What types of business problems can AI solve?

AI can transform customer service (handling 60-70% of routine inquiries automatically), sales operations (automating lead research, proposal drafting, and follow-ups), document processing (extracting data from invoices, contracts, claims), and knowledge management (making institutional knowledge searchable and accessible). We focus on high-impact use cases that deliver measurable ROI.

How long does a typical AI implementation take?

Most implementations take 6-8 weeks from discovery to full deployment. This includes 2 weeks of deep-dive analysis, 2-3 weeks of solution development, and 2-3 weeks of integration and training. We focus on quick wins that deliver ROI within the first month.

What ROI can we expect from AI implementation?

Results vary by use case, but typical outcomes include: 60% reduction in customer service response times, 70% faster document processing, 40% more time for sales reps to sell instead of doing admin work, and significant reductions in operational bottlenecks. We measure and track ROI throughout the engagement.

What makes AuraPath different from other AI consulting firms?

We're tool-agnostic—we use whatever AI solution works best for your specific problem, whether that's Claude, GPT, or specialized tools. We focus on SMBs (50-500 employees) and prioritize ROI over technology trends. Every project has clear success metrics and delivers measurable business outcomes.

Claude Code Consulting

Supercharge Your Dev Team with Claude Code

We help development teams implement Claude Code for real productivity gains. Not just another AI tool—a genuine force multiplier for your engineering organization.

3x Faster Development

Developers ship features faster with Claude Code handling boilerplate, documentation, and routine tasks.

40%

40% Less Review Time

Automated code reviews catch issues early, reducing back-and-forth and speeding up PRs.

6-8 wks

6-8 Week Implementation

From discovery to production deployment, we get your team up and running fast.

What Claude Code Can Do

Real use cases we implement for our clients

Code Generation & Completion

Accelerate development with intelligent code suggestions that understand your codebase context, patterns, and best practices.

Automated Code Review

Get instant, thorough code reviews that catch bugs, security issues, and style violations before human review.

Documentation Generation

Keep your docs in sync with your code. Claude generates and maintains API docs, README files, and inline comments.

Legacy Code Migration

Modernize legacy codebases with AI-assisted refactoring, language migration, and dependency updates.

Test Generation

Increase test coverage automatically with Claude-generated unit tests, integration tests, and edge case coverage.

Debugging & Troubleshooting

Diagnose issues faster with AI-powered error analysis, stack trace interpretation, and fix suggestions.

Our Implementation Process

A proven 6-8 week methodology that delivers results

Week 1-2

Discovery & Strategy

•Audit current development workflows and pain points
•Identify high-impact Claude Code use cases
•Design integration architecture
•Create ROI projection model

Week 3-4

Implementation

•Set up Claude Code environment
•Configure custom prompts and contexts
•Integrate with existing tools (VS Code, JetBrains, etc.)
•Establish security and access controls

Week 5-6

Training & Adoption

•Hands-on training sessions for dev team
•Best practices documentation
•Workflow optimization workshops
•Champions program setup

Week 7-8

Optimization & Scaling

•Performance monitoring and metrics
•Prompt engineering refinement
•Team feedback integration
•Scaling plan for broader adoption

Ready to Transform Your Development Workflow?

Schedule a discovery call to see how Claude Code can accelerate your team.

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