AI Features Overview
Welcome to SyncNow AI
SyncNow Release 6.0 introduces AI Agents for Work Systems - powerful AI assistants that let you interact with your work systems using natural language instead of complex UIs and queries.
AI Agents transform how you work with Jira, Azure DevOps, ServiceNow, and more. No JQL. No complex filters. Just ask!
Ask questions. Get answers. Get work done.
Image placeholder: Hero image showing AI agents in action across multiple platforms
What Can AI Agents Do?
🤖 Query Work Systems Naturally
❌ The Old Way
1. Open Jira
2. Navigate to Filters
3. Write JQL:
project = BACKEND AND
priority IN (P0, P1) AND
assignee IN (teamMembers)
4. Export to CSV
5. Open Azure DevOps
6. Build complex query
7. Export results
8. Manually combine in Excel
9. Create pivot tables
10. Share screenshot
⏱️ Time: 15+ minutes
😓 Difficulty: Requires JQL/WIQL expertise
🔄 Reusable: No, must repeat each time
✅ With AI Agents
"Show me all critical bugs from
Jira and Azure DevOps assigned
to the backend team"
⏱️ Time: 5 seconds
😊 Difficulty: Just ask naturally
🔄 Reusable: Save as favorite query
Plus:
- ✅ Automatic deduplication
- ✅ Unified format
- ✅ Real-time data
- ✅ Share via link
- ✅ Export any format
Image placeholder: Side-by-side comparison showing old workflow vs. AI agent workflow
📊 Get Instant Analytics
Instead of manual calculations and dashboards:
"What's our team velocity over the last 6 sprints?"
"Average time in status for completed user stories"
"Show me the burndown for current sprint"
Get instant answers with context.
⚙️ Manage SyncNow Through Conversation
Instead of navigating through admin panels:
"Show sync process status"
"What errors occurred today?"
"Create a mapping between Jira and Azure DevOps"
Manage SyncNow configuration and operations via chat.
🎯 Build Custom Agents
Create domain-specific agents for your workflows:
Sprint Planning Assistant
Release Manager Bot
Support Triage Agent
Compliance Checker
DevOps Health Monitor
Available AI Agents
SyncNow includes two production-ready AI agents.
🌐 Work System AI Agents
Query and analyze work systems using natural language
What it does:
- ✅ Query Jira, Azure DevOps, ServiceNow, GitHub, GitLab
- ✅ Cross-system aggregations and analytics
- ✅ Unified search and reporting
- ✅ Time-based metrics (velocity, cycle time, burndown)
Use it for:
- Finding work items across systems
- Analyzing team performance
- Generating reports
- Cross-system queries
Example:
"Show all P0 bugs from last week"
⚙️ SyncNow Execution Agent
Manage SyncNow operations through natural language
What it does:
- ✅ Monitor sync process status
- ✅ View errors and diagnostics
- ✅ Control sync processes (start/stop/pause)
- ✅ Configure mappings and connectors
Use it for:
- Daily health checks
- Investigating sync failures
- Quick configuration changes
- Mobile management via chat
Example:
"Show sync process status"
Agent Comparison Matrix
| Feature | Work System AI | Execution Agent |
|---|---|---|
| Primary Use | Query work systems | Manage SyncNow |
| Target Users | All users | Admins/Operators |
| Complexity | 🟢 Simple | 🟡 Moderate |
| Setup Time | ⚡ Instant | ⚡ Instant |
| Best For | Daily queries | Admin tasks |
Image placeholder: Architecture diagram showing how the three agents work together
2. SyncNow Execution Agent ⚙️
Manage SyncNow operations through natural language
What it does:
- Monitor sync process status
- View errors and diagnostics
- Control sync processes (start/stop/pause)
- Configure mappings and connectors
- Troubleshoot sync issues
Use it for:
- Daily health checks
- Investigating sync failures
- Quick configuration changes
- Mobile management via chat
How AI Agents Work
Simple 4-step process:
- You ask in plain English (or your language)
- Agent understands your intent
- Agent queries connected systems
- You get a formatted answer
Where Can You Use AI Agents?
