AI Workflow Automation · The Stack
Stand up the infrastructure your AI actually runs on.
The cloud infrastructure, automation, and productivity tooling behind everything else: Google Cloud, a GitHub org, CI/CD, an n8n automation platform, and the AI productivity tools your team uses daily, administered so they are reliable and governed.
Book an initial consultation Start with an AI Readiness Audit
Everyone wants AI, but where does it actually run, deploy, and integrate?
AI assistants and agents need somewhere to live: cloud infrastructure, source control, deployment pipelines, an automation backbone, and administered productivity tools. Without that foundation, every build is a one-off held together by an individual's laptop. This package stands up the stack so your AI work is reliable, repeatable, and owned by the organization.
What's included
Cloud infrastructure
Google Cloud set up and administered as the foundation your AI workloads, data access, and services run on.
Source control and CI/CD
A GitHub organization and CI/CD pipelines, so what you build is versioned, reviewed, and deployed reliably instead of by hand.
n8n automation platform
An n8n automation platform stood up as the backbone for connecting systems and running scheduled and event-driven flows.
AI productivity tools
The AI productivity tools your team uses every day, configured and administered with the right access and guardrails.
How it works
- 1
Stand up the cloud
We set up and administer Google Cloud and the source-control organization as the foundation.
- 2
Build the pipelines
We wire CI/CD and stand up the n8n automation platform as the connective backbone.
- 3
Enable the team
We configure and administer the AI productivity tools your team uses daily.
What you walk away with
- Google Cloud infrastructure set up and administered
- A GitHub org and CI/CD pipelines for reliable delivery
- An n8n automation platform as the integration backbone
- Administered AI productivity tools with the right guardrails
Frequently asked
- Do we need this before assistants or agents?
- Often, yes. Assistants and agents need somewhere governed to run and deploy. The AI Readiness Audit will tell you whether the stack is a prerequisite for your priority use cases or can come alongside them.
- We already use AWS or Azure. Does that matter?
- We build on Google Cloud by default, where our delivery is deepest, but we are practical about your existing estate and will administer the tooling that fits your environment.
Give your AI a foundation to run on
Book a consultation to stand up the cloud, pipelines, and automation backbone your AI work depends on.
Book an initial consultation Start with an AI Readiness Audit
Where this leads next
Workflow Automation
Use the n8n backbone to automate a real bottleneck with an LLM as a step in the flow.
Explore the packageEnterprise LLM Foundation
Give the organization governed access to the enterprise LLMs your tools and agents will use.
Explore the packageBrowse the full AI Workflow Automation program
The tool stack is the foundation under the agentic stack. See how it connects to assistants, workflows, agents, and orchestration.