Intelligent document processing
Invoices, statements, forms and PDFs read by AI and turned into rows in your system. Anything it can't read clearly is flagged for a person. One project we've worked on is a PDF bank-statement converter.
AI automation services for the work your team does by hand
Reading documents, sorting the inbox, copying data between tools, writing first drafts. AI does that step inside your own tools, and your team checks anything that matters.
Book a free 30-minute call
You'll talk to Usama, who writes the code.
What we automate first
Inbox sorting and first replies
Emails sorted, tagged and sent to the right person, with a draft reply ready to check and send.
A knowledge base over your own files
Staff ask in plain words and get an answer from your policies, price lists or past jobs, with a link to the document.
Weekly reports in plain words
Numbers pulled from your tools and written up as a short summary, so nobody builds the report by hand.
The re-typing step
Wherever someone copies details from one tool into another, AI does the copy and a person approves it.
One workflow, before and after
A typical pattern, not a client result.
Before
Someone opens each supplier PDF, types the totals into a spreadsheet and emails the team when a number looks wrong.
After
AI reads each PDF as it arrives, fills the row, and flags any total it isn't sure of. The person who used to type now checks the flagged rows.
How it works with your team
- AI drafts, a person approves. You choose which steps need a check.
- Every answer shows its source, so your team can see why.
- Low-confidence cases are marked and left for a person.
- It lives where your team already works: your inbox, CRM, admin panel or chat tool.
- Any manager can switch it off.
What the research says
In a preregistered experiment, 453 college-educated professionals did writing tasks and half were given ChatGPT.
“The average time taken decreased by 40% and output quality rose by 18%.”
Figures from published research, linked. These are not Samisoftz results.
Read more research on the benefits of AIWhat we need from you
- One person who owns the workflow and can say what "right" looks like.
- Read-only access to the tools involved, to start.
- A set of past examples: documents, emails or records the AI will be tested on.
Projects we've worked on
We don't name clients. Each build is described with the client's details removed.
- 6,000+ active users on an AI SaaS we worked on
- A PDF bank-statement converter
- A video clipping tool
- A live shopping app
- A luxury car hire site
Your code, your accounts
All source code goes into your GitHub. It runs in your accounts, and the AI model account is in your name. You approve each milestone before the next one starts. Nothing is held in our accounts, so there's no lock-in.
Questions people ask
What internal work is a good first fit?
Work that follows the same steps every time, happens often, and has a clear right answer: reading documents, sorting messages, filling records, writing first drafts. Work that needs judgement every time is a poor first fit.
Are these AI agents?
Some are. An AI agent prepares the next step on its own, such as filling a record or drafting a reply. We keep a person on any step where a mistake would cost you, so it works like a careful assistant, not an autopilot.
Will it make mistakes?
Sometimes, which is why we test it on your own past examples before it goes live and keep a person on any step where a mistake would cost you. You see the test results before you sign off.
Can it use our private files without sending them everywhere?
It reads only the files and folders you choose, through an AI account in your name. The data note lists exactly what it can see.
Do our people need training?
A short handover session, which we record. Most of the time the AI shows up inside a tool they already use, so there's little new to learn.
We use Microsoft 365 or Google Workspace. Does that matter?
No. Both can be connected. We'll check what your plan allows on the call.
Do you work as an AI automation consultant, or build it too?
Both. We map one workflow with you first, the way an AI automation consultant would, then write the code, test it on your past examples and hand it over.
Can you build it in n8n, Make or Zapier?
Yes, if one of them does the job. The flow runs in your account, and we write custom code only where the tool runs out.
Which task does your team do by hand every day?
Bring it to a free 30-minute call. We'll tell you if AI should do it.
You'll talk to Usama, who'd build it.
30 minutes · no slides · a written answer if it's not a fit