Should Brillio prioritize expanding its AI-powered analytics solutions to new industries or focus on deepening capabilities within existing verticals?

Introduction

The key trade-off Brillio faces is whether to expand its AI-powered analytics solutions to new industries or deepen capabilities within existing verticals. This decision will significantly impact Brillio's growth strategy, resource allocation, and market positioning. I'll analyze this trade-off by examining the current product landscape, potential impacts, key metrics, and experimental approaches to inform a strategic recommendation.

Step 1

Clarifying Questions (3 minutes)

• Based on Brillio's current market position, I'm thinking we might have a strong foothold in specific industries. Could you share which verticals we're currently serving and how our AI solutions are performing in those markets?

Why it matters: Helps assess the potential for deepening capabilities vs. the need for expansion Expected answer: Strong presence in finance and healthcare, with growing traction in retail Impact on approach: Would influence whether to build on existing strengths or diversify

• Considering our revenue model, I'm assuming we operate on a SaaS model with industry-specific pricing. Is this correct, and how does our pricing strategy vary across different verticals?

Why it matters: Informs the financial implications of expansion vs. deepening Expected answer: Tiered SaaS model with industry-specific features and pricing Impact on approach: Would affect how we evaluate the revenue potential of each option

• Looking at user adoption, I'm curious about the current user satisfaction and feature utilization rates in our existing verticals. Do we have data on these metrics, and how do they compare across industries?

Why it matters: Indicates whether there's room for improvement in existing verticals Expected answer: High satisfaction but varying feature utilization across industries Impact on approach: Would guide whether to focus on increasing adoption or expanding reach

• From a technical perspective, I'm wondering about the modularity of our AI solutions. How easily can we adapt our existing technology to new industries versus enhancing capabilities for current ones?

Why it matters: Assesses the feasibility and resource requirements for each option Expected answer: Core AI engine is adaptable, but significant customization needed for new industries Impact on approach: Would influence the timeline and resource allocation for each strategy

• Regarding our team capacity, I'm thinking about our current expertise distribution. Do we have more industry-specific experts or AI generalists on our team?

Why it matters: Determines our readiness for expansion vs. deepening capabilities Expected answer: Mix of both, with slightly more industry experts Impact on approach: Would affect hiring and training strategies for each option