Our expertiseAI and analytics built around business decisions.
We help teams choose where AI belongs, improve commercial execution and establish the data foundations to support both. Each engagement starts with a specific business question and a clear way to judge progress.
Enterprise AI Strategy & Decision Systems
Make the right AI investments. Put them to work.
Develop an enterprise AI strategy grounded in business priorities. We help identify valuable use cases, assess readiness and build a sequenced roadmap. Where implementation is the next step, we develop decision-support tools and focused AI workflows with evaluation and human oversight built into the approach.
Engagements can include:
Enterprise AI strategy and use-case prioritization
Business-value assessment and implementation roadmaps
Decision-support tools and knowledge-retrieval workflows
Foundation-model selection and evaluation
Governance, adoption and success-measurement plans
Precision Growth & Commercial Effectiveness
Turn customer insight into more effective action.
Improve who you engage, how you prioritize effort and how you measure results. We combine segmentation, precision targeting and optimization with the operating realities of sales and marketing teams, connecting recommendations to call plans, campaigns and commercial performance.
Engagements can include:
Customer segmentation and precision targeting
Call planning and salesforce effectiveness analysis
Next-best-action and resource-allocation optimization
Marketing operations and omnichannel measurement
Incrementality analysis, experimentation and marketing mix modeling
AI Data & Knowledge Foundations
Connect your data to the way your business works.
Useful AI needs reliable information and clear business context. We help teams organize and connect their data, document meaning and relationships, and make knowledge easier to retrieve and use across analytical and AI workflows.
Engagements can include:
Data-readiness and data-management assessments
Metadata strategy and shared business definitions
Knowledge graphs and ontology design
Data and knowledge architecture for AI use cases
Workflows that connect enterprise data with AI decision support
Technology in service of the decision.
Work can draw on Snowflake and Databricks for enterprise data, Neo4j and graph-based approaches for connected knowledge, and Claude, ChatGPT and other foundation models for AI workflows. The choice follows the business need, data requirements and operating environment.
AI and analytics for MedTech and life sciences commercialization.
Bring sharper customer insight and clearer measurement to commercial execution. Skylight applies experience in pharmaceutical commercial data science and healthcare analytics to the priorities of MedTech and life sciences teams.
We help commercial leaders connect strategy with execution: identify the customers that matter, guide field and omnichannel engagement, improve marketing operations and evaluate what is working. AI strategy and data foundations support those decisions across the commercial organization.
Engagements can include:
Commercial AI strategies and implementation roadmaps
Customer segmentation and precision targeting
Call planning and salesforce effectiveness
Launch execution analytics and engagement measurement
Marketing operations and commercial resource optimization
Knowledge and data foundations for commercial AI
Discuss your commercial priorities →
Which decision would create the most value if you improved it?
Let’s define the opportunity and the practical steps to get there.