Back office automation

Task automation saves keystrokes inside a step. The cycle time of the process sits between steps, in hand-offs and queues that no bot owns. Bots that follow screens break when a screen or a supplier's invoice layout changes, so each one needs maintenance. Anything a bot cannot handle drops back to a person with no explanation, and that person starts the investigation from scratch. Ownership fragments too: IT owns the bots, operations owns the outcome, and nobody owns the process from end to end.

The back office is also where the return from AI is easiest to see. Its processes already have volumes, unit costs and service levels, and the money they spend on outsourced handling and rework is visible in operating budgets. Getting that return depends on how the work is rebuilt.

Consider supplier invoices at a hypothetical distribution company, arriving as email PDFs, through a portal and by EDI.

The person in the loop is an accounts payable specialist who sees only the invoices that need judgment: a price above contract, a duplicate that is not quite identical, a supplier whose bank details just changed. Everything else flows past without anyone touching it, the arrangement management by exception has always described. The queue design itself is covered under exception management.

The team keeps every decision with money or relationship risk: payments to changed bank details, price disputes with suppliers, write-offs, new suppliers, and policy changes. They also own the tolerances, and they review a sample of automated decisions each week so they stay close to the routine work.

1. See: where does the work actually go? Trace a few hundred cases through the systems and inboxes, and time the waits, not only the work. Process mining on system logs shows the paths; sitting with the team shows the workarounds that never reach a log.
2. Rethink: which steps should exist at all? Remove approvals that never reject anything, merge hand-offs between teams, and move checks to the point of entry. The lesson of business process reengineering applies: automating the old process locks in its waste.
3. Engineer: build on the stack you run. The AI system reads and writes the ERP, the inboxes and the supplier portal through their interfaces. Specialists work in one queue.
4. Harden: prove it on the invoices that went wrong. Feed it last year's problem invoices, the duplicates that slipped through, the disputed prices, the fraud attempts on bank details, and check it catches them. Agree controls with finance and audit before anything pays automatically.
5. Run: keep tuning it. Tolerances drift as suppliers, contracts and volumes change, so someone has to keep adjusting them. After launch, Manthle's engineers do that work alongside the accounts payable team.

In financial services the middle office sits between the front office and settlement: trade confirmation, risk checks, reconciliations, client due-diligence refreshes. The same design applies. The routine runs, and the cases that touch risk limits or regulatory judgment reach an analyst with the evidence assembled. The controls bar is higher, so the hardening step takes longer.

End-to-end cycle time from receipt to completion, share of cases completed without a person (with the reversal rate on those), exception aging, touches per case, rework, and the cost of errors that escape, such as duplicate payments or late-payment fees. Baseline each one before the pilot starts.

• Structured inputs, stable rules, no judgment. Plain RPA or the ERP's own workflow is cheaper. The RPA vs intelligent automation comparison covers the boundary.
• A packaged product matches your process. Accounts payable, expense and reconciliation tools are mature. If your process is standard, buy one.
• The platform is about to change. If an ERP replacement lands next year, wait or design for the new system.
• Volume is small. A good team with clear procedures beats any build.

Back-office work in multi-site businesses such as retail multiplies these hand-offs across stores and vendors. The back office operations entry describes the functions themselves, and the AI for business operations guide covers how to pick the first process.