AI adoption and advisory
You may have one problem you think AI can solve. Or you may use AI every day and want to bring the rest of your team with you. We help you understand what is possible now, choose the right tools and put one useful pilot into people's hands.
Most conversations about AI start with curiosity. There is plenty of FOMO around, and every week brings another example of something that did not look possible a year ago.
That change has made people look at their own business differently. They bring us a slow process, a costly mistake or a job nobody likes doing and ask whether AI can take it on. Quite often it could have been solved before AI arrived. The business simply had never spoken to someone about what technology could do.
Other clients have already found value in AI themselves. Their question is how to give the same capability to a whole team without losing control of the way the business works.
Both conversations start in the same place. We bring you up to speed on what the current tools can do, where their limits sit, and how your problem fits. The technology moves quickly. You should understand the choices well enough to take part in the decision rather than having a solution handed to you.
How we work
Once everyone understands what is possible, the useful conversation is about the work itself.
We explain the current state of the tools in plain language. You will know what they are good at, what they cannot do reliably and which parts matter to the problem in front of you.
We look at how the job runs today, including the spreadsheet on the side and the steps that never made it into a procedure. This is where the real problem usually becomes clear.
We choose one step that costs time, creates errors or holds up work and solve that first. Before we build, we agree what the pilot needs to prove. A narrow pilot is easier to judge and gives the people using it a reason to trust the next change.
The first pilot teaches us how the business works. By the time it is in use, the next useful piece tends to be obvious. That is usually more valuable than spending weeks writing a roadmap before anyone has tried anything.
Choosing the tool
The decision starts with what you are trying to achieve.
Some problems suit AI. A bounded, predictable process may be faster and cheaper to solve with conventional software or an integration between systems you already use. Plenty of good solutions combine several tools.
We do not force the choice into an AI or no-AI decision. We choose the tools that fit the work, the budget and the way your people need to use the result.
A business with well-defined systems and processes can add automation or AI without designing the process as it goes. If the process is still moving, that is usually the first job.
We can help you get the work out of people's heads and into a process the business can follow. You may not need AI yet, and that is a useful answer.
Across the team
A useful personal setup needs more structure before it becomes a business-wide one.
Some business AI platforms support shared instructions, skills, approved connectors and scheduled tasks. We check what the chosen platform supports, then set those building blocks up around the way your business already works. People should not have to invent their own version of the process every time they open the tool.
Access depends on the job. Some people may only need to read information while a smaller group can publish changes. We define what data the tool may use, where a person must review the result, and which business rules everyone needs to follow. That gives working professionals room to use AI across different systems and tasks without letting the tool make up its own process.
A working example
Simone Tardent, Director of Bloom Building Consultants, had used AI to help write emails and proposals but had hit a wall trying to make it do useful work across the business. Her projects ran through Outlook, OneDrive, spreadsheets and a handwritten task list. She wanted more capacity without employing someone, but she did not have the time to build the system herself.
We started with filing and email because everything else depended on them. Together we worked out how Bloom's projects and documents needed to be organised, moved the working files into SharePoint and connected Claude to the business. From there we added inbox triage, a daily morning brief and ClickUp project tracking, then taught the system to keep each task connected to the relevant emails and project records.
About five weeks after that first working session, Simone was using the system every day. Claude was filing documents, triaging email, creating and updating project tasks and preparing work from the records already held by the business. Simone was also correcting the process as she used it and teaching it from real examples, rather than waiting for a perfect system to be designed up front.
Her assessment was simple: “My automation is a dream. I'm getting everything updated so quickly, I'm working so much more efficiently than ever, and I feel like I'm on top of all my work.”
Who it suits
A manual process often needs time to settle before AI or automation is added. You need to know that the process works before asking technology to repeat it at speed.
If that is where you are, we can help document and tighten the process first. The AI conversation can follow when it has something solid to work with.
Real projects, including the parts that took longer than expected.
How Odaptic transitioned from a manual, high-touch survey and reporting process to a scalable, self-service custom platform, delivering enhanced visuals, seamless client impersonation, and significant cost reductions.
View the project
Delivered with Knight Solutions, custom Power BI reporting turned Project One’s Procore data into sales forecasts, project financial views and clearer management decisions.
View the project
We helped Knight Solutions automate project communication by syncing task data from ClickUp to Procore, enabling efficiency and better customer experiences.
View the projectThe first conversation gives you a current view of what the tools can do and whether they belong in the job you have in mind. From there we can work through the process, choose a useful first pilot and put it in front of the people who will use it.
If you are earlier than that, we can help get the process clear first. If you are ready to roll AI across the team, we can set up the shared tools and guardrails that keep everyone working the same way. A small working test may lead into rapid prototyping, while a predictable process may fit conventional automation.
Book a meeting or send through how the work runs today. We will tell you whether AI belongs in it and what the smallest useful test would be.
