Flagship

AI BA: the AI Business Analyst that writes your data rulebook

Before you can validate anything — reconciliation, data quality, exception management — you need a rulebook that defines what good data looks like. Writing it has always meant a dedicated business analyst, weeks of workshops, and pages of documentation. AI BA reads your dataset and drafts 80–90% of that rulebook in seconds — across business, operational, technical and risk & compliance. You review and sign off; a deterministic engine proves every number.

A business analyst's first week of work, in seconds: point AI BA at a dataset and get a draft validation rulebook — every rule explained, scored against your real data, and ready for you to confirm. It's a draft: the analyst reviews and signs off before the rules generate exceptions.

How it works

1 · Point at your dataDrop in a dataset (or connect a source) and turn on BFSI enrichment.

2 · AI drafts the rulebookIn ~20 seconds, rules across all four lenses, each explained and scored.

3 · Review & sign offEdit, add, confirm — then the saved rules power validation and exceptions.

What you get

Four lenses, one rulebook — business, operational, technical and risk & compliance rules from one pass.
80–90% drafted instantly — the AI writes the first draft; you only review and top up the rest.
Every column explained — data type, business meaning and purpose — auto-written, no manual docs.
Evidence on every rule — each rule shows its fit % against your real data and why it was proposed.
Smart, not generic — cross-field logic (Commission = Gross − Net), date logic, allowed values, check-digits (ISIN/IBAN/LEI), referential integrity, outliers.
BFSI enrichment — hand it your data dictionary or business rules; the AI learns your terms and codes.
Human-in-the-loop — AI proposes, you confirm — nothing is ever trusted blindly; a deterministic engine computes every number.
Save once, reuse everywhere — confirmed rules are remembered and power your Data Quality and Other Validation runs on matching data.

AI BA vs. a dedicated business analyst

Building a validation rulebook the traditional way means a dedicated BA, weeks of meetings with ops, risk and compliance, and documentation that goes stale. AI BA drafts 80–90% of the same rulebook in seconds, grounded in your actual data and explained rule-by-rule — so your analyst reviews and signs off instead of starting from a blank page. It doesn't replace the expert; it removes the weeks of grunt work and gives them a head start they confirm.

This is one of 20+ checks in AI data validation — the same engine also runs reconciliation, data quality, profiling, document compare and governance. For sensitive data, the full dataset never leaves your server; see the security page.

FAQ

What is AI BA (an AI Business Analyst)?

AI BA is an AI Business Analyst that reads a dataset and drafts a complete data-validation rulebook — business, operational, technical and risk & compliance rules — in seconds. It proposes 80–90% of the rules, each explained and scored against your real data; a human reviews and signs off, and a deterministic engine computes every number.

What is a data validation rulebook?

A rulebook is the set of rules that define what 'good' data looks like — allowed values, ranges, formats, cross-field logic, not-null and uniqueness, freshness, referential integrity, and compliance flags. You need it before you can run data quality, reconciliation or exception management. AI BA drafts it for you from the data itself.

Does AI BA replace a business analyst?

No — it removes the weeks of grunt work. AI BA drafts 80–90% of the rulebook; the analyst (or SME) reviews, edits and signs off. The AI proposes; you decide. Nothing is trusted blindly, which is exactly what makes AI safe for BFSI-grade data.

How accurate are the rules, and are they trustworthy?

Every rule is computed by a deterministic engine against your real data — never an AI guess — and shown with a fit % and the reason it was proposed. You confirm the ones you want before they apply, so the result is auditable and defensible.

What kinds of rules can AI BA write?

Business (allowed values, ranges, cross-field logic like A = B − C, outlier thresholds), operational (completeness, freshness, drift), technical (not-null, uniqueness, formats, check-digits for ISIN/IBAN/LEI, referential integrity), and risk & compliance (counterparty validity, regulatory flags, PII/sensitivity).

Can I reuse the rulebook on future data?

Yes. Confirmed rules are saved to your workspace and auto-apply to future files of the same shape, powering your Data Quality and Other Validation runs — so you build the rulebook once and it keeps working as data arrives.

Try AI BA free — your AI Business Analyst

Point it at a dataset and get a draft validation rulebook in seconds. Review, sign off, and put your checks on autopilot.

Start free — 7 days, full access