Comparison
TKTIDE vs. Atlassian Intelligence
Atlassian Intelligence is AI inside Jira and Confluence. TKTIDE is AI across Jira AND GitHub AND HiBob and more. Different scope, different answer.
At a glance
The short version. Five lines.
TKTIDE
Atlassian Intelligence
Core positioning
Agentic AI platform with one agent per connected tool, reasoning together across your whole stack
AI features layered into Atlassian products (Jira, Confluence, JSM)
Scope
Cross-tool: Jira, GitHub, GitLab, Azure DevOps, Monday, HiBob, Notion and more
Atlassian-only: Jira, Confluence, Jira Service Management
Architecture
Per-tool agents + orchestrator that synthesizes across them
AI features (summaries, smart fields, NL search) inside each Atlassian app
Privacy posture
Metric-only storage. Raw tickets wiped 6 PM. Optional self-hosted LLM (Ollama).
Standard Atlassian cloud retention. Data stays in the Atlassian boundary.
Best for
Multi-tool teams that want one synthesized answer across Jira AND non-Atlassian tools.
Atlassian-only teams that want AI inside the apps they already use.
Full feature matrix
Every feature, sourced. No fine print.
AI capabilities
Feature
TKTIDE
Atlassian Intelligence
Note
Summarize a Jira ticket / Confluence page
Atlassian Intelligence is great at this. We don't try to.
Smart fields (auto-populate priority, components, etc.)
Natural-language Jira / Confluence search
Partial
Cross-tool agent reasoning (Jira + GitHub + HiBob in one answer)
Insight chat that answers from derived metrics across tools
Tools supported
Feature
TKTIDE
Atlassian Intelligence
Note
Jira
Confluence
Jira Service Management
Partial
GitHub
GitLab
Azure DevOps
Monday.com
HiBob (capacity + tenure)
Planning + risk
Feature
TKTIDE
Atlassian Intelligence
Note
0-100 sprint risk score with webhook on red
100-point per-developer task allocation with reason chain
3-phase sprint calibration (velocity + tenure + component)
Cross-tool duplicate detection
Data posture
Feature
TKTIDE
Atlassian Intelligence
Note
Metric-only storage (no ticket bodies persisted)
Optional self-hosted LLM (Ollama)
Stays inside Atlassian's data boundary
If your security policy requires data to never leave Atlassian, AI is the right tool.
Comparison current as of April 2026. Sourced from Atlassian Intelligence public documentation. If we've missed or misrepresented a feature, email info@tktide.com and we'll update.
Which one fits you
Pick the one that solves your actual problem.
Choose TKTIDE when
- Your stack is more than Atlassian - tickets in Jira, code in GitHub, capacity in HiBob - and you need one answer across all of them.
- You want AI agents that reason across tools, not just summarize a single ticket.
- You want sprint risk and capacity recommendations calibrated on real velocity from your dev tools, not just Jira ticket counts.
- You want the option of a self-hosted LLM for sensitive workloads.
Choose Atlassian Intelligence when
- Your team is fully on Atlassian - Jira, Confluence, JSM - and doesn't have meaningful work outside that boundary.
- Your primary AI need is in-ticket summaries, smart fields and natural-language Jira search.
- Your security policy requires data to stay inside Atlassian's data boundary.
We list these so you have the full picture. An honest comparison builds more trust than a one-sided pitch.
Common questions
Short answers. No dodges.
Ready to see TKTIDE on your stack?
We'll show you TKTIDE running on your actual Jira, GitHub and Atlassian Intelligence data. 20 minutes. Your real workflow.