Most AI training happens outside the work. Someone demonstrates a tool. Participants practice a technique. Everybody learns a few useful ideas. Then Tuesday happens.
The inbox fills up. The customer needs something. The deadline moves closer. The employee returns to the workflow they already know. We take a different approach.
We take a different approach.
AI Work Labs build AI capability that your team can own themselves. Your people bring real work they are responsible for completing, and we work on it together — using current AI capabilities to improve the output, rethink the process, and help employees develop the judgment required to direct AI well.
We Can Work Together
Bring us the work. It might be a campaign brief, a customer analysis, a competitive report, an account plan, a presentation, a research project, a recurring task nobody likes, or a process everyone knows takes too long.
We help employees work through it with AI while the context, constraints, expertise, and consequences are real. That matters because using AI well is not primarily about remembering prompts; it is about making decisions.
- What should I delegate? How should I direct it?
- What context does it need? Is this output good enough?
- What is missing? When should I intervene?
- Where does my expertise still matter?
And if AI makes this dramatically easier, what should change about the work around it? Those decisions are learned by making them.
We Can Build It For You
Your people bring the same work, but you want us to take the lead on creating the solution.
We interview the people involved, review examples, and understand the context, constraints, workflows, and decisions that shape the work. Then we design, build, and test the AI workflow.
Your team contributes its expertise and evaluates the results. We handle the development, refinement, and documentation.
- Understand the work. Where does it get stuck?
- Design the workflow. What should AI handle?
- Build and test. Verify quality and reliability.
- Put it to work. Measure the improvement.
Your team leaves with a working workflow and the guidance to use it, without having to learn how to build it themselves.
We Bring the Frontier Into the Room
Every new AI release does not deserve your team’s attention. Some do. A model becomes capable of handling work that failed six months earlier. Agents become reliable enough to manage a longer sequence. Research capabilities improve. Multimodal tools make a previously manual process practical.
The important thing is not simply knowing that the capability exists — it is recognizing that something your team does may now need to change. We stay close to those developments, bring the relevant ones into the Lab, and test them against your work.
What You Leave With
Applying AI to real responsibilities
Better judgment about delegation
Repeatable workflows
Clearer human/AI boundaries
Ability to recognize when task gains should trigger workflow redesign
Different Teams. Different Work.
The model stays the same, but the work changes by function.
Marketing
Campaign planning, message exploration, competitive monitoring, analytics, and AI search visibility — without losing the judgment and voice that make the work valuable.
Sales
Account research, territory planning, prospect prioritization, personalized outreach, call prep, and proposal development — reducing the work around customer engagement.
Market Research
Research design, screeners, discussion guides, qualitative coding, and synthesis — moving faster while keeping researchers responsible for judgment.
Operations
SOPs, recurring reporting, vendor evaluation, documentation, and workflow automation — starting with a repetitive task and redesigning what happens around it.
Finance
Budgeting, forecasting, expense analysis, and scenario planning — spending less time organizing information and more time deciding what to do next.
Learning & Development
Budgeting, forecasting, expense analysis, and scenario planning — spending less time organizing information and more time deciding what to do next.
What can AI now do, and what should that change about the work? We build Labs around that question.
What Makes Us Different
Research-Led Work Redesign
Backed by years of research into how real-world organizations adopt, resist, and scale technology use.
What this means for you: a plan grounded in evidence, not guesswork or hype.
Built for Business
We understand the complexity of organizations today where workflows can be complex, workflows are cross-team, and the need to increase team productivity is high.
What this means for you: a plan tailored to business realities.
Integrated with Training & Change Management
We connect your AI vision to practical enablement — team training, change management, and ongoing market insight.
What this means for you: a unified approach from insight to execution.
Guided by Fluid Intelligence®
Our proprietary model keeps human judgment at the center of agentic AI deployments.
What this means for you: your people stay in control.