Self-serve products and information.
Practical resources people can use immediately: kits, scanners, analyst flows, sample reports, prompts, checklists, templates and short guides.
Self-serve offer stack
A practical route from AI curiosity to usable capability.
Leap Into AI is being built as a self-serve library first. Start with literacy and opportunity discovery, then move into reports, templates, workflow kits and practical learning resources. Live workshops and integration support are coming soon.
Educate, consult, integrate.
Every resource should help people learn enough, map the real work and take a sensible next step without pretending AI is magic.
Live and in-person delivery.
Workshops, facilitated discovery, C-suite alignment and guided pilots will sit on top of the self-serve base once the product library is sharper.
Self-serve library
Products and resources to build first.
Plain-English foundations for safe everyday AI use, prompt quality and human review.
Guided questions that help people describe pain points and produce a draft opportunity brief.
Map the messy work, safe first pilots, risk boundaries and capability path before buying tools.
Create reusable prompts, checklists, templates and human review points.
Keep sensitive information and final decisions under human control.
Document how to use a workflow and what good output looks like.
Add the next practical win once the first one is genuinely being used.
ECI product path
The same method, packaged for self-serve use.
A plain-English baseline for safe AI use, prompt quality, human review and first use-case selection.
Turn vague interest into a ranked list of practical opportunities, risks and next-step recommendations.
Role and function-specific guidance for everyday productivity, safer prompting and repeatable team habits.
Reusable prompt sets, process notes and review checklists for common admin, sales, support and content workflows.
The flagship capability offer for teams ready to design, validate and operate AI systems that act.
Workshops, facilitated discovery, guided pilots and adoption support after the self-serve base is established.
Individual ladder
From curious about AI to building agentic systems.
Explain agents, workflows, tool use and the day-to-day work of building production-relevant AI systems.
A free mini-course and roadmap that helps learners move from using AI to building with AI.
Non-technical, scripts-to-agents and developer paths, each leading toward the deeper accelerator.
Project-based learning with RAG, tools, agents, evaluation, deployment hygiene and portfolio outputs.
Case-study templates, GitHub README guidance and a clear narrative for agentic engineering capability.
Show-and-tell sessions, feedback, office hours and practitioner conversations to sustain momentum.
How people enter
Different starting points, one self-serve ecosystem.
AI Literacy Starter Kit
Use this when someone needs the baseline language, safety habits and confidence to begin.
Get the kitAI Business Analyst
Use this when the pain is real but the question, use case or first safe test is still fuzzy.
See a sample reportLive delivery
Workshops, alignment sessions and guided pilots will come after the self-serve resources are clearer.
View sample outputStart simple
Find the right first step before buying another AI tool.
Use the kit, analyst and sample report to understand where the work is painful, what is safe to test, and what capability is missing.
Start with the free kit