Case studies from real operations
Case studies from the real operation
From focused validations to applications in production. Every case shows how far the implementation progressed and what its results are based on.
Where this tends to show up
Tenant Dossier Review Workflow
AI workflow for a large Randstad rental agency that reads tenant documents, validates income and identity data against acceptance criteria, and explains every flag before a human makes the final call.
Primary result
Observed in a working pilot on representative tenant dossiers. The time saving is an estimate based on the previous manual review flow versus the pre-validated workflow.
SharePoint Knowledge Layer
Permission-aware semantic search across 50,000+ SharePoint documents. Search time dropped from 12 minutes to 45 seconds, with zero permission violations in production.
Primary result
Measured after production deployment across more than 50,000 SharePoint documents. Permission performance is based on monitored production usage.
Multi-Brand AI Customer Operations Platform
The customer-facing implementation of a shared AI platform for a multi-brand energy operation. One platform supports voice, chat, L2 ticket handling, debt-related flows, and sales conversations across 20+ brands without duplicating logic, knowledge, or governance.
Primary result
Observed in the customer-facing implementation. The figures describe live platform scope across brands, roles and channels rather than a productivity claim.
AI Platform for Energy Operations
A modular AI platform for the energy sector that combines a voice agent, chat agent, L2 ticket agent, debit agent, and sales agent on one shared orchestration and knowledge layer. Built so the operating model can be reused across other sectors with similar service and backoffice complexity.
Primary result
Observed in a working platform implementation. The figures describe implemented platform scope, not a measured productivity or financial outcome.
Sovereign AI Infrastructure
Private AI platform for a global maritime engineering company. Open-source models running on-premise with Kubernetes - zero data leaves the building.
Primary result
Measured and observed during deployment inside the client infrastructure. Model quality compares a client-specific domain benchmark with selected cloud models.
Telecom Support Triage & Tier-1 Resolution
AI support flow for a telecom operation that classifies incoming tickets, resolves repeatable Tier-1 issues, and hands complex cases to the right human queue with usable context.
Primary result
Measured during a focused validation on representative Tier-1 support issues. This was not a live production rollout.
Brand Voice Product Content Pipeline
AI content pipeline that turns raw product data into on-brand, SEO-aware product descriptions at catalogue scale, with editorial review still in control.
Primary result
Measured in a focused validation across 200 product records with editorial review. No production catalogue rollout is claimed.
CSRD Narrative Drafting Assistant
AI drafting assistant for sustainability teams that turns ESG data and CSRD requirements into structured first drafts, so reporting starts from a grounded narrative instead of a blank page.
Primary result
Validated on eight ESRS topics. Draft quality was measured on the test set; writing-time savings are estimated from the prior manual workflow.
Contract Review Against Internal Playbook
AI review workflow that checks contracts against a firm's own playbook, flags deviations, and gives lawyers a usable first-pass risk summary before detailed review starts.
Primary result
Validated on 15 contracts against an internal playbook. Detection was measured on the test set; time savings are estimated from reviewer comparisons.
Logistics Knowledge Retrieval Layer
Knowledge layer for logistics teams that answers operational questions from internal documentation with source-backed responses, so staff stop losing time in manuals, folders, and colleague escalations.
Primary result
Measured with eight pilot users across approximately 150 indexed documents. Broader production rollout was the proposed next phase.
Logistics Document Intake Before ERP Entry
Document intake workflow for logistics backoffices that reads freight documents, extracts structured fields, and validates them before ERP entry, so teams stop retyping and correcting the same information by hand.
Primary result
Measured on approximately 200 archived documents. ERP mapping was validated, but live ERP integration was outside this phase.
AI-Assisted KYC Screening
KYC screening workflow that checks clients against sanction lists and public sources, then produces structured risk profiles analysts can review instead of building every dossier from scratch.
Primary result
Measured on 25 test dossiers against known risk signals. The workflow supports analyst preparation and does not automate final KYC decisions.
Technical Spec Comparison for Procurement
AI workflow that extracts technical parameters from supplier datasheets, compares them against project requirements, and flags deviations before they turn into procurement mistakes or engineering delays.
Primary result
Validated on 15 supplier specification sheets. Review-time reduction and detected deviations refer to the tested set.
Tender Drafting from Internal Knowledge
AI tender workflow that turns an RFP into a structured first draft by matching requirements to internal case studies, CVs, and reusable proposal knowledge.
Primary result
Measured in a focused validation across five historical tenders. Drafts were assessed as starting points, not submission-ready proposals.
Woo Redaction Review Assistant
Review assistant for Woo requests that pre-marks sensitive information in government documents, so civil servants start from a suggested redaction layer instead of from zero.
Primary result
Measured on a representative Woo test set with human review. The workflow proposes redactions and does not make final publication decisions.
Next step
Want to see where this could land first in your operation?
Start with one concrete process. In the AI Opportunity Scan we assess where AI adds value and what the best first route looks like.