Product

Chat With Your Data: What Natural Language MI Means for Advice Firms

Imagine asking your back office a question in plain English and getting a chart back. That's what AI-powered management information looks like.

February 16, 2026
5 min read

Management information in financial advice has always been painful. You either get the pre-built reports your back office provides — which never quite answer the question you're actually asking — or you export data to spreadsheets and wrestle with formulas for hours. Most firms we speak to have given up on MI entirely. They know the data is in there somewhere, but extracting it requires either technical skills they don't have or support requests that take weeks and come back with "we can't do that." What if you could just ask? Not build a report. Not configure a dashboard. Not export to Excel. Just type a question in plain English and get an answer. "How many new clients did we onboard in Q1?" "What's our average revenue per client in the pension transfer category?" "Show me a chart of AUM growth over the last 12 months." "Which adviser has the highest conversion rate from lead to client?" This is what natural language MI means. Your firm's data, interrogated through conversation rather than configuration. And because the AI understands the structure of your data — client records, transactions, tasks, communications, documents — it can answer questions that span multiple domains. Questions your current system would say are impossible. We're building this with generative UI, which means the AI doesn't just give you a text answer — it can produce charts, tables, and visual summaries on the fly. Ask for a comparison and you get a bar chart. Ask for a trend and you get a line graph. Ask for a breakdown and you get a pie chart. All generated in real-time from your actual data. This might sound underwhelming on paper. "It answers questions about my data." But consider what this replaces: weeks of waiting for custom reports, evenings spent in spreadsheets, decisions made on gut feeling because the data was too hard to access. When your data is a conversation away, you make better decisions faster. And you stop paying for reporting tools that never quite deliver what you need.

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