[Needs data: methodology name]: how I implement AI and automation
The method is a five-stage process in which an AI or automation solution is assessed, tested on real data, turned into a system that runs every day, and handed over to your team. It ends not with deployment but with your people running the system themselves.
Why this method exists
Most AI projects in business stall for one of three reasons, none of them technical.
- The work starts from a tool instead of a process.
- Testing happens on made-up examples instead of real data.
- The result depends on the person who built it.
Each one has its own stage: the process is assessed before a tool is chosen, the pilot runs on your data, and handover has its own deliverable.
Stages
Five stages. Each answers one question and ends with a concrete deliverable.
Assessment
Where is the most manual work today?
- What happens
- I look at how the process actually runs: who does what, in which systems, how long it takes, where errors repeat. I talk to the people who do the work. You can run a first, self-serve version of this stage yourself: the free Oopsify audit shows in 10 minutes what in your business is worth automating.
- What you get
- A process map and a list of the places where automation would pay off most.
- Duration
- [Needs data: Q1]
- Who is involved
- The manager and one or two people who run the process.
Priorities
What to automate first, and why?
- What happens
- I rate each opportunity by benefit, risk, and how much data you already have. We pick one or two places to start.
- What you get
- A ranked list with reasoning, and a brief for the first solution: what it will do, what it will not do, how we will measure it.
- Duration
- [Needs data: Q1]
- Who is involved
- The manager, the person who makes the decision.
Pilot
Does it work on your real data?
- What happens
- I build a working prototype and run it on your real data and real cases. We measure where it fails and how much time it saves.
- What you get
- A working prototype, pilot results, and a decision: build the system or stop.
- Duration
- [Needs data: Q1]
- Who is involved
- The people who run the process every day.
System
How does it run every day, without me?
- What happens
- The prototype becomes a system: integrations with your tools, error handling, monitoring, documentation. It runs in your environment, in your accounts.
- What you get
- A running system, its documentation, and a plain description of what to do when something breaks.
- Duration
- [Needs data: Q1]
- Who is involved
- Your IT person or provider, if you have one.
Handover
Can your team run and extend it on its own?
- What happens
- I train the team to use, maintain, and change the system. Together we review what to automate next and how to evaluate it without me.
- What you get
- A trained team, access and code in your hands, a list of next steps.
- Duration
- [Needs data: Q1]
- Who is involved
- Everyone who will use the system.
What it is not
Four ways this method differs from typical AI agency work.
Not a template.
The solution is built for your process, not adapted from a catalogue.
Not tool first.
Tools are chosen after the assessment, not before it.
Not a rental.
Code, access and documentation stay with you. You can continue without me.
Not deploy and leave.
Handover is a separate stage with its own deliverable, not the last day of the project.
Where each service fits
The three services use different stages of the method.
| Stage | Solutions | Training | Consulting |
|---|---|---|---|
| Assessment | Yes | Brief | Yes |
| Priorities | Yes | No | Yes |
| Pilot | Yes | Hands-on exercises | Optional |
| System | Yes | No | No |
| Handover | Yes | The whole stage | A plan for the team |
What you have when it is done
A running system your team uses every day and knows how to change.
Documentation that a non-programmer understands. Access and code in your own hands. And most of all: your people can evaluate the next AI idea themselves, they know what to ask, how to test on real data, and when to say no.
Let's talk about where the most manual work is in your business.
A 30-minute call. You show me how the process runs today. I tell you what I would automate first and what I would leave alone.
No pitch. A diagnostic conversation. Oopsify: a chat with an AI, no signup, a report by email.
