Industries // Business Management
BUSINESS MANAGEMENT
SOFTWARE.
We build the operational backbone—ERP, CRM, commission engines—when off-the-shelf tools stop fitting.
// The Problem
Mid-market companies outgrow their tools. They start on QuickBooks and Salesforce, bolt on 15 integrations, and end up with data living in 6 places with no single source of truth. Commission calculations run in spreadsheets that take a finance analyst 3 days to reconcile every month. Org hierarchies in the HR system don't match the reporting structures in the CRM, so territory assignments and approval chains break constantly.
We build custom operational platforms when the off-the-shelf stack collapses under its own weight. Graph-based org hierarchy modeling in Neo4j handles the matrix structures, dual-reporting lines, and territory trees that flat RDBMS tables can't represent cleanly. Commission engines compute complex multi-tier, split-deal, accelerator-based comp plans and reconcile against the GL automatically.
Workflow automation replaces the "email someone and hope they approve it" pattern with structured approval chains, SLA tracking, and escalation rules. One client reduced their monthly close process from 12 days to 4 by automating the commission reconciliation and AP approval workflows that were running on email and spreadsheets.
// Capabilities
Custom ERP & Operational Platforms
Purpose-built ERP systems covering the workflows that off-the-shelf tools handle badly for your business. Inventory, procurement, order management, and financial operations connected to a single data model. Replaces the duct-taped integration chains between QuickBooks, spreadsheets, and departmental tools.
CRM & Sales Operations
Custom CRM platforms for complex sales processes that Salesforce configs can't handle. Deal desk workflows, CPQ logic, territory management on graph-based hierarchies, and pipeline analytics. Native integration with your ERP and commission systems instead of middleware connectors.
Commission & Compensation Engines
Automated commission calculation for multi-tier, split-deal, accelerator-based compensation plans. Computes on closed-won data in real time instead of month-end batch. Full audit trail from deal to payout. Reconciles against GL entries automatically. Handles clawbacks, overrides, and draw balances.
Workflow Automation
Structured approval chains with SLA tracking and escalation rules. Purchase approvals, contract reviews, expense authorizations, and change requests route through configurable workflows. Eliminates the email-and-spreadsheet approval pattern that bottlenecks every growing company.
// Frequently Asked
When should a company build custom ERP instead of using off-the-shelf?
When your team spends more time working around the tool than working in it. Common signals: more than 10 integrations connecting core systems, critical business logic living in spreadsheets, month-end close taking over a week, and data reconciliation consuming analyst hours daily. Custom ERP makes sense when the cost of the workarounds exceeds the cost of building.
How do graph databases help with org hierarchy modeling?
Relational databases model hierarchies as parent-child rows in a table. That works for simple trees but breaks down with matrix reporting, dotted-line relationships, territory trees, and multi-entity structures. Neo4j stores these as native graph relationships, making queries like 'find all deals under this VP's territory tree' run in milliseconds instead of recursive CTEs.
How long does a custom business management platform take to build?
An initial production release covering 2-3 core workflows typically takes 14-20 weeks. We ship incrementally—the first module goes live while we build the next. A full platform replacing multiple off-the-shelf tools usually takes 6-9 months with phased rollouts per department.
Can you migrate data from existing CRM and ERP systems?
Yes. We build migration pipelines that extract from Salesforce, HubSpot, NetSuite, QuickBooks, and similar platforms. Data gets cleaned, deduplicated, and mapped to the new schema before cutover. We run parallel operations during transition so the old system stays live as a fallback until the new platform is validated.
// Related Services
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