CRM and ERP integration
Your operation runs on a stack of systems (CRM, ERP, finance, support, inventory) each doing what it was built for. The gains your team has taken from each of them are real. The next gains are different: they show up only when AI can read across all of them at once, asking questions no single system was built to answer.
We don't replace the systems your team uses. We sit on top of them. The integration layer reads across CRM, ERP, finance, support, inventory (wherever your operational data lives) into a form AI can work with across all of them at once. Three things become possible: visibility (one view, plain-English questions, multi-scenario planning), automation (workflows that span system boundaries no single tool was built to cross), and guards (anomalies caught the week they happen). The systems stay where they are; the intelligence layer is what's new.
Capabilities
Ask the operation the questions an executive actually has, in plain English. “Which customers are at risk based on support and payment history?” “Why did Q3 margin drop?” “What’s our pipeline-to-revenue ratio by region?” Answers in seconds, drawing from CRM, ERP, finance, and support at once, not a week-long report request.
Instead of one operational forecast with assumptions baked in, run a dozen branches in parallel: top customer slips, key hire delayed, exchange rates move 10%, pipeline conversion drops a point. See which assumptions actually move the needle. Spend planning time on the ones that do.
The work that moves between systems is where AI pays off the most: a sales lead becoming a placed order, an order becoming a paid invoice, a support ticket becoming an engineering fix. AI-augmented workflows orchestrate those handoffs across systems: pulling the data, drafting the summary, making the hand-off. A closed deal in CRM cleanly becomes an order in ERP, an invoice in finance, and a fulfillment task in inventory, from one event.
Train a baseline of what your normal operational data looks like across systems. Spikes, duplicates, mis-categorizations, customer-data inconsistencies between CRM and finance, churn signals: flagged when they land, not in the quarterly review two months later.