Intelligence & Automation
Business Automation
We automate the work your team does by hand: moving data between systems, processing documents, chasing approvals, and the repetitive knowledge work AI agents can now handle reliably.
Connecting your tools and removing the manual steps in between.
- Hours of manual work gone every week
- Data that moves itself between systems
- Fewer copy-paste errors, cleaner audit trail
The problem
Your team re-types the same data into three systems, every single day.
Automation pays back fastest on work that is repetitive, rule-based and dull: copying data between systems, filing documents, chasing approvals, building the weekly report. We map the process as it really runs, remove the steps that need not exist, and automate what remains.
Some work involves reading messy documents or emails. Language models can now do that reading, with a person checking whatever the system is unsure about. We build it with logs, so you can see what was done and why.
What you receive
What a project produces.
A map of the current process
The process written down step by step, with who does what and where the time goes.
Automated workflows
Triggers, data movement and approvals that run without manual work.
Document and email processing
Fields extracted from invoices, forms and messages, with a review queue for uncertain cases.
Integrations
Connections between your systems, using their APIs rather than screen scraping wherever possible.
An audit trail
A record of every automated action, so an outcome can be traced back to its cause.
Runbook and alerts
Notifications when a workflow fails, and instructions for fixing or restarting it.
How we approach it
The positions we take.
Fix the process first
Automating a broken process only makes its mistakes faster. We remove pointless steps before automating the rest.
Prefer plain APIs and rules
Where a rule or a direct integration does the job, we use it. Language models are kept for work that needs reading and judgement.
Design for failure
Systems go down and inputs arrive malformed. Every workflow has retries, a queue for exceptions and an alert.
How it runs
Four steps, from the first call to hand-over.
1
Map the process
We watch the work as it is done and write down every step, exception and system involved. The map shows where automation pays back.
2
Design the workflow
You approve which steps are automated, which stay manual, and what happens when something does not fit.
3
Build and run in parallel
The automation runs beside the manual process for a period, and we compare results before anything relies on it.
4
Switch over
Once the results match, the manual steps stop. You receive documentation, alerts and a clear way to request changes.
Is it a fit
When we are the right people, and when we are not.
A good fit
- The same steps are repeated many times a week.
- Data is typed again into a second or third system.
- You can describe the rules people follow today.
Another route is better when
- The process happens rarely, or differently every time.
- You want to remove human oversight from decisions with legal or financial risk.
- The systems involved have no API and forbid automated access.
What we ask on the first call
- Which task takes the most staff time?
- How many times a week does it happen?
- Which systems are involved, and can they be reached by API?
- What are the exceptions, and who handles them?
- What does a mistake cost?
Questions
About Business Automation.
Something missing? Write to [email protected] and an engineer will answer.
Do you use tools like Zapier or Make, or write code?
Either. For simple flows a hosted automation tool is quicker and cheaper for you to run. Where volume, security or logic goes beyond it, we write code. We recommend one or the other on the first call.
What happens when an automation breaks?
It raises an alert and the item goes to an exceptions queue for a person to handle. Nothing is dropped silently.
Can it read our emails and PDFs?
Yes, with a review queue for anything it is unsure of. Accuracy is measured on your real documents before go-live.
Will this replace my staff?
The aim is to free their time from repetitive work. Decisions about staffing are yours; we build the workflows.
Describe what you need.
Describe the problem in plain language. An engineer reads every inquiry and replies within one business day, with a written scope and fixed price before you commit to anything.
- Reply
- Within one business day
- First call
- Free, no commitment
- Confidentiality
- NDA on request, before you share anything
- [email protected]