Human-AI workflow pilot
Stop layering AI onto legacy workflows.
Start reinventing your workflows for the age of AI and make impact in weeks.
What it’s about
An intensive hands-on pilot that redesigns one critical workflow for Human-AI collaboration and delivers a production system, trained practitioners, and a scaling playbook.
Deliver an enterprise-ready Human-AI workflow operating with real users, data, and measurable outcomes.
Achieve tangible performance gains: typical pilot improvements include 25–40% efficiency and 30–50% quality gains compared to traditional workflows.
Train 15–25 employees as expert practitioners who can tune and teach the workflow.
Build learning flywheels with feedback loops so human judgment and AI improve each other over time.
Manage integration and tooling with vendor evaluation, procurement support, and systems integration handled end-to-end.
Obtain a scaling playbook with complete documentation, governance, and a phased rollout plan for broader adoption.
How it works
Stage 1:
Diagnostic and Human-AI workflow design
Where we map the existing workflow, identifying bottlenecks, and designing a new human-AI workflow with clear task allocations, feedback loops and success metrics.
The pilot unfolds over four stages, typically over an 8-12+ week period (depending on tool selection and data):
Stage 2:
Pilot mobilization and tool integration
Selecting and configuring AI tools, integrating them with existing systems and data, and developing documentation and training materials.
Stage 3:
Pilot execution and optimization
Launching the new workflow with the pilot team, monitoring performance, refining handoffs, optimizing outcomes, and coaching participants along the way.
Stage 4:
Pilot analysis and scaling plan
Creating a detailed playbook and training curriculum, designing a scaling roadmap, and presenting results and recommendations to executives.
Get in touch.
If you’d like to speak to a real human about our services, please give us your contact details.