Business Reporter: Building A Full Agentic System From The Start

(MENAFN- EIN Presswire) How integrated data sources can support a proactive approach to agentic customer experience

LONDON, UNITED KINGDOM, September 10, 2026 /EINPresswire / -- In an article published on Business Reporter, William O'Neill, Chief Revenue Officer at Lucidya talks about how agentic systems' success depends on the wider ecosystem of data, context, signals and governance that enables them to deliver meaningful customer experiences. Gartner projects that more than 40 per cent of agentic AI projects will be cancelled by 2027, citing escalating costs, unclear business value and inadequate risk controls. The warning highlights a broader challenge. Agents can perform the tasks they are designed for, but often lack the context needed to understand the customer and are incapable of coordinating across channels or learning from signals beyond individual interactions. Relying solely on historical transaction data can compound the problem. Agents trained primarily on previous tickets, chats and complaints learn from customers only after they have experienced a problem and contacted the business. This limits their ability to identify emerging issues before they become customer-service events.

Businesses are increasingly addressing these limitations by assembling broader AI ecosystems through acquisitions, bringing together data foundations, analytics, customer signals and agent technology. Lucidya takes an integrated approach through its Agentic CX Platform, combining sensing, understanding, engagement, resolution and governance. Lucidya's agentic CX platform draws on market and customer signals across 30+ channels, including public conversations, reviews and media, enabling organisations to identify emerging sentiment and issues proactively rather than simply responding to tickets. Lucidya has also achieved ISO/IEC 42001 certification, a major building block of trustworthy agentic customer experience, demonstrating its commitment to structured AI governance.

To learn more about how to ensure that agentic customer experience projects are a success, read the article.

About Business Reporter

Business Reporter is an award-winning company producing content published on Business Reporter online hubs on Bloomberg, Fortune, USA Today, Wired, Independent, Die Welt and Business Insider Germany and Le Figaro, delivering news and analysis on issues affecting the international business community. It also hosts conferences, debates, breakfast meetings and exclusive summits.


About Lucidya

Lucidya is the agentic CX platform redefining customer experience across enterprises and public sector organizations. Its AI-native architecture ingests and analyses customer data and market signals in real time across more than 40 digital data sources. By automatically detecting intent and classifying these inputs, it orchestrates and routes workflows to AI agents that autonomously execute end-to-end resolutions, handling cases from initial contact through retention without human intervention. Trained on over a decade of proprietary data, Lucidya's Arabic NLP engine processes 17 Arabic dialects.

Business Reporter
Lyonsdown
+44 20 8349 6488
email us here

Legal Disclaimer:

EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.

You just read:

Business Reporter: Building a full agentic system from the start News Provided By Business Reporter September 10, 2026, 12:00 GMT Share This Article Distribution channels: Business & Economy, Companies, IT Industry, Technology, World & Regional

EIN Presswire's priority is author transparency. We do our best to weed out false and misleading content. The content above is the sole responsibility of the author who makes it available. If you have any complaints, kindly contact the author above.

Author Contact

MENAFN10092026003118003196ID1111650225