Agentic data strategy
Every company has access to the same frontier AI models. That puts you at competitive parity. Competitive advantage comes from your proprietary data, put it to work in your unique processes. But injecting AI into your existing data stack is insufficient. You need a new approach to reducing the time, cost, effort, and risk of repurposing data across your company.
Enter the databot architecture: proprietary data products, each governed by its own AI agent, organized in a secure enclave where they can interact, negotiate, and generate new value. Data by bots for bots, with humans on the loop.
- Databot design and strategy — proprietary data products, each with its own AI agent
- Secure enclave architecture where databots interact, negotiate, and derive new value
- A data strategy built on what only your company knows applied as only your company can
What you get: Competitive advantage no rival can copy, buy, or replicate.
Let's talkAgents for normies
You can’t lead what you haven’t practiced. If you’re not relying on AI agents for you day-to-day work, you can’t lead your data team to more effective AI use.
This engagement teaches executives to build and use AI agents in their own work. It encourages the AI virtues: using AI to learn new things, attempt more ambitious goals, and take responsibility for the outputs.
- 1:1 coaching and workshops for executives and leadership teams
- Hands-on agent building — not just theory, not just demos
- AI fluency grounded in real work, not hypotheticals
What you get: First-hand AI experience that sharpens your agentic data strategy.
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