02.03AI

AI automation

AI automation from Hot Rocket Software, a team of software, website and digital marketing specialists based in the UK, with 19 years in IT. Automate repetitive admin with AI: sorting emails, processing documents, updating systems and drafting replies, with a person in the loop where it matters.

INPUTMODELREVIEWHUMAN IN THE LOOP02.03 AI AUTOMATION

02.03.0

What is AI automation?

AI automation takes repetitive, rules-plus-judgement work off your team: reading and sorting incoming email, pulling data out of documents, updating your CRM or accounts, chasing, and drafting replies for a person to approve. We automate the parts that are safe to automate, keep people on the decisions, bring it in gradually so your team stays in control, and measure the hours saved. Setting up automation like this is routine work for us, and once it is live a real person on our team looks after it.

See where AI automation fits in our work →

02.03.1

Who is it for?

  • Admin-heavy teams in professional services, trades and healthcare
  • Businesses where one or two people are buried in inbox triage
  • Operations teams moving data between systems by hand

02.03.2

From a small business to a large organisation

The same team takes on a single tool for a small business and long-running work for large companies and the public sector. Here is what each end looks like.

For a small business

One weekly job, such as sorting emails or re-typing invoices, done for you, with you approving anything that matters.

For large companies and the public sector

Automation of high-volume processes across teams, with approvals, audit trails and exception handling built in.

  • Document and correspondence processing
  • Back-office workflow automation
  • Human-in-the-loop review queues
  • Measured roll-out across departments

How we work with enterprise and the public sector →

02.03.3

What you get

  1. 01A process map showing what is automated and what stays human
  2. 02The automation, running on your systems or ours
  3. 03An approvals step for anything customer-facing or financial
  4. 04A dashboard of volumes, time saved and exceptions
  5. 05Documentation of the logic, for audit and handover

02.03.4

How we approach it

  1. Discover

    Time the task as it is today. That is the baseline.

  2. Scope

    Decide what is automated, approved, or left alone.

  3. Build

    Automation with logging and an approvals step.

  4. Launch

    Run in shadow mode first, then hand over gradually.

  5. Support

    Review exceptions monthly and improve.

02.03.5

Typical stack

  • TypeScript
  • Python
  • LLM APIs
  • Queues
  • Your existing SaaS APIs

02.03.6

Questions

Will AI automation replace staff?

No, and that is not what we build it for. We bring automation in gradually to support the people you already have: fewer hours on copying and sorting, more on customers and judgement. You talk to real people on our team throughout, never an AI.

What if the AI gets it wrong?

Anything that matters goes to a person to approve, and every action is logged. We start in shadow mode, where the AI suggests and a person decides, until accuracy is proven.

How do we know it is worth it?

We measure the task before and after. Use the automation ROI calculator for a first estimate.

02.03.7

What could this look like for you?

Example ideas, not client case studies.

More ideas we can build →

T+99Next step

Talk it through with us

A free 30-minute first chat, with no obligation. Tell us what is getting in the way; we tell you honestly what we would do, roughly what it would take, and whether it is worth doing at all.