Clarity and Cohesion at AI Speed
Orchestrate Strategic Portfolio for Agentic Enterprises
Context, Intelligence & Tools — integrated across every layer of strategy, execution, and outcomes of your product operating model, where executives, builders, and agents decide, act, and improve portfolio outcomes at AI speed and scale.
Trusted by Thousands of Enterprise Product Teams
Strategic Portfolio Management for the AI Era
Accelerate strategic decisions with a mission-control data and decision hub for executives to set, deploy, and monitor goals, OKRs, and investments, while providing teams the context to prioritize effectively and ensure on-strategy execution.
AI with Portfolio Context
Strategic Planning & Cascading
Real Time Strategic Visibility
Strategic Scenarios On-Demand
AI with Portfolio Context
AI Assistant detects hidden risks, identifies potential opportunities, and provides recommendations to adjust quickly and confidently.
Learn more about the AI Assistants and Agents
Strategic Planning & Cascading
Align and deploy strategic goals, OKRs and associated allocation across all levels of product portfolio.
OKR Tree – Learn more about the Strategy App
Real Time Strategic Visibility
Have a hub for automated strategic monitoring between target and actual on product & business metrics as well as allocation & roadmap delivery to spot risks and adjust plans.
Strategic Scenarios On-Demand
Model sequences, project benefits, or evaluate trade-offs on new opportunities based on the reality of portfolio execution, across traditional and agile environments.
Learn more about the Planner App
An integral part of the Product Portfolio OS
Active Ontology
Ambient agents continuously monitor signals and keep data up to date across Dragonboat apps, integrated tools, and external systems—so every team, agent, and human operates from the same live context foundation.
Decision Intelligence
Ambient agents continuously reason across the portfolio operating graph, turning shared context and memory into runtime intelligence—so humans and AI can see implications, evaluate trade-offs, detect drift, and surface next-best actions as decisions evolve.
In App or Headless
Embedded AI powers each step of the PDLC: from insights to spec to code to customers, along with on-demand scenarios and delivery tracking autopilot. Execs, teams, and AI agents can collaborate and optimize product outcomes in app—or “headless” via APIs, MCP, agents, and integrated tools.