A clear view of where AI helps your business, and where it does not.
We look at how your business really works, rank the places where AI could help by effort and risk, and give you a plan you can act on. Where a tool is not worth it, we say so.
Every recommendation names the evidence behind it and what would show it was wrong. Your data is not put into any AI service without your written approval.
- Starts with
- An AI Readiness Assessment, from $2,500, fixed scope
- Format
- A written report and a readout call
- Advisory
- Optional, from $2,500 a month, minimum term 3 months
- Your data
- Never put into an AI service without your written approval
- Credit
- The assessment fee counts toward a follow-on service started within 30 days
- Led by
- A senior AI strategist
The case for a clear AI plan
AI can save real time on ordinary work, and it can also waste money, make confident mistakes and expose private data. Most businesses have heard both stories and do not know which applies to them. A short, independent assessment answers that before you spend.
A clear place to start
You get use cases ranked by benefit, effort and risk, so the first money goes where it has the best chance to pay.
Fewer expensive experiments
A data and privacy check comes before any tool sees customer or staff data. Mistakes are cheaper to find on paper than in production.
Independent advice
We take no vendor commission. The tool comparison is based on your tasks, not on who pays us.
A pilot that teaches you something
The plan includes one small pilot with a measure agreed in advance, so the result is a decision to stop, adjust or widen, not an opinion.
Is this you?
- Staff already use AI tools and you have no rule for them.
- A vendor has pitched you an AI tool and you cannot judge it.
- You suspect AI could save time but do not know where.
- You hold customer, health or financial data.
- You want a plan before you hire or buy.
Compared with the other ways
Each of these can be right. Here is what they leave out.
- Do nothing yet
- Safe in the short term. Staff may adopt tools anyway, without any rule about data.
- Let staff experiment
- Cheap and quick to learn from. Hard to compare, and private data can leak.
- Buy what a vendor pitches
- Quick, and the advice comes from someone who sells it. You may buy more than you need.
- Our AI Consultancy
- A fixed-scope assessment with a written report and a readout call. We promise no savings, and building what is recommended is Workflow Automation or Custom Software Development.
From AI curiosity to a plan you can defend.
Most AI projects start with a tool and look for a problem. We start with the work, the data and the risks, then choose the tool.
How the work really runs
We talk to the people who do the work and look at the tasks that repeat, wait or go wrong.
- Interviews with the people who do the work
- A list of repeated, slow and error-prone tasks
- The tools and data already in use
- What your team already tried with AI
A ranked list of use cases
We turn ideas into a short list, each with the benefit, the effort, the risk and how we would check it worked.
- Each use case with benefit, effort and risk
- What would show it works, and what would show it does not
- Quick wins separated from larger projects
- Ideas we recommend against, with the reason
Data, privacy and risk
We check what data each use case needs and where it would go before anything is tried.
- Which data is personal, confidential or regulated
- Where each tool stores and uses what you give it
- What a person must always review
- Plain-English rules for your team
The right tool, or none
We compare options on cost, fit and risk, and tell you when a simpler tool, or no tool, does the job.
- A comparison of two or three options for each use case
- Running costs, not just the first price
- What each option needs from your team
- No commission from any vendor
A pilot with a finish line
We design a small pilot with a start, an end and a measure, so you learn before you commit.
- One pilot, one team, one measure
- A start date, an end date and a decision rule
- A baseline measured before the pilot starts
- Build support under Workflow Automation or Custom Software Development
Your team, ready to use it
Tools only help when people use them well, so we train the team and write down the rules.
- A working session for the people who will use it
- A short written guide with examples from your own work
- Rules for what may and may not be shared with a tool
- A review after the pilot
Examples of the questions we answer.
These are examples of the shape of the work. They are not client projects and they are not results.
Can AI answer our customer emails?
A support team spends hours on the same ten questions.
- Look at: which questions repeat and which need judgement
- Likely advice: draft replies for a person to approve, not automatic sending
- Check: time to first reply and corrections made by staff
Is it safe to put our documents into an AI tool?
