Case study · Finance
Month-end close, run by AI agents
AR Agentic Closing automates Fatima Group’s monthly Accounts Receivable close with AI agents that determine the required actions and carry out the end-to-end cycle on their own.
Agents decide. Agents act. Finance stays in control.
AR Agentic Closing · The design goal
The case file
From challenge to outcome.
Step 01
The challenge
Month-end closing is high-volume, repetitive and deadline-bound, and rule-based automation can’t decide what each close needs next.
Step 02
Our approach
A team of specialized AI agents that observe the data, decide which actions the close requires, execute them and share results with each other.
Step 03
The solution
Agent-driven month-end AR closing, running every month since July 2025: 22,891 transactions in Q1 2026 and 40,067 in Q2 2026.
Step 04
From a manual month-end to an agent-run close
- 95%Process efficiency on the monthly AR close.
- AutonomousAgents determine and execute the required actions.
- LiveEvery month-end close since July 2025.
FAQ
Questions about AR Agentic Closing.
The short answers, in the order teams usually ask them.
What is AR Agentic Closing?
AI agents that run the monthly Accounts Receivable close end to end.
How is it different from RPA?
RPA bots repeat fixed steps. These agents decide which actions are needed, then carry them out.
Is it live?
Yes. It has run Fatima Group’s month-end AR close since July 2025.
How much work does it handle?
22,891 transactions in Q1 2026 and 40,067 in Q2 2026.
How efficient is it?
95% process efficiency on the monthly close.
How do we get started?
Pilot on one closing process with your finance team.
Pilot AR Agentic Closing
on one closing process.
Bring the challenge. Bring the ambition.
We’ll show you what it looks like on your own data.