Project Overview
Strategy & Advisory
AI Products & Platforms
Agents
Governance & Risk
Aperian set out to expand its GlobeSmart platform with AI-powered advice personalization and cross-cultural messaging tools to help global teams communicate more effectively. While the company possessed deep cultural intelligence and rich profile data, users struggled to translate insights into practical, real-world actions without facilitation or extensive preparation.
SFAI Labs partnered with Aperian’s leadership and product teams to design an AI Product Strategy that transformed static cultural assessments into dynamic, actionable coaching experiences. Using our lab acceleration model, we aligned technical design, product vision, and commercial priorities to support rapid experimentation and scalable deployment.
Within ten weeks, SFAI Labs delivered an execution-ready architecture and MVP direction for personalized cultural coaching, scenario simulations, and culturally adaptive messaging. The solution embedded AI directly into the GlobeSmart platform, enabling contextual guidance across sales, HR, and customer engagement workflows.
The result was a modular AI foundation that enables global professionals to prepare faster, communicate more effectively, and reduce costly cross-cultural misunderstandings.
Key Takeaways
Cultural intelligence drives performance
Personalization increases adoption
Embedded AI improves workflows
Phased delivery reduces risk
Platform-first design enables scale
Challenge
Aperian’s enterprise customers relied on GlobeSmart profiles and guides to navigate cultural differences, but users needed interpretation and coaching to apply insights in real situations. Existing tools were static, time-consuming to use, and difficult to integrate into daily workflows. Teams also lacked scalable ways to adapt outbound communication and internal messaging across cultures.
Strategy
SFAI Labs designed a dual-track strategy focused on advice personalization and cross-cultural messaging. We prioritized high-impact use cases such as profile comparisons, AI coaching, message composition, and scenario simulations. The roadmap emphasized embedding AI within existing workflows, establishing clear evaluation criteria, and aligning feature development with monetization and upsell opportunities.
Solution
We designed an AI coaching and messaging platform layer featuring:
Personalized cultural guidance based on GlobeSmart profiles
Context-aware advice generation
Cultural style-sensitive email and message composition
Scenario simulations and role-play tools
Priority-based reasoning (personal, organizational, cultural data)
Integrated evaluation and feedback mechanisms
The system leveraged large language models, contextual retrieval, and orchestration pipelines to deliver consistent, explainable, and enterprise-safe guidance.
Execution
Week 1–2: Opportunity assessment and use case prioritization
Week 3–4: System architecture and data integration design
Week 5–6: Advice personalization and messaging prototype
Week 7–8: Evaluation framework and feedback iteration
Week 9–10: MVP refinement and deployment readiness
Results
Functional AI coaching sandbox delivered
Personalized messaging workflows validated
Platform-ready AI architecture established
Business Value
The engagement enabled Aperian to expand GlobeSmart from a cultural awareness platform into a skills-based coaching system. Customers gained faster preparation for meetings and communications, reduced misunderstandings, and improved engagement across global teams. The new AI capabilities also created clear pathways for upsell, API licensing, and bundled offerings.
Why SFAI Labs
SFAI Labs combined deep AI strategy, platform engineering, and commercial insight to transform cultural data into scalable, revenue-generating products. Our lab model enabled rapid validation while ensuring the solution met enterprise requirements for reliability, integration, and growth.
