Datastreams
    How Datastreams works

    Tell us what should happen.
    We turn it into a running operation.

    Start with the information that arrives, the rules your organisation follows and the result you need. Datastreams turns that agreement into a controlled data process and keeps the underlying runtime working.

    Begin with one recurring process. Your team does not need to assemble a data platform first.

    A business expert and implementation specialist arrange, test and approve the elements of a reusable governed stream.
    Describe, test and approve the operationBusiness experts and implementation teams turn sources, context, rules, actions and evidence into one reusable configuration.

    One understandable description

    Five questions describe the complete business process.

    Business owners define the intent. Datastreams keeps that intent connected to the executable configuration and runtime evidence.

    01

    What comes in

    The order, payment, customer signal, document or other information that starts the process.

    02

    What it means

    The person, product, permission and current situation needed to understand it.

    03

    What must happen

    The checks, deterministic business rules, exceptions and decisions that apply.

    04

    Where the result goes

    The system, person or approved AI that receives the answer or may take the next action.

    05

    What stays visible

    The active version, applied rule, result and evidence needed to explain what happened.

    A visible route to production

    Prepare, check and publish without an invisible shortcut.

    Every change follows the same controlled lifecycle, whether a person writes the proposal or AI helps prepare it.

    1. 01

      Prepare

      Turn the agreed process into a readable, versioned proposal.

    2. 02

      Validate

      Check structure, references and representative examples.

    3. 03

      Preview

      Inspect planned changes before the selected runtime target is changed.

    4. 04

      Approve

      Record the responsible person's decision and authority.

    5. 05

      Publish

      Activate the approved configuration in the selected environment.

    6. 06

      Verify

      Inspect runtime status, outcomes and evidence.

    The same lifecycle applies when a stream contains personal data. Purpose, identity, consent, authority, retention and evidence simply become explicit parts of the operation.

    AI-supported authoring

    Let AI help with the conversation while people retain production authority.

    An agent can translate examples and business language into a proposal. It uses the same validation and review route as a human operator and cannot grant itself permission to publish.

    Explain the need

    Describe normal cases, exceptions, people, services and required outcomes.

    Review the proposal

    See incoming data, context, rules, destinations and intended changes together.

    Approve the operation

    Validate and preview first; publish only with the credentials and authority your organisation assigns.

    Technical tooling: CLI, MCP and VS Code

    Where to begin

    Choose one recurring operation that matters every day.

    A small first stream makes the agreement, runtime behaviour and measurable operating value concrete.

    Customer activity

    Connect web, app, server and service events to consent, context and permitted destinations.

    Transactions and risk

    Evaluate payments, orders and ledger instructions while they move.

    Operational exceptions

    Reject, repair or escalate incomplete, late and inconsistent events.

    Network delivery

    Serve applications, partners and agents from the same governed definition.