Oxford Economics Launched Business Foresight AI Agent
The firm introduced a new conversational tool designed to help organizations quantify economic impacts on revenue.
Updated on Sept. 24, 2026 in Economics — General
Live Poll
Do you trust AI-driven tools to accurately forecast business revenue for your company?
Oxford Economics has released AskOE Business Foresight, an AI-powered agent that enables businesses to link economic indicators directly to company performance. The platform allows users to refine market assumptions and test various forecasting scenarios using a conversational interface.
Why it matters
The tool aims to provide organizations with a faster and more reliable method for measuring the impact of shifting economic conditions on their revenue. By automating the connection between macroeconomic data and corporate results, it assists executives in making informed planning decisions.
The platform leverages Oxford Economics' proprietary data covering 200 countries, 100 industrial sectors, and 8,000 cities and regions. The extent of the tool's integration with third-party enterprise resource planning software remains under investigation.
The players
Oxford Economics
This global advisory firm provides macroeconomic forecasting and quantitative analysis to organizations across more than 200 countries.
The details
AskOE Business Foresight operates by allowing users to input specific assumptions and market exposures through natural language processing. The agent identifies the markets and indicators most relevant to historical performance, allowing teams to test multiple forecasting approaches in real-time.
Timeline
Oxford Economics introduced the initial AskOE platform in 2024.
The new AskOE Business Foresight agent was launched on September 24, 2026.
Macro View
This release follows the launch of the original AskOE platform in 2024, representing an evolution from standard data delivery to interactive, AI-driven decision support. It reflects the broader trend of economic firms integrating conversational AI to bridge the gap between global macroeconomic trends and firm-level strategic planning.
Business leaders and finance teams can use the platform to better anticipate revenue volatility caused by regional or industrial economic shifts. This may lead to more agile budget adjustments and potentially more stable financial planning for companies operating across multiple global markets.
The takeaway
Organizations looking to improve their forecasting accuracy should focus on aligning their internal data with broader macroeconomic indicators. Using conversational AI agents can significantly reduce the time spent on manual sensitivity analysis during the budget planning process.
Further reading
For more information on the current state of economic forecasting technology, visit the /economics/economics-general/ section.
Source note: This article includes information reported by Oxford Economics.
Live Poll
Do you trust AI-driven tools to accurately forecast business revenue for your company?
