Growth Engine Most popular

Full BI stack + AI agents
for enterprise operations

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.

Book a discovery call See what's included

What's included

Intelligence layer across your operations

We unify your data first, then build the intelligence layer on top. Dashboards and AI agents work from the same source of truth.

Real-time BI dashboards

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.

2–3 agentic AI workflows

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.

Unified data pipeline

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.

Supplier & customer integration

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.

90-day support + satisfaction guarantee

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.

Conversational operations layer

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

Growing companies that have outgrown their tools

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.

Manufacturing ($10M–$200M)

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.

Logistics & distribution

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.

Managed services

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

What this looks like in production

Manufacturing: live ERP queries via chat + AI invoice reconciliation

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.

3
Departments using conversational ops
10
Suppliers auto-reconciled
3s
ERP query response time
0
New apps to install

Engagement timeline

6–10 weeks from kickoff to live system

Weeks 1–2: Discovery & architecture

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.

Weeks 3–6: Build & integrate

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.

Weeks 7–10: Deploy & validate

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

Frequently asked questions

What size company is this for?
Companies with $10M–$200M in revenue — typically mid-market manufacturers, logistics companies, managed service providers, and distribution businesses. You have enough operational complexity that disconnected tools are costing you, but you don't need a 12-month enterprise software implementation.
How do AI agents integrate with our existing ERP and CRM?
We build integration pipelines that connect directly to your existing systems — whether that's SAP, Dynamics, NetSuite, Salesforce, or custom databases. AI agents query live data through these pipelines, so your team gets real answers from real systems without migrating anything.
What BI platforms do you support?
We implement Power BI for Microsoft-native environments and Apache Superset for teams that prefer open-source or need embedded analytics. Both connect to your live data sources and update in real time. We recommend based on your existing stack, licensing, and embedding needs.
How long does the full engagement take?
Typically 6–10 weeks from discovery to full deployment. BI dashboards often go live in the first 3–4 weeks while AI agent workflows are built and tested in parallel. Every engagement includes a 90-day support window after go-live.
What's included in 90-day support?
Bug fixes, workflow adjustments, dashboard modifications, and agent tuning — all included for 90 days after deployment. If a data source changes or a workflow needs to handle a new edge case, we adjust it. After 90 days, you can extend support or run independently with full documentation.

Scale further

Need full enterprise AI infrastructure?

Intelligent Systems Architecture

Multi-agent AI orchestration, end-to-end data engineering, cloud-native infrastructure, and predictive ML — built for enterprise-scale operations.

Learn more →

Ready to unify your operations?

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