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.

AuraPath: Impactful AI at Scale

AI Practitioner

№ 02Module · Tier II

Evals & observability

Building the scoreboard that tells you whether your system is actually getting better.

2 lessons~42 min0/2 done

§ Lessons

01
Golden sets that scale
Coverage, edge cases, and how to grow the set without melting your review time.
Open lesson~24 min
02
Tracing without the platform
What to log, what to skip, and what to do before you adopt a vendor.
Open lesson~18 min

Ship the deliverable

An eval suite with regression alerts wired to Slack or PagerDuty.

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