AI Agents are accessible via the Model Context Protocol (MCP), enabling integration with any MCP-compatible LLM platform or custom application.
API & MCP Protocol Integration
Model Context Protocol (MCP):
# Connect Claude Desktop, custom apps
http://your-syncnow.com:8765/mcp/v1
REST API:
POST /api/ai-agents/query
{
"agent": "work-system",
"query": "Show P0 bugs",
"format": "json"
}
Features:
- ✅ MCP protocol support
- ✅ RESTful API
- ✅ Authentication (API keys, OAuth)
- ✅ Comprehensive docs
Integration Examples:
- Claude Desktop
- Custom chatbots
- Python/Node.js apps
- CI/CD pipelines
Getting Started
Quick Start (5 Minutes)
1. Enable AI Features
Settings → AI Features → Enable AI Agents
2. Configure Work Systems
Already have connectors configured?
✅ AI Agents can use them immediately
Need to set up connectors?
→ See Connector Documentation
3. Start Asking Questions
Web UI → AI Chat
or
Slack → @SyncNow [your question]
4. Try Sample Queries
"Show me all bugs assigned to me"
"What's our team velocity?"
"List sync errors from today"
That's it! 🎉
Common Use Cases
For Development Teams
Sprint Planning:
"What's our average velocity?"
"Suggest stories for next sprint based on capacity"
"Show incomplete work in current sprint"
Bug Triage:
"All critical bugs created this week"
"Bugs not updated in 7 days"
"P0 bugs by component"
Release Management:
"Status of Release 6.0"
"Incomplete user stories for v6.0"
"Generate release notes"
For Support Teams
Incident Management:
"Show all P0 incidents"
"Incidents exceeding SLA"
"Route INC-123 to correct team"
Trend Analysis:
"Incident volume trend last 30 days"
"Most common incident categories"
"Average resolution time by priority"
For Project Managers
Status Reporting:
"Project status across all systems"
"Work completed vs. planned this month"
"Blockers and dependencies"
Team Performance:
"Team velocity trend over 6 months"
"Cycle time by work item type"
"Completed story points by team member"
For Administrators
SyncNow Management:
"Show all sync process status"
"Errors in the last 24 hours"
"Test connection for Jira connector"
Configuration:
"List all mappings"
"Show field mappings for Bug sync"
"What connectors are enabled?"
Example Queries
Work System Queries
# Basic queries
"Show me all bugs assigned to me"
"List user stories in current sprint"
"Find work items created yesterday"
# Cross-system queries
"Show critical issues from Jira and Azure DevOps"
"Find all items assigned to Dave across systems"
"Duplicate issues between Jira and ServiceNow"
# Analytics
"Average time in status for user stories"
"Team velocity last 6 sprints"
"Burndown for current sprint"
# Complex filters
"Bugs assigned to backend team, P0 or P1, not updated in 14 days"
"User stories in Done without linked test cases"
"Incidents created by VIP customers this week"
SyncNow Operations
# Monitoring
"Show sync process status"
"What errors occurred today?"
"Sync history for last week"
# Configuration
"Show all mappings"
"List field mappings for Jira Bug → Azure Bug"
"What connectors are configured?"
# Control
"Start the billing sync process"
"Pause the Azure DevOps sync"
"Retry failed items from last hour"
# Troubleshooting
"Why did sync fail for JIRA-123?"
"Diagnose slow sync performance"
"Show error details for last failed sync"
Security & Permissions
Multi-Layer Security Model
Layer 1: User → AI Agent
- Role-based access control
- Who can use which agents?
