Azure AI, or a custom agent when needed. Third, we train your team to use the workflow consistently, improve prompts, review outputs, and measure whether the task is actually being offloaded.

Buy an existing tool when it already fits the workflow, data, permissions, and team. Configure or build a workflow when the work crosses systems, needs business-specific context, or requires controlled handoffs and approvals. AIA starts with the workflow and uses the smallest useful tool stack rather than defaulting to custom development. See how to choose AI tools without an IT department.

Automate a task when it is repetitive, follows a documented pattern, and can keep a person in the loop for exceptions or judgment. Hire when the work depends mainly on relationships, accountability, physical execution, or complex judgment. Most businesses need a combination: people own outcomes while AI handles bounded repeatable work.

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.

An AI implementation consultation is a focused conversation about the recurring work costing time, the tools already in place, and whether an AI Time Back Audit or another next step fits. For training availability, use the separate training schedule. For implementation consulting, use the AI consultation page.