A look at the kinds of work our agents take on. To protect client confidentiality, the scenarios below are illustrative composites — they show representative capabilities and ways of working, not specific named clients or guaranteed results.
Illustrative scenarios. The examples below are representative scenarios showing how AI agents can be applied to common business workflows. They are not presented as named client case studies.
A typical scenario: a European logistics group is overwhelmed by repetitive shipment queries. An agent triages and resolves routine tickets across email and chat, escalating only the complex cases — with a full summary attached — to the human team, so people focus on the work that needs judgement.
A financial institution puts an ops agent to work reconciling transactions and reviewing KYC documents across systems — clearing a daily bottleneck while keeping a full audit trail and human sign-off.
An advisory firm gives its analysts a research agent that reads across client documents and drafts sourced briefs in minutes rather than hours — with citations the team can check.
A school deploys an agent to answer routine parent and student enquiries — admissions, schedules and policies — in multiple languages, around the clock, handing anything sensitive to staff.
A multi-market retailer uses a support agent to handle order and returns questions across several European languages, giving customers an instant first response at any hour.
A manufacturer uses an agent to draft and chase routine supplier correspondence, keeping procurement moving without the manual follow-up — with a person approving anything that commits the business.
A SaaS scale-up gives its sales team an agent for lead research and follow-up drafting, keeping the pipeline warm and the CRM tidy — while reps stay in control of every message that goes out.
Tell us about a workflow that’s slowing your team down, and we’ll show you what an agent could do with it.
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