Overview
Traditional BI puts data analysts between business users and insight. Executives wait days for reports. Dashboards answer the questions you thought to ask — not the ones you have right now. Generative Business Intelligence changes this. Business users query their data in plain language, get instant narrative analysis, and drill into any dimension without writing SQL or waiting for IT. We design and deploy GenBI systems that connect your data warehouse to conversational AI — with the accuracy, access controls, and auditability that enterprise deployments require.
How It Works with a21
Data Layer Assessment & Semantic Modelling
Assess your data warehouse, data quality, and existing BI infrastructure. Build the semantic layer — business-friendly definitions of metrics, dimensions, and relationships — that the AI reasons over.
NL Interface & Query Engine Build
Build the natural language query interface, SQL generation layer, and result narrative engine. Implement access controls that align with existing BI permissioning.
Validation, Tuning & Rollout
Validate query accuracy against a golden set of known-answer questions. Tune for your domain vocabulary. Roll out with user training and feedback loops for continuous improvement.
What We Offer
Natural Language to SQL
Accurate NL-to-SQL generation across your data warehouse — handling complex multi-table queries, aggregations, time-series, and calculated metrics.
Narrative Answer Generation
Generate clear, context-aware narrative answers that explain what the numbers mean — not just tables of data — with the key insight surfaced first.
Semantic Layer Design
Build and maintain a business semantic layer that ensures AI reasons about your data using correct metric definitions, business rules, and relationships.
Self-Service Dashboards
Enable users to generate their own visualisations and dashboards from natural language queries — without BI developer involvement.
Proactive Insight Generation
Configure agents that proactively surface anomalies, trends, and performance alerts — pushing insights to users before they think to ask.
Role-Based Data Access
Enforce existing data access permissions through the AI layer — ensuring users only see data they are authorised to query.
Why Choose a21
Accuracy-First
We build and test against golden question datasets before deployment. SQL accuracy is measured and published — not assumed.
Semantic Layer Investment
We invest in the semantic layer that makes GenBI reliable. Without it, NL-to-SQL produces wrong answers. With it, answers can be trusted.
Existing Stack Integration
We integrate with your existing data warehouse (Snowflake, BigQuery, Databricks, Redshift) and BI tools — not replace them.
Enterprise Permissioning
Access controls are enforced at the query level — not just the interface. Users cannot access data they are not authorised to see, regardless of how they phrase the question.
Success Stories
Problem
A large retailer’s executive team was dependent on a small BI team for all ad-hoc analysis — with typical turnaround of 3–5 days and limited ability to explore follow-up questions.
Solution
Deployed a GenBI system over Snowflake with a custom semantic layer covering 200 business metrics, NL-to-SQL with 96% accuracy, and narrative answer generation.
Problem
A wealth management firm’s regional managers lacked self-service access to portfolio performance data — requiring central analyst support for every performance review.
Solution
Built a GenBI layer over the firm’s data warehouse with portfolio-specific semantic definitions, NL query interface, and automated weekly performance narrative generation.
Tech Stack & Tools
Snowflake / BigQuery / Databricks / Redshift
dbt
LangChain / LlamaIndex
OpenAI / Anthropic APIs
Plotly / Chart.js
FastAPI
Redis
Get Started
Give your business users the data access they deserve. Talk to a21 about Generative BI.
