The AI AdoptionFree AI pre-audit 
Two businesses.
One clearer
working day.
Company spending, team communication and the knowledge from a day of meetings, brought into a workspace the founder can use.
See how the work connectsReconstructed interface · Fictional data · Tap to enlarge
The starting point
Too much context to carry in one person’s head.
Matthew was closely involved in building both businesses. Employee messages, client conversations, purchases and meetings all needed attention. The difficulty was keeping the useful information together and turning it into the next action.
A receipt is useful when it belongs to the right job.
Capture the purchase, ask for the missing context and keep the record available to the team.
One purchase.
Its context stays with it.
The amount, supplier and date come from the receipt. The person supplies the company and job. The shared sheet keeps the entry and its supporting photo together.
No company supplied? The entry stays in Unassigned for follow-up.
Interfaces reconstructed from the actual workflow recording. People, suppliers, addresses, dates, amounts and messages are fictional.
The person on site sends a photo and confirms the context. The office gets a record it can use, with the source receipt attached.
Purchase details and receipt photos needed manual collection and follow-up before the team could use them.
Receipt recognition and automation capture the information and prepare the shared record. Missing job context is asked for explicitly.
The receipt provides the starting information for the entry.
The company, job and supporting photo stay connected.
An incomplete entry remains something to resolve.
Prepare the picture.
Let the person decide.
Working with Fernando to bring purchase orders and reporting information into a clearer review.
Purchase orders arrived by email, with missing details and follow-up mixed into the day's work. We built a Claude Team workspace with Fernando to help prepare the review. He checks the jobs and approvals in Tradify.
If your week starts by hunting through emails and invoices, AI can prepare the comparison. Your team can focus on the missing evidence and the decisions.
Search across emails, collect the documents and rebuild the current job picture.
Start from prepared information and spend the review on gaps, exceptions and decisions.
Built around the way Matthew actually works.
We improved the assets he already had and connected the recurring work around them. The aim was to give his AI workspace useful business context, from communication to company spending.
The next task starts with the business context.
Company instructions, working files and retained meeting knowledge belong in the workspace the team uses.
Start a client reply or an internal task with the relevant business context already available. The person still checks the answer and confirms what has changed.
The useful detail from meetings was difficult to carry into a busy day of execution.
Important conversations feed the knowledge available to the AI workspace, giving the next task a better starting point.