AI Integration & Automation Services
AI automation layered onto the infrastructure and software we already run for you, not a bolt-on chatbot.
Stack & Delivery
What we build on, and how it runs.
Technology stack
How an automation runs
- 1
Trigger
A form submission, an inbound call record, or a scheduled run.
- 2
Collect
The n8n workflow pulls the related records from your CRM, database, or PBX.
- 3
AI step
Summarise, classify, or draft, scoped to the one decision it is good at.
- 4
Write back
The result lands in your system of record, not in a separate tool nobody opens.
- 5
Deliver
Reported over SMTP on a schedule, or surfaced directly in your portal.
Our Approach
We layer automation onto the systems you already run rather than replacing them, so adoption does not mean re-training your whole team. Every integration starts with an honest assessment of whether AI actually helps the specific process, not a blanket rollout.
What's Included
AI Chatbots & Chatbot Integration
Chatbots for customer support and internal helpdesk, connected to the systems that actually hold the answers, and built to hand off to a human when the bot reaches its limit.
n8n Automations
Automation workflows built on n8n, connecting CRMs, databases, email, and PBX data. Self-hosted, documented, and extendable by your own team.
Workflow AI Automation
AI-assisted steps layered into existing n8n and CRM workflows: summarising, classifying, and routing instead of just moving data.
AI-Assisted Reporting
Automated summarisation and analysis of operational and call data, delivered on a schedule instead of assembled by hand.
Custom AI Integration
AI models integrated into your existing tools and portals through their APIs, scoped to the specific process they improve.
Automation Strategy
An honest assessment of which of your processes are worth automating with AI, and which are not.
Related Services
What this is usually deployed alongside.
Guides
Written by the engineers who do this work.
Cybersecurity
Reaching a private database from shared hosting without opening it
An agent portal on shared hosting needed call data from a MySQL instance on a PBX VPS. Opening that database to shared hosting was not acceptable. Here is the API proxy pattern used instead, and why it is stronger than a firewall rule.
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Claude Opus for enterprise work: start with the review queue
A capable model earns its place when it reduces the work required to approve a result. How to assess Claude Opus 5 for technical reviews, operational analysis and controlled business workflows.
Read guideAI & Automation
Claude Fable and long-running business work: the handover problem
Delegating a task that lasts hours requires more than a capable model. A practical guide to using Claude Fable 5.1 with checkpoints, durable records, budgets and accountable review.
Read guideAI & Automation
GPT-6 Astra in enterprise systems: design the tools before the prompt
Complex business work needs reliable interfaces, not just a powerful model. Where GPT-6 Astra fits, how to constrain its tools and what a production-ready handover should contain.
Read guideAI & Automation
Choosing GPT models by workload: Astra, Sol and Luna in one application
A business application rarely has one kind of AI work. Design a routing policy that gives difficult requests enough capability without sending every routine task to the same model.
Read guideAI & Automation
Claude vs GPT for enterprise integration: compare the operating contract
A model comparison is only part of an enterprise purchase. Compare Claude and GPT around the complete workload, provider route, data controls, tools, support and the cost of changing later.
Read guideTalk Through Your Requirements
We typically respond within 4–8 business hours.