PRACTICAL AI TRAINING BY RAUL LEE BHASKARAN AND AXON AVENUE

One AI capability. Four serious working contexts.

Applied AI is one practical training engine configured to the decisions, workflows, risks and outputs of the people in the room. Select your context to inspect the relevant version.

Choose the relevant operating context

The Adaptive Capability Core: one shared AI methodology reconfigures across legal, business, technology and individual work.

SELECT OPERATING CONTEXT

Which version is relevant to you?

One practical AI course; configured to the work you actually do.

Law FirmsIntake, chronology, drafting, knowledge and practice operations.BusinessSOPs, proposals, reporting, sales preparation and administration.IT TeamsGoverned daily use, service desk, AIOps and technical implementation.IndividualsWriting, research, analysis, planning and repeatable personal workflows.

ONE ENGINE / FOUR CONTEXTS

A shared method. Profession-specific proof.

The course does not swap a headline over identical material. Each route changes the demonstration, curriculum examples, assets, risk controls, value model, logistics, pricing and enquiry.

Law Firms

Intake, chronology, drafting, knowledge and practice operations.

Inspect this course 02

Business

SOPs, proposals, reporting, sales preparation and administration.

Inspect this course 03

IT Teams

Governed daily use, service desk, AIOps and technical implementation.

Inspect this course 04

Individuals

Writing, research, analysis, planning and repeatable personal workflows.

Inspect this course

THE ONE-DAY SPINE

From understanding to adoption in eight moves.

One-day practical course. Every unit produces or improves an operating asset.

01Understand09:00–09:30
Know what the model can and cannot do.
02Direct09:30–10:30
Give context, constraints and examples that improve the work.
03Produce10:45–12:00
Build a repeatable output from a real working pattern.
04Verify12:00–12:45
Check evidence, assumptions and failure modes before use.
05Automate13:45–14:30
Turn a good interaction into a dependable workflow.
06Govern14:30–15:15
Set boundaries for data, judgment, access and accountability.
07Apply15:30–16:30
Complete a track-specific practical lab.
08Adopt16:30–17:00
Prioritise what happens in the next 30 or 90 days.

Safe operation is part of the method.

AI output is a draft until the accountable human verifies it. Use synthetic, anonymised or expressly approved information in practical exercises. Start with the work and its risks, then choose the tool. Every useful interaction should become a reusable operating asset.