Think about the multitude of contracts, amendments, addendums, master agreements, tasks orders, non-disclosure agreements (NDAs) and statements of work (SoWs) that are spread across your contract lifecycle management (CLM) system, SharePoint folders, email attachments, and legacy platforms. Then, think about the vendor and supplier invoices, purchase orders (POs), funding requests, utilization and usage reports, quarterly business reviews, service level agreements (SLAs), metrics (KPIs), and related documentation captured in other systems, inboxes, and in hardcopy format. Each one contains key information on risk, renewal terms, SLAs, cyber requirements, and pricing but locating each document and making sense of it is another story. Contracts alone are too unstructured to leverage and performing detailed analysis across this spectrum of documentation has become an extremely manual and time-consuming endeavor.

Common struggles include:

These challenges can stall decision-making, increase exposure to risk, and drain valuable resources.

You Already Have the Data. Now Make It Work for You

At AArete, we’ve observed numerous organizations experience these challenges. We designed AArete Doczy.ai™ and SpendSphere™ to address these issues. Our AI-powered contract and spend intelligence solutions are built for financial institutions that need to operate smarter, not harder. Unlike generic CLM systems, Doczy.ai™ and SpendSphere™ are built specifically for financial institutions with risk-tuned models and deep contract performance linkage. We did this to help our clients who continue to rely on outdated CLM and/or source-to-pay (S2P) systems that simply store documents, yet don’t help their business and support functions to intelligently act on what’s inside them. We’ve seen teams that have become paralyzed by weighing market solutions and in-house proposals with no action being taken and continue to follow the status quo.

Here’s How These Solutions Have Helped

Below are a handful of use cases that demonstrate how Doczy.ai™ and SpendSphere™ are delivering measurable value across contract management and vendor oversight.

Consider Use Case #1: Regulatory Audit Response

A mid-sized bank with over 8,000 vendor contracts couldn’t consistently locate cyber insurance language across its suppliers. After a regulatory audit, they realized their process left them exposed to fines and risk. Doczy.ai™ can help address this risk when responding to regulatory inquiries and audits in a time crunch.

How Doczy.ai™ Unlocks Your Contract Data

Doczy.ai™ can process up to 25,000 contracts per week, using proprietary AI to interpret contract documents with 99%+ accuracy reducing manual effort by 97%. But it’s not just extraction. Doczy.ai™ enriches contract metadata with invoice, spend, and benchmark data creating an actionable, searchable database that empowers better decisions. All data processing is SOC 2 type II compliant with end-to-end encryption and strict access controls to protect sensitive contract information.

It goes beyond automation to deliver:

• Clause extraction and contract tagging;
• Standard metadata field extraction to solve discrete contracting problems including connecting documents (i.e. parent/child relationship of MSA to NDA, SOWs, etc.);
• Risk identification tied to industry standards and business impact;
• KPI and SLA metadata connected to actual spend and usage for real-time vendor-reported metrics to enhance supplier relationship management; and
• Working capital management by assessing vendor payment terms across contracts to enable deployment of a working capital strategy.

Consider Use Case #2: Intelligent Negotiation Strategies

A regional credit union needed to scan termination clauses across its IT vendors. Doczy.ai™ can help address this challenge by enabling the team to stagger renegotiations efficiently avoiding overlapping contract risk. This can lead to substantial renegotiated savings.

Third-Party Risk is Growing, Can Your Contracts Keep Up?

Doczy.ai™ powers a Contract Risk Framework designed for global third-party risk management (GTPRM). The framework evaluates active and expired agreements against high-risk indicators such as:

• Cyber insurance and indemnity clauses;
• Data ownership and destruction requirements;
• BAA and NDA compliance; and
• Contract ownership and renewal status.

Each element is weighted for risk severity and compliance alignment. The platform also supports audit readiness by generating evidence-based reports that are aligned with federal regulatory guidelines (i.e. OCC, FFIEC, etc.) and reporting transparency.

Consider Use Case #3: Cybersecurity Incident Response and Mitigation

After a major vendor breach, a large bank needed to evaluate indemnity and cyber insurance language across top suppliers. Doczy.ai™ can help address this challenge by providing a full dashboard of at-risk vendors in under 72 hours—speeding up incident response and mitigation planning.

From SLA Guesswork to Vendor Intelligence

With Doczy.ai™, financial institutions can extract performance obligations—KPIs and SLAs—and overlay them with actual vendor-reported and system-reported metrics. The result: real-time performance tracking and supplier relationship management (SRM) tied to contract expectations.

We’ve worked with our clients to:

• Extract KPI/SLA metadata;
• Group KPIs by vendor category;
• Connect spend and utilization data; and
• Build dashboards and governance models.

Consider Use Case #4: Failed SLA Commitments

A financial institution discovered that a cybersecurity vendor failed SLA commitments for three straight quarters. With Doczy.ai™, that insight once buried in dense SOWs and QBRs, can now lead to renegotiated pricing and performance incentives.

SpendSphere™: Procurement Clarity at Your Fingertips

SpendSphere™ takes contract insights and combines them with market data and invoice trends, enabling financial institutions to:

• Identify rapid savings opportunities
• Simulate price changes across vendors
• Predict market impacts (e.g., CPI, PPI, tariffs)
• Reduce maverick spend
• Manage pricing structures and labor rates

Consider Use Case #5: Price Change Simulations

A capital management firm needed to model the ripple effect of a 200% price hike from a core tech vendor. Using SpendSphere™, within minutes, they can identify how related vendors would be impacted—and pivot negotiations accordingly.

Your Contract & Spend Intelligence…Unified.

Together, Doczy.ai™ and SpendSphere™ offer:

• Full transparency into contracts, suppliers, and risks;
• Faster negotiation cycles with benchmark-supported recommendations;
• Stronger compliance through automated risk frameworks;
• Improved decision-making with unified contract, spend, and performance data; and
• Time saved across procurement, legal, and risk teams.

Whether you’re managing $100M or $1B+ in vendor spend, the path to better third-party vendor and supplier oversight isn’t more people or more spreadsheets its smarter systems powered by actionable AI.

AArete is Here to Help

Ready to unlock real savings and risk control? Request a personalized demo of Doczy.ai™ or get your tailored SpendSphere™ savings assessment generated today.

Let AArete show you what’s possible with contract intelligence that doesn’t just store data it works for you.