Oliego AI Enablement Guide

AI enablement is the process of helping individuals and organizations adopt AI tools, workflows, and agents in a safe, strategic, and measurable way.
This guide covers both Beginners (personal productivity, small usage) and Enterprise Users (security, scale, governance).

Who This Guide Is For

What You Will Learn

This guide will walk you through:

• The fundamentals of AI workflows
• How to safely use the BRETT ecosystem
• Example beginner workflows
• Enterprise-grade agent orchestration
• Deployment models (cloud, VPC, on-prem)
• Security, compliance, and governance best practices

1. Understanding AI Enablement

AI enablement means combining technology, training, and operational policies to make AI a reliable part of daily work.

Common areas AI enables:

• Information retrieval
• Summaries & knowledge distillation
• Document generation
• Code assistance & debugging
• Data extraction & automation
• Multi-step agent workflows
• RPA-style “digital worker” tasks

2. Getting Started (Beginners)

Step 1 — Learn the Basics

Start with a simple foundation:

Step 2 — Set Up the CLI

curl -fsSL https://cli.brett.run/install.sh | bash
brett --version

Step 3 — Create Your First Agent

brett agent create task-buddy
brett agent run task-buddy

Great beginner use-cases:

• • Email drafting
• • Research notes
• • Weekly summaries
• • Social post generation
• • Data extraction from PDFs
• • Personal task automation

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3. Common Beginner Workflows

A. Daily Productivity

brett "summarize my unread emails"

B. Content & Writing

brett "generate 10 linkedin posts about my product"

C. Code Helper

brett "explain this code: ./src/api/index.ts"

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4. AI Enablement for Enterprise

Enterprise AI rollouts require more structure and governance.

Key Challenges Enterprises Face

• • Security & data protection
• • Compliance requirements (SOC2, HIPAA, ISO)
• • Private data training
• • Agent access to internal systems
• • Workflow reliability
• • Cost management
• • Shadow IT & unapproved tools

The BRETT Enterprise Stack

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5. Enterprise Deployment Options

1. Cloud (Default)

• • Fastest startup
• • Automatic updates
• • No infrastructure needed

2. VPC / Private Cloud

Benefits:

• • Data never leaves your network
• • Private connectors to internal systems
• • Ability to host custom LLMs

3. On-Premise

Recommended for:

• • Regulated industries
• • Zero-trust environments
• • Air-gapped systems

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6. Enterprise AI Maturity Model

Level 1 — Exploration

• • Chat tools
• • Simple content generation
• • No integrations

Level 2 — Assisted Workflows

• • AI inside apps
• • Standardized prompt templates
• • Basic agents

Level 3 — Task Automation

• • Multi-step agents
• • Data extraction
• • Scheduling & event-driven automation

Level 4 — System Orchestration

• • Connected systems
• • Stateful agents
• • Role-based permissions
• • Audited workflows

Level 5 — Full AI Transformation

• • AI embedded across all departments
• • Predictive systems
• • Custom models trained on enterprise data

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7. Example Enterprise Workflows

1. SOC2 Document Automation

brett "generate SOC2 evidence from this audit folder"

2. Customer Support Classification

brett "categorize tickets and assign priority"

3. Data Pipelines

• • Extract → Transform → Load using agent steps
• • Sync into CRM, data lake, or internal APIs

4. Engineering Workflows

• • Automated code reviews
• • PR summaries
• • Documentation generation
• • Incident postmortem drafts

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8. Best Practices (All Users)

For Beginners

• • Start small
• • Use templates
• • Focus on 1–2 daily processes
• • Track time saved

For Enterprise

• • Define data boundaries
• • Train staff on usage policies
• • Deploy RBAC + audit logs
• • Set cost ceilings
• • Standardize pipelines
• • Build a governance council

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9. Next Steps

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