- Audit logging of all queries
Layer 2: AI Agent → Work System
- Agents inherit SyncNow connector permissions
- Only query systems you have access to
- Field-level security enforced
Layer 3: Data Filtering
- You only see data you have permission to view
- Work system permissions respected
- Custom filtering rules supported
Compliance & Audit
All AI agent interactions are logged:
- Who asked what question
- Which systems were queried
- What data was returned
- When it happened
Performance & Scalability
Response Times
Typical query performance:
- Simple query (single system): < 1 second
- Cross-system query (2-3 systems): 1-3 seconds
- Complex aggregation: 2-5 seconds
Caching & Optimization
Intelligent caching:
- Static data (users, projects) cached
- Recent queries cached (5-min TTL)
- Automatic cache invalidation
Query optimization:
- Parallel system queries
- Result streaming for large datasets
- Automatic pagination
What's Different from Traditional Tools?
vs. Manual Queries
| Traditional | AI Agents |
|---|---|
| Learn JQL/query syntax | Ask in natural language |
| Navigate multiple UIs | One conversational interface |
| Manual result aggregation | Automatic cross-system aggregation |
| Static dashboards | Dynamic, ad-hoc queries |
| Desktop-only | Available in chat platforms |
vs. Reporting Tools
| Reporting Tools | AI Agents |
|---|---|
| Pre-built reports | Ad-hoc queries on demand |
| Schedule-based | Instant, real-time |
| Fixed visualizations | Context-aware formatting |
| Single system | Multi-system out of the box |
| Limited customization | Fully conversational |
vs. ChatGPT/Generic AI
| Generic AI | SyncNow AI Agents |
|---|---|
| No work system access | Direct access to Jira, Azure, etc. |
| No company context | Trained on your data & processes |
| Public cloud only | Runs in your environment |
| Generic answers | Specific, actionable results |
| No permissions | Respects work system permissions |
Roadmap & Upcoming Features
Coming Soon
Rich Media Chat Window (Q2 2026)
- Inline charts and visualizations
- Interactive data tables
- Code syntax highlighting
- Embedded images and diagrams
Voice Integration (Q3 2026)
- Voice queries via phone/smart speakers
- Text-to-speech responses
- Hands-free operation
Predictive Analytics (Q3 2026)
- Forecast sprint completion
- Predict SLA breaches
- Anomaly detection
- Proactive alerts
More Connectors (Ongoing)
- Asana, Monday.com, Linear, Shortcut
- Custom API connector builder
- Database connectors (SQL, MongoDB)
FAQ
Q: Do I need to learn a special query syntax?
A: No! Just ask in natural language. The AI understands intent.
Q: What languages are supported?
A: Currently English. More languages coming soon.
Q: Can AI agents create or modify work items?
A: Work System AI Agents are read-only by default.
Q: Where is my data processed?
A: All processing happens within your SyncNow instance. Data doesn't leave your environment.
Q: Can I use AI agents on mobile?
A: Yes! Via chat platforms (Slack mobile app, Teams mobile, etc.) or web interface.
Q: How much does it cost?
A: AI Features are included in SyncNow Enterprise licenses. Contact sales for details.
Q: What if the agent doesn't understand my question?
A: The agent will ask clarifying questions or suggest similar queries. You can also rephrase.
Learn More
Documentation
- Work System AI Agents - Query work systems
- SyncNow Execution Agent - Manage SyncNow
- Getting Started Guide - 5-minute setup
- Security & Permissions - Access control
Resources
- Video Tutorials - Watch how it works (coming soon)
- API Reference - Developer docs
- Community Forum - Ask questions, share tips
- Release Notes - What's new in Release 6.0
Support
Need help?
- Documentation: docs.syncnow.io
- Email: support@syncnow.io
- Community: community.syncnow.io
Found a bug or have feedback?
- Submit feedback via the AI chat interface
- Contact your SyncNow administrator
- Email: product@syncnow.io
Ready to get started?
👉 Quick Start Guide - Set up AI Agents in 5 minutes
SyncNow Release 6.0 - AI Agents for Work Systems