AI Consulting Services
There's a lot of noise around AI right now. Every vendor is slapping "AI-powered" on everything, and it's hard to tell what's actually useful from what's just marketing. I cut through that. I help companies find the spots where AI genuinely saves time or money, then I set it up and make sure it works.
That might mean turning on Copilot in Microsoft 365 and training your team to use it. Or it might mean building a custom chatbot that answers questions from your internal docs. The scope depends on the problem.
Microsoft 365 Copilot
The fastest way for most businesses to start using AI. Copilot sits inside the Office apps your team already uses:
- License setup and rollout planning
- Data readiness -- Copilot pulls from your SharePoint and OneDrive, so permissions and file organization matter
- User training so people actually use it instead of ignoring it
- Usage monitoring to see if it's delivering value or just burning license cost
Custom Chatbots & Assistants
When off-the-shelf tools don't fit, I build something that does. These are typically chatbots that know your business -- trained on your docs, your processes, your data:
- Internal knowledge bots that answer employee questions from company documentation
- Customer-facing assistants for support, FAQ, or product questions
- Built on Azure OpenAI Service or other providers depending on your needs and budget
- Grounded in your actual data so responses are accurate, not generic
AI Strategy & Assessment
Not sure where to start? That's normal. Most companies know they should be doing something with AI but aren't sure what will actually move the needle:
- Review your current workflows to find where AI can cut real time
- Honest assessment of what's worth doing now versus what's not ready yet
- Cost analysis -- what will it cost to run, and does the ROI make sense
- A concrete plan with priorities, not a 50-page strategy deck
Ongoing Support
AI tools need tuning over time. Models improve, your data changes, and people find new ways to use the tools. I stay involved to keep things running well:
- Performance tuning -- improving response quality based on real usage
- Data updates -- keeping knowledge bases current as your docs and processes change
- New use cases -- expanding into other areas as the technology matures and your team gets comfortable
- Cost management -- monitoring API usage and optimizing to keep spend under control