Every intelligent system needs a core brain. Especially in data and analytics automation, that “brain” is the Business Rules Engine – the layer that encodes how calculations, validations, and transformations should happen.

Without it, no automation truly works: not regulatory reporting, not risk models, not financial close, not even basic revenue analytics.

The Crumbling Monolith

Traditional rules engines are collapsing under AI-era workloads as they couldn't adapt to changing times.

• Rising infra costs from SQL-heavy databases

• Broken orchestration with fragmented tools

• Opaque workflows, poor lineage, zero transparency

• Choked pipelines with large, granular datasets

• Steep learning curves for Excel-native business teams

• Heavy vendor lock-in for every small change

Instead of a unstable monolith, imagine a federation of agents – each mastering one task, handing over seamlessly, and together solving challenges that traditional systems simply can’t. This is our innovation: the six Agents of orchestration – that chose cooperation over conquest, specialization over domination.

Innovation on Business Rules: The Six Agents of Orchestration

Agent 1: The Conductor (Master Orchestrator)

• Centralized orchestration brain

• Function library – Excel-like but in Python

• Proprietary formula parser: Excel functions → Python scripts

• Sequencing engine (order of execution) that ensures every agent plays their part at precisely the right moment.  

The Conductor translates business needs into coordinated action across all other Agents.

Agent 2: The Gatekeeper

• Receives instructions from the Conductor

• Builds on-the-fly SQL in DuckDB

• Processes only localized in-memory subsets

• Prevents choking of pipelines.

The agent allocates exactly what's needed, when it's needed, preventing the resource wastages

Agent 3: The Specialist

• Executes business rules based on the sequencing engine, on Pandas

• Accelerates file operations (Read & Write) with Rust

• Delivers precision and speed

This agent embodies efficient processing: careful planning combined with rapid, flawless execution

Agent 4: The Connector

• Streams data between the Gatekeeper and the Specialist using PyArrow

• Reduces memory footprint

• Maintains seamless, high-performance communication

In the monolith, systems hoarded information and memory. This agent ensures seamless communication – in-memory compression without information loss

Agent 5: The Archivist

• Stores all business data in Parquet

• Builds a cost-efficient data lake

• Immutable, versioned, compressed.
  
  

Agent 6: The Chronicle

• Captures complete execution metadata in Postgres

• Full lineage + audit trail

• Transparency and trust by design

Greatest weakness of traditional rules engine was opacity – no information of who made what decisions or why. Our greatest strength is transparency: every action tracked, every decision auditable.

The Results

• Familiarity = Adoption: Excel-like rules keep business teams in control.

• Separation of Compute & Storage: 80% lower storage costs.

• Optimized Memory Flow: 80% less memory footprint, even with text-heavy datasets.

• Relevance-First Execution: 2X faster processing—focused efficiency vs. trying to do everything in one-shot

This isn’t just technical elegance on Business Rules – It’s business resilience at scale. A new way for enterprises to automate without vendor lock-in, runaway infra costs, or breaking the trust that business teams place in Excel-like rules.