AurelithAI automation that does the groundwork. You keep the decisions.
In short
Aurelith provides AI automation services for operating companies in Greece and Europe. Each automation it designs and builds reads, compares and prepares work across the tools you already use (email, documents, CRM and ERP), then stops for a person to approve every decision that matters. It is part of Level 02, Custom AI Solutions.
- Free first conversation
- Proposal before any commitment
- Support with no end date
Business first. Intelligence at every level.
What does AI automation mean in practice?
Fixed rules handle the predictable steps. AI handles the steps that need reading and judgement. People make the decisions.
AI automation hands the steps that fixed rules cannot handle to AI: reading documents and emails, comparing options, drafting replies and dealing with the exceptions.
Conventional automation still runs the predictable steps, such as moving a record or sending a notification. AI takes on the work in between, the part your team does today by reading, checking and writing.
Aurelith builds every automation approval-first: the AI prepares and moves the work, and a person approves every decision that matters before anything irreversible happens. An AI agent is a related idea, software with one responsibility that chooses its own next step within set limits. Aurelith builds both and recommends which fits once it understands the workflow.
| Question | Rules-based automation or RPA | AI automation, approval-first | AI agent |
|---|---|---|---|
| What it handles | Structured data and steps that never change | Documents, emails and exceptions, alongside the structured steps | One open-ended responsibility, using the tools it is given |
| How the work moves | A fixed sequence of if-then rules | A designed sequence in which AI does the reading, comparing and drafting | The agent chooses its next step within set limits |
| Best for | High-volume tasks that are always the same | Recurring workflows whose inputs vary | Work whose path differs from case to case |
| Where people decide | When an input breaks the rules | At every decision that matters, before anything irreversible | At the edge of its permissions, and wherever you require approval |
Go deeperGuide: AI automation vs RPA, and what to automate first Guide: AI agents for business Custom AI agents
What are typical starting points for AI automation?
Six workflows that recur in most operating companies. In each one the AI does the groundwork and a person keeps the decision.
- 01
Incoming documents and forms
AI doesReads each document, extracts the fields, checks them against your rules and routes the case to the right person.
Person approvesEvery case the checks flag, and anything that commits money or a promise.
- 02
Supplier and quote comparison
AI doesReads every offer, lines up prices, terms and differences, and drafts a recommendation with the evidence.
Person approvesThe choice of supplier and anything sent back to them.
- 03
Email triage with drafted replies
AI doesSorts incoming email by topic and urgency, finds the context and drafts a reply.
Person approvesEach reply before it leaves the company.
- 04
CRM updates and follow-ups
AI doesKeeps client records current from emails and call notes, and prepares the next follow-up.
Person approvesChanges to key accounts and every message to a client.
- 05
Reports and summaries
AI doesGathers figures and updates from your systems and drafts the report or the weekly summary.
Person approvesThe conclusions, and anything shared outside the team.
- 06
Internal requests and approvals
AI doesCollects each request, checks it against your policy and sends it to the right owner with a short summary.
Person approvesThe request itself, with the full context in front of them.
One workflow, four steps, one human signature.
A supplier comparison, step by step. The AI does the first three steps. The fourth is yours, and nothing irreversible happens before it.
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01AI
Read the documents
Extracts what matters from the offers, emails and specifications.
-
02AI
Compare the options
Lines up prices, terms and differences against your criteria.
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03AI
Draft the summary
Brings the evidence together in a recommendation you can check.
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04Person
Human approval
You approve, change or reject the recommendation. Only then does the work move on.
After approval, the automation carries the decision forward: it updates the record, sends the approved reply or prepares the order.
Built on the tools you already use.
Aurelith connects each automation to the systems your people already work in, so the work moves between them and nobody has to change where they work.
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Email
Reads incoming messages and attachments. Sends a reply only once a person has approved it.
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Documents
Reads offers, contracts, invoices and forms where your team already keeps them.
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CRM
Keeps client records and follow-ups current, so the next conversation starts with the full picture.
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ERP
Reads orders, stock and product data, and writes back only what a person has approved.
When a process needs its own screen, such as a review queue or an internal portal, Aurelith builds that interface too. It is part of the same level, Custom AI Solutions.
Custom AI agents and softwareWhat is approval-first automation?
Approval-first automation is how Aurelith builds every automation: four controls decide what it may do and when a person steps in.
An automation design in which AI prepares and moves the work, and a person approves every decision that matters before anything irreversible happens.
Scope grows only after it is proven
An automation starts with a narrow job and a person on every decision that matters. Its scope grows only after it has proved reliable in real conditions, and only when you decide.
At Level 03 the same principle becomes earned autonomy: in Company Brain, AI agents receive authority action by action, only when evidence shows they are reliable, always under human authority.
- 01
Permissions
Each automation reads and writes only what its job needs, in the systems you approve.
