AI services

Use AI where it removes real friction.

Help businesses choose, set up, integrate, and use AI tools in workflows where they save time, improve quality, or make useful work easier to repeat.

Use the email button and include the workflow, current tools, risks, and what useful output should look like.

Art Deco illustration of an AI-assisted workflow with briefs, privacy boundaries, human review, and useful output

Practical, not hype

Try AI on one task you can judge.

Take a recurring support question, such as a customer asking to change a delivery date. Give the tool the approved delivery policy and ask for a draft reply that identifies any missing information.

Compare the draft with a reply your team would accept. Did it use the policy correctly, invent a promise, or miss a necessary question? Count the time spent checking and correcting it as part of the task.

How we help

Define the task before choosing the tool.

A useful trial has a real example, an acceptable result, and a person who can check it. Use that trial to decide what to keep or change.

Art Deco AI-assisted client-work instrument with a human hand steering the final direction

AI strategy

Choose a frequent task with a clear result. If a simple form or fixed rule solves it, use that as the comparison before adding AI.

Tool selection

Give candidate tools the same representative examples. Compare factual errors, missing details, correction time, and the ability to work with your existing tools.

Setup and integration

Decide where the input comes from and where the result should go. For a support reply, start with a draft the team can read before it reaches the customer.

Prompt systems

Write down the source material, intended reader, required format, and what to do when information is missing. Keep examples of acceptable and unacceptable answers.

Training

Practise on your team’s own tasks. Teach people to check names, dates, quotations, and promises against the supplied source before using the result.

Custom workflows

Connect repeated steps when the trial shows a benefit. Keep a way to inspect the input and result so a failed task can be understood and corrected.

Common use cases

Choose a result your team can verify.

These examples pair a useful first output with the check it needs.

Art Deco writing machine with prompt dials and a human approval pencil

Content operations

Turn approved product notes into a draft description. Check every specification and remove benefits the notes do not support.

Customer support

Draft an answer from a customer question and the relevant policy. Check eligibility, dates, and promises before sending.

Data and research

Extract delivery dates from supplier documents into a comparison. Keep the source for each value and check missing or conflicting dates.

Creative production

Create illustration concepts for a page. Check that the image explains the topic and does not show invented product features or misleading details.

Code and technical work

Draft a change for a specific software defect. Review the change and test the failed action before using it.

Internal automation

Sort incoming requests into named categories. Review ambiguous requests and check a sample of routine results before expanding the task.

Common questions

What to decide before implementation.

Which AI tool do you recommend?

Choose after comparing the same tasks in the candidate tools. A tool that writes a fluent answer may still omit a required fact. Use accuracy, correction time, and fit with your existing work as the decision criteria.

Is company data safe with AI tools?

Before using company information, check the provider’s current terms and the settings of the specific account. Establish what may be shared, who can see it, and how long it is retained. Use fictional or anonymized examples for an initial trial.

What should we bring to a first trial?

Bring one example input, an acceptable result, and the source material needed to check it. Include how often the task occurs and how long it currently takes.

Can you train our team?

Yes. Training can use your own tasks and review criteria. The aim is for the team to recognize a usable result, correct a weak one, and know when the source does not support an answer.

How long does implementation take?

Start with a small trial. Connecting other systems depends on the task, available data, and required checks. Decide whether to expand only after comparing the trial with the current way of working.

Before you add another AI tool

Ask whether AI fits the workflow.

Send one task, an example input without private information, and what a useful result would look like. Include the tools you already use. We will suggest a practical first trial.

Art Deco illustration of an AI-assisted workflow with a human hand steering the final direction