Services / Technology
AI Integration
AI tools have obvious uses. The less obvious ones are where the competitive advantage is, and they require building, not just subscribing.
Get in TouchWhat it is
AI integrated into your workflows, not sitting next to them.
The practical value of AI for a business comes from integration: automated workflows that handle repeatable tasks, customer-facing tools that operate without manual input, and custom applications built around specific business processes. I build across all three, working directly with the Anthropic Claude API, OpenAI, Microsoft Copilot, and other models depending on what the project requires.
- ✓ AI readiness audit and opportunity mapping
- ✓ Workflow automation design and build
- ✓ Chatbot development and deployment
- ✓ Custom AI application development
- ✓ LLM prompt engineering and system design
- ✓ Integration with existing tools and workflows
- ✓ Team training and adoption support
What you get
Shipped systems, not standalone strategy documents.
Every engagement starts with identifying the highest-value opportunity and building toward that first. You get something running inside your business that produces real output, with scope expanding from there based on what's working.
Why Mindstate Strategy
Built and deployed across multiple projects.
I've built a marketing automation system integrating multiple LLMs across a full content production pipeline, an agentic content engine that pulled CRM and engagement data to generate platform-specific posts and video scripts, and a full-stack AI web application using the Claude API with computer vision deployed to a client in production. Each project was scoped, built, and shipped.
Work Sample
AI-Enabled Waste Sorting Prototype plus Accompanying App
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FAQ
Not necessarily. A simple chatbot or single workflow automation can be scoped and built affordably, often starting in the same range as a basic website build. The cost scales with complexity, not with the fact that AI is involved.
Using ChatGPT directly means manually starting every conversation and copying output where it needs to go. Integration means the AI is built into a business process, triggered automatically, connected to existing tools, and running without someone manually operating it each time.
A well-scoped system targets a specific bottleneck and is built to run with minimal oversight. Poorly scoped AI projects, built without a clear use case, are what create extra work. Starting with the highest-value task and building from there avoids that problem.
Either works. Some clients prefer to hold their own API account so they retain direct control and can see usage costs transparently. Others prefer it handled entirely as part of the engagement. Both are common and the right setup depends on the business.