Insurance for Missed Deadlines in Software Projects: What It Covers, What It Doesn’t, and How UK Firms Can Protect Themselves
Missed deadlines are one of the most common (and costly) risks in software delivery. A launch slips, a client’s g…
Service Level Agreements (SLAs) and “99.9% uptime” guarantees sound reassuring. They’re often used to justify vendor choices, calm internal stakeholders, and tick procurement boxes.
But here’s the uncomfortable truth: SLAs don’t prevent outages. They don’t stop cyber incidents. And they rarely cover the real cost of downtime.
If your business relies on cloud software, payment systems, hosted phone lines, IT support, logistics platforms, or any third-party technology, an SLA is only one small part of risk management. In this guide, we’ll break down what SLAs actually do, where they fall short, and how to protect your business when (not if) something goes wrong.
An SLA is a contract clause that sets a minimum performance standard for a service. Most commonly it covers:
Service availability (uptime percentage)
Support response times (e.g., “P1 incidents responded to within 1 hour”)
Resolution targets (sometimes)
Maintenance windows and exclusions
Service credits or refunds if targets aren’t met
An “uptime guarantee” is typically a headline metric like 99.5%, 99.9%, 99.95% or 99.99% availability over a month.
The first risk is psychological: these numbers feel like certainty. They’re not.
Uptime percentages translate into real downtime. Roughly:
99.9% uptime allows ~43 minutes downtime per month
99.5% uptime allows ~3 hours 36 minutes downtime per month
99.99% uptime allows ~4 minutes downtime per month
Those are averages. You might get a full month with no issues, then a single incident knocks you offline for hours.
And crucially: many SLAs measure uptime in ways that don’t match your real-world experience.
Most SLAs define “unavailable” very narrowly. The service might be technically “up” while still being unusable for your team.
Common examples:
The login page loads but users can’t authenticate
The dashboard loads but reports time out
The API responds but with errors or severe latency
Only one region is affected (and you happen to be in it)
Only certain features are down (but they’re the features you need to operate)
If the vendor can argue the service was “available” according to their monitoring, you may not qualify for any remedy.
A system that takes 30 seconds to load a page isn’t “down” on paper. In practice, it can cripple productivity, increase errors, and cause customer churn.
Many SLAs either exclude latency entirely or set thresholds that are far too generous.
Even when a service is genuinely down, the SLA may not apply. Typical exclusions include:
Scheduled maintenance
Emergency maintenance
Force majeure events
Internet or telecoms issues outside the vendor’s control
Misconfiguration by the customer
Third-party dependencies (e.g., upstream cloud provider)
Security incidents, DDoS attacks, or “malicious activity”
This is where businesses get caught: the event that causes the biggest operational disruption is often the very event the SLA excludes.
Most SLAs don’t pay cash compensation. They offer service credits.
For example, if uptime drops below a threshold, you might receive:
5% of your monthly fee
10% of your monthly fee
25% of your monthly fee (for severe breaches)
That sounds fair until you compare it to the true cost of downtime.
Downtime costs aren’t just “lost sales.” They include:
Staff idle time (and overtime to catch up)
Missed deadlines and contractual penalties
Customer churn and reputational damage
Increased support volume and complaint handling
Manual workarounds (and the errors they create)
Data recovery and remediation costs
Regulatory exposure (GDPR, FCA, PCI DSS, etc.)
If your business loses £20,000 in a day due to a platform outage, a 10% service credit on a £300/month subscription is effectively meaningless.
Many SLAs require you to submit a claim within a short window (sometimes 7–30 days). They may also require:
Detailed incident logs
Proof of impact
Evidence that you followed the vendor’s escalation process
Confirmation that your own systems were functioning
If you don’t claim correctly, you get nothing.
And if the vendor’s monitoring says uptime was within target, you’re likely to lose the dispute.
Your users can be locked out, or your transactions can fail, while the vendor’s status page shows “All systems operational.”
That’s why independent monitoring is essential (we’ll cover this later).
A vendor can hit an uptime target and still be a poor operational risk.
Resilience is about how a service behaves under stress:
How quickly it detects incidents
How quickly it fails over
Whether it degrades gracefully
How quickly it restores full performance
Whether it communicates clearly during incidents
A service that suffers frequent “brownouts” (partial failures) may still meet an SLA while causing constant disruption.
Many businesses assume “cloud” equals safe. But outages aren’t the only threat.
Data risks include:
Accidental deletion
Sync errors
Corruption during updates
Ransomware impacting connected systems
Vendor-side bugs that overwrite records
Incomplete backups or failed restores
An SLA that promises availability does not guarantee your data is intact, recoverable, or correct.
