Controlled AI automation for companies that need work to be clearer, safer, and easier to run.
Led by Róbert Kolesár
Founder & AI Automation Solution Architect
I build controlled AI automation systems that turn manual business work into reviewed, evidence-backed workflows.
Aureus helps companies turn scattered manual work into controlled workflows.
That means a real business process is mapped, repeated steps are automated, uncertain steps are routed to review, and the system keeps a record of what happened.
AI prepares.
People approve.
The system keeps evidence.
| Signal | Detail |
|---|---|
| Role fit | AI Automation Solution Architect |
| Core skills | AI workflow architecture, n8n workflow systems, internal tools, review boundaries, evidence/proof packs, solution architecture |
| Best-fit roles | AI Automation Solution Architect, AI Automation Engineer, Solutions Engineer, Workflow Automation Specialist, Technical Product Operations, Internal Tools / Automation Engineer |
| Review first | Offer menu, public demo flow, synthetic demo case, solution architecture, public proof showroom |
Safe CV wording is available in docs/portfolio/cv-usage.md.
| Offer | Best when | What you get |
|---|---|---|
| Automation Audit | You know work is too manual, but not what to automate first. | A process map, risk points, automation candidates, and first useful scope. |
| n8n Workflow Review | Existing workflows feel fragile or unclear. | Review notes, failure points, safety boundaries, and an improvement plan. |
| n8n Workflow Automation Build | A repeated process needs a reliable automation. | Workflow design, validation notes, approval boundaries, and handoff direction. |
| FinEcon Paid Pilot | Invoice, document, finance, or reporting work needs structure. | A source-backed document workflow direction with Pocket intake, review, bridge handoff, proof notes, and accountant-review boundaries. |
| AI Operating System Setup | Your team wants AI-assisted execution without losing control. | Scope, ownership, review, evidence, approvals, and handoff model. |
| Monthly Automation Partner | You need ongoing improvement and maintenance. | A practical monthly partnership for automation operations and delivery support. |
Open the full menu: docs/portfolio/offer-menu.md
Example: a company has manual invoice or process work spread across email, spreadsheets, folders, and memory.
manual business chaos
-> process map
-> controlled AI workflow
-> human review boundary
-> proof notes
-> next-step proposal
Open the demo: docs/portfolio/public-demo-flow.md
For one concrete fictional example, open docs/portfolio/synthetic-demo-case.md.
Each proof path has its own visual because each system explains a different business problem.
| Proof path | Visual | What it shows |
|---|---|---|
| Sales Machine |  |
sales follow-up with qualification, approval, reply handling, and reporting |
| FinEcon |  |
Pocket intake, document review, bridge handoff, proof notes, and accountant validation boundary |
| Aureus OS |  |
AI-assisted work with scope, validation, action gates, evidence, and handoff |
Open the showroom: public-proof/README.md
Most automation projects stop at "the workflow runs."
Aureus cares about the part companies actually depend on:
- who owns the next step,
- what AI may prepare,
- what a person must approve,
- what happens when something fails,
- what evidence remains,
- and whether the team can understand the system after handoff.
That is the difference between a clever demo and a working operating layer.
This profile shows architecture thinking, demo flows, proof-pack structure, case-study directions, offer boundaries, and review models.
It does not expose private implementation, real customer data, credentials, production context, or unsupported result claims. The full boundary is documented in docs/portfolio/public-boundary.md.
| If you are a... | Start here | What to look for |
|---|---|---|
| Client / partner | docs/portfolio/offer-menu.md and docs/portfolio/public-demo-flow.md | what you can buy first and how the work becomes safer |
| Technical reviewer | docs/portfolio/solution-architecture.md | system boundaries, validation, review gates, evidence, and handoff |
| Recruiter / hiring manager | docs/portfolio/capabilities.md | AI systems architecture, automation design, internal tools, and delivery discipline |
The root is intentionally clean. Supporting material lives in docs/portfolio and deeper proof packages live in public-proof.
| Page | Purpose |
|---|---|
| Offer menu | clear commercial starting points |
| Public demo flow | one simple public-safe demo |
| Synthetic demo case | fictional invoice review example |
| FinEcon source-backed status | public-safe summary of FinEcon Pocket, bridge, proof, and accounting boundaries |
| Solution architecture | technical architecture snapshot |
| Capabilities | role and capability overview |
| Pro-tier case studies | public-safe case studies across Aureus offers and project lines |
| Public boundary | what stays private |
| Review guide | review path by audience |
| CV usage | safe wording for CV, LinkedIn, and recruiter messages |
This profile does not claim customer results, production deployments, accounting correctness, tax or legal advice, trading performance, official security certification, public access to private systems, or promised revenue / ROI.
It is a public portfolio for controlled AI automation design, review boundaries, proof-safe delivery, and business process clarity.
python scripts/validate-public-portfolio.pyAureus Automation Lab turns manual business work into controlled AI-assisted workflows with review, evidence, and clear next steps.