AI solutions built for commercial impact

Our approach is rooted in the principles of applied AI, where we combine cutting-edge technology, a deep understanding of your business, and our proven framework to deliver AI that creates measurable impact. Each project starts with a focus on the problems we’re solving, not just the technology, so that every solution is the right solution.

At the heart of our custom builds is a framework that breaks down AI design and development into clear, actionable layers — from understanding your data to delivering scalable, production-ready AI products. This locks in consistency, flexibility, and measurable results across all our projects, no matter the sector or problem space.

Our philosophy: 

AI that works, by design

We focus on what existing challenges AI can solve and what entirely new opportunies AI can create. We start by deeply understanding the challenges we will solve, defining success metrics, and aligning on the outcomes that matter most to your business. By putting the problem first:


  • We ensure AI is applied where it delivers the most value.
  • We avoid building solutions that fail to integrate into real-world workflows.
  • We can measure success in terms of transformational business impact, ROI, and user adoption.

The ecosystem:
how we bring applied AI to life

Our approach is designed to sequentially achieve success at each stage of AI product development. This framework provides a structured process that ensures nothing is overlooked, that your team is involved in the creation journey, and that we are building scalable and production-ready AI that provides a competitive advantage.

Opportunity Layer - Unlocking Growth Potential

Identifies how AI could solve existing challenges and unlock new growth opportunities

Creates a unified data ecosystem that enables more informed decision-making by breaking down silos, enabling seamless data accessibility for the next stages. This unified data foundation integrates internal and external data sources to generate new insights, not just synthesize or retrieve from existing data.

Develops a robust ontology for your commercial function that defines the relationships between data entities, processes, and business concepts unique to the organization. This includes embedding logic (rules and conditions governing data relationships) and action (outputs tied to specific scenarios) so that AI operates within a structured, context-aware framework.

Adapts a wide variety of models and tools to your context for accuracy, contextual relevance, and guardrails, eliminating the need to build models from scratch.

Combines technical deployment with a robust adoption strategy to integrate fully operational AI solutions into existing workflows with minimal disruption. The ontology layer is leveraged to create user-friendly interfaces and dashboards that reflect your familiar terminologies.

Tracks the performance and ROI of deployed AI solutions—uses advanced analytics, KPI tracking, and commercial logic and ontology updates to measure success and identify areas for evolution.

BOI’s smart pilots:
proving value first

We understand that organizations need tangible results before committing to transformative AI initiatives. That’s why we focus on building smart pilots – measured proof-of-concept products designed to validate their value and ROI in real-world scenarios. These pilots are not just experiments; they are carefully scoped to address critical business challenges, deliver actionable insights, and establish a clear roadmap for scaling.

What makes our smart pilots different?

  1. Focused objectives: designed to achieve specific outcomes – whether it’s creating a new capability, improving R&D outcomes, or unlocking new revenue streams.
  2. Rapid deployment, real results: our pilots are designed to be built and deployed quickly so that you can test solutions in days, not months. This lets you to see results faster and design your roadmap more effectively.
  3. ROI-led design: we align every pilot with measurable ROI metrics so that outcomes not only prove the concept’s technical feasibility, but also demonstrate its financial value to your organization.

From pilot to ecosystem transformation

A smart pilot is the first step. Once value is proven, we work with your team to create a measured roadmap for expansion. This roadmap ensures that the pilot evolves with exponentially increasing value, ultimately driving ecosystem transformation for your org.


  • Phased scaling: start small, then strategically add functionality, data sources, BUs, or markets to exponentially drive ROI.
  • Ecosystem integration: transition the pilot into a full-scale solution that integrates seamlessly across departments, platforms, and processes.
  • Future-ready growth: we design the solution to evolve with emerging technologies and growing business needs to retain and grow long-term value and impact.

What we do

Death of Segmentation webinar

Data Assessment, Preparation
& Transformation

Synthetic testing and living audiences

UX, UI & Front End Engineering

Product Strategy & Management

Autonomous Innovation Engines

AI, ML, Back End Engineering, ML/DevOps

How our approach is different

Outcomes, not just explorations

The products we build are always use case-led, so we have a clear vision in mind and a clear metric (or three) to target. This drives the decisions we make with our clients on what data inputs we use, what features are built and what functionality does and does not make it into the final product. Many of our clients come to us having experimented first with LLMs or SaaS tools that are great at facilitating AI experimentation, but did not achieve tangible results for their use cases.

Use case and function-specific

We work directly with different departments to build AI-powered products that drive their individual KPIs. Our strategy team is able to conduct thorough task analysis, design correct feedback loops, and establish human interaction protocols that set the groundwork for effective AI-native products. Once these products have been proven, we work to connect them at an operating model level via APIs and data input sharing to create exponential outcomes.

Relentless cost management

We love to find the best software tools out there and integrate them into our products if the ROI is high-enough, but let’s face it… SaaS can be expensive at scale. We conduct thorough cost analysis with our clients to manage and protect their long-term investment in new technology. This includes token planning, maintenance, licensing and vendor fees.

Tool-agnostic,
solution driven

Azure
Gemini
Anthropic
OpenAI
Stability AI
AWS
Snowflake
Google Cloud Services
Databricks
Mistral AI
Microsoft Autonomous Innovation Summit
Get in touch

Let’s talk about building your product