cortexiaone.com

CortexiaOne — Enterprise AI Automation Platform

An enterprise-grade AI platform that replaced 200+ hours of manual processes per week with autonomous multi-agent workflows, delivering 4.2x ROI within the first quarter.

Project Overview

A Fortune 500 logistics company was drowning in manual processes — from invoice reconciliation to supply chain anomaly detection. Their teams spent thousands of hours on repetitive tasks that prevented them from focusing on strategic decision-making. We designed and built Cortexia, an agentic AI platform that orchestrates multi-step business workflows autonomously, integrating with their existing ERP, CRM, and data warehouse systems through a custom MCP server architecture.

Client Background

Our client is a Fortune 500 logistics and supply chain management company operating across 28 countries. With over 15,000 employees and $4B in annual revenue, they process millions of transactions daily across disparate systems — SAP ERP, Salesforce CRM, custom data warehouses, and legacy mainframe systems. Their digital transformation team had experimented with basic RPA but hit scalability walls when workflows required contextual decision-making.

The Challenge

1

Over 200 hours per week spent on manual invoice reconciliation across three ERP systems with different data formats and currencies.

2

Supply chain anomalies were detected 48-72 hours after occurrence due to siloed monitoring, resulting in an estimated $3.2M in annual losses from delayed responses.

3

Previous RPA implementations failed at scale because they couldn't handle edge cases or make contextual decisions — breaking whenever data formats changed.

4

12 critical business systems had no unified integration layer, forcing teams to manually transfer data between platforms using spreadsheets.

5

The client's IT team lacked expertise in modern AI frameworks like LangChain, CrewAI, and MCP server architecture needed for agentic AI systems.

Our Approach

AI Strategy & System Audit (Weeks 1-3)

We embedded with the client's operations team for three weeks, mapping every manual workflow across their 12 critical systems. We identified 47 automation candidates and prioritized the top 15 based on ROI potential, implementation complexity, and data availability. We designed the Cortexia architecture as a multi-agent system with specialized agents for each business domain.

MCP Server Infrastructure (Weeks 3-6)

We built a custom Model Context Protocol server layer that gave AI agents secure, structured access to SAP, Salesforce, their data warehouse, and 9 other business systems. Each MCP server handles authentication, rate limiting, and data transformation — enabling agents to read from and write to enterprise systems without direct database access, maintaining security and audit trails.

Multi-Agent Orchestration (Weeks 5-10)

Using CrewAI and LangChain, we built specialized agent crews for invoice reconciliation, supply chain monitoring, and customer communication workflows. Each crew consists of 3-5 agents with distinct roles — a Planner agent that decomposes tasks, Executor agents that interact with systems via MCP, a Validator agent that checks outputs, and a Human-in-the-Loop escalation agent for edge cases.

Testing, Training & Rollout (Weeks 9-14)

We ran Cortexia in shadow mode alongside human teams for 4 weeks, comparing outputs and gradually increasing agent autonomy. We achieved 94% accuracy before full deployment, with built-in guardrails and human approval workflows for high-value transactions. We trained 45 staff members across 6 departments on supervising and configuring agent behaviors.

Solution Highlights

Multi-agent orchestration system handling 47 distinct workflow types

Custom MCP servers integrating 12 enterprise systems securely

Real-time supply chain anomaly detection reducing response time from 72 hours to 15 minutes

Human-in-the-loop guardrails for high-value decisions with full audit trails

Results & Impact

Reduced manual process time by 200+ hours per week across 6 departments, freeing teams for strategic work.
Supply chain anomaly detection time dropped from 48-72 hours to under 15 minutes, preventing an estimated $2.1M in losses in the first year.
Invoice reconciliation accuracy reached 94%, up from 78% with the manual process — while processing 3x the volume.
ROI of 4.2x achieved within the first quarter of full deployment, driven by labor savings and prevented losses.
The MCP server architecture became a reusable enterprise integration layer, reducing future system integration time by 60%.
Zero security incidents across 2.3 million agent actions in the first 6 months, validated by independent SOC 2 audit.

"Cortexia is not just an automation tool — it is a force multiplier for our entire organization. The AI agents handle the repetitive complexity so our people can focus on what humans do best: strategy, relationships, and creative problem-solving. Inventiple understood our enterprise constraints from day one."

R

Robert Langford

Chief Digital Officer