Premium — Enterprise Transformation

Intelligent systems architecture
built to scale

Multi-agent AI orchestration, end-to-end data engineering, cloud-native infrastructure, and predictive ML deployed as live operational APIs. This is the execution infrastructure that runs your enterprise.

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What's included

Full AI and data infrastructure for enterprise operations

Every component is production-grade from day one. We build systems that your engineering team can own, extend, and scale — not black boxes that require us to maintain.

Multi-agent AI orchestration

Multiple AI agents working together across your operations. One handles supplier communication, another processes documents, a third monitors production metrics. They share context and escalate to each other, or to humans, when needed. Built on OpenClaw and Claude Coworks frameworks.

End-to-end data engineering

Databricks, Spark, or ClickHouse — the right engine for your data volume and query patterns. Pipelines that ingest from every operational system, transform for analytics and AI, and serve results in real time. A live data infrastructure.

Cloud-native infrastructure

AWS or Azure with Kubernetes orchestration. Infrastructure-as-code so everything is reproducible, auditable, and scalable. Auto-scaling that responds to actual load, not worst-case estimates. Your cloud bill reflects what you use, not what you provisioned.

Predictive ML as live APIs

Machine learning models deployed as operational APIs that your systems call in real time — demand forecasting, anomaly detection, quality prediction, or whatever your operations need. Live, versioned, monitored production endpoints.

Real-time BI across all departments

Executive dashboards, operational dashboards, and departmental views — all drawing from the same data infrastructure. Power BI or Apache Superset, embedded or standalone, with row-level security and role-based access.

6-month performance review + full SLA

Complete system audit at 6 months: pipeline reliability, model accuracy, agent performance, infrastructure cost optimization, and architecture recommendations for the next phase. All support included for the full period.

Technology stack

Built on production-grade infrastructure

We choose tools based on your scale, your team's capabilities, and what will still work in 3 years.

AI & agents

Claude, Langgraph, Claude Coworks, OpenClaw, custom agent frameworks

Data engineering

Databricks, Apache Spark, ClickHouse, dbt

Cloud & infra

AWS, Azure, Kubernetes, Terraform, Ansible, Powershell

BI & analytics

Power BI, Apache Superset, embedded analytics

ML & prediction

MLflow, scikit-learn, PyTorch, real-time serving

Automation

n8n, Power Automate, custom orchestration

Real deployment

What enterprise-scale looks like in production

One manufacturer: 5 integrated systems, built over time

ERPOnline for production tracking. ResellerOnline for self-serve ordering. A Supplier Fabric Portal for vendor management. BI dashboards across every department. All integrated, all running on live data. Now we're adding an AI layer — conversational operations, automated invoice reconciliation, and predictive demand forecasting — on top of infrastructure that was designed to support it from the start.

5
Integrated platforms
All
Departments on live BI
AI
Layer now being added

IQ built and operates TradeFlow Crew: a live multi-tenant B2B trade platform on Cloudflare edge. Production reference for this tier. tradeflowcrew.com →

Engagement model

Phased deployment over 3–6 months

Every phase delivers a production system. You see results before the full engagement is complete.

Phase 1: Architecture & data foundation

Deep discovery across all systems and stakeholders. We design the target architecture, deploy the data infrastructure, and connect your first data pipelines. You have a working data layer before Phase 2 starts.

Phase 2: BI, dashboards & initial agents

Dashboards go live across departments. First AI agents are deployed and validated with real data. Your operations team starts using the system while we continue building.

Phase 3: Full orchestration & ML

Multi-agent orchestration deployed. Predictive models go live as APIs. Full system hardening, documentation, team training, and handoff. 6-month performance review window begins.

Common questions

Frequently asked questions

What industries do you serve?
Manufacturing, logistics, distribution, managed services, and data-intensive enterprises. The architecture is industry-aware — we design systems that understand production workflows, supply chain dynamics, and operational patterns specific to your vertical.
How does multi-agent orchestration work?
Multiple AI agents work together across your operations — one handles supplier communication, another processes documents, a third monitors production metrics. They share context and escalate to each other or to humans when needed. Built on OpenClaw and Claude Coworks frameworks.
What cloud platforms do you support?
AWS and Azure are our primary deployment targets, both with Kubernetes orchestration. We design for the cloud you're already invested in and build infrastructure-as-code so everything is reproducible, auditable, and scalable.
How long is a typical engagement?
3–6 months depending on scope and number of systems being integrated. We deploy in phases — core data infrastructure first, then BI and dashboards, then AI agents and predictive models. Each phase delivers usable production systems, not prototypes.
What does the 6-month performance review include?
Full system audit: pipeline reliability, model accuracy, agent performance, infrastructure cost optimization, and architecture recommendations for the next phase of growth. Includes all support — bug fixes, adjustments, and scaling guidance — for the full 6 months.

Not sure which tier?

Start smaller if you prefer

Decision Intelligence Suite

Full BI stack + AI agents across 2–3 workflows. Ideal for $10M–$200M revenue operations that need unified data and intelligent automation without full infrastructure transformation.

Learn more →

Ready for enterprise-scale AI?

Book a discovery call. We'll assess your current architecture, identify the highest-impact systems, and scope a phased engagement.

Request enterprise scope