Farseer Brings AI‑Powered Finance to the UK and North America

Farseer, a platform that unites data, modeling and reporting for finance teams, has moved its services into the UK and North America. The company also unveiled a new AI feature called AI Analyst, which lets users ask questions in everyday language and receive answers that come straight from a verified financial model. The AI tool does not create numbers on its own. Instead, it pulls calculations from Farseer’s core model, Rama, and then explains the results in plain text. Because every figure is traced back to the original data, users can trust that the answers are accurate and not fabricated by generic AI systems. AI Analyst works inside familiar messaging apps such as Slack, Microsoft Teams and WhatsApp. It can explore topics like performance trends, price‑volume relationships, profitability across dimensions, and differences between actuals, budgets and forecasts. The system remains read‑only, showing which variables fed into each answer.

Beyond the new AI layer, Farseer’s platform speeds up traditional finance work. Teams can launch forecast cycles, load and reconcile data from ERP or CRM systems, assign responsibilities and set deadlines in minutes instead of weeks. Reporters say the system cuts planning time by half and can automate up to 90 % of manual tasks, freeing leaders to focus on strategy. The company also achieved certification from the International Business Communication Standards (IBCS), now aligned with ISO 24896. This marks Farseer as one of only a few platforms that can produce standardized, board‑ready financial reports with consistent terminology. Looking ahead, the next version of AI Analyst will help users move from analysis to action. Planned features include automated report generation, budgeting workflow management and deeper integration with the IBCS framework—all while keeping explanations clear and traceable. Farseer’s approach addresses a common pain point: finance teams often juggle multiple spreadsheets and systems, leading to inconsistent reporting. By letting the model do the math and the AI provide reasoning, the platform delivers reliable answers that can be defended to CFOs, auditors and boards alike.

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