meadow

Put AI to work in your business.

Is your team searching through documents, summarising enquiries or drafting the same replies? I bring AI into your workflows to reduce repetitive work. We start with a specific need, test the value and introduce a solution your team can use every day.

From a business need to everyday use.

We choose a workflow with clear potential, define a useful result and test it against examples from your work. The findings guide implementation and any expansion.

Find the right starting point

We identify repeated tasks, hard-to-find information and steps that slow the team down. The first use case is chosen based on its potential value, available information and implementation effort.

An internal knowledge assistant

Help your team find answers in the procedures, guides and documents you select. They can ask a question and follow references back to the source to check the answer.

Support for service and sales

Summarise enquiries, sort requests and draft replies using your business information. We define which outputs need team approval and which actions suit automation.

Document processing

Extract details from forms, summarise documents and prepare information for the next step. Checks are built in where needed before data moves into your management system.

Connect to your existing tools

Bring AI capabilities into your CRM, website or internal tools, depending on the connections they support. Help is available where the work happens.

Testing, training and support

A focused pilot evaluates output quality, time spent and usage costs. Your team learns how to use the solution and review its output, with further support and improvements available as needed.

From business need to working product.

01

Understand the business and define the goal

We start with what you need to change, who will use the product and what a useful result looks like. That gives us the essential features and priorities for the project.

02

Agree on scope, budget and timing

You receive a written proposal covering what will be built, what it costs and when it will be delivered. Any change to the scope is discussed and priced together before work begins on it.

03

Build, launch and hand over

You see progress throughout the build and review the product before launch. Handover includes documentation and full code access, with ongoing support and development available as needed.

Before we get started.

Where do we start if we don't have a use case yet?

Start with one task that takes up your team's time. We'll map the workflow and consider whether AI could help, then define a small pilot with a result you can evaluate.

Do we need to replace our existing systems?

It is often possible to add capabilities to the tools you already use. Scoping checks the available connections and access to information before we decide what to build.

How do we check whether the results are reliable?

We test against representative examples and define when a person needs to review the output. A draft reply, for example, can go to an agent for approval before it reaches a customer. The level of automation follows the task and the quality of the results.

What happens to our business information?

Scoping defines what information is needed, who can access it and which tools will process it. We review the selected providers' usage and retention terms and design around your business requirements.

What does AI implementation cost?

The cost depends on the workflow, the state of your information and the connections required. The proposal separates implementation work from ongoing tool and usage costs, with the scope of each stage agreed upfront.

Tell me which recurring task keeps your team busy and what tools you use today. We'll explore whether AI fits the need and define a practical first step to test.