Find the repetitive, error-prone work in your operations, simplify the process, then automate it with clear rules and a defined place for human judgement.
Examples of the work this service covers. Most projects combine several.
Incoming orders or requests are validated, routed to the right team and tracked to completion, with exceptions raised to a person.
Supplier invoices, delivery notes and other documents are captured, checked against business records and only sent to a person when something needs a decision.
Issues are logged once, assigned an owner and a response target, escalated when overdue and recorded for later review.
Routine reports are compiled automatically and the right people are alerted when a figure or status needs attention.
Automating a confused process produces confused results faster. Before anything is automated, I look at why each step exists, which steps can be removed, and which decisions genuinely need a person. The automation then follows a simpler process with fewer hand-offs.
It is predictable, explainable and observable. Your team should be able to see what the automation did, why it did it, and what is waiting for them. If an automated step cannot be explained to the person responsible for the outcome, it is not finished.
My own productIn active development
My own product for verifying supplier invoices. It reads invoices, checks them against purchase orders, goods receipts and supplier records, and asks a person when something does not match.
Read the case study →Client project for iDine
A provider-side platform built for iDine to deliver and manage services for iDine's clients, covering customer accounts, departments, teams, categories and issue routing.
Read the case study →My own product
My own operations management SaaS product. It helps businesses log operational issues, give each one an owner and a response target, escalate what is overdue and keep a record of the work.
Read the case study →Usually the ones that are frequent, rule-based and currently cause delays or errors. A short discovery exercise ranks candidates by effort, risk and the time they actually consume, rather than by how interesting they are to automate.
Often not. Many processes are best automated with ordinary software rules, integrations and workflow tools. AI is useful where the input is unstructured, such as documents or free text, and even then it should be checked by clear rules.
Good automation removes repetitive steps, not judgement. Decisions that need a person stay with a person, and the system makes those decisions easier by presenting the right information.
Yes. Documenting how the process really works, including its exceptions, is the first step. It is often where the biggest improvements are found.
What the GST InvoiceNow requirement means for Singapore businesses: who is affected and when, how it works over Peppol, and how to prepare your accounting system.
What three-way matching is, why finance teams use it, how to handle mismatches and tolerances, and how to automate it without losing control of payments.
A practical guide to UAE e-invoicing for finance and operations teams: the Peppol model, the Accredited Service Provider and what to change in your systems.
Tell me what is slowing your team down and which systems you use today. You do not need a technical specification: describing the problem is enough to start.
