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Multi-sector AI agency

Industry solutions &
proof patterns.

Korefield maps enterprise problems - high OPEX, downtime, fraud, supply chain opacity, compliance load - to AI, automation, and data platforms you can run within your governance context. Examples below are composite illustrations for planning; we confirm metrics with your data and SLAs.

Note on examples below: Scenarios, company types, and metrics are composite illustrations of typical patterns— not a single live client file, and not a guarantee of future results. We will ground any proposal in your data, constraints, and agreed SLAs.

Flagship Product

Autonomous SME
Control Tower

Empowering growing enterprises with a decentralized "Brain" for operations. The Control Tower integrates inventory, finance, and talent management into a unified AI-driven dashboard.

check_circle Precision Inventory Tracking
check_circle Automated Financial Reconciliation
check_circle Predictive Talent Allocation
Discuss a similar workflow
Autonomous SME Control Tower - High-tech terminal interface showing real-time operational data
30% Illustrative pilot outcome
Abstract encrypted communication interface in emerald tones
High automation (illustrative) Enterprise AI

Vendor Email Automation

The Problem

A multinational energy conglomerate processed over 50,000 vendor inquiries monthly, resulting in significant delays and high operational overhead.

The Solution

Integration of an LLM-powered classification engine that identifies intent, extracts metadata, and drafts precise responses directly within the existing ERP ecosystem.

The Outcome

0 Automation rate % (illustrative)
0 Hours saved per ticket (illustrative)

Metrics reflect a composite automation scenario; actual rates depend on ticket types, policies, and ERP integration depth.

IDP · high-accuracy target (illustrative) Vision-AI

Intelligent Document Processing

The Problem

Legacy manual extraction of complex engineering schematics and regulatory compliance documents led to a 12% margin of error in safety reporting.

The Solution

Custom Vision-AI and OCR pipelines that ingest non-standardized PDFs, converting unstructured visual data into machine-readable knowledge graphs for real-time safety auditing.

The Outcome

~0.1% Error margin (illustrative)
Processing speed (illustrative)

Figures are representative of a composite IDP programme; your error and throughput depend on document mix and review workflow.

Microchip with flowing data streams and blueprint overlays
Power lines at twilight with grid efficiency overlay
Efficiency gain (illustrative) Edge Computing

Operational Intelligence

The Problem

Unpredictable load fluctuations and aging infrastructure caused frequent localized blackouts and inefficient energy distribution during peak demand.

The Solution

Deployment of edge-computing predictive models that analyze thousands of real-time sensor streams to autonomously balance grid loads and predict failure points.

The Outcome

~22% Uptime / reliability lift (illustrative)
$14M Indicative savings (illustrative)

Savings and reliability figures are scenario placeholders for planning discussions—not a forecast for your network without a full assessment.

Ready to transform your operations?

Explore how Korefield’s sovereign-by-design AI and integration patterns can align with your governance and ROI targets—starting from a scoped technical conversation.

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