Architecture

From question to audited answer

Grounded on the way in. Closed-set rendering on the way out. Audit log around the whole thing.

Pipeline

One path, every time

Your data feeds in at Execute. The audit log captures every step.

Input
Natural-language question
1 · Plan
Lead agent decomposes
2 · Ground
Resolved against your data model
3 · Execute
Read-only SQL, audited
4 · Render
Closed-set palette
Output
Charted answer + reasoning
Your data
Symitar Corelation Fiserv DNA Origence MeridianLink Encompass Snowflake BigQuery Databricks Bureau feeds
Throughout the pipeline Every step writes an append-only audit row. Every answer is reproducible from its log entry alone.
Engine

Three architectural choices

The reasons Hughes is defensible in a board meeting and an exam in the same week.

Grounding
Grounded, not free-form SQL
Every question routes through your defined metric catalogue. 98–100% accuracy vs 84–90% for raw text-to-SQL.
Rendering
Closed-set component palette
Answers render through a fixed library of 54 sanctioned components. No invented visualisations.
Reasoning
Autonomous lead agent
Decomposes complex questions, dispatches sub-agents in parallel, synthesises the result — full plan visible.
Data Grounding

Raw text-to-SQL vs Grounded

Raw text-to-SQL
Invents joins, picks columns
84–90% accuracy on benchmarks — and the failures are silent.
No catalogue of right answers
Two analysts ask the same question, get two different numbers.
Lineage reconstructed after the fact
When a board number is questioned, you reverse-engineer the SQL three weeks later.
Grounded
Routes through your data model
98–100% accuracy. If a metric isn't defined, the agent says so — it doesn't invent one.
One definition, every time
CEO, analyst and examiner see the same number from the same definition.
Lineage is the answer
Every number ships with its definition, sources and freshness — visible inline.

See the architecture against your stack.

Click into the live demo or talk to us about a 30-minute walk-through with your core, LOS and warehouse named.

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