⚡ ⚡ HUMAN-CENTERED COUNTER-CONSULTANCY FOR THE AI AGE ⚡ ⚡ GIVE YOUR TEAM'S SUPERPOWERS, SUPERPOWERS ⚡ ⚡ UNLEASH THE UNDERDOG ⚡ ⚡ HUMAN-CENTERED COUNTER-CONSULTANCY FOR THE AI AGE ⚡ ⚡ GIVE YOUR TEAM'S SUPERPOWERS, SUPERPOWERS ⚡ ⚡ CHALLENGERS BITE BACK ⚡ ⚡ HUMAN-CENTERED COUNTER-CONSULTANCY FOR THE AI AGE ⚡ ⚡ GIVE YOUR TEAM'S SUPERPOWERS, SUPERPOWERS ⚡ ⚡ UNLEASH THE UNDERDOG ⚡ ⚡
PEOPLE-CENTERED AI TRANSFORMATION

ELEVATE HUMANS
WITH MACHINES

We help our clients leverage the full potential of AI to supercharge their organization, disrupt markets, and accelerate growth.

WHAT WE DO.

We do AI transformation the human-centered way. We get to know your team—their workflows, relationships, and tools; their objectives and what holds them back. We then design and develop AI workflows, automations, agents, and tools that help your team focus on the unique value they bring to their clients, customers, and your organization.

AI STRATEGY SPRINT

The AI Strategy Sprint rapidly identifies opportunities to optimize workflows, enhance employee capabilities, and improve client services through AI.

Each sprint centers on a clearly defined Job-to-be-Done (JTBD) within internal workflows or client services, quickly revealing opportunities and establishing a roadmap for subsequent Design Sprints.


AI Workflow Blueprint: A detailed, visual diagram of the future-state service experience.

Opportunity Briefs: Value propositions and descriptions of 5-10 high-impact AI opportunity areas.

AI Design Sprint Plan: Plan and prioritization of subsequent AI Design Sprints.

AI DESIGN SPRINTS

Rapid Prototyping: Fast-paced development cycles to build and test AI solutions, including:

  • MVP development
  • User testing and feedback integration
  • Iterative improvement based on real-world usage
  • Technical feasibility validation

Implementation Planning: Detailed roadmaps for full-scale deployment, covering:

  • Technical architecture and infrastructure needs
  • Change management and training requirements
  • Success metrics and KPI definition
  • Risk mitigation strategies

Continuous Optimization: Ongoing refinement and enhancement of AI capabilities through data-driven insights and user feedback.