Workflow orchestration
Event-driven pipelines across CRM, support, billing, and fulfillment: composable, not brittle.
AI-driven workflow automation that replaces brittle manual hand-offs with observable, auditable system logic, built to run your operations, not just demo well.
As a business grows, the work between systems multiplies: copy this from the CRM, summarize that ticket, route this approval, reconcile those records. It is invisible until it breaks, and it breaks at the worst time.
Off-the-shelf automation handles the happy path and falls apart on the edge cases that actually matter.
We model your operations as explicit, event-driven flows with confidence scoring and approval gates, so the routine runs untouched and the uncertain routes to a human.
Every automated action is observable and reversible. Operators get a live console, not a black box.
Event-driven pipelines across CRM, support, billing, and fulfillment: composable, not brittle.
Models that classify, extract, summarize, and route, with confidence thresholds for hand-off.
A live surface to watch, approve, and intervene in every flow in motion.
Reliable connectors into the tools you already run, with retries and audit logs built in.
Automated accounting workflow connecting Zoho CRM, QuickBooks, and Ignition using Zapier. Real-time customer and contact sync, automated data processing, and cross-platform updates reduced errors, saved hours, and ensured accurate accounting operations.
View case studyAI AutomationDeveloped an AI automation workflow that automatically syncs new Shopify products with Zoho Inventory. Using Make.com as the automation engine, the system detects whenever a new product is added to Shopify and instantly creates a corresponding item inside Zoho Inventory. This eliminates manual product entry, ensures accurate inventory records, and keeps both platforms synchronized in real time.
View case studyAI automation uses models to handle the judgment-heavy steps in a workflow, classifying, extracting, summarizing, and routing, so processes run end to end instead of stalling on manual hand-offs.
Those are the plumbing. We use them where they fit, but add the AI decisioning, confidence thresholds, human-in-the-loop gates, and observability that turn a set of triggers into a system you can trust in production.
No. We route confident cases automatically and escalate uncertain ones to an operator, with a live console and full audit trail: speed where it is safe, judgment where it matters.
We start where volume meets clear rules: support triage, CRM sync, approvals, reporting, then expand as the system proves itself.