Everything Your Team Needs
to Deliver with Confidence
InSprintAI is a complete sprint intelligence platform — from live Jira roadmaps and AI-powered risk detection, to natural language querying, commitment analytics, and military-grade data privacy.
Five Modules. One Unified Platform.
InSprintAI integrates seamlessly with your Jira workflow. No migration required — just connect and start getting insight within minutes.
Sprint Command Centre
The live operational pulse of your delivery
- Real-time Monitoring — Tracks active sprint progress directly from Jira
- KPI Strip — Velocity, Burn-up, Commitment Reliability, and Predictability at a glance
- Epic Execution Cards — Health and progress carousel for all epics in the current sprint
- Live Risk Scoring — Automated Healthy / Watch / At Risk labelling based on multi-metric analysis
Visual Roadmap (Gantt)
High-performance interactive timeline
- Dual-Panel View — Searchable epic list + scrollable Gantt timeline
- Sprint-Aware Timeline — Visualization against a rolling 1–8 week sprint window
- Interactive Editing — Click-to-edit dates, status, and priorities without affecting live Jira
- Dynamic Zoom — Scale from daily detail to multi-month overviews instantly
Sprint KPIs & Analytics
Deep historical performance analysis
- Multi-Board Analytics — Switch between any Jira boards to compare trends
- Forecast Engines — Linear regression–based predictions for next sprint velocity
- Historical Benchmarking — Compare active sprint against rolling average of prior sprints
- Quality Metrics — Defect injection, seepage, first-time pass rate, and more
Portfolio Overview
Strategic aggregation across projects
- Cross-Board Visibility — View epics from multiple Jira projects in one unified timeline
- Project Tracking — Aggregated health metrics and delivery status at project level
- Macro & Micro Zoom — Switch between sprint, month, and quarter views seamlessly
- Cross-Team Alignment — Spot bottlenecks across workstreams before they become blockers
Project Planner
Real-time collaborative planning & auto-scheduling
- Interactive Backlog & Capacity — Define roles, weekly points, and exact onboarding/offboarding dates
- Dynamic Auto-Scheduling — Auto-schedules stories onto a visual Gantt based on capacity
- Capacity Utilization Matrix — Sprint-by-sprint hourly allocation maps highlighting overallocation
- Multiplayer Shared Sessions — Live cursor broadcasting and synchronized collaborative workspace
Real-Time Collaborative Project Planner
Plan backlog, allocate capacity, auto-schedule timelines, map dependencies, and collaborate live with your team.
Interactive Backlog Management
- Create and manage Epics and Stories dynamically.
- Estimate Development and QA efforts separately (Story Points or hours).
- Set priorities and mark specific stories as QA-exempt or Testing-only.
Advanced Capacity Planning
- Define team resources, their roles (Developer/Tester), and their weekly capacity points.
- Set exact Onboarding and Offboarding dates for every team member.
- Configure sprint lengths and default fallback velocities.
Dynamic Auto-Scheduling Engine
- Automatically schedules stories onto a visual Gantt chart based on estimated effort and real-time daily availability of assigned resources.
- Dynamically handles hand-offs (e.g., if a developer offboards mid-story, the remaining developers automatically absorb the work).
Capacity Utilization Matrix
- A sprint-by-sprint breakdown showing exactly how much work is assigned to each person.
- Visually highlights overallocated resources in red.
- Proportionally apportion effort based on the exact days a resource is active during a sprint.
Dependency & Risk Management
- Link stories together to define blockers. The scheduling engine automatically forces blocked stories to start after their dependencies finish.
- Visual dependency lines drawn directly on the timeline.
- Automated timeline warnings if a story fundamentally cannot be completed because the assigned team offboards before finishing.
Milestones & Timeline Controls
- Drop custom Milestones (e.g., "Code Freeze", "Go Live") onto the timeline.
- Adjust the "Focus Factor" to globally scale all estimated times (e.g., setting it to 80% to account for meetings/overhead).
- Export the fully rendered timeline to a PDF for stakeholder sharing.
Real-time Multiplayer Collaboration
Live cursor broadcasting lets you see exactly where your teammates are actively planning on the board. Work together simultaneously with zero conflict, keeping your backlog dates, capacity calculations, and dependency maps perfectly synced.
AI That Speaks Your Team's Language
Built on deterministic, local-first AI models. No hallucinations. No data sent to the cloud. Just accurate, actionable intelligence derived from your real Jira data.
Command Centre Copilot
Generates automated leadership narrative summaries — executive report, 'what went well', 'what's at risk', and 'what needs escalation' — in seconds.
