AI systems your team can run.

1. AI systems your team can run

A discussion brief for founders and operations leaders. Manuel Ayala, founder of AI Vortex. September 2026. Scope agreed after fit review.

2. When outside systems ownership helps

A recurring workflow is slow, inconsistent or hard to hand over. AI is already in use; review and context still depend on you. A useful starting point is one workflow, an internal owner and willingness to invest.

3. AI Systems Blueprint

An implementation decision before committing to a build. From $2,500; 7–10 business days. Published terms confirmed after fit and scope. Workflow and handoff maps, recommended architecture, build/buy/configure/connect decisions, review and ownership controls, pilot scope, 90-day roadmap and private Loom.

4. AI Systems Pilot

One workflow in controlled use. Typically 3–6 weeks; scope and price agreed for the workflow. Build, measure and hand over. Illustrative research workflow: source → draft → named review → handoff. A missing source holds the item in review until the reviewer resolves it. After the pilot, an Embedded AI Systems Partner can provide ongoing ownership; no public monthly package.

5. Public work you can inspect

The review-capacity calculator separates incoming work from available review time. Legal AI Risk Intelligence connects source-linked cases and evidence. These are AI Vortex’s own public artifacts, not client outcomes or promised savings.

6. Work directly with Manuel

Founder-led through handoff. Manuel diagnoses the operation, recommends the next move and stays accountable through delivery. Your team brings an internal owner, operating context and access that can be agreed safely. A finished AI specification is not required.

7. Talk directly with Manuel

Tell me what gets stuck, who owns it and what needs to change. A short email is enough. Please leave out confidential files.

aivortex.io/consulting/