Powering the Agentic Product Enterprise
An active ontology-powered operating plane to orchestrate strategy, investments, and execution across the PDLC — where executives, teams, and AI agents reason, act, and adapt from the same shared context to drive outcomes with speed, clarity, and scale.
AI accelerates intent drift and context decay — compounding PDLC disconnect into escalating cost.
Existing approaches can’t keep up:
– Manual coordination fails to match speed — as reality changes faster than meetings, syncs, and decks.
– AI-inferred context fails to maintain clarity — as meaning is reconstructed, losing fidelity across hops.
– Pure semantic layers fail to achieve cohesion — as they can’t drive action or adaptation.
The agentic enterprise needs a new type of operating plane.
The Operating Plane for Your Agentic PDLC
Dragonboat turns operating reality into a living system, grounded in enterprise context.
Built on an active ontology foundation and encoded with domain expertise, ambient agents continuously monitor signals across your toolstack and update the context. Runtime intelligence, context, and memory power five apps with headless access for executives, teams, and AI agents to steer, evaluate, decide, and act on deterministic intent with full traceability.
Clarity — With a live semantic source of truth
Disparate data. One unified operating reality. Your ontology.
User- or agent-generated data and system signals across your product operating model — from customer calls and status meetings to discussions, docs, structured plans and roadmaps, and data across enterprise tools — are transformed, parsed, and updated into unified semantics, forming a live operating foundation of meaning, context, and memory.
Speed — Decide, Act and Adapt
Domain intelligence powered apps with headless access for humans and agents.
Execs, teams and agents reason, decide, act, and adapt through built-in apps — Strategy, Intake, Planner, Roadmap, and PDLC — or headless via APIs, MCP, agents, and integrated tools — with governance and traceability. Faster decisions and continuous adaptation from intent to outcomes.
Cohesion — Continuous eval against intent
Runtime intelligence with encoded logic. Surface consequences.
Ambient agents traverse the operating graph across every decision, action, and outcome — evaluating reality against intent, surfacing ripple effects, upstream and downstream impacts, and bidirectional consequences in real time, delivering thematic insights and predictive recommendations grounded in operating context, logic, and intent.
