A practical checklist for choosing the first processes to automate, before you spend a rupee on tools.
Most failed AI projects share a common mistake: they begin with the technology instead of the task. Someone sees an impressive demo, buys a tool and then hunts for a problem it can solve. A better order is the reverse. Pick a task, test whether it is a good fit, and only then choose the technology.
Here is a short test you can run on any process in your business. It takes about five minutes per task and can save months of wasted effort.
Question 1: Is it repetitive?
AI delivers the most value where the same kind of work happens again and again. Processing invoices, answering the same customer questions, preparing weekly reports and entering orders are all good candidates. A task you do twice a year is rarely worth automating, however tedious it feels.
A useful rule: if someone on your team does it daily or weekly, keep reading.
Question 2: Can a machine read the input?
AI systems work with information they can see or hear. That can be text, emails, spreadsheets, scanned documents, photographs or recorded speech. Modern tools cope surprisingly well with messy inputs such as tilted scans or varied invoice layouts.
Where it falls down is when the real input lives only in people's heads: "we always give that customer a discount because the owner knows his family". If the rule is unwritten, it has to be written down first.
Question 3: Can you describe what "good" looks like?
This is the question people skip, and it matters most. Before automating, you should be able to say:
- What does a correct result look like?
- Who decides whether an output is right?
- What are the rules, even the awkward exceptions?
If two experienced colleagues would handle the same case differently, the process needs agreement before it needs automation. Automating confusion only produces confusion faster.
Question 4: What happens if it gets one wrong?
Every system, human or machine, makes mistakes. The right question is how costly a mistake is and how easily it is caught.
- Low cost, easy to catch. Drafting a first reply to a routine enquiry. A person reviews it before it goes out. Excellent for AI.
- Medium cost. Posting an invoice to the accounts. Add automatic checks and send unusual cases to a person.
- High cost, hard to reverse. Approving a large payment or changing a contract. Keep a human decision at the centre and use AI to prepare and explain, not to decide.
Question 5: Is there a person to own it?
Even a good automation needs an owner, someone who watches the results, handles exceptions and speaks up when something changes. If nobody owns the process today, nobody will own the automated version either.
Scoring your task
Give one point for each "yes" to questions 1, 2, 3 and 5, and treat question 4 as a safety check rather than a score.
- 4 points and a manageable error cost: a strong first candidate. Start a small pilot.
- 2 to 3 points: promising, but fix the gap first. Usually that means writing down the rules or assigning an owner.
- 0 to 1 point: not ready. Improve the process before you automate it.
A worked example
Suppose a distributor receives purchase orders by email as PDFs and photographs, and a coordinator keys each one into the ERP.
- Repetitive? Yes, dozens a day.
- Readable? Yes, the orders are on paper or screen.
- "Good" defined? Mostly: product codes and prices are in the master data, though a few customers have special rules that nobody has written down.
- Cost of error? Moderate, but easy to catch if the system flags anything that does not match.
- Owner? Yes, the coordinator.
The verdict is a strong candidate, after the special customer rules are documented. The plan: let the AI read each order, match it to master data, and send only the exceptions to the coordinator. That keeps the person in control and removes the retyping.
Start small, measure, repeat
Choose one task that scores well, set a simple measure such as minutes per order or the share of orders needing correction, run a pilot for a few weeks and compare the results to your starting point. Success on one process builds the confidence and the evidence for the next.
The goal is not to automate everything. It is to automate the right things first.
Not sure which of your processes would pass the test? AGSOFTECH runs short discovery sessions to find the best first candidates. Book a free consultation or learn about our process automation services.
This article is for general information only and is not legal, financial or professional advice. Examples are illustrative and do not describe any specific client.