beyond data
    AI-ASSISTED OPERATIONAL DECISIONS

    See what needs attention. Understand your options. Make the call.

    AIS is the Automated Intelligence System built by Beyond Data. It connects operational evidence through an ontology of assets, work orders and sites, with definitions, relationships and history. It shows what needs attention, explains what is likely to happen and surfaces options with their consequences. Accountable humans decide; AIS records the evidence, rationale and outcomes.

    Is This For You?

    Honest fit, before we both commit.

    This is for you if…

    • You run a heavy asset operation: mining, transport, logistics, agriculture, or utilities, with decisions spread across sites, assets, and shifts
    • Your operations managers reconcile three spreadsheets to work out what needs attention today
    • You want AI in your operation, but only if every answer can be explained and every recommendation traced to evidence
    • You believe your team have expert knowledge, and you want to capture and compound that knowledge, so you can be more efficient year after year

    This probably isn't the right fit if…

    • You need data unification and analytics first. Start with the AgileData platform
    • You want AI that silently takes actions in your systems from day one. AIS recommends and audits; your people approve
    • Your operation runs fine on gut feel and you're not ready to change how decisions get made
    What You Get

    Four concrete deliverables.

    Your operation as navigable objects

    An ontology turns raw operational data into the things you actually run: trucks, crushers, work orders, sites. Each one carries its definition, its relationships, its trust state, and its full timeline. When someone asks "why did availability dip in May?", they click from the number straight to the objects and evidence behind it.

    AI that's grounded, not guessing

    Every AI answer and agent in AIS reads through the ontology, never around it. Semantic context means the AI knows what your terms actually mean; full decision traceback means every output can be walked back to source. Traceability makes outputs inspectable; validation and human review are still required.

    Attention and recommendations, routed to the right person

    AIS watches your operation against rules you can read and audit. When something needs attention, it reaches the person whose job it is, with the evidence and a recommended action attached. Your people approve, adjust, or reject. Thresholds are governed per site, so the system earns trust instead of crying wolf.

    Institutional memory that compounds

    Every recommendation, the reasoning behind it, the decision your expert made, and the eventual outcome is recorded in the decision ledger. Your team's judgment stops walking out the door and starts making next year's decisions faster and better than this year's.

    How it works

    The decision loop

    Perceive → Understand → Forecast → Simulate → Optimise → Decide → Act → Learn. Scope the models and integrations to the operational decision. Systems support the analysis; the accountable person owns the choice.

    1. 1

      Perceive

      Surface operational signals with source evidence and freshness.

    2. 2

      Understand

      Explain definitions, relationships and drivers.

    3. 3

      Forecast

      Estimate likely outcomes and make uncertainty visible.

    4. 4

      Simulate

      Compare scenarios and explicit assumptions.

    5. 5

      Optimise

      Quantify options against objectives and constraints.

    6. 6

      Decide

      The accountable human approves, adjusts or rejects, recording why.

    7. 7

      Act

      People execute approved actions in their systems. Record the decision and evidence.

    8. 8

      Learn

      Compare actual outcomes with expectations and review the next recommendation.

    And back to perceive, better informed than the last cycle.

    The decision owner, approval boundary and audit trail remain explicit throughout.

    Connects To

    Reads your systems where they already are.

    The agent runs on a VM inside your network and connects to your databases, your lake, and your file drops directly. Nothing is lifted into our cloud first. No raw data ever transits Beyond Data infrastructure.

    • Microsoft SQL Server
    • Azure SQL
    • Azure Synapse Analytics
    • PostgreSQL
    • MySQL
    • Microsoft Fabric
    • Google BigQuery
    • Snowflake
    • Databricks
    • Amazon Redshift
    • Delta Lake
    • Azure Data Lake Storage
    • Azure Blob Storage
    • CSV
    • Parquet
    • Secure file drop

    That's what we read today, with compatibility possible for many more such as Oracle, SAP HANA and IBM Db2.

    All product names and logos are trademarks of their respective owners. Their use here does not imply endorsement or partnership.

    How We Work

    Senior-led. Outcome-first. No scoping theatre.

    We model your first operational domain, stand up your first apps inside your environment, and switch on the loop: monitoring, recommendations, and the decision ledger. From there, each domain we add makes the next one faster.

    Managed deployment

    Typical Duration

    Senior-led, in your environment

    Engagement Model

    Senior AI consultants

    Team

    Brisbane + remote

    Delivery

    Outcomes You Can Expect

    What changes after the engagement.

    Questions answered with evidence

    In a quarterly review, "why did availability dip in May?" is answered by clicking from the metric to the objects and events behind it. No analyst queue, no reconciliation exercise.

    Problems caught before they're breakdowns

    An alert leads through an object to evidence, and an intervention pre-empts a failure. The "how did it know that?" moment is the product working as designed.

    AI your auditors and your board can live with

    Every output is grounded in governed definitions and traceable to source, and AIS runs inside your own environment, so trust doesn't depend on taking anyone's word for it.

    A business that gets smarter every year

    The decision ledger turns your experts' calls and their outcomes into a queryable operational memory. Efficiency compounds instead of resetting every time someone leaves.

    Solutions Built On This Capability

    Where this capability shows up in the field.

    Executive Decision Cockpit

    The decision, two or three credible options, and quantified consequences. Your leadership team makes the call.

    Read about this solution
    Common Questions

    Frequently asked.

    Cookie preferences

    We use essential cookies to run the site. With your permission, we also use analytics cookies to understand what content helps visitors make better data and AI decisions. Read our privacy policy.