From AI Pilots to Proven Experiences

Most AI pilots fall short of delivering meaningful business impact. In fact, according to McKinsey, 90% of vertical AI solutions fail to even make it to production.

There are various reasons for these missteps, but they often share a root cause: there is too little focus on the user experience itself.

There are several telltale signs of a poorly considered AI experience:

• Clunky interfaces and workflows: Even strong models go unused if the experience feels unnatural or interrupts how people work.
• Unclear interactions: Users hesitate to trust AI when they don’t understand how to engage with it or what to expect.
• Adoption fatigue: When AI feels bolted on instead of designed in, employees resist incorporating it into their daily routines.
• Scaling without design guardrails: Without thoughtful design, expansion leads to inconsistent, frustrating user experiences that erode trust.

What it all comes down to is that the experience of adopting AI, whether you are adding an assistant to make a single task more efficient or creating an agentic framework to automate entire functions, must seamlessly fit into the way your people and organization operate.

AI must be designed to fit people, not the other way around.

Our Answer: Experience-First AI

We don’t just bring AI to production. We design AI experiences that become part of how people work, collaborate, and succeed.

At the center of our approach is Bounteous AI Experience Patterns, a library of components and key interaction templates optimized for common and critical enterprise AI use cases. These patterns help organizations rapidly move beyond costly experimentation and into scalable, trustworthy, and valuable adoption.

We’re also pushing the boundaries of how people engage with AI experiences—moving beyond simple chat-based formats to create optimal, evidence-based engagement modalities that fit how users want to interact with technology in different contexts.

And we think about success differently. Success should not be measured by technical delivery alone. We use Experience SLOs that consider outcomes like adoption, trust, and time-to-value that show when AI is truly delivering impact.

The Bounteous Framework for Building Experience-First AI

1. 1. Prioritize Experience from the Start

   Our approach is engineered to create usable and engaging experiences that drive adoption.

   • Experience-First Metrics: We prioritize adoption, trust, and task success as the measures that matter.
   • Reusable Patterns: Bounteous AI Experience Patterns provide modular, proven designs that speed delivery and reduce implementation risk.
   • Experience QA: We stress-test both the model and the user journey—ensuring trust, explainability, and safety.
   • Change-by-Design: Adoption strategies are embedded into workflows and roles so AI feels like a natural fit.

2. 2. Build Through Flexible Solution Pathways

   To meet organizations wherever they are in their AI maturity, we provide a set of structured pathways.

   • Readiness & Strategy: AI maturity assessment, experience audit, and business case development.
   • Co-Innovation Design Sprint: Progress from idea to clickable prototype in days, not weeks. Experience our Bounteous AI Experience Patterns in action.
   • AI Experience Build & Rollout: End-to-end implementation, integration, iterative design, and structured adoption.
   • Scale & Enhance: Ongoing Experience QA, governance frameworks, and monitoring for value and safety.

3. 3. Focus on the Metrics that Matter

   We measure success with Experience SLOs, and tie them directly to how people experience AI:

   • Time-to-First-Value ↓: Shorter time for employees to see tangible results, reducing onboarding time from months to weeks.
   • Guided Task Completion ↑: AI that walks users through complex tasks with confidence.
   • Adoption & Satisfaction ↑: Wider usage across roles and improved employee sentiment.
   • Trust Index ↑: Users understand why an AI made a recommendation, strengthening confidence and repeat use.

Our Approach Carves a Clearer Path to Adoption

With Experience-First AI, organizations don’t just get functional models. They get AI designed for trust, adoption, and measurable business outcomes. Our approach turns experimentation into true and measurable enterprise impact.