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

The temptation when designing a platform is to centralize everything. The right answer is to centralize a small number of things — the ones where uniformity actually matters — and let teams own everything else.

Centralize these

Eval harness — uniform metrics across the org make decisions comparable
Tool registry — discoverability + version control of internal tools
Secrets management — non-negotiable
Cost reporting + budget alerts — finance needs one truth
Model gateway — single egress point lets you swap providers and apply rate limits org-wide

Leave these with the teams

Prompts and system prompts — domain context lives with the team that owns the domain
Golden eval sets — coverage is local
Runbooks — on-call ownership is local
Choice of orchestration framework — let teams pick the wrong one cheaply

Knowledge check

0/1 answered

1. Which of these should live in the platform (centralized) layer?

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Shared services

Centralize these

Leave these with the teams

Knowledge check

Discussion