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AI-Native Executive Intelligence Platform

AI that actually understands your business.

ManagedAnalytics Helm is an executive intelligence platform for asset-intensive businesses, built on a live digital twin.
AI analysts, dashboards, reporting, scenarios and extensible modules all run on the same model, sharing data and business logic.

Request a briefing See reasoning in practice
helm.managedanalytics.ai
FIG.01 - Understanding variances with the AI Analyst, on real operating data.
One modelAcross AI, dashboards and apps
Shared business logicAcross every workflow
Open architectureExtensible by design
One view of the businessOperational and financial views, across the value chain
Built for the businesses where the model matters most
Mining | Energy | Utilities | Infrastructure | Heavy Manufacturing
The problem

Dashboards describe performance. Executives need answers about causes, constraints and trade-offs.

  • 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 struggles too, because warehouses store tables, not how the business actually works.

Most enterprise AI today is reasoning over a document dump.
We built the model first.
The shift

Two architectures for AI on enterprise data. Only one is built for reasoning.

A · WAREHOUSE + SEMANTIC LAYER

Adding business labels to a data warehouse.

Snowflake, Databricks, Microsoft Fabric, dbt and the BI tools define KPIs, glossaries and semantic models over warehouse data. They define KPIs, glossaries, semantic models. The result is a layer of definitions over a layer of storage.

Descriptive. Hard to reason over. Expensive and difficult to maintain.
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 and rules. Then AI reasons over that model.

That makes the answers causal, not just descriptive. The system can explain what changed, what is binding, what breaks under a scenario and which initiatives are moving which drivers.

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.
6–8wks
Time to deploy

From kickoff to first live use case, measured in weeks, not quarters.

Legacy twin programmes take quarters and often stop at single assets because enterprise-scale modelling was too expensive to build by hand. We use AI to help construct the twin itself, so you can stand up a live use case against real data, real processes and real decisions in 6–8 weeks.

The platform

Understand. Decide. Execute. One twin underneath.

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

PILLAR 01

Understand

Live performance, explained by the model.

Variance, value drivers, and AI causal explanations grounded in the twin.

  • Query based analytics
  • Causal variance explanations
  • Strategic baseline diagnostics
Explore the pillar PILLAR 02

Decide

Strategy and decisions, tested against a live model.

Strategy alignment, scenario modelling, and decision support - running against the live twin.

  • Monitor Strategy Alignment
  • Evaluate scenarios & run simulations
  • Test hypotheses against a live model
Explore the pillar PILLAR 03

Execute

Strategy turned into measurable work.

Initiatives, accountability, and value tracking. Auditable value, not asserted value.

  • Initiative & portfolio management
  • Benefits tracking and value attribution
  • Management reporting automation
Explore the pillar
Industries

Built to support any business. Proven in complex operating environments.

Helm can support decision making in any type of business, having built deep capabilities for sectors where physical operations, capital, constraints and value chains determine performance.

01 Mining & Metals Lighthouse vertical. Pit-to-port modelled as one twin. Read more →
02 Oil, Gas & Energy Upstream, midstream, integrated. Briefing available
03 Utilities & Renewables Generation, transmission, distribution, retail. Briefing available
04 Infrastructure Ports, rail, water, airports. Briefing available
05 Heavy Manufacturing Steel, chemicals, cement, pulp & paper. Briefing available

Not seeing your industry here? Helm can be adapted wherever better business reasoning is needed. If you want to explore a solution for your industry, we'd like to work with you.

Talk to us about your industry
Outcomes

What changes when you run the business from the model.

6–8 weeks
To first live use case
Board pack, MBR diagnostics or transformation tracking live inside the same quarter you start.
5×
Faster twin construction
Faster twin construction than legacy modelling approaches. Configure the model, do not re-architect the stack.
Traceable
Provenance by design
Every AI output links back to source data and twin lineage. Ready for board, audit and regulator scrutiny.
See it on your data

Run the business from the model.

If your business needs more than descriptive dashboards, we will show you what twin-grounded AI looks like on your own data and in your own operating context.

Request a briefing Read the positioning paper