Swiftask syncs your AI agents with Height to turn your backlog into structured sprint plans. Gain precision and speed in every cycle.
Result:
Reduce sprint planning time by 70% and eliminate prioritization errors.
AI Agents
height
Connector height · Secure OAuth 2.0
Sprint planning is often a tedious exercise: sorting through hundreds of tickets, evaluating load, reassigning tasks... Too much time is wasted on logistics instead of strategy.
Main negative impacts:
Disorganized backlog
Tasks pile up without a clear priority, making the selection for the next sprint opaque and difficult.
Team overload
Without an automated overview, it's easy to overload some team members while underutilizing others.
Loss of context
The transfer of information between product goals and Height tickets is often lost along the way.
Swiftask automates the sorting, categorization, and planning of your Height tickets. Your AI agents propose balanced sprints based on your real priorities.
BEFORE / AFTER
Traditional planning
The Product Manager spends hours manually filtering tickets in Height, evaluating complexity, and discussing team capacity, creating bottlenecks before the sprint even starts.
Swiftask augmented planning
The AI agent analyzes strategic priorities and historical velocity. It pre-populates your sprint in Height, suggesting an optimal task distribution. You just have to validate.
1
STEP 1 : Define your priority rules
Configure your AI agent in Swiftask with your success criteria (quarterly goals, criticality, dependencies).
2
STEP 2 : Connect your Height workspace
Integrate Height securely to allow the agent to read and write in your lists and sprints.
3
STEP 3 : Activate the planning engine
The agent analyzes your Height backlog and automatically generates a ready-to-use sprint proposal.
4
STEP 4 : Validate and iterate
Review the AI suggestions, adjust if necessary, and validate the sprint in one click.
The AI assesses ticket complexity, member availability, and alignment with the product roadmap.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-height@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Fair distribution of workloads thanks to objective data analysis.
Every selected ticket contributes directly to company goals.
Less manual preparation means less pressure before launching each sprint.
React faster to priority changes thanks to dynamic planning.
Velocity metrics based on hard facts, not rough estimates.
Swiftask applies enterprise-grade security standards for your height automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Sprint planning time | 4 hours/sprint | 30 minutes/sprint |
| Completion rate | Variable | 25% increase |
| Estimation accuracy | Low | AI-optimized |
| Planning errors | Frequent | Almost zero |
Reduce sprint planning time by 70% and eliminate prioritization errors.