Skip the AI Hype, Get Results That Matter

I help growing companies implement AI that solves real business problems and generates measurable ROI

Most companies are either doing nothing with AI or throwing ChatGPT at random problems hoping something works. I focus on strategic implementations that enhance your business operations, not complicate them.

How I Think About AI for Growing Companies

Problem-first, not technology-first

I've built AI products that generate revenue (like Accountabilly) and integrated AI into client systems that save thousands monthly. Here's what actually works:

🎯

Solve Real Problems

AI should eliminate manual work, enhance customer experience, or create competitive advantages. If it's not solving a genuine business problem, don't build it.

Built Accountabilly to solve procrastination, not just to use ChatGPT

🚀

Start Simple, Scale Smart

Begin with focused use cases that deliver immediate value, then expand based on results and learnings.

Started with basic AI coaching, added voice transcription when users requested it

🔧

Integration Over Disruption

AI works best when it enhances existing workflows rather than forcing completely new processes.

Integrated AI into Scart's existing order processing instead of rebuilding everything

🤝

Human + AI, Not AI Instead

The most effective implementations augment human capabilities rather than trying to replace people entirely.

AI handles routine questions, humans handle complex customer relationships

Case Study: Building Accountabilly AI Coach

From concept to paying users in 2 weeks

The Challenge

Friends were struggling with goal achievement. Traditional tracking apps weren't helping when motivation dropped - they needed real accountability, not just logging.

The Solution

Built an AI accountability coach that provides personalized guidance and challenges users when they make excuses.

Technical Implementation

Problem Analysis

Identified that the core issue wasn't tracking but lack of intelligent push-back during difficult moments

💡 Users needed someone to ask hard questions and challenge their thinking, not just record progress

AI Personality Design

Crafted an AI coach personality that provides direct, challenging feedback while remaining supportive

💡 Generic ChatGPT responses don't work - you need contextual, personalized coaching based on user psychology

Voice Integration

Added Whisper API for voice check-ins because users wanted hands-free progress updates

💡 Voice input dramatically increases usage frequency - removes friction from the accountability process

Business Model

Implemented freemium subscription tiers with usage-based limits to validate willingness to pay

💡 AI costs require subscription models - built monetization into the core experience from day one

Results Achieved

  • Complete MVP delivered in 2 weeks
  • Subscription system with paying beta users
  • 10+ core features including AI conversation, voice transcription, progress tracking
  • Ready for App Store and Google Play launch
  • Proven market demand for AI-powered accountability

Key Lessons

  • AI implementation success depends more on problem understanding than technical complexity
  • Users pay for AI that solves genuine problems, not just because it uses advanced technology
  • Voice interfaces dramatically increase AI adoption for mobile use cases
  • Freemium models work best when AI costs scale with user value received

AI Implementation Services

Strategic AI that enhances your business operations

Process Automation & Workflow AI

4-8 weeks
30-70% reduction in manual processing time

Eliminate manual tasks that waste your team's time and create errors

Use Cases:

  • Customer service automation with intelligent routing
  • Document processing and data extraction
  • Email and communication automation
  • Inventory and order processing intelligence
  • Quality control and error detection systems

Technologies:

OpenAI GPTDocument AICustom APIsWorkflow Integration

Customer Experience AI

6-10 weeks
20-40% improvement in customer satisfaction metrics

Enhance how customers interact with your business through intelligent systems

Use Cases:

  • Intelligent chatbots that actually help customers
  • Personalized product recommendations
  • Dynamic content generation for marketing
  • Automated customer segmentation and targeting
  • Predictive customer support and issue resolution

Technologies:

ChatGPT IntegrationRecommendation EnginesNatural Language Processing

Content & Marketing AI

3-6 weeks
50-80% faster content production cycles

Scale content creation while maintaining quality and brand consistency

Use Cases:

  • Automated blog post and article generation
  • Product description creation and optimization
  • Social media content planning and generation
  • Email marketing personalization and automation
  • Multilingual content translation and adaptation

Technologies:

GPT-4 for WritingTranslation APIsContent Management Integration

Custom AI Applications

8-16 weeks
New revenue streams or significant competitive differentiation

Build AI-powered products that create new revenue streams or competitive advantages

Use Cases:

  • AI-powered features for existing products
  • Intelligent analytics and insight generation
  • Custom machine learning models for your data
  • AI-enhanced user experiences and interfaces
  • Specialized industry AI solutions

Technologies:

Custom Model TrainingAPI IntegrationMobile and Web Apps

How I Implement AI for Your Business

Strategic approach that minimizes risk and maximizes value

1

AI Opportunity Assessment

1 week

Identify where AI can solve real problems in your business, not just where it's technically possible.

