The Ontology-native Platform
powers your product operating model
Where humans and agents orchestrate decisions and work together to deliver portfolio outcomes with speed and cohesion.
Ontology-Native OS
Elastic Portfolio Ontology
Decision Context Graph
Apps & Headless Access
Run agentic product operating model
Where executives, builders, and AI agents reason, act, and adapt — from one shared portfolio reality. Every decision and action — human, agent, or headless — is a deterministic, attributable change to the ontology.
Brings together:
- Product Operating Ontology: semantic layer that captures all aspects of operating model from strategy, product, investment, to revenue and delivery, as a live, integrated source of portfolio context.
- Intelligent Decision Context Graph that continuously learns from signals, interactions, and decisions.
- Collaborative Layer where teams and agents operate together, with every interaction feeding back to enrich portfolio context.
Ontology-Native OS
The foundation for your strategic product portfolio operating model.
The semantic layer that reflects a living ontology of your product operating model, stitching data and signals across systems, workflows, and interactions to give humans and AI agents a shared reality to make decisions and take actions.
- Dynamically ingests, normalizes, and maps signals from Dragonboat PM & SPM apps and integrated revenue, customer, BI, and engineering tools.
- Captures operating business rules, institutional knowledge, signals and context continuously.
- Built for enterprise trust, with security and governance across every context and agent.
Elastic Portfolio Ontology
Reason, learn and orchestrate your strategic decisions
The Operating Context Graph continuously learns from portfolio signals, human interactions, and execution outcomes to model the “why” behind every decision. It surfaces risks, trade-offs, and opportunities, ensuring every recommendation is explainable and contextually grounded.
- Encodes domain rules, heuristics, and organizational learning trained on your unique portfolio and operational data.
- Delivers the right context to humans and agents at inference time, across workflows, roles, and systems.
- Continuously synthesizes operational signals, interactions, and feedback loops to sharpen recommendations at scale.
Decision Context Graph
The Work-Plane with Tools for Everyone.
AI-powered apps enable leaders, teams, and stakeholders to analyze, strategize, plan, and deliver faster—with clarity and confidence.
- Operate across Strategy, Intake, Roadmap, Demand & Capacity, and PDLC Delivery—across roles and decision types.
- Embedded agents assist with recommendations, triggers, and workflow automation.
- Every action enriches portfolio context, sharpening AI guidance and accelerating smarter decisions.
Apps & Headless Access
Trusted by 6,000+ teams in large-scale product organizations
Agents 
power every layer of the Portfolio OS
power every layer of the Portfolio OS
Ambient or embedded, Dragonboat’s AI agents work behind the scenes or alongside executives, builders, and other agents to detect, reason, recommend, and act across the PDLC. Powered by live portfolio context and memory, with humans always in control of strategic decisions.
Ambient Agents
Ambient AgentsPowered by Portfolio Intelligence & Product Operating Context Graph — they run continuously in the background to surface risks, spot opportunities, and take proactive action, eliminating up to 80% of manual work. Invoked by users, other AI agents, or Dragonboat assistants to support faster, smarter decisions.
Meet your AI agents:
- AI Delivery Tracker: Detects delivery risks, dependency bottlenecks, scope creep, and delays before they impact roadmaps.
- AI Ops Reporter: Automatically summarizes and distributes stakeholder updates, eliminating repetitive manual work.
- AI Investment Monitor: Flags over- and under-invested initiatives to keep resources and budgets aligned.
- AI Strategic Advisor: Spots misalignment between initiatives and strategic priorities so teams can adjust proactively.
Embedded AI
Embedded AIYour on-demand experts delivering in-context recommendations, analysis, and outputs that require review or collaboration with users and stakeholders. Powered by the Product Operating Context Graph, they tackle complex or nuanced tasks, proposing actionable options so teams can review, adjust, and execute with confidence.
Meet your AI experts:
- Thematic Insight Analyzer: Detects patterns in customer feedback or usage data to guide prioritization.
- PRD Generator: Drafts product requirement documents for review and refinement.
- Scenario Planner: Creates roadmap sequences and optimized plans to evaluate trade-offs.
- Ripple Effect Assessor: Traces ripple effects of proposed changes across the strategic product portfolio.
AI Assistant
AI AssistantA portfolio-aware assistant that helps product managers, product ops, executives, and stakeholders get answers, take action, and explore product and portfolio data wherever they work. It invokes agents, triggers workflows, and even customizes the Dragonboat UI to fit how your team operates.
- Conversational and accessible: works in-app, Slack, Teams, Copilot, or via MCP.
- Action-oriented: answers questions or triggers actions, working seamlessly with ambient and embedded agents.
- Personalized interface: customizes Dragonboat pages and views to fit your workflow and preferences.
Built-in strategy, product, and portfolio Apps
Use Dragonboat’s purpose-built product portfolio apps, or access via integrated tools, APIs, or MCPs — all running on your portfolio ontology, powered by a shared source of truth of decision context and runtime intelligence.
Winning teams run products on Dragonboat AI OS
Drive product outcomes at scale with speed and clarity.
“We use Dragonboat extensively (to manage this product). With over 3,500 epics, launched in 9 months, from beginning to end. A monumental achievement.”
Rob Seidman
Chief Product Officer, POS Lending/ BNPL, U.S. Bank
“With Dragonboat, the biggest efficiency gain has been our say-do ratio. With repeat PI planning and clearer process, we hold ourselves to what we commit and if priorities shift mid-release, we can adjust based on real-time data. When we analyzed the first year, we unlocked roughly 2,000 story points — not from new headcount, but from the same pods getting better at estimation.”
Greg Shintani
Sr. Principal Program Manager, Product Strategy & Operations, Cornerstone
“Dragonboat gave us a source of truth across products, initiatives, programs, and multiple Jira instances ‒ replacing manual reporting with real‑time visibility. It was a visibility issue and complexity that Jira alone couldn’t solve, that Dragonboat helps us manage at scale.
Lucas Smith
Director, Agile & Program Services, Toyota Connected
Strategize, plan & deliver product outcomes with speed at scale across the PDLC
Faster Planning
Higher Resource Yield
Better On-target Delivery
Seamless integrations for product portfolio context orchestration
See what your portfolio looks like when it's intelligent
Most teams see value in days. No complex implementation required.
Frequently asked questions
What makes Dragonboat AI unique?
What is Dragonboat’s Product Operating Context Graph?
How does Dragonboat address coordination tax?