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

№ 00Curriculum

The curriculum

Three paths, taken in order or separately. Public cohorts and self-paced both earn a verified certification on completion.

01
AI Builder Foundation
Tier I4 modules9 lessons~2h
Make AI real in your day-to-day work.
- 01Prompt design and agent fundamentals
- 02Tool-use, retrieval, and basic memory patterns
- 03A shipped artifact reviewed by working practitioners
Open the path
02
AI Practitioner
Tier II5 modules8 lessons~2h
Locked · complete foundation first
Ship production-grade AI into the team's real stack.
- 01Multi-step orchestration across systems
- 02Evals, observability, and stabilization patterns
- 03Security and data-handling for production AI
Open the path
03
AI Architect
Tier III4 modules7 lessons~2h
Locked · complete practitioner first
Lead the platform and the rollout.
- 01Multi-agent orchestration and platform design
- 02Cost optimization, model routing, and run-cost modeling
- 03Org-design, governance, and adoption playbooks
Open the path

№ 00Curriculum

The curriculum

Three paths, taken in order or separately. Public cohorts and self-paced both earn a verified certification on completion.

01
AI Builder Foundation
Tier I4 modules9 lessons~2h
Make AI real in your day-to-day work.
- 01Prompt design and agent fundamentals
- 02Tool-use, retrieval, and basic memory patterns
- 03A shipped artifact reviewed by working practitioners
Open the path
02
AI Practitioner
Tier II5 modules8 lessons~2h
Locked · complete foundation first
Ship production-grade AI into the team's real stack.
- 01Multi-step orchestration across systems
- 02Evals, observability, and stabilization patterns
- 03Security and data-handling for production AI
Open the path
03
AI Architect
Tier III4 modules7 lessons~2h
Locked · complete practitioner first
Lead the platform and the rollout.
- 01Multi-agent orchestration and platform design
- 02Cost optimization, model routing, and run-cost modeling
- 03Org-design, governance, and adoption playbooks
Open the path

AI Builder Foundation

AI Practitioner

AI Architect

AI Builder Foundation

AI Practitioner

AI Architect