You do not need to understand AI to make a good decision about it. We help you identify useful opportunities, choose suitable tools, and teach your team how to use them in their daily work.
Plan your AI adoptionAI strategy is a plan for where and how your business should use artificial intelligence. Training gives your people the skills to put that plan into practice.
AI tools can help with work such as summarising information, preparing a first draft, or answering questions about documents. The first question is which task needs improving and whether AI is suitable for it. We review the work with your team before recommending a solution.
We identify a manageable starting point, the tools and information it needs, and how you will judge whether it helps. You receive a prioritised roadmap: a written plan that explains what to do first, what it depends on, and what can wait.
A useful tool still needs a person who knows how to guide it and check the result. Training covers giving clear instructions, checking facts and completeness, handling business information appropriately, and recognising when a task needs human judgement.
Illustrative use cases. Scope and feasibility depend on your systems and information.
If your team spends time turning notes into follow-up tasks, we can assess a tool that prepares a draft summary and action list. Training shows staff how to check names, decisions, and responsibilities before sharing it.
If staff struggle to write customer emails or first drafts, we can develop reusable instructions based on your tone and requirements. Your team learns to review and adapt each draft before it is used.
If several departments have ideas, we can compare them against their likely benefit, information quality, cost, and effort. The result is an agreed first project rather than a collection of disconnected tool subscriptions.
The proposal defines the workflows and teams we will review, the training format, and the documents included. A typical engagement can cover:
A written summary of how the work is done today, where time or quality is lost, and which steps might benefit from AI. We also identify tasks better handled by a simpler process change or conventional automation.
A shortlist of recommended opportunities with the reasoning behind each one. The plan identifies a first pilot—a small, controlled trial—and the people, information, and systems it will need.
Recommendations that account for the software you already use, who needs access, and how business information will be handled. We explain relevant subscription and usage costs so you can compare options.
Guided exercises based on agreed tasks, with examples your team can reuse. Depending on the scope, reference material can include instructions for common tasks, an output-review checklist, and guidance on information that should not be entered into a tool.
Scope, responsibilities, and success measures are agreed before implementation.
We speak with the people who own the work and review suitable examples. You explain the goals, current process, existing tools, and constraints.
We compare opportunities, discuss suitable tools, and present a plan. Together, we agree what a successful first trial would look like.
Your team practises with relevant examples. We clarify who owns the next step and whether you need a separately scoped implementation project.
You can begin with a description of the work. You do not need a technical specification or a preferred AI platform.
Involve someone who does the task regularly and someone who can approve changes. Their knowledge helps us identify practical improvements and avoid recommendations that do not fit the working day.
Share suitable examples with confidential information removed where needed. If available, bring an estimate of task volume, time spent, or common mistakes. These help establish a starting point for evaluating a trial.
Agree which teams and tasks are included. Building software, purchasing licences, and running ongoing support are separate commitments unless expressly included in the proposal.
What to consider before you choose your next step.
No. You can start by describing a task that takes too much time, a problem your team encounters regularly, or an outcome you would like to improve. For example, you might want to spend less time preparing reports or make it easier for staff to find company information.
We review how the work happens today and explain the suitable options in plain language. The assessment considers the information available, the tools you already use, and the people who will use the result. You do not need to choose an AI platform or prepare a technical specification beforehand.
Tool recommendations follow the assessment. We compare suitable options against the job they need to do, your existing software, the people who need access, and how business information will be processed. We also consider subscription costs and the effort required to introduce the tool.
Sometimes a feature in software you already use will be sufficient. In other cases, a separate tool or a connection between systems may be appropriate. If a simpler process change would address the problem, we explain that too. The recommendation gives you the reasoning and requirements so you can make an informed decision.
AI Strategy & Training focuses on understanding the opportunities, producing an adoption plan, and preparing your team. Building an automated workflow, developing an assistant, or rolling a solution out across the business is a separate piece of work unless it is explicitly included in your proposal.
Your proposal sets out the assessment, documents, training, and any pilot activities included. If implementation is recommended, we explain the next step, its dependencies, and how it would be evaluated. You can review that scope before deciding whether to proceed; an assessment does not commit you to a wider build.
Training uses agreed tasks relevant to the people attending. Your team can practise giving clear instructions, supplying appropriate background information, and reviewing the resulting draft or answer. Examples might include summarising meeting notes, preparing customer emails, or working with approved documents.
We also cover checking facts, spotting missing information, and recognising tasks that require human judgement. The proposal confirms the format, participants, and reference materials included. The aim is for staff to understand both how to use the tool and how to check its work before relying on it.
Before a trial, we agree what improvement matters and record how the task performs today. For a report-writing task, that might mean preparation time and corrections required. For training, it might mean whether staff can complete a selected task and review its output appropriately.
We then compare the trial with the original process using representative work. Time spent checking outputs, software costs, and recurring problems should be included in the evaluation. This gives you a practical basis for deciding whether to continue, adjust the approach, or stop rather than assuming that introducing AI automatically creates value.
Tell us which part of the work takes too much time or feels difficult to improve. We can help you assess the next step.