GPR Technology
GPR TechnologyGPR Technology

Automation Examples

Real patterns, described in plain language: how the work was handled before, what runs automatically now, and exactly which pieces were built.

  • Home
  • Automation Examples
Examples

What changes, concretely

These are representative patterns rather than named case studies. Client details stay confidential, but the structure of each build is described exactly as it was delivered.

Lead follow-up

Enquiry answered in under a minute, at any hour

Before

Website enquiries were checked twice a day. Evening and weekend enquiries waited until the next working morning, and a second follow-up happened only when someone remembered.

After

Every enquiry now receives a specific reply within a minute, is summarised and assigned to an owner with a deadline, and enters a short follow-up sequence that stops the moment the person replies.

  • Form and inbox unified into one intake
  • Enquiry summarised and scored
  • Owner assigned with escalation timer
  • Three-step follow-up, auto-stopped on reply
Customer service

The same forty questions, answered without a person

Before

Two staff members answered the same routine questions about availability, delivery and process across email and chat, between their actual work.

After

An assistant answers the approved question set instantly on both channels, drafts replies for the rest, and escalates anything sensitive with the full history attached.

  • Knowledge base from existing replies
  • Assistant live on website and email
  • Mandatory handover list for sensitive topics
  • Monthly report of unanswered questions
Documents

Supplier invoices that file themselves

Before

Invoices arrived as email attachments. Someone opened each one, typed several fields into a spreadsheet, renamed the file and moved it to a folder.

After

Attachments are detected on arrival, fields extracted and validated, the spreadsheet updated, and the file named and stored to a fixed convention. Only failed validations reach a person.

  • Attachment detection and extraction
  • Totals and duplicate validation
  • Automatic naming and filing
  • Short exception queue for review
Internal knowledge

One person stopped being the bottleneck

Before

Procedures, price rules and policy details lived with one long-serving employee, who was interrupted many times a day and was a single point of failure.

After

An internal assistant answers from the documented procedures, with a source shown for every answer, and the gaps report shows exactly which procedures still need writing down.

  • Procedures collected and structured
  • Internal assistant with source citations
  • Gap report driving documentation
  • Explicit out-of-scope topic list
Email

A shared inbox that arrives pre-sorted

Before

A shared inbox received several hundred messages a week with no structure. Everyone read everything, and threads were picked up cold with no context.

After

Mail is categorised, prioritised and routed on arrival, long threads carry a summary, and recurring message types have a draft reply waiting for a human to check and send.

  • Category and priority rules from real mail
  • Routing to owners by message type
  • Thread summaries at the top
  • Draft replies for recurring types
Marketing

Past customers contacted at the right moment

Before

Past customers heard nothing after the job was finished. Reactivation happened only when work was quiet, in one large untargeted send.

After

A clean segmented list drives event-triggered messages - completion, anniversary, lapse - with drafts prepared for approval and reporting tied to resulting enquiries.

  • List deduplicated with consent recorded
  • Three event triggers instead of broadcasts
  • Drafts prepared for approval
  • Reporting on enquiries, not just opens
Reading these honestly

What these examples do not promise

Every example above worked because the underlying process was frequent, rule-based and supported by data that could be cleaned. Change any of those conditions and the result changes with it.

We have also retired automations that were not worth keeping. That is a normal outcome, not a failure - and it is much cheaper to discover in a four-week first project than in a year-long programme.

Conditions that made these work

  • The task happened at least weekly, usually daily
  • The decision rules could be written down and tested
  • A mistake was recoverable rather than expensive
  • The source data could be cleaned to a usable state
  • One person had authority to approve the content
Solutions

The services behind these examples

Support

AI for Customer Service

Answer common questions instantly, route the rest to the right person, and stop losing messages between inbox, chat and social.

Explore this service
Sales

Lead Follow-Up Automation

React to every enquiry within minutes, keep following up until someone replies, and stop losing deals to a forgotten inbox.

Explore this service
Inbox

Email Automation

Sort, summarise and draft the inbox automatically, and send the routine messages your business owes people without anyone typing them.

Explore this service
Assistants

AI Chat Assistants

Assistants that answer from your own documented knowledge - on your website, in your messaging apps, or internally for your own team.

Explore this service
Documents

Document & Data Automation

Pull the data out of invoices, forms and PDFs, file them properly, and stop retyping the same information between systems.

Explore this service
Marketing

Marketing Automation

Keep in touch with past customers and slow leads consistently, without a marketing department and without turning into a spam machine.

Explore this service

Want to know what this would look like for your process?

Send us a short description of how the work is handled today. We will map it and tell you honestly whether automating it is worth the effort.