Service 06 · AI Agents & Automation

AI assistants that know your business – and get work done.

We build AI assistants that answer questions using your own documents and data – and can take action, such as looking up orders, processing refunds or opening support tickets. We also automate repetitive work with n8n workflows, from scheduled social media posts to data entry.

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How it works

Identify · Prototype · Secure · Launch

Step I · Identify

Scroll to build ↓

I
Identify
We find the tasks where AI and automation will save you the most time.
II
Prototype
We build a working version with your real documents and test it with you.
III
Secure
We add guardrails, access controls and logging.
IV
Launch
We deploy it to the cloud, connect it to your systems and keep an eye on it.

The challenge

The problem we solve

Your team spends hours answering the same questions and copying information between systems. Generic chatbots don't know your business – and can't actually do anything.

How we help

Answers from your own documents, not guesswork
Takes real actions: orders, refunds, support tickets
Guardrails that hide personal data and block misuse

What you get

Everything included, explained simply.

AI assistants built on Amazon Bedrock
Retrieval-augmented generation (RAG) using your own documents
Tool-calling: secure actions in your systems and databases
Guardrails for personal data redaction and prompt-injection defence
AI tool integrations with the Model Context Protocol (MCP)
Workflow automation with n8n – self-hosted or cloud
AI content automation, such as scheduled social media posts
Event-driven automation with AWS Lambda and EventBridge

Technologies

Amazon Bedrock
Amazon OpenSearch Serverless
AWS Lambda
Amazon EventBridge
Model Context Protocol (MCP)
n8n
LangChain
Terraform

Example projects

What this looks like in practice.

AI support agent on AWS

The challenge: A support team spent hours answering policy questions and handling routine refunds by hand.
What was built: An AI agent on Amazon Bedrock that reads company documents, checks orders in the database, works out refund eligibility, processes refunds and opens support tickets – with guardrails that automatically hide card numbers and personal data.
The result: A complete, tested loop from question to action, deployed to the cloud with infrastructure as code.

Amazon Bedrock
RAG
OpenSearch Serverless
AWS Lambda
EventBridge
Terraform

AI social media automation

The challenge: Posting consistently on LinkedIn took hours every week.
What was built: An n8n workflow that writes posts with GPT-4, creates matching images with DALL-E and publishes them on a schedule.
The result: A steady, consistent social presence without the daily manual effort.

n8n
GPT-4
DALL-E
Scheduling

Examples of systems our engineers have designed and built, including internal and proof-of-concept projects. Details are anonymised and no client names are shown.

Packages

Ways to get started.

AI Starter

Tailored quoteOn request

Your first AI assistant or automation.

Use-case workshop
AI assistant or n8n workflow
Guardrails for personal data
Deployed to your own cloud

Request a quote

Prices shown are starting prices. Every business is different, so we'll confirm a clear, fixed quote based on what you need before any work begins – no surprises.

Questions

AI Agents & Automation: your questions answered.

What is RAG?

Retrieval-augmented generation: the AI looks up the most relevant parts of your own documents before it answers, so its answers are based on your information.

Is my data safe?

Your documents stay in your own cloud account. Guardrails redact personal data such as card numbers and block attempts to misuse the assistant.

What is n8n?

n8n is a workflow automation tool that connects your apps and services. We can host it for you or set it up on your own server.

Can the AI make mistakes?

Any AI can. That's why we limit what it is allowed to do, test it with your real scenarios and keep a person in the loop for important decisions.

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