AI agents for finance and administration.
Take the manual coordination and repetitive preparation out of recurring finance and administrative workflows, while approvals, exceptions and accountability stay explicit.
Where an agent can contribute
Depending on the workflow, an agent may support:
- Document intake and preparation
- Extracting and organising approved information
- Validation against defined rules
- Preparing reconciliations and administrative follow-up
- Assembling approval packages
- Flagging exceptions and missing data
- Preparing recurring status and reports
- Completing approved workflow updates
The strongest opportunity is usually hiding in the handoffs.
Finance and administrative work is full of repeated checks, data gathering, preparation, waiting, exceptions and approvals. Most of the elapsed time is not work.
We redesign the complete workflow so the agent is used where it removes avoidable work, without weakening financial control or moving who owns a decision.
What could be measured
Illustrative KPI types, not promised results. The baseline and the success measure are agreed for your real workflow before implementation.
- Processing time
- Manual touches per item
- Exception rate
- Rework rate
- Approval cycle time
- Reporting preparation time
- Data completeness
- Missed-deadline rate
Questions about this workflow.
Can the agent make financial approvals?
Not without approval on the early runs. A person approves every real action, the agent runs in a sandbox first, and escalation rules are agreed before go-live. If it is unsure, it stops and asks.
The approval gates loosen only when you decide you are comfortable, not before.
Can the agent work with confidential information?
Only with what you approve for the one workflow, and it runs on your side: your environment, your credentials, least privilege. We hold none of your operational data.
If your documents sit inside a controlled library under a quality system, we do not touch it. You copy the documents this one workflow needs into a separate working folder outside the quality system, and the agent reads that.
How do we decide on the first finance or admin workflow?
In the free 45-minute AI Value Scan. We look at which priority the workflow serves, how often it repeats, whether it can be baselined, and whether approvals can be made explicit.
Next day you get a one-page map of where an agent pays first, the metric we would aim to move, and a fixed price and date.
Continue
What makes an AI agent governed
What a governed agent is, and the nine elements it needs to run in production.
Methodology
How we move from a business priority to a measured production result.
First AI Agent in 30 Days
One workflow, one production agent, one measured metric. Fixed scope.
AI Value Scan
A free 45-minute session to work out which workflow to start with.
Other use cases
Find where AI can create measurable value first.
Next day you get a one-page map of where an agent pays first, the metric we'd aim to move, and a fixed price and date.
45 minutes. You keep the map either way.
No preparation required. No commitment.