Can AI reduce your business costs? Start with one task.
I explain how to assess assistance or automation by the quality and full cost of completed work. 2 minutes 46 seconds · Published 13 September 2026.
This page loads the YouTube player. Playback starts when you press play; captions are selectable. Made with AI: my authorised AI likeness and voice. The examples are fictional, not customer results. Provider disclosure.
Two fillable pages, free to download. Save it and email it to me, or bring it to the call. Leave out confidential information.
Video transcript
The narration below is from the published video. A useful assistant can be the whole project; private hosting is an optional delivery choice.
The cost of repeated work
How much of your payroll goes into copying information, chasing approvals, and correcting the same mistakes? Before investing in AI, start with one task. Count the time, the checking, and the running costs. Then ask whether the completed work will actually cost less.
What CPLT helps you do
At CPLT, I help you make that decision, from a useful chat assistant to a process that handles repeated steps. You keep control of important decisions. This is my authorised AI-generated likeness and voice.
A useful chat workspace
A useful chat workspace can be the whole project. Help your team answer recurring questions using information they are allowed to access. Prepare summaries and first drafts for a person to check. The test is simple: does the team complete the work with less effort?
Automate repeated steps
Automation can also connect repeated steps. Here is a fictional example. A request arrives. The system extracts the information needed, checks the required details and prepares a draft. Missing or conflicting information goes to a person. A person also approves important decisions. The aim is less copying, chasing and rework. We test that benefit on your own work.
Put documents to use
For work involving scanned documents, I can scope a system that turns pages into usable text, keeps page references and flags problems for human review. Your team can return to the source and check what the system has read. We agree the document types and acceptance checks before building.
Measure the whole cost
For a real business, I would use a representative set of questions and measure the whole task. How long does someone spend finding the answer today? How long does the assistant take? How much checking or correction is still needed? And what does the system cost to operate? The useful measure is cost per acceptable result, including the person who checks it. A fast answer is not much help if verification takes longer than doing the task manually.
Agree the work and the price
This is how I would start a CPLT engagement. One recurring task, the documents we are allowed to use, and clear criteria for deciding whether the result is acceptable. Then we settle where the data can go, the scope, the operating costs, and who will take over the system. Sometimes an existing business tool is enough. If it is, I will say so. If a custom workspace makes sense, we agree the scope and price before building it, with documentation and a handover your operator can use.
A bounded first investment
When the work needs proving, start with a scoped paid pilot. Agree representative examples, a budget and success criteria. Review the quality, human effort and running costs. Then decide whether to deploy, revise or stop. Time released becomes cash saved only when spending actually falls. Savings are not guaranteed.
Bring one costly task
If you want to explore one task in your business, visit cplt dot tech slash contact to book a free scoping call. Thank you for watching, and for taking the time to get to know CPLT.