AI Development

AI Business Process Automation

Automate the processes that defeated rule-based tools.

Typical timeline: 2-3 weeks for a process audit, then 6-12 weeks per process automated
Category: AI Development
Engagement: Fixed-scope phases
You receive: Code, data & documentation

Traditional automation needs clean, predictable inputs — which is why so many processes were never automated. AI changes what is automatable by handling unstructured input and routine judgement. We identify which of your processes now qualify, and which still genuinely need a person.

The problem

The processes that consume the most time are the ones tools could never handle

Rule-based automation works when inputs arrive in a fixed format. Real business inputs are emails in no particular structure, photographs of documents, voice notes and inconsistent spreadsheets. So the costliest processes stay manual, and the automation project that was supposed to fix them quietly stalled.

You will recognise this if

An earlier automation attempt failed because real-world inputs did not match the rules
Processes are manual specifically because they need reading, classifying or summarising
Work volume has grown but the team has not, and quality is slipping
Nobody can say how long each step of the process actually takes

What you get out of it

The difference this makes

Unstructured input becomes workable

Emails, documents, images and messages are classified and converted into structured data your systems can act on.

Measured before and after

We baseline current handling time and error rate, so the improvement is a number you can see rather than a claim.

Automate the right part

Mechanical steps are automated and judgement steps are kept with people, which is why these projects succeed where blanket automation fails.

Exceptions are visible

Anything the system cannot handle confidently surfaces in a queue instead of failing silently.

What we build

Process audit identifying automation candidates with estimated time saved
Classification and routing of unstructured inbound work
Data extraction into your existing systems
Drafted responses and documents for human approval
Exception queues with clear ownership
Integration across email, WhatsApp, forms, spreadsheets and databases
Before-and-after measurement dashboard
Staged rollout: shadow mode, then assisted, then automated

How it gets used

A trading company handling enquiry-to-quotation

Enquiries arriving by email and WhatsApp are read, classified, matched to catalogue items and turned into draft quotations for a salesperson to review and send.

An insurance intermediary processing claim documents

Submitted documents are checked for completeness, extracted, validated against the policy, and only incomplete or unusual cases reach a human assessor.

A manufacturer handling vendor correspondence

Supplier emails about dispatch, delays and quality are classified and routed to the right person, with the relevant purchase order attached automatically.

Technology we typically use

You do not need to care about this list — but your next developer will.

Claude API
Python with FastAPI
n8n
PostgreSQL
Message queues
Existing system APIs

Timeline: Typically 2-3 weeks for a process audit, then 6-12 weeks per process automated

Questions

AI Business Process Automation — common questions

Something else on your mind? Ask us directly — it is usually faster than reading.

Where should we start?

With one process that is high volume, well understood and low risk if a mistake is caught. That gives a measurable result in weeks and builds the internal confidence needed for anything larger. We would rather prove the approach on something modest than begin with your most critical workflow.

Do you charge for the process audit separately?

Yes, as a small fixed-fee engagement, because it has standalone value: you receive a written assessment of which processes are worth automating, the estimated effort and the expected saving — including, where applicable, the recommendation not to automate.

What if AI is not the right answer for our process?

Then we will tell you. A good number of processes are better served by a database and a form than by a model. Our interest is in automation you keep using, not in deploying AI for its own sake.

Businesses that need this often need one of these as well.

AI Agent DevelopmentAssistants that complete multi-step work, not just answer questions.Document Intelligence & Data ExtractionTurn invoices, forms and purchase orders into structured data automatically.n8n Workflow DevelopmentAutomations you own, running on your own infrastructure.API Integration ServicesMake the systems you already pay for talk to each other.

Thinking about ai business process automation?

Tell us about your situation. We will tell you whether this is the right service, what it would involve, and roughly what it would cost.

Get a free consultation