Less
Duplicate research
Findings are shared across the team - research done once, used many times.
Based on shipped pilots
Accelerate data collection, analysis, and reporting - without losing control of sensitive data.
Built for teams performing data analysis and research with sensitive business, client, or market data.
Credit analysis, risk aggregation, CRM enrichment, and client-data research under strict data-control requirements.
Deal research, market analysis, company evaluation, and risk review where confidentiality matters.
Internal analysis, reporting, and management questions that currently depend on manual research, spreadsheets, or data-team requests.
We deploy data analyst AI agents where they add the most value.
Findings are shared across the team - research done once, used many times.
Analyst-grade outputs on your own data, sourced and explainable.
Management questions answered in seconds, not after a two-day wait.
Creditreform is one of the largest credit bureaus in the EU. Client data is the foundation of its business. Management needed daily answers from the customer base - reports, selections, risk overviews. The path went through the data team: request, prioritisation, pivot table, response. Two days, if nothing else came up.
brainbot built two layers: a read-only research system for CRM enrichment, and a voice- and chat-controlled management analyst on top of it. The system can work with client data and support write access, but it does not overwrite data automatically. Critical changes require confirmation. Preview, rollback, identification, and activity logging are built in.
Creditreform can now enrich CRM records and run management analysis on client data through voice and chat. The system adds analysis depth without adding staff, while keeping control over every critical change.
Critical data stays on premises and/or in EU cloud. No US-cloud offloading. Guardrails go into the workflow itself - every agent action requires permission, is previewable, and is reversible.
Bottlenecks reviewed, data risks checked, ROI estimated, pilot path outlined.
Scope, timeline, cost, success metrics, data handling, responsibilities.
AI agent built and tested on real work in your business. Measured against your success metrics.
AI agent moved into daily use with training, monitoring, and support.
Find the data analysis workflow worth improving first. Book a free assessment call - we'll review where data analysis can be improved, what data needs protection, and what a pilot would look like.