Real-time dashboards connected to your ERP, CRM, and operational data. AI agents that handle 2–3 of your most time-consuming workflows — from supplier reconciliation to conversational data queries. Built for companies with $10M–$200M in revenue.
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Not a dashboard bolted onto your existing chaos. We unify your data first, then build the intelligence layer on top — dashboards and AI agents working from the same source of truth.
Power BI or Apache Superset — whichever fits your stack. Connected to live data from ERP, CRM, and operational systems. Your leadership team sees what's happening now, not what happened last month.
AI agents built on Claude or OpenClaw that handle real operational work — invoice reconciliation, order status queries, document processing, or supplier communication. They read, decide, and act on live data.
ERP, CRM, and operational data connected through a single pipeline. No more "let me pull that from another system." Every dashboard and AI agent draws from the same unified, real-time data layer.
Data flows between your systems and your suppliers' or customers' systems. Purchase orders, invoices, delivery confirmations — automated handoffs that eliminate manual re-entry and reduce disputes.
Bug fixes, workflow adjustments, dashboard modifications, and agent tuning — all included for 90 days after deployment. We define success criteria before the engagement starts and guarantee we meet them.
Your team queries live operational data through natural language — from WhatsApp, Teams, or Slack. "What's the status of PO-4521?" gets answered in 3 seconds from your live ERP. No app, no login, no training.
Who this is for
You have ERP data, CRM data, spreadsheets, and tribal knowledge spread across disconnected systems. Decisions take too long because the data isn't where the people are.
Production tracking, supplier management, order fulfillment, and commission reporting all living in different systems. Your operations team spends hours assembling information that should be automatic.
Shipment visibility, warehouse KPIs, carrier performance, and customer delivery tracking — fragmented across multiple platforms. Decision-makers can't get a real-time picture without calling three people.
Client reporting, SLA tracking, resource utilization, and process automation across multiple client environments. Manual processes that worked with 5 clients break at 15.
Real deployment
A manufacturer's customer service, sales, and marketing teams navigated 4 screens and 6 clicks to answer one order query. We replaced that with a single chat message to their live ERP — 3-second response from WhatsApp. Simultaneously, we deployed an AI agent that reconciles invoices from 10 fabric suppliers against purchase orders automatically. Hours of weekly manual work eliminated. Exceptions only get escalated.
Engagement timeline
We map your data sources, workflows, and decision points. You get a clear architecture proposal — what connects where, what the AI agents will handle, and what the dashboards will show. Fixed scope, fixed price.
Data pipelines go live. Dashboards connect to real data. AI agent workflows are built, tested against real scenarios, and refined. BI dashboards often go live before the agents are complete.
Full deployment, user training, and validation with live data. AI agents run in production. Your team has dashboards and conversational access. 90-day support window begins.
Common questions
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Book a 60-minute discovery call. We'll map your data landscape, identify high-impact workflows, and scope a fixed-price engagement.
Book a discovery call