As data complexity grows across both commercial and compliance sectors, traditional data architectures are increasingly insufficient. In our latest technical series at High Digital, we explore how tailored AI deployments are solving these enterprise bottlenecks.
1. Integrating Behavioural Analytics into CRM (Partnered with Rethink Demand) Traditional lead generation relies heavily on deterministic data. Working in partnership with Rethink Demand, we engineered the Hermes CRM to introduce a behavioural analytics layer into the sales pipeline. Hermes utilises Natural Language Processing (NLP) and sentiment analysis on unstructured professional data to calculate precise OCEAN and DISC psychographic profiling scores. Furthermore, the system employs fuzzy matching algorithms to automatically validate, synthesise, and cleanse dirty CRM data, ensuring high data integrity before auto-generating complex competitive analysis reports.
2. Automating ESG Compliance with Generative AI Aggregating siloed environmental and governance metrics into actionable insights requires significant manual effort. To resolve this, we developed ESGHub, a platform that functions as a centralised data aggregation layer with a generative AI overlay. ESGHub uses Natural Language Generation (NLG) to translate complex dashboard data arrays into highly readable, contextual narratives. It also features anomaly detection to scan historical incident datasets, flagging systemic operational patterns for compliance officers and the C-suite.
Read the full technical breakdown of these architectures on the High Digital blog. https://www.highdigital.co.uk/blog/
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