Industries we support
Enterprise AI
(Applied Intelligence)
From pilots to profit—AI that ships value at scale.
Enterprise AI
Enterprise AI is the scaled, secure use of AI across an organisation—built on trusted data, integrated with core systems (ERP/CRM), governed for risk and compliance, and engineered for repeatable value. It combines a shared data & MLOps foundation, reusable models and copilots, and change management so teams can embed AI in everyday workflows—and measure impact in real time.
Smarter reservoir models sharpen well placement and drilling decisions, cutting non-productive time and boosting recovery. Predictive maintenance shields rotating equipment and flowlines; computer vision strengthens HSE with leak, spill, and PPE detection. Emissions analytics pinpoint flaring and methane hotspots. Optimisation improves lift, routing, and trading. Outcome: safer operations, lower lifting costs, cleaner barrels, and clearer compliance reporting.
Predictive models lift OEE with maintenance before failure, while machine vision catches defects in-line. Dynamic schedulers rebalance work to real-time demand; digital twins de-risk line changes and tune parameters. Energy and yield analytics trim waste across shifts. Net result: fewer stoppages, faster changeovers, consistent quality, and a data-driven factory that scales safely across sites and suppliers.
Sharper demand signals drive pricing, promotions, and assortment that grow margin while reducing stockouts. Real-time replenishment and allocation right-size inventory by store and channel. Personalisation engines lift conversion and basket size; computer vision protects on-shelf availability and reduces shrink. Workforce optimisation aligns labour to traffic patterns. Result: faster turns, happier customers, and resilient omnichannel operations.
Utilities
Granular load forecasts, outage predictions, and risk-based asset are essential for extending the life and reliability of our networks. By advanced control algorithms, we can balance supply, storage, and distributed energy resourcesDERs) in real time, ensuring optimal performance. Vision-assisted vegetation management and anomaly detection significantly both technical and commercial losses, enhancing efficiency. Furthermore, leveraging customer intelligence allows us to streamline services, collections, and tariff design, resulting in a more customer-centric approach. The cumulative benefits of these strategies include smoother integration of renewable energy, improved metrics such as SAIDISAIFI, and robust regulatory performance, all contributing to measurable reductions in cost-serve. Through these innovations, we are not only our infrastructure but also fostering a more sustainable energy future.
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FEATURED CAPABILITIES
Knowledge Management Chatbots
The use of retrieval augmented generation and other GenAI capabilities to provide staff with a natural language interface that analyses, retrieves, and summarises internal process documentation and protocols, such as accounting and compliance policies.
Automated Invoice Processing
​The application of task-specific AI programs for the execution of multiple tasks within the invoice management process, such as data entry, exception handling, and determining correct accounting codes for transactions.
Investor Relations Analysis
Use of GenAI and machine learning to identify investor sentiments based on the analysis of earnings call transcripts, news sources, and social media, predict likely questions within investor meeting, and recommend preferred communication approaches and language.
Anomaly and Error Detection
AI features within existing company journal, ledger, and other systems monitor payments and transactions to detect and notify staff of anomalies and errors indicative of manual data entry mistakes, duplication or potential fraud.
Cash Flow Forecasting
Machine learning models analyse past business performance, customer behaviors and economic factors to predict future cash inflows and outflows, both at the customer-specific level and at a more aggregated business and enterprise level.
Account & Competitive Intelligence
AI/ML recommends curated content about prospects/customers based on current news feeds, website scraping, review sites and competitive positioning.
