Yes - but not everything, and not unsupervised. AI agents can genuinely automate whole workflows today, provided the work is repetitive, spans a few systems, and has outcomes you can check. The mistake is expecting them to run the business; the win is letting them run the errands.
Workflows agents handle well now
- Invoice and payment chasing - reading records, drafting reminders, escalating overdue accounts
- Support triage - reading tickets, answering common ones, routing the rest to the right person
- Data reconciliation - keeping the same information consistent across systems
- Research and monitoring - gathering information from many sources into one summary
- Onboarding admin - creating accounts, sending documents, chasing missing details
These share a pattern: clear steps, frequent repetition, and a result a human can verify at a glance.
Where they still struggle
Agents wobble when a task needs deep context they were never given, when the "right" answer is a matter of judgement, or when an error is expensive to reverse. Negotiating a contract, making a hiring call, approving a large payment - these stay human. The realistic model is an agent doing 80% of a workflow and handing the tricky 20% to a person.
Start with one workflow, not ten
The businesses that succeed pick a single, well-understood process, automate it end to end, measure the result, then expand. Our guide to running a small agentic AI pilot walks through exactly that. Trying to automate everything at once is the fastest route to a stalled project.
The bottom line
AI agents can automate real workflows today - the constraint is choosing the right ones and keeping a human on the results. Learning to spot automatable work and scope it safely is central to the Strategic Application of AI in Business course at London School of Business UK. Enquire today.