// 10 BUILD
AI Automation
Automate repetitive work with AI — with data privacy and access control designed in.
Automate repetitive work (lead handling, reporting, customer support, document processing) with AI — with data privacy and access control designed in.
What's included
- Lead handling automation
- Reporting automation
- Customer support automation
- Document processing automation
- Data privacy and access control designed into every workflow
Our methodology
- 1Data-flow mapping: before automating anything, we map exactly what data moves where, and who or what can access it.
- 2Privacy-first design: automations are built with access control and data minimisation designed in, so each step only sees the data it actually needs.
- 3Build and test: the automation is built and tested against real or realistic scenarios, including how it fails, not just how it succeeds.
- 4Handover: your team is trained on how the automation works and how to adjust it, rather than left with a black box.
What you get
- Working automation workflow
- Documented data flow and access controls
- Handover and training for your team
What to expect
- Repetitive work such as lead handling, reporting, support or document processing running reliably without manual effort.
- A documented data flow showing exactly what the automation can see and do.
- A team that understands and can maintain the automation, rather than depending on us indefinitely.
Limitations
Honest scope, not a sales pitch — here's what this service doesn't cover.
- Automation quality depends on the clarity and consistency of the process being automated — a poorly-defined manual process needs to be clarified first.
- AI-based automations can make mistakes on edge cases; we design for human review of high-stakes decisions rather than full autonomy by default.
- This service covers the automation and its access controls; it does not include a broader security review of your existing systems (see Vulnerability Assessment).
FAQ
Will our data be used to train someone else's AI model?
We design workflows to avoid sending your data to model providers in ways that could be used for training, and we document exactly which third-party services, if any, are involved so you can make an informed call.
What if the AI gets something wrong?
We build in human review for anything high-stakes, such as sending an email or approving a document, rather than letting automation act fully unsupervised by default.
Can you automate a process that isn't well documented yet?
Usually we need to document and agree the process first — automating an unclear process just automates the confusion.
// PROCESS
How this engagement works
- // 01
Free consultation
30 minutes to understand your setup and concerns.
- // 02
Scoped proposal
Fixed scope, fixed price, clear timeline. NDA signed before any access.
- // 03
Build & test
We build the automation with privacy and access control designed in from the start.
- // 04
Launch & handover
Go live with documentation your team can actually use.
Authorisation & safety
Every engagement starts with a signed NDA before we get access to your systems or data. We follow secure coding and data-handling practices throughout, and any security testing of what we build — code review, pre-launch penetration testing — is scoped and agreed with you in advance.
// FROM THE BLOG
Further reading
Agentic AI Browsers: The New Prompt-Injection Attack Surface Businesses Are Ignoring
ChatGPT Atlas, Perplexity Comet, and other AI browsers can click, fill forms, and shop with your credentials. Here is how attackers are already hijacking them — and what to actually do about it.
AI Security Risks Every Business Should Understand
Adopting AI tools introduces a specific set of security risks — prompt injection, data leakage, and unsanctioned "shadow AI" use — distinct from traditional software risk. Here is what actually matters.
Ready to talk through your scope?
Book a free consultation. No obligation, no pressure.