A firm holds client contracts and wants faster summaries.
- Look at: what the documents contain and what the tool does with them
- Likely advice: which documents may go in, which may not, and under what terms
- Check: a written rule your team follows
Which of three tools should we buy?
A team has three vendor demos and no way to compare them.
- Look at: your real tasks run through each option
- Likely advice: a ranked comparison with running costs
- Check: the same test, scored the same way, for each tool
Where should we start with AI?
A leadership team wants a plan, not a pile of ideas.
- Look at: where the team loses time and where mistakes cost most
- Likely advice: one pilot, one measure, one owner
- Check: a decision to continue or stop at the end of the pilot
How an AI engagement runs.
Each stage needs your approval before the next one starts.
Brief and access
We agree the question, who to talk to and what data we may see.
Assessment
We study the work, the data and the risks, and rank the use cases.
Written report and call
You get a written report and a readout call, with the evidence behind each recommendation.
Pilot or advisory
You choose: act on it yourself, ask us for advisory by the month, or have us build the pilot.
Every engagement ends with a Delivery Record.
It is the proof that comes with the work: what we agreed, what we delivered, how it was checked, what you own and what we recommend next. You sign it off, or tell us what is missing.
You get it with the written report, at the readout call.
In this service it covers
- The recommendations, each with the evidence behind it.
- What we tested, how it was scored, and what we did not test.
- What we agreed at the readout call, and the next step if you want one.
What a typical engagement costs.
These are the prices and terms from this page, set out as one sheet. Your own scope is agreed in a written proposal before any work starts.
AI Consultancy
- Assessment
- AI Readiness Assessment, from $2,500, fixed scope
- You receive
- A written report and a readout call
- Credit
- The fee counts toward a follow-on service started within 30 days
- Advisory
- Optional, from $2,500 a month
- Term
- Advisory has a minimum term of 3 months
- Your data
- Not put into any AI service without your written approval
- Approval
- Scope waits for your approvalNothing starts until you agree the scope.
Example summary. Prices are in US dollars plus any taxes that apply. Your written proposal fixes the final price.
What is and is not included.
Here is where the service starts and where it stops.
What is covered
- An AI Readiness Assessment with a fixed scope
- A ranked list of use cases with benefit, effort and risk
- A review of data, privacy and risk for each use case
- A comparison of tools and vendors, with no commission
- A pilot plan with a measure and a decision rule
- A working session and written rules for your team
- Optional advisory from $2,500 a month
What is not included
- Any promise of savings, revenue or hours saved
- Putting your data into an AI service without your written approval
- Building the pilot, which is Workflow Automation or Custom Software Development
- Legal, compliance or regulatory advice
- Reselling tools or taking a commission from vendors
Common questions
What is an AI Readiness Assessment?
A fixed-scope review of how your business works, with a ranked list of AI use cases, a data and privacy check, a tool comparison and a pilot plan. You get a written report and a readout call.
Will AI save me money?
We do not promise savings. We measure your current process, estimate the effort and risk, and design a pilot that shows whether it helps in your business.
What happens to my data?
We only use what you give us for your engagement, and we do not put it into any AI service without your written approval. The report names where each tool would store and use your data.
Do you recommend specific tools?
Yes, with the reasons and the running costs. We take no commission from any vendor, and we tell you when a simpler tool, or none, does the job.
Can you build what you recommend?
Yes, under Workflow Automation or Custom Software Development, with their own scope and price. You can also take the report to anyone else.
Do I need technical staff?
No. The report is written for owners and managers, in plain English. Where a technical step is needed, we say who could do it.
Tell us what you need.
Tell us where you think AI could help and what data or systems are involved. A website address helps but is optional. We reply from a person and agree the scope in a written proposal before any work starts.
Services that work with this one.
Each service can be bought on its own. These connect to it, so the work fits together.
Not sure where AI fits?
Tell us what your team does all day and what you have already tried. We will reply with a scoped proposal.