Free AI Consultation and AI Consultancy for Businesses
A practical conversation about where AI automation fits in your business.
Our free AI consultation, which we also call an AI Readiness Audit, is a conversation in which we look at how your business currently works and give you an honest view of where AI and automation could help, where they probably would not, and what a sensible first step looks like. There is no obligation to work with us afterwards.
It is aimed at owners and team leads who suspect a lot of time is going on repetitive work but are not sure what is realistic. You do not need a technical background or a prepared brief. If you can describe how a task is done today and which tools are involved, we can work from there.
We would rather tell you that a process is not ready for automation than sell you something that will not work. Sometimes the answer is to tidy your data or fix the process first, and we will say so.
A good fit when
Owners who suspect repetitive work is eating time but are unsure where to start.
Teams comparing several automation ideas and needing to rank them.
Businesses unsure whether their data and tools are ready for AI.
Anyone wanting an independent view before spending on a build.
Probably not when
Wanting a finished build or a fixed quote without discussing your processes first.
Expecting legal, compliance or data protection advice; take that from your own advisers.
Processes you are unable or unwilling to describe, even roughly.
What you get
Your current processes
We ask you to walk us through how key tasks run today: who does them, how often, in which order, and what tends to go wrong. We are looking for work that is repeated, follows rules and takes real time, and for the exceptions that make it harder than it looks. You do not need documentation. Describing it aloud is enough, and your own account of the task is more useful than a tidy flowchart.
Your tools and data
We note which systems you use for customers, orders, accounting, calendars and communication, and how information moves between them today. What matters is whether the tools offer integrations or APIs, and whether the data in them is complete and consistent enough to rely on. This often decides what is practical. If a tool is a poor fit for automation, we tell you, and sometimes the useful advice is about the tool.
Opportunities and risks
We sort tasks into those that suit automation, those better left to a person and those that need tidying first. For each promising one we consider what could go wrong: a wrong answer reaching a customer, a message sent to someone who should not receive it, personal data handled badly. We flag where compliance is involved but do not give legal advice. Decisions with money or legal weight stay with your team.
Suggested next steps
We finish with our view of where to start and why. That might be a small automation we could build, a job you could set up yourselves with an off-the-shelf tool, or a recommendation to wait until your data or process is in better shape. You decide what happens next. If you would like to work with us, any paid work would be scoped and agreed in writing separately.
Before the call
You book a slot and tell us briefly about your business and what is eating time. That is enough. We may reply with a couple of short questions, such as which tools you use and roughly how often the tasks come up, so the conversation can be practical rather than introductory. If you have examples to hand, such as an exported report, a screenshot of a spreadsheet or a typical customer email, they are useful, but sensitive material should not be sent in advance; describing it is fine.
It helps to think of two or three tasks that repeat often and feel too manual, and to have a rough idea of who does them. If several people in your team are involved, having them on the call, or asking them beforehand where time goes, tends to surface details that an owner does not see day to day. You do not need a technical background, a budget figure or a brief. We would rather start from how the work is actually done.
What we look at during the call
We look at five things. Processes: what is done, by whom, and how often. Tools: what software holds the information and whether it can be connected. Volumes: how many calls, orders, invoices or messages are involved, since a task done only occasionally rarely justifies a build. Consistency: whether the task follows rules or depends on judgement each time. Risks: what happens if the automation gets something wrong, who is affected, and what regulation applies. Together these show which ideas are worth pursuing.
We ask about failures as much as successes. Where do things get dropped, who is the bottleneck, which mistakes are costly? Problems are usually the best clue to what is worth fixing. We also ask what you have already tried, including tools that did not work out, because the reasons are informative. Throughout, we take notes on which parts of a task are mechanical and which rely on knowledge that lives in someone's head, since the second kind is harder to automate reliably.
Not everything is worth automating, and what happens afterwards
Some processes are not worth automating. Tasks that happen rarely, change every time, or depend heavily on personal judgement often cost more to automate than they save. Processes that nobody has agreed on need agreeing first. Work with poor or scattered data may need tidying before automation is reliable. Sensitive conversations are usually better left with people. We say this on the call. Telling you early is cheaper for both of us than building something that is then switched off.
Afterwards we send a written summary of what we discussed: the tasks that look promising, the ones that do not, the main risks and a suggested first step. We do not promise a fixed set of documents. You can take it to your team, act on it yourselves, or ask us to scope a build. If you do want us to build, we agree scope, ownership and terms in writing first. If not, there is no follow-up pressure.
Typical Free AI Consultation scenarios
Too much admin, unclear where to start
An owner feels the team is buried in repetitive tasks but cannot say which to tackle first. On the call, we list the tasks, see how often each occurs and how rule-based it is, and rank them. The owner leaves with a short list of candidates and a sense of which can wait.
Missed calls and slow follow-up
A business loses enquiries because calls go unanswered and follow-up is inconsistent. We look at call patterns, what callers ask and where details are recorded. The outcome may be a phone or follow-up automation, or simply a change of process. We say which we think fits and what risks, such as consent, need checking first.
Several ideas, limited resources
A team has three automation ideas from different departments and cannot fund all of them. We compare them on frequency, effort, data readiness and risk. Some may turn out to depend on cleaner data first, and one might be solved by an existing tool. The team can then choose with clearer reasoning.
Wondering whether AI is right at all
A manager has been pitched several AI products and wants an independent view. We ask what problem they are actually trying to solve, review the tools involved and say plainly whether automation is worth pursuing now. The honest answer is sometimes that it is not yet, and the summary explains why.
What is different for your team afterwards
A clear order of priorities
You know which tasks are good candidates, which can wait and what a sensible first step looks like.
An honest view of the limits
You hear which processes are not worth automating, or need tidying first, before spending anything.
A decision you can take to your team
The written summary gives you something concrete to discuss, whether or not you work with us.
How a project runs
Book a call
Tell us briefly about your business and what is taking up time. We arrange a conversation at a time that suits you.
Talk it through
We go through your processes and tools, asking practical questions and noting anything that looks like a good candidate.
Receive our view
We give you our assessment of the opportunities and limits, in plain language and without pressure to buy.
Decide what to do
If a build makes sense, we outline how it could work. If not, you still leave knowing what to prioritise.
What you receive
A conversation covering your processes, tools and pain points
A written summary of recommended automations
Priorities ranked by how practical each looks
An honest view of what is not worth automating
Notes on risks, including compliance and customer-facing ones
A suggested first step, with no obligation to work with us
Services often combined with Free AI Consultation
Frequently asked questions
Is the AI consultation really free?
Yes, the initial consultation is free and carries no obligation. If you later choose to work with us, any paid work would be scoped and agreed in writing separately, so you know what you are committing to.
What is an AI readiness audit?
It is a structured look at whether your processes, data and tools are in a state where AI automation is likely to work. It highlights sensible starting points and any groundwork, such as data clean-up, needed first.
Who is the consultation for?
Business owners and team leads who want to understand what automation could realistically do for them. It suits both people who have a specific idea and those who only know that some tasks feel too manual.
Do I need to prepare anything?
No formal preparation is needed. It helps to think of two or three tasks that repeat often and to know which tools you use. We will ask the rest during the conversation.
Will you try to sell me a build?
We will tell you where we could help, but the aim is a useful assessment. If the best option is a simple tool you can set up yourself, or waiting until your data is in better shape, we will say that.
What do I leave the call with?
You should leave with a clearer view of which tasks are good candidates, which are not, the main risks to consider and a suggested first step. We do not promise a fixed set of documents.