Insights shared across the team - researched once, used many times.
Speed up data collection, analysis, and reporting - without giving up control over sensitive data.
Built for teams carrying out data analysis and research with sensitive business, client, or market data.
Credit analysis, risk aggregation, CRM enrichment, and client data research under strict data protection requirements.
Deal research, market analysis, company valuation, and due diligence where confidentiality is critical.
Internal analysis, reporting, and management questions that currently depend on manual research, spreadsheets, or data requests.
We deploy data analyst AI agents where they deliver the greatest value.
Insights shared across the team - researched once, used many times.
Analyst-grade output from your own data - traceable and explainable.
Management questions answered in seconds, not after two days of waiting.
Creditreform is one of the largest credit agencies in the EU. Their business runs on client data. Management needed daily answers from that database - reports, selections, risk overviews. Getting those answers meant going through the data team every time: submit a request, wait for prioritization, get a pivot table back. It took two days to get this information when nothing got in the way.
brainbot built two layers. The first is a data analysis AI agent that management can query by voice or chat, directly against the client database, without involving the data team. The second handles CRM enrichment - keeping client records up to date as new information comes in. Write access is supported, but the system never changes data automatically. Every update or correction requires human confirmation before it goes through, with a full preview and activity log.
Creditreform can now enrich CRM records and run management analyses on client data by voice or chat, without adding headcount. Control over every critical change stays intact.
Critical data stays on-premises and/or in the EU cloud. No US cloud routing. Security mechanisms are built into the workflow.
We review your bottlenecks, assess data risks, estimate ROI potential, and outline a pilot plan.
Scope, timeline, cost, success metrics, data handling, and responsibilities - all on one page.
We build and test the AI agent on real workflows in your environment, measured against the success metrics from step two.
Your team takes ownership of the agent in daily operations. We handle training, monitoring, and support.
Request a free 15-minute analysis call. We'll review your data analysis bottlenecks, estimate the ROI potential, and outline what a pilot could look like.