Conexiom Launches AI Order Automation With Transparency Controls

Conexiom unveils order automation platform built on 15 years of transaction data

Conexiom has released Conexiom Relay, an order and invoice automation platform designed to handle the messy reality of how purchase orders actually arrive at distributors and manufacturers. The Vancouver-based company announced the product on September 1, 2026, positioning it as a solution that combines domain-specific AI training with transparent decision-making controls.

The platform addresses a persistent operational challenge: most orders don't arrive as clean PDF files. Instead, customer service teams receive purchase requests through email threads, Excel spreadsheets, handwritten notes, photos, and text messages. Each format requires manual data entry, creating bottlenecks that keep customers waiting and tie up staff on routine transactions.

Conexiom Relay ingests documents in any format, classifies them, extracts and validates data, corrects mismatches, and prepares information for integration with 40 different ERP systems. The company reports processing more than 1.5 billion line items annually at over 95 percent accuracy across its 600-customer base.

Intelligence Console provides verification layer

The distinguishing feature of Conexiom Relay is its Intelligence Console, which the company says is trained on 15 years of order and invoice transaction data. Unlike general-purpose large language models, the Console includes four components designed to make AI decision-making visible and controllable:

Conexiom Assist serves as an action-oriented interface that receives requests, flags exceptions, and executes processes according to established rules. The company positions it as distinct from conversational chatbots by emphasizing its ability to take direct action.

Playbook converts institutional knowledge from customer service teams into transparent rule sets. It automatically captures corrections made through Assist and accepts new rules submitted in natural language. Critically, it displays its logic to allow verification of AI accuracy and consistency.

Automation Analytics tracks performance metrics across order and invoice operations, identifying where automation is working and where optimization opportunities exist.

Revenue Signals analyzes historical and current data patterns to surface recommendations on upselling, cross-selling, churn risk, and vendor cost savings.

Why it matters

As enterprises rush to deploy AI tools, the ability to verify and control automated decision-making becomes a competitive differentiator and a risk management requirement. For distributors and manufacturers handling thousands of orders daily, opaque AI systems create audit problems and liability exposure. Conexiom's approach—making rules visible and editable—addresses a gap between the promise of AI efficiency and the reality of regulatory compliance and customer accountability. The platform also tackles a workforce challenge: as experienced customer service staff retire, their institutional knowledge typically walks out the door. Codifying that expertise into verifiable rule sets preserves it while freeing remaining staff to handle complex customer interactions that genuinely require human judgment.

Industry perspective on transparency requirement

Bryan DeGraw, a principal at The Hackett Group, emphasized the importance of visibility in AI systems for this sector. "Manufacturers and distributors can't trust AI they cannot see," DeGraw stated. "Conexiom Relay provides transparency into order acceptance and modifications that are historical blind spots. Making rules visible and editable is the difference between automation that a company can defend and automation that it accepts on faith."

CEO Michel Feaster highlighted the company's data advantage, noting that its 15-year operational history provides training data that newer entrants cannot replicate. The company positions this accumulated knowledge as a foundation for more reliable automation in the specific domain of order and invoice processing.

These details were first reported by Conexiom in a company announcement.