01 / Services

AI Automation

We design agents and workflows around the tasks your team already hates, so hours come back without a six-month platform project.

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In short

What is AI automation, and when do you need an agent instead of a chatbot?

The Cubeless Company builds AI automation as production software: agents and workflows that complete a repetitive business task end to end, not a chatbot that only answers questions. A typical first engagement puts one high-frequency workflow into production in four to eight weeks, with human review on expensive steps and a log of every action. You own the code and run it in your cloud.

When to choose AI Automation versus common alternatives
AlternativeChoose it when
A chatbotPeople keep asking the same questions and the work ends when the chat ends.
An AI agentWork has to move between systems — enrich, score, update, route — without a person in the middle.
RPA / click scriptsThe path is fixed clicks in a legacy UI and no judgement is required.
First workflow
Usually live in 4–8 weeks
Who writes it
Senior engineers on our team
IP
Yours from day one
Outcomes

What this engagement moves.

Clear results we design toward from the first scoped release.

01

Fewer handoffs between tools and people

02

Clear owners for every automated path

03

Measurable time saved in the first release

What’s included

Built as a system, not a pile of tickets.

01

Workflow mapping

We pick the high-frequency work worth automating and ignore the theatre projects that only look good in a demo.

02

Agents and integrations

Drafting, routing, logging and follow-ups wired into the tools you already use, not a parallel stack.

03

Guardrails and handover

Human review where it matters, monitoring where it doesn't, and documentation your team can actually run.

How we deliver

From scoped first release to production.

01

Scope the boring work

Frequency, time cost and rule clarity, then a fixed first automation with a real outcome.

02

Build a narrow pilot

One workflow, one team, working software in weekly increments you can click on.

03

Expand what survives

Only paths that prove value get widened. Everything else stays out of the way.

AI Automation / FAQs

Questions we get asked.

What teams usually want to know before starting ai automation work with us.

AI automation is software that completes a repetitive business task end to end instead of just answering questions about it. A workflow picks up the trigger, an AI model handles the judgement step such as reading, drafting or classifying, and the result is written back into the tools your team already uses, with a human reviewing only the cases that need it.

A chatbot answers; an agent acts. A chatbot responds inside a conversation and nothing changes in your systems when the chat ends. An agent takes actions across your tools — enriching a lead, scoring it, updating the CRM and routing it — without anyone touching a keyboard. If a person is manually moving work between systems, you need an agent.

A first automation is usually live in four to eight weeks. We scope one high-frequency workflow, ship it into production for one team, and only widen coverage once it has proved the time saved. Broad, company-wide automation programmes take longer and we will schedule them in stages rather than one release.

No, not across the whole company. You need usable data in the specific place the automation will look. We scope the data work to the workflow in front of us — usually deduplicating records, filling required fields and standardising a handful of values — rather than starting with a full warehouse rebuild.

Guardrails are part of the build, not an afterthought. We put human review on the steps where an error is expensive, monitoring and alerting on the steps where it is not, and a fallback path for every case the model is not confident about. Every automated action is logged so you can audit what happened and why.