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A Temyro example website. Fluxion is a fictional company; the texts, prices and photos are for demonstration.

Fluxion

AI automation · agents · data pipelines

Your systems, connected in a single flow.

Fluxion builds automations that read, classify and move information between CRM, ERP, e-mail and documents. An AI agent runs the repetitive steps; a person approves the decisions that matter.

Try the demo How it works
Network of glowing teal and amber nodes joined by thin threads, on a dark background
  • CRMcustomers and quotes
  • ERPorders and stock
  • E-mailrequests and confirmations
  • Documentsinvoices and contracts
  • AI agentreads, decides, acts

How it works

A flow has three moments.

Scroll: the panel on the right follows the step you are reading. Every automation we deliver has this same structure, whatever systems are involved.

  1. 01

    Input

    A flow starts with an event: a new e-mail, an order appearing in the ERP, a document dropped into a folder. Fluxion listens only to the sources you choose and takes strictly the fields it needs, with minimal access rights.

    • E-mail and web forms
    • Orders, invoices, delivery notes
    • Scanned documents or PDFs
  2. 02

    Processing

    The agent reads the content, classifies it and extracts the useful fields: customer, amount, due date, product. Every decision gets a confidence score; below the threshold we agree on, the case goes to a person, with the context already prepared.

    • Classification by type and urgency
    • Structured field extraction
    • Confidence score and human review
  3. 03

    Action

    The result lands in the right system: a task in the CRM, a confirmed order in the ERP, a drafted e-mail reply that a colleague sends. Everything stays in the log, with the source, the decision and the moment.

    • Writes to CRM and ERP through APIs
    • Drafted replies, never sent automatically
    • Log, alerts and run reports

Conceptual demo

Compose a flow and watch what happens.

Tick the sources and pick an action; the page draws the resulting flow and the log of a simulated run. Nothing here connects to a real system.

Input sources

Conceptual demo: the numbers are generated in your browser and come from no system at all.

  • New orders
  • Incoming invoices
  • Customer e-mails
AI agent
  1. Read
  2. Classify
  3. Extract
  4. Review
ActionCreate tasks in the CRM

Run log

  1. Press “Run the simulation” to generate a log.

Transparent

What is real and what is concept.

We keep a clear line between what we deliver in projects and what we show here as illustration. If a feature is not in the left column, we do not promise it.

Implemented and verified before hand-over

Real capabilities, delivered in projects

  • API integrations with CRM, ERP and e-mail, with separate read and write permissions
  • Classification and data extraction from e-mails and documents, with a confidence score per field
  • Configurable rules and human review for cases below the threshold
  • Complete run log, error alerts and monthly reports
  • Hosting in your own infrastructure or in the cloud, following your data policy

Illustrations, not product features

Conceptual demonstrations, on this page

  • The particle network in the first screen is an animation, not a map of connected systems
  • The flow simulation generates numbers in the browser; it reads nothing from outside
  • An “autonomous” agent that decides alone in every case does not exist; important decisions stay with people
  • The use cases below are scenarios, not measurements from projects

Use cases

Three typical flows.

Scenarios built on situations common in small and mid-sized companies. The figures are indicative and only show the order of magnitude.

Transparent pipes carrying glowing dots between glass cubes on a dark surface

  1. 01Orders received by e-mail

    Situation
    B2B customers send orders as free text or as an attached PDF; someone retypes them into the ERP, with errors in codes and quantities.
    The flow
    The e-mail is classified as an order, products and quantities are extracted and matched against the catalogue, then the order appears in the ERP as “pending” until an operator confirms it.
    Demo outcome
    In a scenario with 40 orders a day, the operator confirms instead of typing; code mismatches are flagged before delivery.
    • E-mail
    • ERP
    • Human review

  2. 02Supplier invoices

    Situation
    Invoices arrive in different formats, to several addresses; the accounting team searches for them, downloads them and books them one by one.
    The flow
    Attachments are recognised, the fields (supplier, number, amount, due date) are extracted with a confidence score, and the invoices are filed in the month’s folder with a checklist for the accountant.
    Demo outcome
    In a scenario with 300 invoices a month, the accountant reviews a list instead of searching mailboxes; invoices with unclear amounts are flagged separately.
    • Documents
    • Extraction
    • Accounting

  3. 03Internal assistant for procedures

    Situation
    New colleagues ask the same questions: how to process a return, where the leave form is, who approves an expense.
    The flow
    An assistant answers from the internal procedures, cites the source document and, when it cannot find the answer, opens a request to the responsible person.
    Demo outcome
    Answers always carry a cited source; unanswered questions become proposals to complete the documentation.
    • Documents
    • AI agent
    • Internal

Contact

Describe a process that eats your time.

We reply within two working days with a sketch of the flow and what should be checked before starting.

contact@example.com · +40 7xx xxx xxx (demo details)

You have just seen an example website built by Temyro. Fluxion does not exist; everything above is a demonstration. A website like this is made for your business, with its own texts, photos and colours.