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305 largely integrated audits, teams formed automatically, in 11 minutes

Integrated audit scheduling case study: 305 audits scheduled in 11 min 24 s, 22 teams formed and 46 competence gaps found.

Test it on your data
Assurance providerPolandIntegrated audits2 min readIn English
11 min 24 sto schedule 305 audits
100%scheduled
96%automatically
22teams formed
Short answer

A global assurance provider scheduled 305 largely integrated audits in 11 min 24 s with ScheduleAI: 100% scheduled, 96% automatically, 22 teams formed where no single auditor was qualified, and 46 historical allocations found without the required competence.

Key takeaways

  1. All 305 audits were scheduled, 96% of them automatically, in 11 min 24 s.
  2. Where no single auditor held every competency, the engine formed 22 teams that together made the audit compliant.
  3. Checking the historical file, the engine found 46 audits that had been allocated without the required competency.
  4. The test used nine months of 2025 data, fully anonymised.

The challenge

Integrated audits cover several standards in one visit, so the team must hold every competency between them. Finding a single auditor who covers ISO 9001, 14001 and 45001 for the right sector is rare. Building compliant teams by hand is slow and error-prone.

How the teams were built

For 22 audits, no single auditor qualified. The engine formed a lead and co-auditor pair for each, and showed which competency each person contributed.

  1. Read the requirementStandards, sector codes and accreditation body for each audit
  2. Search single auditorsAnyone who covers every competency alone
  3. Form a teamLead plus co-auditor who together cover every code
  4. Check the rulesAvailability, rotation, conflicts and distance

The results

100%of 305 audits scheduled
96%placed automatically

The finding nobody expected

Comparing the engine's plan with how the audits had actually been allocated, ScheduleAI found 46 audits in the historical file allocated without the required competency. Each would have been a potential accreditation finding. The engine blocks these before booking.

What this means for your body

01

Planning time

If monthly planning takes days, the allocation step can usually be cut to minutes.

02

Internal capacity

Using qualified internal auditors first reduces subcontracted days.

03

Travel

Clustering nearby audits cuts kilometres, hotel nights and emissions.

04

Compliance

Checking every allocation against the rules removes a common assessment finding.

See our guide to audit scheduling software and how to test it on your own data.

Check these results on your own data

  • ✓Share an extract of auditors, competences and one or two months of audits.
  • ✓Agree success criteria: planning time, share allocated automatically, utilisation, subcontracted days and travel.
  • ✓Compare the engine's plan with your real plan, audit by audit.
  • ✓Decide on a pilot only if the numbers hold.

For certification bodies, audit scheduling software that checks competence, rotation and windows on every audit takes most of this work off the planning team.

How ScheduleAI handles this

ScheduleAI checks competency and accreditation body per standard on every allocation, and forms teams where no single auditor qualifies.

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Questions

How are teams chosen?

The engine searches for a lead and co-auditor who together hold every required competency, then checks availability, rotation, conflicts and distance.

Was real data used?

Yes: nine months of 2025 data, fully anonymised.

Were these results measured on real data?

Yes. They come from the customer's own production data.

Can we see similar results?

A free two-week custom demo on your own data shows what's achievable for your programme.