Conexiom draws on its historical data foundation to rewrite the playbook on AI transparency, providing the control and consistency that drive EBITDA, growth, and trusted vendor-customer relationships.
For years, orders and invoice lifecycles have been mired in slow, manual, and error-prone data entry. The work is painstaking. While the rest of the enterprise digitizes, automates, and accelerates, critical order and invoice operations play from behind, desperate to catch up.
Enter Conexiom. We pioneered one of the most critical parts of a distributor and manufacturer’s commercial business operations – automating RFQs, orders, VOAs, and invoices for any of more than 40 ERP systems.
Being the market creator with more than a decade and a half of experience ingesting and extracting key order and invoice data for ERP systems is a core strength of ours. Hundreds and hundreds of customers trust us because of those capabilities.
Not surprisingly, newer startup vendors like to call our history a legacy, and not necessarily in positive terms. For positioning’s sake, they have no choice. They’re unproven. It’s called marketing.
The announcement we made today of Conexiom Relay, our new AI-native product that is a fundamental part of our Trusted Transaction Platform, puts our past features in broader context.
It’s not legacy. It’s longevity.
Our longevity carries with it an unmatched historical data foundation. The knowledge from this data foundation fuels Conexiom Relay and the overall platform. It enables Conexiom to address what matters most when adopting AI solutions – trust. To date, users cannot verify or trust what AI is doing. They try to double check outputs to gain some level of confidence.
Conexiom leverages what other solution providers lack – AI grounded in more than a decade and a half of order and invoice knowledge. Conexiom Relay is much more effective than generic LLMs that rely on “black box” AI with no way to teach, control, or prove automation performs as promised. It delivers AI transparency to CSRs and ERP managers, building their confidence in adopting AI-driven automation.
- Conexiom Assist: Enables human in the loop (HITL) interaction with AI. Unlike chatbots, it answers questions and takes action. It scales a customer service team, using the best of humans and AI to ensure reusable, repeatable automation.
- Playbook: Turn a CSR team’s institutional knowledge into transparent rule sets for automated workflows to follow repeatedly. Users upload training documents and control what AI learns and applies. Rules are applied immediately. The Playbook shows its work to validate consistency, ensuring AI that’s reliable.
- Automation Analytics: Learn how much order and invoice operations are supported by AI, the amount of exceptions, and optimization opportunities.
- Revenue Signals: Understand historical and current data patterns, then act on recommendations for upselling, cross-selling, churn risk, and vendor cost savings.
Knowledge from our data foundation is what makes the platform work. The order and invoice patterns we have seen across more than 40 ERP systems inform how Conexiom Relay reads a document, flags an exception, and applies the rules a customer sets. In turn, rich analytics and insights from Revenue Signals power Conexiom Assist in concert with the Playbook’s rules. Conexiom Assist is an interface for human control and validates that AI execution is correct and consistent.
Gone are the days of working manually because organizations distrust AI. Vendors and customers want to trust each other. They demand reliability and consistency. They want stable, predictable businesses with optimized margins and maximum EBITDA.
This is what we are building for at Conexiom. We eliminate anxiety over whether AI is executing repeatably. There is no guessing game. No mystery. No black box AI.
Welcome to Conexiom’s latest chapter. We invite you to learn more at our webinar on October 7, where we will provide a comprehensive overview of Conexiom Relay, the transparency described above, and an explanation of how these innovative AI features improve your most material KPIs – gross margins, EBITDA, profitability, revenue, and growth rate.
AI is not created equal. There is a difference. We look forward to showing you.