clean layout, the story cards read well. does the admin side have drafts and scheduled posts? that's usually the first thing people ask for once they start writing regularly
Most enterprises can't use AI analytics tools, and the model isn't the reason.
The tools want the data sent to them. For the consulting and professional-services firms this product was built for, that ended the conversation early. Sensitive client data could not leave their cloud.
So we flipped it. The whole platform deploys inside the customer's own AWS account, with zero data egress.
Once it's in, a business user types a question in plain English and gets a live, governed dashboard in under 60 seconds.
What happens between the question and the chart:
β Enterprise identities scope sources, rows, columns and tenant before the query runs
β Bedrock Agents plan the query and Bedrock Guardrails check it
β Trino queries SQL, NoSQL and custom sources where the data already lives
β Apache Superset turns the result into a dashboard people can save and share
β Subscribed datasets are watched for anomalies, trends and thresholds
β Every answer keeps its question, sources, validated query, permissions and confidence
It ships as a white-label React widget, so product teams can embed it in their own apps. It's also listed on AWS Marketplace.
Multi-CRM Relationship Management System
I developed a Multi-CRM Relationship Management System that enables businesses to manage contacts, track relationships, and analyze engagement from a centralized dashboard. The platform integrates CRM systems like Salesforce and HubSpot to import contacts, generate AI-driven outreach recommendations, and monitor relationship metrics. It includes analytics dashboards, opportunity tracking, and performance insights to support data-driven decisions and improve sales efficiency.