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.

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Claude AI Insights

Expert perspectives on AI implementation, developer productivity, and getting real ROI from Claude.

All PostsCustomer ServiceStrategySalesOperations

Customer Service7 min read

How SMBs Are Cutting Customer Service Costs 60% with AI

Real examples of growing businesses using AI to handle routine inquiries, reduce wait times, and free up staff for complex issues—without losing the human touch.

January 12, 2026

Strategy8 min read

5 AI Implementation Mistakes That Waste SMB Budgets

Why most AI pilots fail and how to avoid the common traps. Learn from companies that wasted months before finding what actually works.

January 10, 2026

Sales6 min read

Case Study: How a 120-Person Sales Team Doubled Pipeline Velocity

A B2B company automated lead research, proposal drafting, and follow-ups. Their sales reps now spend 40% more time actually selling.

January 8, 2026

Operations5 min read

Automating Document Processing: From 3 Days to 4 Hours

How a regional insurance agency transformed claims processing with AI document extraction—and what it means for your operations bottlenecks.

January 5, 2026

Strategy9 min read

Claude, GPT, or Something Else? How to Choose the Right AI for Your Business

A practical guide to evaluating AI tools for your specific use case. Not every problem needs the same solution—here's how to pick the right one.

January 3, 2026

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