AI · SWT

AI Automation Services

Automating language-heavy business processes with review steps and measured time savings.

What is AI automation?

AI automation uses language models to handle steps in a business process that previously needed a person to read, judge or write — sorting enquiries, extracting data from documents, drafting replies, summarising conversations. It differs from traditional automation, which follows fixed rules, because it can handle unstructured input that rules cannot express.

Why this matters

Traditional automation breaks when input is messy. AI automation handles the mess but is occasionally wrong, so it belongs where a mistake is recoverable or where a person reviews before anything is final. Used that way, it removes real hours from routine work.

Processes that suit AI automation

  • Enquiries arriving through several channels that someone reads and routes manually.
  • Invoices, purchase orders or forms retyped from PDFs into a system.
  • Long email threads or calls that need summarising before handover.
  • Repetitive first-draft writing such as replies, descriptions or reports.

How we automate

Document the current process and time it, so the saving is provable. Automate the reading and drafting steps while keeping approval with a person where it matters. Log every automated decision so errors can be found. Start with one process, measure, then extend.

What you get

What ai automation includes

Every engagement is scoped to your situation, but these are the components the work is built from.

  • Process baselineCurrent time, volume and error rate measured before anything changes.
  • Intake and routingIncoming messages classified, prioritised and routed automatically.
  • Document extractionStructured data pulled from PDFs and forms into your systems.
  • Draft generationFirst drafts of replies and documents prepared for human approval.
  • Decision loggingEvery automated action recorded so it can be reviewed and corrected.
  • Fallback handlingDefined behaviour when the model is unavailable or confidence is low.

What changes for your business

  • Hours returned on routine reading and typing.
  • Faster first response to enquiries.
  • Consistent handling across staff and shifts.
  • An audit trail of what was automated and why.

Technology and platforms

Chosen to match how the work will actually be maintained, not by preference.

  • OpenAI API
  • Anthropic API
  • Laravel
  • Node.js
  • Queues
  • Webhooks
  • OCR
  • Vector search
Process

How the work runs

Each stage ends with something you can review, so course corrections happen early rather than at handover.

  1. Find the taskA repetitive, language-heavy process with a measurable current cost in hours.
  2. BaselineTime and error-rate measured before anything changes, so the benefit is provable.
  3. Build smallThe smallest working version, with a human review step where errors would matter.
  4. EvaluateTest against real cases, including awkward ones, and compare to the baseline.
  5. Cost and scaleModel running cost at real volume, then extend to the next process.

Industries we apply ai automation in

The technical work is often similar across sectors. What differs is what customers need to see before they act.

Pricing guidance

What drives the cost

We publish what moves the price rather than a headline figure, because the figure without the drivers is not comparable.

  • Number of processes automated
  • Integration with existing systems
  • Volume and latency requirements
  • Review tooling and logging
When comparing quotes: Automate the highest-volume repetitive process first. Automating a rare task produces an impressive demonstration and no measurable saving.
Why SWT

Why work with SWT Company

Scoped before it is quoted

We ask what the business needs before proposing work. A quote given before that conversation is a guess.

Measurement first

Tracking — including calls and WhatsApp — is verified before spend, because every later decision depends on it.

No claims we cannot support

No ranking guarantees, no invented results, no numbers we cannot evidence.

You own everything

Domain, hosting, repository, analytics and ad accounts stay in your name.

Built to be handed over

Documentation and clear structure, so you are never dependent on one supplier.

Mobile-first in practice

Designed at phone width and tested on mid-range devices over mobile data.

Projects and case studies

We publish case studies only where a client has agreed and the results can be evidenced. None are published yet, because no verified client data was supplied for this build and inventing results is not something we will do. Ask and we will arrange references in your sector directly.

AI Automation — frequently asked questions

In most of the work we see it removes steps rather than roles — the reading, sorting and first-draft writing. People keep the judgement, the exceptions and the relationships.

Accuracy varies by task and should be measured on your own data rather than assumed from a demonstration. Workflows are designed so that the remaining error rate is caught by review.

High volume, repetitive, language-heavy, and tolerant of a review step. That combination gives measurable saving with manageable risk.

Usually, where the software has an API or supports import and export. Systems with no integration path are the main constraint.

Talk to us about ai automation

Call or message for anything urgent. Otherwise the form reaches the same place.

Get a quote for ai automation

A short conversation is usually enough to establish scope, timeline and a realistic range.

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