Natural Language Query Engine
Ask plain English questions about your delivery data. Intent recognition, a custom DSL, and context awareness combine to answer complex sprint questions instantly.
Delivery Intelligence Score
A composite 0–100 metric combining velocity stability, reliability, and quality — the 'FICO score' of software delivery, plus a Chaos Score measuring execution volatility.
Auto-Insights Engine
Deterministic pattern recognition across sprints. Flags sudden velocity drops, scope churn spikes, and categorises delivery signals as Positive (strength) or Negative (risk).
Jira as Source of Truth. Without the Jira Headache.
InSprintAI wraps your existing Jira workflow with a local sandbox layer — giving you full planning freedom without ever risking live board data.
Bidirectional Sync
Pull data from Jira to create a local sandbox. No accidental overwrites. No email notifications sent to your team.
All edits (date changes, priority shifts, re-sequencing) are held in a local staging area until you deliberately commit them.
Push local changes back to Jira issue-by-issue or field-by-field. Full diff view before anything syncs.
Advanced Field Mapping
Map any custom Jira field (e.g. customfield_10014) to standard product fields like Start Date, ETA, or Story Points.
Compute epic completion based on Issue Count or Story Point sums — configurable per project.
Define which issue types (Stories, Tasks, Bugs) contribute to progress calculation for each epic.
Local Changes Manager
Review every field edit before syncing. Resolve conflicts with a diff-view manager that shows exactly what changed.
Data Quality Console
Identify missing fields, stale dates, and incomplete epics across your board. Configurable field quality rules.
Bulk Operations
Import external plans via CSV to upsert epics and update dates in bulk. Export roadmap snapshots as portable JSON.
Sprint Simulation
Monte Carlo simulation with 5,000+ probabilistic outcomes to forecast sprint success based on historical velocity distribution.
Your Jira Data Never Leaves Your Device
InSprintAI is built on a zero-knowledge architecture. Sensitive Jira data is encrypted client-side before it's ever written to storage — and it never touches our servers.
Encrypted Local Vault
All Jira-derived data (epics, board names, summaries) is encrypted using AES-256-GCM before being written to your browser's IndexedDB.
The encryption key is derived from a Split-Key Architecture: your Master Keyword (known only to you, never stored) combined with a Device Secret (unique per device).
Your Jira credentials (Email, API Token) are stored only in this local encrypted vault. They are never transmitted to any InSprintAI server.
Firebase Identity Layer
Firebase is used strictly for authentication — Sign-in and Sign-up — and basic marketing profiles (Name, Email).
The privacy barrier is absolute: No Jira data, no API tokens, and no project metadata are ever sent to Firebase.
This separation is enforced at the architectural level, not just by policy — there is no code path that can route Jira data to Firebase.
Data Boundary Matrix
| Data Type | Classification | Persistence | Security |
|---|---|---|---|
| User Identity (Email, Name) | Authentication | Firebase Cloud | Standard Firebase Auth |
| Jira Credentials (API Token) | Sensitive Secret | Local Vault Only | AES-256-GCM Encrypted |
| Jira Content (Epics, Stories) | Project Data | Local Vault Only | AES-256-GCM Encrypted |
| Master Keyword | Encryption Key | Never Stored | In-memory only (unlocked) |
| AI Query History | Usage Data | Local Storage | Encrypted (if in vault) |
Built for Delivery Teams. Loved by Stakeholders.
A premium dark-mode interface with micro-animations, RAG status coloring, and an ultra-responsive SVG timeline — all optimized for power users.
Zero-Latency Interaction
Local-first engine handles all heavy computation in your browser. Zoom, filter, and edit without waiting for network round-trips.
Dynamic Theming
Professional Dark Mode and high-contrast Light Mode. Theme preference persists per user session automatically.
SVG Timeline Engine
Ultra-responsive Gantt built with optimized SVG rendering for smooth panning across hundreds of epics with zero lag.
RAG Indicators
Red-Amber-Green visual coloring applied across ETAs, epic status, KPI strips, and milestone callouts for instant risk recognition.
Sprint Simulation Engine
Runs 5,000+ Monte Carlo simulations to probabilistically forecast sprint success based on your team's historical velocity distribution. Identifies exactly how many points must be de-scoped to reach an 80% confidence level. Includes deterministic outcome logic and full Risk Diagnostic reporting.
Ready to ship with confidence?
Connect your Jira instance and get your first sprint intelligence report in under 5 minutes. No credit card required.