Rapid prototyping
Find the work that AI can do for your business.
Your business has important work that follows a pattern. Your people do this work manually. We find this work with you. Then we build a working prototype in days. The prototype shows you if AI can do the work.
An assumption is not proof. A prototype that does your real work gives you proof.
What you get
A working prototype in days.
A rapid prototype is a small system that does one real task from your business. It can read the documents you receive. It can prepare the quotes you send. It can answer the questions your team answers each day. The prototype does your real work, next to your systems. You can examine each result, line by line.
Built in days
The scope is one small task. A small task makes the build fast. A fast build keeps your costs low.
Does your real work
The prototype uses your documents, your examples, and your records. It gets the same inputs as your team.
Judged on evidence
You compare the results with the work as your team does it today. Then you continue, adjust, or stop. The evidence makes the decision clear.
The process
We start with the people who do the work.
The best opportunities are not easy to see. They are in daily work that occurs often and follows a pattern. Your people read and type the same data again. They change data from one format to a different format. They answer the same questions again. AI helps with this work first. The people who do the work know where it is.
- 01
Workshop
We do a workshop with you and the people who do the work. Together, we make a list of the tasks that follow a pattern. We select the task where a prototype can show value fastest.
- 02
Build
We build the prototype in days. We use your real examples. We show you our progress while we build.
- 03
Review
Your team examines the prototype at each step. We change the prototype after each review. Real inputs and real opinions make the prototype better.
- 04
Decide
You see what the prototype did with your work. You see what was correct, and what it saves. Then you make your decision on the evidence.
The harness
Fixed rules protect the parts that must be exact.
Some parts of your business must be correct each time. Prices, invoices, stock, and compliance are examples. Fixed rules in code control these parts. The AI cannot change the rules. The AI does the intelligent work inside the rules, with guidelines that you set. The prototype sees only the data it needs, and your data stays your property.
Fixed rules
Code controls the exact parts of the work. Each part has one correct answer. The AI cannot change these rules.
Guidelines you set
The AI obeys guidelines that your team writes, in your words. When you change the guidelines, the AI’s behaviour changes with them.
A person approves
A person examines each important output. The person approves it before you use it. The AI writes the first version. Your people decide.
Proof
The savings were visible after two weeks.
Dean and Regardt helped us build a prototype within two weeks. They understood the problem deeply and in our first prototype iteration, we could already see massive savings on tasks that have historically been blockers to scaling our business.
Venco Kruger, Associate, Pragma Konsult
Next
Do you want to know what AI can do for you?
The first step is a call. If the plan is good, we do a workshop with the people who do the work. We build the prototype in days. Then you decide, with the evidence in front of you.