What does AuraPath AI do?

AuraPath AI is an AI-native enablement agency headquartered in Los Angeles, serving companies across the United States, and a member of the Anthropic Partner Network. We work in three modes: Build (production AI systems, agents, and agentic platforms), Implement (Claude, Codex, ChatGPT and Gemini installed and connected to your stack), and Enablement (executive, department and one-to-one programs, plus a self-paced platform with certification). Engagements use one mode or combine all three.

What is AI enablement?

AI enablement is the work of making a team genuinely productive with AI: training people on tools like Claude and Claude Code, redesigning workflows around agents, and transferring the judgment to run and extend those systems in-house. It differs from implementation alone because the deliverable is a capable team, together with working software.

How does an AuraPath engagement work?

Engagements follow a staged process: discovery to identify the highest-value workflow, a fixed-scope proof of concept on your real data that ends in a clear go or no-go recommendation, phased delivery into production, and an optional monthly retainer for maintenance and coaching. Every AI feature is tested against an evaluation suite before it ships.

What makes AuraPath AI different from other AI consulting firms?

Three things. First, we are an Anthropic partner with deep specialization in Claude, Claude Code, and agentic architectures, so recommendations come from daily production experience rather than vendor surveys. Second, evaluations are mandatory: no AI feature ships without a tested eval suite defining what good looks like. Third, we enable as we build, so your team owns the system and the judgment behind it after we leave.

Discovery · 2–4 weeks

Discovery is fully refundable.

If it is not worth what you paid, we refund it. If you move forward, the whole fee is credited against the production contract.

Length

2–4 weeks

Scope

One department

Guarantee

100% back

If you proceed

Credited in full

.01
Deep dive into one department
Forward-deployed operators work inside the team, not from a conference room.
.02
Map the web of processes
Our agent swarm gathers the data and traces how work connects across systems and teams.
.03
Set the baseline
Where you are today in real numbers: cycle times, cost per unit of work, and where money leaks out.
.04
Forecast the ROI, then the plan
What we think we can move, what that is worth, and the order we would build in.

Start the intake assessment See the work

Deep dive into one department

Map the web of processes

Set the baseline

Forecast the ROI, then the plan