KB Sentinel for Jira Service Management

Continuous KB quality control for self-service teams.

KB Sentinel is built for Jira Service Management and Confluence teams that need better AI answers, stronger self-service, and fewer preventable escalations. It detects drift, contradictions, duplication, missing coverage, and weak structure, then ranks what to fix first by support impact.

This launch package is designed for Marketplace review and early pilots. Legal and privacy materials that require counsel review are intentionally labeled draft and final-review-needed.
What buyers get

Built to fix the knowledge defects that hurt support performance.

The product is not a generic doc assistant. It is a continuous QA layer for service knowledge that helps teams improve AI answers, self-service outcomes, and escalation behavior.

Defect detection

Catch knowledge drift early

Surface contradictions, missing coverage, duplication, and weak structure before those defects compound in AI answers and support macros.

Prioritization

Rank by support impact

Focus teams on the fixes that move deflection, first-response quality, and escalation reduction instead of editing by article age alone.

Repair loop

Draft repairs with evidence

Show teams a repair draft, supporting evidence, and the decision logic behind the recommendation without replacing human review.

Regression control

Test the high-value questions

Keep the top support intents honest with regression questions that reflect the real request patterns the desk sees every week.

Better AI answers

Improve answer quality by tightening the knowledge base behind retrieval and self-service flows.

Fewer bad escalations

Fix the unclear or contradictory articles that cause agents and requesters to route work the wrong way.

Measurable knowledge health

Give operations teams a continuous score, prioritized findings, and a clear before-and-after pilot story.

Pilot packs

Three launch lanes that make value obvious fast.

Each pack is designed to help a buyer see the outcome quickly: fewer escalations, better answers, and a tighter set of canonical articles for one service lane.

IT service desk

Identity, access, and reset flow

Use KB Sentinel to clean up MFA resets, temporary admin access, VPN expectations, and passwordless recovery guidance.

  • Buyer story: reduce avoidable escalations on high-volume support intents.
  • Proof point: one canonical answer path for identity and access requests.
  • Starter questions: temporary admin access, MFA timing, after-hours VPN help.
People ops and HR help

Employee request quality control

Keep onboarding, leave, payroll, and policy guidance aligned so employee requests stop bouncing between HR, IT, and managers.

  • Buyer story: fewer reopened employee requests and cleaner first-response resolution.
  • Proof point: fewer contradictions across leave, onboarding, and payroll articles.
  • Starter questions: laptop shipping, parental leave changes, payroll corrections.
Workplace and facilities

Office operations answer quality

Use repeatable QA to keep badge access, visitor, AV support, and workplace request articles aligned with actual operations.

  • Buyer story: higher deflection on office access and on-site support questions.
  • Proof point: a reliable answer set for badge access and visitor exceptions.
  • Starter questions: contractor badge access, same-day visitors, AV escalation rules.
Product preview

Reviewer-ready screenshots from the current app.

These images are the first listing asset set: they show the core dashboard, repair workbench, regression-suite view, and scan operations.

Trust center

Built for reviewer confidence and buyer diligence.

The operational pages below are ready for draft Marketplace review and can move onto the company domain cleanly. Legal-sensitive documents stay clearly labeled until final review is complete.

Support

Launch operating hours, severity targets, and what buyers should send with a support request.

Security

Security contact, disclosure expectations, architecture summary, and current subprocessor posture.

Privacy

Draft privacy notice covering data categories, model egress, retention, and customer request routing.

Terms

Draft launch terms that define service scope and support boundaries while awaiting final counsel review.

Subprocessors

Minimal launch footprint with Atlassian Forge hosting and optional OpenAI repair drafting.

Northwatch Software is independent of Atlassian. Atlassian, Jira, Jira Service Management, and Confluence are trademarks of Atlassian. Final legal review is still required for customer terms, privacy roles, and regional addenda before public launch.