Product overview

An SLA layer on top of the workflow your team already runs.

FastSLA connects to your existing issue system via webhook. No migration, no new board, no retraining. Just clear SLA tracking on top of how your team already works.

Your issue system stays. SLA intelligence gets added on top.

Most SLA tools require teams to manage work inside the SLA product itself. FastSLA takes the opposite approach: issue creation and work happen in Jira. Status changes, priority updates, and resolutions are streamed into FastSLA via webhook. FastSLA turns that movement into SLA data.

πŸ”’ GDPR by design. FastSLA is built to receive the minimum data necessary. We never ingest issue titles, body text, or free-text fields β€” only issue keys, statuses, priorities, and timestamps. Your sensitive content stays in Jira.

1️⃣
Issue events flow in via webhookEvery status change, priority update, or issue creation in Jira sends a webhook event to FastSLA.
2️⃣
Events are mapped to SLA meaningYour configured workflow rules determine what each status change means for SLA: start, pause, first response, or resolution.
3️⃣
SLA state is calculated in real timeElapsed time is computed using business hours, holiday calendars, and per-priority targets. Breach state is updated instantly.
Issue event flow
J
Jira β€” Status changed to "In Progress"
ENG-4821 Β· P1 Β· 09:14 UTC
POST β†’
FS
FastSLA β€” Event received & validated
Webhook secret βœ“ Β· Dedup check βœ“
πŸ—Ί
Workflow mapping applied
"In Progress" β†’ SLA clock starts
⏱
SLA calculated β€” business hours only
P1 response target: 1h Β· Elapsed: 14m
πŸ””
Alert scheduled at breach threshold
Notification at 80% of response time

Three views. One purpose: SLA clarity.

FastSLA is focused and fast to navigate. No bloat, no five-level menus. Three operational views that give you what you need.

πŸ“‹
Issues

A live, filterable list of all active incidents with response and resolution SLA state. Filter by project, priority, status, or breach state. Click any issue for a full event timeline showing every status transition and elapsed time.

πŸ“Š
Reports

Breach rates, average response and resolution times, grouped by priority and project. Filter by date range and policy version. Use policy replay to recalculate any period with a different policy β€” safely, before making it live.

βš™οΈ
Configuration

Manage projects, SLA policies, workflow rules, business hours, and holiday calendars. Each project can inherit tenant-level defaults or override them individually. Policy versions are tracked automatically.

SLA policies

Policies that actually understand how time works.

SLA clocks in FastSLA aren't just countdown timers. They understand the difference between calendar time and business time β€” and they respect your holidays.

βœ“
Business hours per weekday β€” configure open/close times for each day of the week
βœ“
Timezone aware β€” each policy operates in the configured timezone, respecting DST
βœ“
Country-level holiday calendars β€” public holidays automatically excluded from SLA time
βœ“
Pause & resume β€” map Jira statuses like "Pending customer" to pause the SLA clock
βœ“
Separate response and resolution tracking β€” different targets, different clocks
βœ“
Policy versioning β€” change policies without losing historical accuracy
Try it free β†’
Example SLA policy
Standard Support Policy
Business hours Β· Mon–Fri Β· CET / CEST
PriorityResponseResolution
P1Critical 1h 4h
P2High 4h 8h
P3Medium 1d 3d
P4Low 3d 7d
πŸ• Business hours: Mon–Fri, 09:00–18:00 CET
πŸ“… Holiday calendar: Denmark (DK) public holidays excluded
⏸ Pause status: "Pending customer", "On hold"

Test policy changes before they go live.

Changing an SLA policy is high-stakes. If you reduce response targets, will your current team meet them? If you extend business hours, how does that change historical breach rates?

FastSLA's policy replay answers these questions before you commit. Pick any historical period, select an alternative policy, and see a full recalculation β€” as if that policy had always been active.

βœ“ Evaluate tighter targets before renegotiating customer commitments
βœ“ Test extended business hours to see projected impact on breach rates
βœ“ Compare two policy versions side by side on the same data
βœ“ Zero risk β€” replay never affects live data or active SLA tracking
CURRENT POLICY β€” Last 90 days
P1 breach rate 18.4%
Avg P1 response 52 min
⬇ Replaying with P1 response target changed to 90 min
REPLAY RESULT β€” Same 90 days, new policy
P1 breach rate 3.1% ↓
Avg P1 response 52 min (unchanged)

Result: extending the P1 target by 30 minutes would reduce breach rate from 18% to 3% β€” safe to commit.

See how FastSLA works with your team's actual Jira setup.

Connect a project in minutes. No changes to Jira required. Cancel anytime.

14-day free trial Β· No credit card Β· EU data storage