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Solutions

Start with the problem. Build towards the outcome.

Find practical AI, automation and business solutions by starting with the outcome you want. Explore workflows, agents, tools, stacks and systems for real problems.

How this works

Tell us what you want to achieve.

A solution is not simply a recommendation for another piece of software.

We start with the problem, identify the desired outcome, then work backwards to determine which tools, AI, automation, agents and processes could form the solution.

Think backwards

Define the outcome before choosing the technology.

The outcome is the result you actually want.

For example, instead of saying: "I need an AI agent," you might say: "I want customer enquiries answered quickly, with difficult cases sent to a human."

That gives us something meaningful to design around.

See how we build the solution →
Solution · Productivity

Save time on repetitive work.

Before automating something, identify exactly what is repetitive and why it is being done.

Good candidates for automation are usually predictable, repeatable tasks with clear inputs and outputs.

AI can be added when the task requires interpretation, generation or flexible handling of information.

Build the solution

The solution is bigger than the tool.

Once the problem and desired outcome are clear, we can work backwards to design the simplest practical solution.

  1. Define the outcome.
  2. Map the current process.
  3. Identify unnecessary manual work.
  4. Decide what can be handled with normal software.
  5. Identify where AI adds useful capability.
  6. Decide whether an AI agent is actually necessary.
  7. Connect the components with automation.
  8. Keep human approval where appropriate.
  9. Measure whether the solution actually improves the outcome.
The principle

Don't start with the tool.

Tools change. AI models change. Automation platforms change. Your underlying problem and desired outcome are usually much more important.

Once you understand the outcome, you can evaluate the technology that is actually appropriate for the job.

Now explore the Tools →
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Ready to go from idea to implementation?

Use a blueprint to turn the outcome into a practical implementation path.