Reusable starting points that save time on every project — grouped the same simple way: data, and AI.
steps from raw data to genuinely useful
quick-start agents, live in days
platform starter kits, ready to go
A simple four-step setup we reuse on every project, so data goes from raw to genuinely useful.
Data is brought in as-is, from any system or file type.
Data is cleaned, standardized, and duplicates are removed.
Data becomes trusted reports and numbers people can rely on.
Related information is linked, so AI understands how things connect.
Reusable building blocks for the AI tools and agents we build, so we’re not starting from zero each time.
A simple way to review existing AI tools and decide what to keep, combine, retire, or build new.
Clear written rules for what each AI tool can do, what it needs, and when it should say no.
A standard set of checks so every AI tool is accurate, consistent, and safe before it goes live.
A simple playbook for improving AI tool performance over time, based on real usage.
Small, useful agents that don’t need a long project. Each one runs on Copilot, Agent Foundry, Gemini, or Claude — whichever you already use.
Answers from your own files, policies, and manuals.
Flags missing or unusual data automatically.
Ask data questions in plain English, no queries.
Turns dashboards into a short daily update.
Routes incoming support requests to the right team.
Summarizes calls into clear notes and actions.
Ready-made workbenches and templates that speed up setup on the major AI platforms.
Start Microsoft Copilot safely and fast.
A template for your first agents.
Get going with Google's Gemini tools.
Get going with Anthropic's Claude tools.
ON OUR ROADMAP Turning each starter kit into a version built for specific industries — so a healthcare team and a retail team each get a kit that already speaks their language.