Renewal Intelligence

Know which contracts will churn
90 days before the deadline.

SLAIQ's AI renewal engine scores every contract for churn risk, tracks notice deadlines, identifies upsell opportunities, and sends escalating alerts — so your team always acts with enough time to win the renewal.

47%
Reduction in renewal churn for SLAIQ customers
6 factors
AI scoring model weighs SLA, margin, tier, penalty history
90 days
Average advance notice before renewal risk identified
€897k
Average ARR in renewal pipeline tracked per SLAIQ customer

Renewals should be proactive. They're almost always reactive.

A contract expires in 45 days. Nobody noticed the 90-day notice clause was three weeks ago. The account manager starts a rushed proposal. The customer has already been talking to a competitor for two months. This is how service businesses lose millions in ARR — not through bad service, but through broken visibility.

73%

of service contracts that churn had a renewal probability below 60% — six months before expiry

31 days

average lead time organisations have when they start renewal conversations — far too late to renegotiate effectively

€1.4M

average ARR lost annually to preventable churn in mid-market service operations businesses

The 6-factor renewal probability model

SLAIQ's model is built from service operations data — not generic CRM scoring. Each factor is weighted based on empirical churn correlation.

30%
weight

SLA compliance history

Customers with poor SLA performance churn 3.4× more often

20%
weight

Penalty incidents triggered

Each penalty incident reduces renewal probability by 12%

20%
weight

Contract gross margin

Low-margin contracts are more likely to face pricing disputes

15%
weight

Support tier & ARR

PLATINUM customers renew at 96% — BRONZE at 68%

10%
weight

Days to renewal deadline

Risk accelerates nonlinearly inside 60 days

5%
weight

Contract value trend

Contracts growing YoY renew at 2.1× the rate of flat/declining

The complete renewal intelligence suite

AI renewal probability scoring

Every contract gets a renewal probability score (0–100%) updated weekly. 6-factor weighted model trained on service operations renewal data. Accounts below 70% automatically flagged.

30 / 60 / 90 / 180 day pipeline

See your entire renewal pipeline segmented by urgency. Total ARR at risk. Weighted expected value. Notice deadlines. All in one view your leadership team can act on.

Upsell opportunity detection

SLAIQ identifies accounts with expansion potential — high satisfaction scores, growing ticket volume, premium tier candidates. Median upsell identified: 22% ARR increase.

Automated renewal reminders

Configure escalating reminders — 90 days (account manager), 60 days (CSM), 30 days (VP). Email, Slack, Teams. Never miss a notice deadline again.

Quarterly ARR forecast

Weighted renewal forecast by quarter. Scenario modelling — optimistic, base, pessimistic. Board-ready charts with one click export.

Churn risk segmentation

Group accounts by churn risk: Critical (< 50% probability), Watch List (50–70%), On Track (> 70%). Prioritise where your account team spends their time.

The SLAIQ renewal playbook

Automated, configurable, running for every contract in your portfolio without your team lifting a finger.

180 days

SLAIQ identifies renewal probability score. Upsell analysis generated.

90 days

Account manager receives renewal brief. Churn risk score updated. Proposal template suggested.

60 days

CSM escalation. Contract review meeting scheduled. Pricing model for renewal generated.

30 days

VP alert. Notice deadline check. If auto-renew: confirm terms. If renegotiating: final push.

Notice deadline

Automated compliance check. Written notice confirmation logged. Audit trail created.

"SLAIQ flagged 11 accounts as high churn risk in Q2. Our CSM team contacted all 11. We retained 9 of them. That's €2.3M ARR we would have lost. The AI model is eerily accurate."

Anna Riedl

Head of Account Management · Siemens Smart Infrastructure Services

Stop discovering problems in the rearview mirror

Join hundreds of enterprise service teams who turned contract chaos into operational clarity.

Avg onboarding time: 12 minutes · Typical ROI: 6–8× in year one