GenAI analytics
At GenpactCXO Insights
Built around the idea that leadership workflows need structured synthesis rather than raw model output, blending summarization with defensible framing and navigation.
Built as part of a team at Genpact, shaping executive-facing GenAI experiences for structured decision support.
System flow
Executive insight synthesis flow
A decision-support pipeline that turns scattered business signals into structured themes, executive narratives, and evidence-backed insight surfaces.
Tap a handoff to inspect that part of the flow.
Current handoff
CollectBusiness signals to Insight pipeline
Overview
What this system does
CXO Insights is an executive-facing GenAI analytics experience for turning broad business context into structured insight. The system is designed around synthesis, prioritization, and narrative clarity rather than raw model output.
The product problem is different from a chat assistant. Leadership workflows need fast scanning, defensible framing, and a way to move from high-level themes into supporting context without losing nuance.
Contribution
My role in the build
The parts of the system where my ownership and design work mattered most.
Built as part of a team at Genpact, contributing to how executive-facing GenAI experiences should be structured for decision support.
Focused on the information architecture of generated insights: themes, summaries, narrative layers, and evidence-backed framing.
Helped shape the experience around clarity, scannability, and trust so generated output could support leadership workflows.
Architecture decisions
Design choices that made the system easier to reason about
Decision 01
Structure insights as layers
The experience avoids one flat summary and instead organizes output into themes, narratives, and supporting context.
Decision 02
Design for executive scanning
Content is shaped for quick prioritization, context switching, and clear next questions rather than long-form model prose.
Decision 03
Keep synthesis defensible
Insight generation is framed around evidence and traceable business context so summaries do not feel detached from source material.
Decision 04
Support decision loops
The system is designed so executive questions can feed the next pass of prioritization and synthesis.
Reliability
How trust was designed into the workflow
Evidence-aware synthesis patterns to reduce generic or unsupported summaries.
Narrative structure that makes assumptions and prioritization easier to inspect.
Separation between theme extraction, narrative generation, and executive presentation.
Decision-support UX that encourages follow-up exploration instead of treating the first response as final.
Workflow behavior
How the system moves from input to output
Business signals are collected from relevant input sources.
The insight pipeline normalizes and stages the context for synthesis.
Theme extraction identifies recurring patterns, priorities, and weak signals.
Narrative generation converts those themes into executive-ready framing.
The CXO surface presents insight layers and feeds follow-up questions back into the decision loop.
Tech stack
Technology grouped by responsibility
Synthesis
Decision support
Trust
Next improvements
What I would strengthen next
Add clearer evidence trails for every generated executive insight.
Introduce stronger quality checks for unsupported or overly generic synthesis.
Create role-specific views for different leadership personas and decision contexts.
Adjacent work