Anonymised example
Task-level AI exposure
for five roles.
Illustrative sample only. No company identifiers. CHF figures use mid-market Swiss rates.
Sample totals
CHF 412,400 illustrative time value across exposed tasks
Average task exposure 64 / 100. Full assessment maps your real task inventory, systems, and controls.
5roles
Finance, Support, Engineering, Marketing, HR.
25tasks scored
Five representative tasks per role.
0–100exposure
Higher means more automatable today.
3actions / role
Pilot, measure, govern.
Per-role detail
What the sample shows
- 78
Compile recurring management packsHigh exposure to generative drafting with human review.
- 62
Reconcile ledger exceptionsPartial assist; judgment remains with the controller.
- 71
Draft variance commentaryStrong draft support once charts are prepared.
- 84
Build ad-hoc Excel modelsFormula scaffolds and scenario tables accelerate work.
- 55
Answer stakeholder data requestsRetrieval helps; trust and context stay human.
- Pilot generative drafting on the two highest-exposure tasks with human review.
- Instrument time saved for 30 days before expanding automation scope.
- Rewrite SOPs so AI-assisted steps keep an accountable human owner.
- 81
Triage inbound ticketsClassification models route routine queues quickly.
- 88
Draft first-response repliesHighest exposure task in the sample set.
- 74
Update knowledge-base articlesRewrite and summarise from resolved tickets.
- 28
Escalate complex casesLow exposure; empathy and authority dominate.
- 69
Log CRM notesStructured summarisation reduces after-call work.
- Bundle similar low-judgment tasks into one assisted workflow queue.
- Protect relationship-critical and judgment-heavy tasks from full automation.
- Set an audit sample rate for AI outputs before customer exposure.
- 76
Write boilerplate CRUD endpointsScaffolding accelerates delivery with review gates.
- 72
Generate unit-test scaffoldsCoverage templates free senior review time.
- 64
Summarise incident postmortemsNarrative drafts from logs and timelines.
- 48
Review pull-request diffsAssistive only; ownership stays with reviewers.
- 18
Pair on novel architectureLow exposure; design judgment leads.
- Pilot generative drafting on the two highest-exposure tasks with human review.
- Train the team on prompt libraries tied to existing templates.
- Map data-classification rules before connecting internal systems to models.
- 86
Draft campaign copy variantsHigh throughput when brand rules are encoded.
- 82
Repurpose webinar transcriptsStrong multi-format rewrite support.
- 58
Segment email audiencesPartial assist; CRM truth remains human-owned.
- 34
Brief agencies on brand voiceLower exposure; taste and accountability lead.
- 70
Report weekly funnel metricsNarrative packs from dashboards speed reviews.
- Instrument time saved for 30 days before expanding automation scope.
- Rewrite SOPs so AI-assisted steps keep an accountable human owner.
- Set an audit sample rate for AI outputs before customer exposure.
- 79
Screen CV keyword matchesHigh exposure with bias controls required.
- 73
Draft offer-letter templatesTemplate filling with legal review.
- 67
Summarise engagement surveysTheme extraction accelerates leadership packs.
- 61
Schedule interview panelsCoordination assist; calendar ownership stays human.
- 22
Advise on sensitive employee casesLow exposure; confidentiality and judgment dominate.
- Protect relationship-critical and judgment-heavy tasks from full automation.
- Map data-classification rules before connecting internal systems to models.
- Train the team on prompt libraries tied to existing templates.
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