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Direction · Planning · Execution

Decide. The plan calculates itself. Teams and AI deliver together.
You sign off every phase.

Most platforms cover one layer and hand you the translation work. Taskstreamer runs the full distance on a single engine. Boardroom decision to delivered outcome. Real-time what-ifs. Self-updating roadmaps. AI delivery under human governance.

Direction
Set strategy.
Explore what-ifs.
Define OKR or OGSM and track progress. Leadership has overview, insight and means to intervene. See what-ifs in clicks, not weeks.
Planning
Roadmaps that
update themselves.
Aggregated feature plans. Dependencies cascade. Capacity rebalances. The plan always stays up-to-date without weeks of work.
Execution
AI delivers.
You govern.
Conductor runs your delivery playbook with human signoff at every phase. From approved feature to delivered work, whatever the domain.
One engine · all three layers, same math.
The full span

Three layers. One engine underneath.

Most tools give you one layer and make you translate the rest. That's where decisions die and plans become fiction. Taskstreamer runs the whole span on one engine. Deterministic math drives the planning. Phase-gated AI drives delivery. The two never get confused.

01 Direction

Strategy you can actually steer

Set direction at the top. Watch progress from the executive view. Not a Jira dashboard.

  • What-if scenarios that recalculate in real time
  • Shift priorities, add capacity, model budget cuts
  • Clarity for the conversations that actually matter
02 Planning

Roadmaps update automatically

Aggregated feature plans that keep moving even when you don't touch them. The plan matches reality.

  • Dependencies cascade automatically, in seconds
  • Native Jira plugin. Teams work where they already work
  • Sprints pass, estimates update, the roadmap follows
03 Execution

AI delivery. Under your rules

Conductor runs the delivery playbook you define. Human signoff at every phase. Teams always hold the levers.

  • Skills-based agents (no matter which AI model you use) chained into phase-by-phase workflows
  • Governance gates, complete audit trail, nothing autonomous
  • From approved feature to delivered outcome, on the same engine
> interrogate → context → plan ✓
> execute phase [human signoff] ✓
> validate → release ✓
The maturity ladder

Where AI helps. Where humans own.

Six maturity tiers across Direction, Planning, and Execution. Humans own Direction and Planning at every tier, with AI assistance. Execution uses Conductor to govern AI from L3 onward.

L0Absent
L1Curious
L2Adopting
L3Integrated
L4Native
L5Autonomous
01
Direction
Strategy
OKR, OGSM, Themes, Epics, What-if scenarios
Human
Human
Human
Human
Human
+ AI assists
Human
+ AI suggests
02
Planning
Blueprint
Initiatives Roadmap, Features, Calculated plan
Human
Human
Human
+ AI assists
Human
+ AI assists
Human
+ AI suggests
Human
+ AI suggests
03
Execution
Jira plugin / Conductor
Sprints, Stories & Threads, Delivery
Human delivers via Jira
Human
+ AI autocomplete
Human
+ AI drafts
AI executes
human checks
Agents own
human on exceptions
Autonomous AI
SQI-governed
Productivity
1×
1.2 to 1.4×
1.5 to 2.5×
2 to 4×
4 to 8×
10 to 50×
↔ Swipe to explore the matrix
Execution threshold between L2 and L3, AI moves to 100% of delivery

Humans own Direction and Planning at every tier. Conductor enables AI Execution from L3, with humans governing through phase signoff and policy.

AI assists across all three layers from L2 onward. Ownership of strategy and planning never transfers, by design.

Enterprise-grade security by design

Security engineered into every layer. Not bolted on.

Triple-layer tenant isolation
Zero trust architecture
Complete audit trail
AES-256 encryption

See your strategy make it to production.

Thirty-minute demo. Your roadmap. Your scenarios. Your governance model. Bring your toughest dependency chain.