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AI Resilience

What happens when the AI goes down, or goes wrong?

Map how your processes depend on AI, and build tested fallbacks for when it fails or goes wrong.

In brief

AI Resilience is a Kalosys service that maps which business processes depend on which AI models, providers, agents and data, and what happens when they fail, slow down or give wrong answers. It then builds and tests fallbacks such as alternate models, rollback and procedures for people to take over.

THE PROBLEM

Why this matters now

Business processes increasingly depend on AI: a model provider, an agent, a data pipeline. Most continuity and recovery plans were written before AI arrived. When an AI service fails, slows down or produces wrong output, there is often no fallback, no rollback and no tested recovery.

40%

of companies will roll back or disable autonomous agents by 2027 after production incidents expose gaps

Gartner, May 2026

62%

of enterprise buyers require human oversight safeguards on AI

Buy-side survey of 815 buyers, CXOutsourcers 2026

HOW IT WORKS

Start small, prove value, then run it

More and more business processes depend on AI: a model provider, an agent, a data pipeline. Most continuity and recovery plans were written before AI arrived. We map which processes depend on which AI services, work out what happens if they fail or give wrong answers, and build and test the fallbacks: alternate models, rollback, and procedures for people to take over.

01 · Fixed fee

Assess

  • Map which processes depend on which models, providers, agents and data
  • Analyse the impact of failure, slowdown and wrong output
  • Review gaps against existing continuity and recovery plans

YOU RECEIVE

  • AI dependency map
  • Business impact analysis
  • Gap report and priorities
  • Recommendation to proceed, defer or stop

02 · Fixed scope

Build

  • AI-specific continuity and recovery plans
  • Provider failover or alternate models
  • Version control and rollback for models, prompts and configuration
  • Fallback-to-human procedures and a recovery test

YOU RECEIVE

  • AI continuity and recovery plans
  • Runbooks
  • Recovery test report

03 · Monthly

Run

  • Scheduled recovery drills
  • Plan updates as the AI estate changes

YOU RECEIVE

  • Drill results
  • Resilience report for leadership and auditors

SCOPE AT A GLANCE

What's included, and what isn't

Included

  • The AI-dependent processes in scope
  • Recovery plans, fallbacks and a recovery test

Not included

  • Replacing your existing continuity program, which this extends

Done when

Each critical AI dependency has a tested fallback and agreed recovery targets.

OUTCOMES

What you get

  • Known AI dependencies
  • Tested fallbacks for critical processes
  • Faster recovery when AI fails
  • Evidence for auditors and the board

IS THIS FOR YOU?

You may need this if

  • Existing Kalosys resilience clients
  • Regulated industries such as finance and healthcare
  • AI in customer-facing or revenue processes
  • Reliance on a single AI provider

QUESTIONS

What leaders usually ask

What does recovery look like for AI?

Switching to an alternate model or provider, rolling back to a previous model, prompt or configuration, or falling back to a manual process, within agreed recovery times.

Do you test the plans?

Yes. The Build step includes a recovery test, and the Run service includes scheduled drills.

Does this help with audits?

It produces documented plans, test results and reports that support audit and board reviews. Whether that meets a specific regulation is a question for the client's compliance team.

Our AI provider has high availability.

Providers can still have outages, change model behaviour or retire versions. Resilience is about your process continuing when that happens, not just the provider's uptime.

Our existing DR plan covers this.

It may cover the servers. It usually doesn't cover a model that starts giving wrong answers, a changed prompt, or an external AI service going down. The assessment checks exactly that gap.

AI isn't critical for us yet.

Then the assessment will be short. It's still worth knowing which processes are quietly becoming dependent on AI before they become critical.

RELATED

Often paired with

Agent Governance and Control"Who can stop an agent, and how fast?"Private and Hybrid AI Infrastructure"Where should our AI actually run, and what will it cost?"AI Decision Review"Should we make this AI investment, and is it the right one?"

Not sure where to start?

Start with an AI Decision Review, or talk to us about AI Resilience. Every engagement starts with a fixed fee and a clear recommendation.

GET IN TOUCH

Talk to us about AI Resilience

Tell us what you are working on. A senior member of our AI team will get back to you within one business day.

Prefer to talk now? Talk to Alleria, our AI sales agent.

Last updated October 29, 2026