Mining engineers transforming an approved autonomous operating model into production-ready engineering packages covering AI agents, data, integrations, authority, cybersecurity, testing, and commissioning.
Talks that move

Engineering the Agentic IROC

Turning an approved autonomous operating model into buildable, testable, cybersecure engineering packages for agents, data, integrations, authority, and commissioning.
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WHY THIS "AGENTIC IROC ENGINEERING" CHALLENGE?
Agentic programs can stall between feasibility and implementation when decisions, interfaces, authority limits, fallback logic, testing, and acceptance criteria remain implicit. Detailed engineering makes those elements explicit before build begins.
Key benefits
Autonomy becomes real when every boundary is engineered

Detailed design converts operating ambition into specifications that vendors, integrators, OT teams, and operations can build, test, and govern.

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Make the system procureable

Produce packages that teams can scope, price, and deliver.

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Remove ambiguity from data

Define source, quality, latency, semantics, ownership, and failure behavior.

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Engineer authority decision by decision

Specify confidence, vetoes, escalation, and fallback.

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Test the operating model before release

Group deployment units around critical decisions and domains.

How NTT DATA helps

01
Specify the decision itself

Define objective, trigger, owner, inputs, alternatives, constraints, authority, fallback, and acceptance criteria.

Mining operations specialist defining a critical operational decision with clear objectives, triggers, ownership, inputs, alternatives, constraints, authority limits, fallback actions, and acceptance criteria in an active mine environment.
02
Engineer the data and integration layer

Design event streams, semantic models, causal context, contracts, APIs, OT gateways, lineage, latency, and resilience.

Mining engineering specialists collaborating in the field to define how operational data from mine equipment, processing systems, sensors, and enterprise platforms can be integrated into a reliable foundation for autonomous decision-making.
03
Define how agents work together

Specify responsibilities, reasoning patterns, tools, message contracts, traceability, conflict resolution, and orchestrator behavior.

Mining engineering specialists collaborating around laptops and operational plans to define how specialized AI agents coordinate decisions across mine operations, processing, maintenance, energy, supply chain, and sustainability.
04
Engineer for industrial risk

Combine cybersecurity, AI functional safety, simulation, adversarial scenarios, human factors, and staged authority release.

Top-down view of mining engineering and operations specialists collaboratively assessing industrial risks around a mine plan, considering cybersecurity, AI safety, simulation, adversarial scenarios, human factors, and controlled autonomy.
05
Make delivery executable

We don’t leave teams with an architecture diagram. We produce work packages, interface documents, test plans, commissioning sequences, cost baselines, and schedule baselines.

Mining engineering team working together in the field to translate an autonomous operating design into detailed plans, documentation, testing activities, commissioning steps, cost estimates, and delivery schedules.
Mining engineering and operations professionals reviewing implementation plans and operational evidence together at an active mine site, representing an autonomous operating model that has been fully specified, bounded, tested, and prepared for delivery.
Proven impact
Specified. Bounded. Testable. Ready to build.
Results that matter
Engineering turns an autonomous operating concept into a release-ready delivery system.
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Connected requirements to evidence

Decisions trace to interfaces, authority, and acceptance tests.

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Bounded agent authority

Explicit limits govern confidence, vetoes, escalation, and fallback.

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Made interfaces testable

Semantics, latency, lineage, and failure behavior are defined.

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Prepared commissioning for release

Build, test, cutover, rollback, training, and handover become executable packages.

Move beyond architecture into something teams can build, test, and commission.

Turn autonomous operating intent into production-ready engineering.

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