AI for Business

Most AI training stops at prompting—writing better questions, summarizing documents, drafting emails. That's baseline literacy, not competitive advantage.

The bigger gap: Even when teams learn tools, they lack the conceptual framework to know when to use them, what problems they're actually suited for, and how to evaluate if an AI solution makes business sense.

The reality: In 2025, AI fluency means both understanding strategic applications AND having hands-on ability to build solutions. Your team is leaving productivity gains on the table because they're missing one or both sides of this equation.

Professional Development Training

What We Offer

ReRev Labs designs custom AI professional development programs that combine conceptual understanding with technical application—teaching your team not just how to use AI tools, but when, why, and what problems they actually solve.

We do this by teaching your team code literacy, aka the ability to use AI to solve real business problems with generated code, no computer science degree required.

Our workshops transform how your team approaches daily challenges, from manual data tasks to workflow bottlenecks to communication gaps. Participants leave with immediately applicable skills and working examples they built themselves.

We don't teach coding. We don't teach "prompt engineering". We teach a new way to think and create.

Book a free consult for your organization

Example Modules

All trainings are intentionally designed to meet the demands of your specific company needs, but here's a sneak peak at modules used in the past for other corporate training clients.

Data Automation for Business Users

Workflow Automation in Existing Tools

Conceptual: Mapping processes to identify automation opportunities with highest ROI

Technical: Building custom automations within Google Workspace

Applied Impact: Elimination of repetitive tasks, standardized processes, freed capacity

Conceptual: Recognizing which data tasks should be automated vs. which require human judgment

Technical: Creating Python scripts that clean, organize, and analyze data

Applied Impact: 5-10 hours saved per week per person on manual data tasks

Rapid Pitch Prototyping for Non-Technical Teams

Conceptual: Understanding when visual mockups accelerate decision-making vs. slow it down

Technical: Building live, clickable prototypes using AI-generated HTML/CSS

Applied Impact: Faster concept validation, better stakeholder communication, reduced dev dependencies

AI-Powered Research for Market Validation

Conceptual: Using AI to discover and map publicly available data sources while learning to evaluate source quality and reliability for market validation

Technical: Building custom AI research assistants that gather competitive intelligence, analyze market trends, + validate business assumptions

Applied Impact: Faster validation cycles, data-driven decision making

Training Engagement Options

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Single Day

Available as Lunch & Learn (1 hour), Half-day (3 hours), Full-day

Multi-Session Program

A progressive series covering the full scope of AI problem-solving for your selected workforce. Each session builds on the last, with homework and implementation support between sessions.

What's Included:

Comprehensive pre-program assessment of team roles and needs
Tailored curriculum mapped to your company's specific processes
Multiple cohorts or department-specific tracks if needed
Implementation coaching between sessions
Progress tracking and ROI measurement
90-day ongoing advisory support

Common Multi-Session Structures:

Foundations + Specialization: Core concepts for everyone, then role-specific deep dives
Department by Department: Sales automation, then marketing automation, then ops automation
Beginner to Advanced: Start with conceptual frameworks, progress to complex integrations

(2 - 6 workshops)

A standalone session customized to your team's highest-priority use case. We focus on one or two core modules that address your most pressing operational challenges.