Provider organizations have access to more payer performance data than ever before. But more data does not necessarily lead to improved financial outcomes, particularly when critical information is spread across disconnected tools and systems. Bringing that information together and making it easier to analyze and act on creates an opportunity to manage payer relationships more effectively.
During our recent Contract Intelligence webinar, CEO and Co-Founder Dilpreet Sahota demonstrated how we are using AI to help provider organizations address four persistent gaps in contract, market, payer policy, and operational visibility. The discussion explored how AI can analyze complex information, automate time-consuming workflows, and surface actionable insights that help teams manage payer relationships more proactively.
Contract Intelligence: A Modern Approach to Managing Payer Performance
We built Contract Intelligence to bring together the information provider organizations need to manage payer relationships, evaluate performance, and make informed decisions across the payer contract lifecycle. The platform can ingest payer contracts, amendments, fee schedules, claims and remittance data, payer policies, direct payer communications, and other internal and external data sources.
Once this information is ingested, teams can use natural language to ask questions and receive answers linked directly to the underlying source documents. During the webinar, we demonstrated how users can quickly locate effective dates, termination provisions, reimbursement terms, billing requirements, and other critical information without manually reviewing hundreds of pages.
For more complex tasks, AI agents can analyze information from multiple sources and automate workflows such as structured contract extraction, negotiation term prioritization, contract-to-policy comparisons, denial analysis, and appeal letter generation.
We also highlighted our work with Family Allergy & Asthma, where centralizing payer agreements and using AI to streamline contract analysis helped reduce contract review time by more than 80%.
Extending AI Across the Payer Contract Lifecycle
Contract search and analysis are only the starting point. Contract Intelligence can apply AI to more complex workflows to help teams identify contract-policy conflicts, investigate denials and underpayments, prioritize negotiation opportunities, and evaluate market reimbursement rates.
One example shared in the webinar highlighted a contract that allowed a 180-day timely filing period while the payer’s public policy specified a 60-day standard. Surfacing this type of discrepancy helps teams identify potential denials, underpayments, and operational risks before they create larger financial consequences.
We also previewed the planned integration of our Transparency in Coverage data into Contract Intelligence. Users will be able to describe the reimbursement information they need in natural language, allowing the solution to identify relevant providers, billing codes, specialties, and geographic parameters before querying the data and returning results.
Audience Q&A
What types of payer policies does Trek Health search for? Is the focus limited to clinical policies, or are administrative policies included as well?
We ingest provider manuals, clinical and administrative policies, medical necessity criteria, and other publicly available policy documents from commercial and government payers. When relevant information is distributed through private payer portals or direct communications, customers can provide those documents for ingestion and analysis within Contract Intelligence.
How will Trek Health’s AI agents evolve over time, and where will development focus next?
Our current AI capabilities support contract analysis, payer policy monitoring, reimbursement research, denial workflows, and underpayment analysis. Our roadmap is deliberately sequenced so each additional layer of information expands what our AI agents can understand, automate, and act on. Future development will include integrating EHR data, expanding the range of information and workflows our AI agents can support across payer performance and revenue cycle management.
What value does Contract Intelligence provide to existing Trek Health Price Intelligence customers?
Contract Intelligence extends the value of Price Intelligence beyond reimbursement benchmarking by making it easier to access market data, analyze payer agreements, manage negotiation timelines, and monitor policy changes. Together, these capabilities give teams a more complete view of payer relationships and help them identify risks and opportunities earlier.
When using AI to search payer data, do users need to know every input required to generate the analysis?
No. Users can describe the analysis they want in natural language. If additional information is required, the system can ask follow-up questions or identify inputs such as billing codes, provider taxonomies, NPIs, and geographic markets based on the request.
Building a More Proactive Approach to Payer Performance
We believe AI can fundamentally change how provider organizations manage payer relationships by shifting teams away from manual research and reactive problem-solving.
Our goal is to enable provider organizations to understand their contracts more quickly, anticipate the impact of payer policy changes, simplify reimbursement analysis, and identify financial risks and opportunities earlier.
If your organization is looking for a better way to manage payer contracts and use AI across the payer contract lifecycle, schedule a demonstration to learn more about Trek Health Contract Intelligence.
