Trade entry error rates can exceed 15%
Leading organizations are using AI to digitize and automate critical processes, separating themselves from their peers
Speeding insights out to the business
Faster close-to-report cycle
Single source of truth
More business performance reports from a central data repository
Resources focused on insights, not transactions
More finance FTEs focused on business analysis
Using AI to solve the complexity of automating long-form contract processing
Trusted single source of data | Digital scale | Intelligent efficiency
- Single business user dashboard for all trade confirmation documents, activities, and communications.
- Intuitive experience directing teams to trade discrepancies and other critical tasks.
- Users can track which trades have been confirmed, which trades are in dispute, and which trades have not been acknowledged.
- Integrated collaboration panel enables internal and external communication to simplify issue resolution.
- Automations that intelligently identify discrepancies between the counterparty paper, broker statement, and internal trading system streamlining three-way reconciliation.
- Assign exception parameters to enhance straight through processing of work.
- Real-time updates as new documents and data arrive, speeding resolution.
- Automatically read and match incoming trade documents with associated communications.
- Viewable history of all comments and revisions.
- Communication tools including chat and email integration.
- Audit trail to track and manage disputes.
- Patent pending mix of artificial intelligence technologies incorporating pretrained natural language processing (NLP) models, machine learning, and segmentation to digitize document data.
- Advanced normalization capabilities improving downstream data integration and consumption.
- Extensive knowledge base of confirmation terms for data transformation, including the ability to infer required data not explicitly stated.
"The constant need for precision on tight deadlines is stressful. Every contract is a high-stakes puzzle, and a single misstep could have huge consequences. But we’ve only got so many hands and so many hours in the day. I wish I had a faster way to make sure everything is correct."
Contract Administrator (Processing)
"I’m always trying to find better ways to do things; new processes or tools that will get us the accuracy and speed we need to keep up in this fast-moving market. How do we jump ahead and leverage AI to get the data we need quickly? And once we had that data, can we automate the reconciliation so teams can save their time for the really big issues?"
Manager, Processing
"The fine line between regulatory compliance and potential penalties keeps me up at night. Balancing trade amounts, certification validity, and intricate regulations is a constant challenge and a relentless fear. I need AI to eliminate the manual entry of data and the errors we are continuously running up against."
Risk and Compliance Officer
"Every decision I make carries the weight of our organization's security and performance. Deciding whether to build or buy technological solutions is a constant dilemma, and the fear of making the wrong call is always there. I wish there was a ready-made solution I could trust."
IT (VP of Applications/Trading Systems)
"My mission is clear: to scale, expand, and automate. The closer we can get to real-time data and straight-through processes, the better positioned we’ll be to take advantage of opportunities. But I don’t want to sacrifice accuracy for speed — not with these stakes. How can we streamline in the smartest way possible?"
Head of Operations
Solution details
Confirmation Manager Solution Sheet
Oil and Gas Solution Brief
Before the Next “Black Swan”: Why the Commodities Industry Must Protect Itself With Digitalization
ClearDox FastTrak
Fast Start, Fast Results – 5 weeks, 25 counterparties
1. Gather. Assess. Define.
2 weeks
- Process and data workflows
- Teams impacted
- Counterparties covered (goals prioritized)
- What data matters (sample documents)
- Consume data (normalize dashboards)
- Integration
- Measure impact
2. Design. Adapt/Tune. Validate.
2 weeks
- Design AI-approach for document pipeline
- Adapt and tune models, generate and train new models
- Validate and normalize against commodity semantics knowledge base
3. Activate. Refine. Promote.
1 week
- Activate solutions, integrate workflows
- Continuously monitor quality, refine and optimize
- Promote launch, train team and drive adoption
Next Step: Scale
Scale up – More counterparties / Scale out – New workflows