Some vendors explicitly state that you are responsible for backing up your own data. Others provide backups but limit:
How far back you can restore
How quickly restores happen
Whether restores are included in your plan
If your operations depend on data accuracy (finance, customer records, compliance logs), you need a separate data protection plan.
Modern businesses are built on stacks:
Cloud hosting
Identity providers (SSO)
Payment gateways
Email and messaging
CRM and ticketing
Analytics and reporting
APIs and integrations
You might have a strong SLA with your main vendor, but if their upstream provider fails, you still suffer.
And if your own business relies on multiple vendors, the combined risk is higher than any single SLA suggests.
If your checkout depends on three services and any one can fail, your real availability is the product of all three.
Even if each vendor offers 99.9% uptime, your end-to-end uptime can be materially lower.
SLAs are often used as a shortcut in vendor selection:
“They offer 99.99% — they must be reliable.”
“They’re a big brand — they’ll be fine.”
“The contract has an SLA — we’re covered.”
This mindset pushes teams to underinvest in:
Business continuity planning
Incident response
Redundancy and failover
Cyber resilience
Staff training and tabletop exercises
In other words, the SLA becomes a comfort blanket.
During an incident, what you need is:
Fast confirmation that the issue is real
Clear scope (who is affected)
Honest timelines
Workarounds nMany vendors provide vague updates:
“We are investigating…”
“We have identified the issue…”
“We are monitoring…”
That’s not operationally useful when you’re trying to:
Inform customers
Re-route work
Decide whether to switch to manual processes
Meet regulatory reporting timelines
A vendor can still meet their SLA while communicating poorly.
For many UK businesses, downtime and data incidents create compliance risk.
Depending on your sector, you may have obligations around:
GDPR (personal data availability and integrity)
FCA operational resilience expectations (for regulated firms)
PCI DSS (payment security and monitoring)
Contractual commitments to your own customers
Industry-specific rules (healthcare, finance, critical infrastructure)
If your supplier fails, regulators and customers don’t accept “but the vendor had an SLA” as a defence.
You don’t need to ignore SLAs. You need to treat them as one control among many.
Here are practical steps that reduce your risk.
Before signing:
How is uptime measured (vendor monitoring vs customer experience)?
What counts as “unavailable”?
Are partial outages included?
Are API failures included?
What are the exclusions?
What is the claims process?
If you can’t get clear answers, that’s a red flag.
Set up your own monitoring from the locations your users operate in. Monitor what matters:
Login
Key workflows (checkout, quote, booking)
API endpoints
Latency thresholds
This helps you:
Detect issues faster than the vendor
Prove impact if you need to claim
Understand real user experience
For each critical system, document:
What happens if it’s unavailable for 1 hour, 1 day, 1 week
Manual workarounds
Who decides to switch to fallback mode
How you communicate internally and externally
What data you must capture during downtime
Then test it.
Depending on your operations, this might include:
Secondary internet connection (failover)
Backup payment method/provider
Offline access to key documents
Redundant communications (phone, email, WhatsApp, Teams)
Local exports of critical customer lists and schedules
You don’t need to duplicate everything — just the parts that stop you trading.
If you have leverage (or you’re buying an enterprise plan), negotiate:
Stronger definitions of downtime
Inclusion of latency and partial outages
Higher service credit tiers
Faster support response for critical incidents
Clear escalation paths
Named account management
Reporting and post-incident reviews
Even small changes can materially improve your position.
Vendor outages impact:
Revenue
Customer trust
Legal exposure
Staff productivity
Brand reputation
Make it visible at leadership level. Track:
Incident frequency
Mean time to resolve
Communication quality
Root cause transparency
Dependency mapping
SLAs don’t cover your losses. Depending on your business, insurance may help with:
Business interruption (including non-damage BI in some cases)
Cyber incident response and recovery
Data restoration costs
Liability arising from service failures nInsurance isn’t a replacement for resilience — but it can stop a bad incident becoming a business-ending one.
If you answer “yes” to any of these, you likely have a gap:
We assume the vendor will compensate us if they go down
We don’t have independent monitoring
We don’t know the SLA exclusions
We don’t have a documented workaround for outages
We don’t know our upstream dependencies
We can’t operate for a day without this system
We’ve never tested a downtime scenario
SLAs are useful, but they’re not protection. They’re a contract mechanism that usually limits a vendor’s liability, not a guarantee that your business will stay operational.
The businesses that handle outages best aren’t the ones with the best SLAs. They’re the ones that plan for failure, monitor what matters, and build resilience into how they operate.
If you want, tell me what type of service you’re thinking about (cloud software, telecoms, hosting, payments, etc.) and I can tailor this into an industry-specific version with examples and a stronger call-to-action.
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