Walker Software Solutions
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AI Integration & Strategy

Cut through the hype and implement AI that works

The Problem

There's a wide gap between an impressive AI demo and a production feature your users actually depend on. Costs spiral. Responses are inconsistent. Your team spends more time fighting the technology than building the product.

The AI space moves fast and the advice is everywhere, but most of it comes from people who've written blog posts—not engineers who've debugged token limits at 2am or explained an unexpected $8,000 API bill to a CFO.

The Solution

I bring practical, production-tested experience. I've shipped LLM-powered features that real users depend on daily, built systems that analyze documents at scale, and solved the reliability and cost problems that appear after the demo.

I'll help you figure out what AI can realistically do for your product, implement it properly, and make sure your team can maintain it after I'm gone.

What's Included

LLM Integration

Any major LLM provider—or several in the same environment—integrated into your existing applications with proper error handling, rate limiting, and fallback strategies.

Prompt Engineering

Systematic prompt development that gets consistent, reliable results. Not just trial-and-error—structured approaches that scale.

RAG Systems

Retrieval-Augmented Generation systems that give your AI access to your data while maintaining accuracy and relevance.

Cost Optimization

Strategies like prompt caching, intelligent chunking, and model selection that can dramatically reduce your AI costs.

Build vs. Buy Guidance

Strategic clarity on which AI features to build, which to buy off the shelf, and which to skip entirely for now.

Team Enablement

Help your team understand AI capabilities and limitations so they can maintain and extend what we build.

Why Work With Me

Production
Shipped LLM integrations with cost optimization built in.
Document AI
Built systems that analyze long documents with context retention.
End-to-End
Delivered complete applications—not just the AI layer.

I've been building with AI tools in production since before most teams started experimenting. The difference between someone who's shipped it and someone who's read about it shows up fast once implementation starts.

How It Works

1

Discovery Call

We discuss your goals, current state, and what you're hoping AI can do for your product. Free, no obligation.

2

Assessment

I analyze your codebase and requirements to identify the highest-impact opportunities and potential challenges.

3

Proposal

You receive a clear proposal with scope, approach, timeline, and pricing. No surprises.

4

Implementation

I build, test, and deploy the solution, keeping you informed throughout with regular check-ins.

5

Handoff

Documentation, team training, and support ensure your team can maintain and extend the solution.

Want to Add AI to Your Product?

Let's have an honest conversation about what AI can realistically do for your business.