AI-Native Executive Intelligence Platform

AI that actually understands your business.

ManagedAnalytics Helm is the executive intelligence platform for the operating enterprise — built on a live digital twin of your business. With our deepest roots in capital-intensive industries, where the model under the dashboard matters most. We make AI useful where dashboards stopped.

Liveconversation, not screenshots
Twin-groundedcausal answers, with provenance
Real datacomplex executive questions
app.managedanalytics.ai / analyst ● live
YOU
Why did EBIT drop 8% across the Pilbara operations last quarter?
AI
EBIT shortfall traced to processing recovery at Mill 3, driven by feed-grade variability over the period. Three of the seven contributing initiatives are off-track.
EBIT Δ−$28.4M
Recovery91.2%
Feed grade1.84%
Initiatives3 / 7 off
Sourced from: Mill 3 daily ops · monthly variance pack · twin v2026.4
FIG.01 — Live conversation with the AI Analyst, on real operating data.
Built for the businesses where the model matters most
Mining | Energy | Utilities | Infrastructure | Heavy Manufacturing
The problem

The BI industry has spent fifteen years getting better at what happened. The questions executives actually ask are still unanswered.

Why did margin drop in this asset class last quarter? What constraint is binding the value chain? If we approve this capital programme, where does the value show up — and when? Which initiatives are actually moving the drivers we said we would move?

Dashboards cannot answer those questions. AI bolted onto data warehouses cannot answer them either, because warehouses encode tables — not how the business actually works.

Most enterprise AI today is reasoning over a filing cabinet. We built the model first.

The shift

Two architectures for AI on enterprise data. Only one of them works.

A · WAREHOUSE + SEMANTIC LAYER

Bolting business meaning onto a data warehouse.

Snowflake, Databricks, Microsoft Fabric, dbt and the BI tools are racing to bolt business meaning onto data warehouses. They define KPIs, glossaries, semantic models. The result is a layer of definitions over a layer of storage.

— Useful for description. Inadequate for reasoning. Endless to curate.
B · MANAGEDANALYTICS DIGITAL TWIN

Modelling the business itself, then letting AI reason over the model.

We model the business itself — assets, processes, value chains, costs, drivers, constraints, rules. Then we let AI reason over the model.

AI on a twin reasons causally. It explains why something happened, what will break if a lever is pulled, which initiative is moving which driver, what the exposure is to a scenario.

+ Causal. Defensible. Audit-ready.
The Enterprise Business Twin — an integrated model of assets, processes, value chains, costs, drivers, constraints and rules. AI reasons over the twin, not over the warehouse.
FIG.02 — The Enterprise Business Twin · the foundation under everything else.
20%
The 20% claim

Of the time and effort legacy approaches need to build a digital twin.

Historically, twins were a multi-quarter, expert-led modelling exercise — confined to single assets because building them at enterprise scale was uneconomic. We use AI to construct the twin itself, collapsing months of work into weeks. The cost barrier that kept twins on the shop floor just disappeared.

The platform

Understand. Decide. Execute. One twin underneath.

The executive intelligence platform is three pillars built on a living model of your business.

Industries

Built for asset-intensive businesses.

ManagedAnalytics is purpose-built for industries where physical operations, capital, and complex value chains determine performance. Our digital twin produces the most leverage exactly where the business is most complex.

Outcomes

What changes when you run the business from the model.

6–8 wk
Time to first value
Time-to-value for the first executive use case — board pack, MBR diagnostics, or transformation tracker.
5×
Twin construction
Faster twin construction than legacy modelling approaches. Configure, don't re-architect.
Live · Auditable
Provenance by design
Every AI output traced to source data and twin lineage. Board, audit and regulator-ready.
Final CTA

Run the business from the model.

If you are a CFO, CEO, or transformation leader of an asset-intensive business — and you are tired of dashboards that stop at description — talk to us.