- 02
Approval points
You decide which steps need a person’s sign-off. Anything irreversible waits for one.
- 03
Visibility and records
Your team can see what the automation read, what it prepared and who approved it.
- 04
Escalation
When a case is unclear or out of bounds, it goes to the right person instead of being guessed.
Go deeperHow Company Brain governs AI agents
When is AI automation the wrong answer?
Part of Aurelith’s analysis is deciding what should not be automated. These are the usual reasons to leave a workflow as it is, or to fix something else first.
A simple rule or a better form already solves it
If the steps never vary, conventional automation or a clearer form costs less and is easier to maintain.
The data is not ready
If the information is missing, unreliable or not yours to use for this purpose, sort that out before anything is automated.
Nobody owns the workflow
An automation needs a person who answers for the outcome and approves its decisions. Without one, it drifts.
The work is rare or different every time
If it happens a few times a year or never the same way twice, setting it up costs more than it saves.
What does an AI automation project give you?
Every AI automation project with Aurelith delivers these five things. The exact scope and deliverables are set out in your written proposal, agreed before anything is built.
The payoff is attention: your people stop re-reading, re-typing and chasing, and keep their time for the decisions only they can make.
- 01
A working automation
Built around the workflow you chose and connected to the tools your people already use, such as email, documents, CRM and ERP.
- 02
The approval points you chose
Your team decides which steps need a person’s sign-off, and anything irreversible waits for one.
- 03
A record you can check
Your team can see what the automation read, what it prepared and who approved it.
- 04
A team that knows how to use it
Aurelith tests the automation in real conditions, refines it and guides your people as it becomes part of everyday work.
- 05
Support with no end date
Aurelith stays by your side, so the automation keeps paying off as your business changes.
What happens after the first conversation?
The same six steps for every Aurelith service. Nothing is built until the proposal is agreed.
First conversation
Free. You tell us what should work better, and we ask about the workflow, the tools and the people involved.
Analysis of your business
We study your processes, your tools and the way your people work, so the proposal fits the business.
Proposal
Service level, scope, deliverables, timeline and investment, in writing and agreed before implementation begins.
Build together
We build with your team, share progress as we go and work your feedback in.
Put it to work
We test in real conditions, refine, and guide your people as the automation becomes part of everyday work.
Support with no end date
We stay by your side, so the automation keeps paying off as your business changes.
One of three levels, each building on the last.
AI automation sits at Level 02, Custom AI Solutions. You can start at any level; the first conversation decides where.
The three levels, side by side, with what each one includes.
All AI servicesBefore you automate.
Scope and pricing across all three levels are covered on Services. Anything else, ask us in a free first conversation.
What is AI automation?
AI automation uses AI models for the steps of a business process that fixed rules cannot handle, such as reading documents and emails, comparing options and drafting replies, while conventional automation runs the predictable steps. Aurelith builds AI automations approval-first: the AI prepares and moves the work, and a person approves every decision that matters before anything irreversible happens.
Does Aurelith use rules-based automation or RPA as well?
Yes, where rules are enough. Aurelith uses rules for the predictable steps and AI where the work needs reading or judgement, and keeps a person on every decision that matters. The full comparison of RPA, workflow automation, AI automation and AI agents is in the guide AI automation vs RPA.
Which business processes are good candidates for AI automation?
Good candidates recur often, follow a recognisable pattern, involve reading or preparing documents, emails or records, and have a clear owner who can approve the outcome. Typical starting points are incoming documents and forms, supplier and quote comparison, email triage with drafted replies, CRM updates and follow-ups, reports and summaries, and internal requests and approvals. The guide What to automate first gives a seven-question checklist.
Does AI automation replace our CRM, ERP or other systems?
No. An AI automation works alongside your CRM, ERP, email and document storage: it reads from them, prepares the work and writes back only what a person has approved. Your systems remain the record, and the automation moves the work between them.
How do people stay in control of automated decisions?
Through approval-first design. Each automation has only the permissions its job needs, a person approves every decision that matters before anything irreversible happens, your team can see what was prepared and who approved it, and unclear cases go to the right person. The scope grows only after the automation has proved reliable in real conditions.
How much does AI automation cost?
Aurelith has no public price list. The first conversation is free, and the investment is set out in a written proposal after an analysis of your business. For an automation it depends mainly on the number of systems to connect, the volume of exceptions, how the approvals are designed and whether your people need their own interface. More on scope and pricing.
How long does it take to put an automation to work?
An automation’s timeline is part of your proposal and is agreed before any work begins. Aurelith recommends starting with one valuable workflow, testing it in real conditions with your team and widening the scope once it has proved itself, so the first automation is working before the next one is planned. More on scope and timing.
AI automation / Start here
Which workflow would you hand over first?
Bring one workflow to a free first conversation. We will look at it with you and say plainly whether AI automation is the right answer.
No public price list. Scope, timeline and investment are set out in your proposal.