Key Activities:

  • Business process analysis and pain point identification
  • Current workflow documentation and inefficiency mapping
  • AI readiness assessment of existing systems and data
  • ROI potential calculation for different AI use cases
  • Priority ranking based on impact vs implementation complexity

Deliverable:

AI Strategy Document with prioritized implementation roadmap

2

Proof of Concept Development

2-3 weeks

Build working prototypes that demonstrate value before full implementation investment.

Key Activities:

  • Rapid prototype development for top-priority use cases
  • Integration testing with existing systems and workflows
  • Performance benchmarking and cost analysis
  • User feedback collection and iteration
  • Technical feasibility validation and risk assessment

Deliverable:

Working AI prototype with performance metrics and scaling plan

3

Production Implementation

4-8 weeks

Deploy AI solutions that integrate seamlessly with your existing business operations.

Key Activities:

  • Production-grade AI system development and testing
  • Integration with existing platforms, databases, and workflows
  • User interface design and team training materials
  • Performance monitoring and optimization setup
  • Documentation and knowledge transfer to your team

Deliverable:

Fully operational AI system with monitoring, support, and optimization

4

Optimization & Scaling

Ongoing

Continuous improvement based on real usage data and business feedback.

Key Activities:

  • Performance monitoring and cost optimization
  • Feature enhancement based on user feedback
  • Additional use case identification and implementation
  • Team training and capability building
  • Strategic planning for AI expansion across the business

Deliverable:

Optimized AI systems with roadmap for future enhancements

Proven AI Technical Expertise

Real implementations with measurable business results

Language Models & APIs

OpenAI GPT-4ChatGPT APIWhisper Speech-to-TextCustom PromptingFine-tuning

Built production applications with 1000+ API calls daily, optimized for cost and performance

Voice & Audio AI

Whisper APISpeech RecognitionVoice User InterfacesAudio Processing

Integrated voice capabilities into mobile apps with real-time transcription and processing

Integration & Automation

API OrchestrationWorkflow AutomationServerless FunctionsEvent-Driven AI

Connected AI systems to existing business processes and ERP systems for seamless operation

Mobile AI Applications

React Native AI IntegrationOn-Device ProcessingCloud AI ServicesOffline Capabilities

Shipped AI-powered mobile apps to App Store and Google Play with subscription models

AI Implementation Myths I Help You Avoid

Common mistakes that waste money and create frustration

"AI will automate everything"

Reality: AI works best for specific, well-defined tasks. Trying to automate everything at once leads to complex systems that don't work well.

My Approach: Start with one high-value process, perfect it, then expand systematically.

"We need our own custom AI model"

Reality: Most businesses get better results faster using existing AI APIs with smart integration and prompting strategies.

My Approach: Use proven AI services with custom business logic - faster, cheaper, more reliable.

"AI is too expensive for small businesses"

Reality: Modern AI APIs are incredibly cost-effective when implemented strategically. Many implementations pay for themselves in weeks.

My Approach: Focus on high-ROI use cases first, measure results, reinvest savings into expansion.

"AI will replace our employees"

Reality: The best AI implementations make employees more effective, not obsolete. Humans focus on high-value work while AI handles routine tasks.

My Approach: Augment human capabilities rather than trying to replace people entirely.

Skip the AI Hype and Get Real Results

I've built AI products with paying users and helped companies implement AI that actually saves money and improves operations. Let's talk about what makes sense for your business.

Companies that implement AI strategically now have a huge advantage over those still figuring it out. Let's discuss your opportunities this week.