AI Automation Services
AI automation reviews how a client's business runs and automates it so it needs far less manual work. Digital Hub studies the current process first, then builds the automation around it, and judges the result against the process it replaced.
When a team spends hours each week moving the same information from one place to another, the cost is not only time. It is also the mistakes and delays that manual work brings. AI automation services replace those steps with systems built around how the business really runs.
AI automation is the work of reviewing how a client’s business runs and automating it so it needs far less manual work. It is one of the sub-services of Digital Hub’s CRM, ERP and AI Systems service. Digital Hub has an automation expert, an agent builder and a data scientist on its core team, and offers AI automation to companies whose staff spend much of their time on repeated tasks.
What problems does AI automation solve?
AI automation solves the problem of manual work that grows with the business. It helps when:
- Staff copy the same information between systems every day.
- Routine messages and confirmations are sent by hand.
- Mistakes creep in at the handoffs between people or tools.
- Growth means hiring more people only to keep up with routine tasks.
Automation removes the repeated steps so the same team can handle more work, and the work that remains is the work that needs a person.
What Digital Hub delivers in AI automation
An AI automation project starts with a review of how the business runs and ends with working automation. Depending on the project, that includes:
- A review of the current process and where manual work sits
- The automations built around that process
- Connections to the systems the process uses
- Testing against real cases, then a walkthrough so your team can run it
The result is judged against the process it replaced. Automations are built with n8n and Make, together with the OpenAI and Claude APIs where a step needs language or judgment, and the rest of the toolset is chosen per project.
Tools for AI automation
These are the tools Digital Hub uses most for automation. The rest of the toolset is chosen per project.
Automation
- n8n
- Make
AI models
- OpenAI API
- Claude API
How an AI automation project runs
The same seven-step process runs on every Digital Hub project, whatever the service. For AI automation it works like this.
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Step 1
Discovery call
We go through the project in detail, the budget and the timeline. For automation, that includes a review of how your business runs today.
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Step 2
Proposal and scope
A written proposal and a scope document, so both sides know exactly what is being built. The scope names the processes to automate and the systems they touch.
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Step 3
Milestone plan
The scope is broken into milestones, each with its own deliverable and date. Work begins on an advance of 50 to 70 percent, taken in milestones only on large projects, and the balance is paid before delivery, after your final test.
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Step 4
Build, milestone by milestone
Work is delivered one milestone at a time. Each is reviewed and signed off before the next one starts, so nothing is discovered at the end. For example, one process is automated and signed off before the next begins.
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Step 5
Testing and handover
Everything is tested, then handed over with a walkthrough so the client's own team can run it. Staff learn what is automated and what still needs a person.
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Step 6
Launch
The automation goes live and starts carrying real work.
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Step 7
Support after launch
One month on short projects, three months on long ones. Longer cover is available as a retainer.
How long does AI automation take, and what affects the cost?
AI automation typically takes 3 to 6 weeks at Digital Hub. That is the normal range, not a best case. Scope moves it: more processes, more connected systems and steps that need language or judgment make the project longer.
Digital Hub publishes no prices or packages. These factors shape the quote.
| Factor | How it changes the quote | |
|---|---|---|
| Number of processes | Each process automated needs mapping, building and testing. | — |
| Connected systems | Each system the automation reads or updates needs a connection built and tested. | — |
| Process complexity | Steps with many branches and exceptions take longer than a straight sequence. | — |
| Use of AI | Steps that need language or judgment need extra design and testing. | — |
| Monitoring | Automations that need ongoing checks are supported through a retainer. | — |
Related services
Automation often works with AI agent systems, which handle tasks that need interpretation, and a custom CRM, which holds the customer record the automation reads and updates.
Automation case study
Start an AI automation project
Tell Digital Hub how your business runs today, and you will get a written proposal and scope.
Questions
What is AI automation?
AI automation is reviewing how a business runs and replacing repeated manual steps with systems that carry them out, using AI where a step needs judgment or language. The aim is that people spend their time on decisions and customers, not on copying information between tools or chasing routine tasks.
What can be automated in a business?
Repeated steps that follow clear rules are the best candidates, such as moving data between systems, sending routine messages, preparing standard documents or sorting requests. Digital Hub starts by reviewing how your business runs and finding where manual work piles up, so the first automation targets the biggest saving.
How much manual work can automation remove?
It depends on the business and the process, and Digital Hub judges the result against the process the automation replaced. No figure is guaranteed for a new project, because the saving depends on how the work is done today.
Is AI automation the same as an AI agent?
They overlap but differ. Automation moves work through a defined process without a person touching each step. An AI agent handles tasks that need interpretation, such as answering a message. A project may use both. Digital Hub reviews the process first and then uses whichever fits each step.
How long does an AI automation project take?
AI automation typically takes 3 to 6 weeks at Digital Hub. That is the normal range, not a best case. The number of processes automated and the systems they touch move it, and the work is delivered in milestones, each reviewed and signed off before the next one starts.