CovenantFlow: turning covenant compliance into a monitored system
Commercial banks treat covenant compliance as a quarterly spreadsheet exercise. CovenantFlow is the AI-native platform Catalyze Labs built to run it as a continuous, monitored workflow — ingest, test, escalate, report.
Platform
CovenantFlowContext
A workflow that costs more than it looks like it does.
Covenant management sits in the back office of commercial lending and is usually treated as a compliance obligation rather than an operating process. The published research says otherwise: it consumes a large share of the most expensive people in the bank, and the cost of getting it wrong is asymmetric. Catalyze Labs co-founded CovenantFlow to address it directly.
The published research
Relationship managers and credit-ops teams can spend 30–40% of their time chasing borrower financials, keying data into spreadsheets, and manually testing covenant thresholds.
Catalyze Labs insights20–30% of commercial loans experience at least one covenant breach during their life cycle, and in manual review cycles many go unnoticed for weeks or months.
Cited in Catalyze Labs insightsCovenant violations are significantly associated with lower operational efficiency — firms in violation invest less in capital and labour and operate less efficiently.
Hui L. James, 2023, cited in Catalyze Labs insightsUS banks have seen productivity decline roughly 0.3% annually since 2010 while costs continue to rise.
McKinsey & Company, cited in Catalyze Labs insights66% of banks set cost-savings targets above 10% of their cost base over three years; 59% identified digitization as the most important lever.
KPMG research, cited in Catalyze Labs insights
Challenge
Quarterly review cannot detect a problem that moves weekly.
The operating model is the problem, not the effort. Covenant testing on a quarterly cycle, against data gathered by hand, produces a picture of the portfolio that is accurate on the day it is assembled and decaying from that point on. By the time a breach surfaces, the options for remediation have narrowed.
- Borrower financials gathered by email and re-keyed into spreadsheets
- Thresholds tested manually, per loan, on a quarterly calendar
- Breaches surfacing weeks or months after the underlying deterioration
- Client conversations that begin at the breach rather than before it
- Portfolio-level covenant health assembled by hand for each report
Approach
First principles, not automation bolted onto spreadsheets.
Catalyze applies a blended framework — design thinking, agile delivery and first-principles thinking. Rather than automating the existing spreadsheet process, the team mapped the current workflow and its pain points, then asked what the ideal covenant-monitoring workflow would be: what the assets are (data, documents, alerts, relationships) and how they should interconnect for zero-friction operation.
System
What was built
A workflow-centric platform rather than a reporting tool. The unit of design is the covenant, not the report.
01
Automated data intake
Borrower financials, collateral reports, loan documents and covenant terms ingested automatically where the source allows it, rather than gathered by request.
02
Covenant modelling
Affirmative, negative and financial covenants mapped into a workflow engine with their thresholds, triggers and escalation paths made explicit.
03
Continuous monitoring
Borrower behaviour tested against thresholds on an ongoing basis rather than on a quarterly calendar, with trends visible between review points.
04
Alerting and engagement
Anomalies and breaches route to the right authority with the evidence attached, and borrowers are notified as part of the workflow rather than after it.
05
Audit-ready reporting
Portfolio-wide covenant health, process bottlenecks, capacity metrics and early-warning indicators produced from the system of record rather than reassembled per report.
Architecture
The system
Seven layers, built as one. The components named at each layer are what the platform actually consists of.
- 01
Source Systems
Where the raw obligations and evidence already live.
- Core banking
- Loan documents
- Borrower financials
- Collateral reports
- 02
Data Platform
Automated intake in place of email and re-keying.
- Automated ingest
- Document parsing
- Validation at boundary
- 03
Semantic Layer
One definition of a covenant, a threshold and a breach.
- Covenant taxonomy
- Threshold definitions
- Affirmative / negative / financial
- 04
AI / Model Layer
Extraction and interpretation of the documents that carry the terms.
- Statement extraction
- Term identification
- Anomaly detection
- 05
Agents
Continuous testing against the modelled thresholds.
- Covenant testing
- Trend monitoring
- Exception identification
- 06
Workflows
Triggers, escalations and the paths a breach travels.
- Trigger rules
- Escalation routing
- Borrower notification
- Remediation tracking
- 07
Operators
The people the system is built to give time back to.
- Relationship managers
- Credit operations
- Portfolio risk
- Audit-ready reporting
Implementation
How it runs
The core flow is five steps, and each one replaces something that was previously manual.
Technologies
Systems of record
- Core banking
- Loan servicing
- Document stores
Data
- Automated ingest
- Document parsing
- Covenant taxonomy
AI layer
- Statement extraction
- Anomaly detection
- Trend analysis
Workflow
- Trigger engine
- Escalation routing
- Audit trail
- 01
Ingest
Borrower financials, collateral reports, covenants and thresholds pulled in, automated wherever the source permits.
- 02
Map
Each covenant modelled into the workflow engine with its triggers, escalations and alerts.
- 03
Monitor
Dashboards show borrower behaviour against thresholds in real time, with red flags and trends.
- 04
Alert & engage
Anomalies route to the right authority, borrowers are notified, and remediation begins.
- 05
Report & improve
Analytics surface portfolio-wide covenant health, process bottlenecks, capacity metrics and early-warning insight.
Outcome
What the system is built to change
CovenantFlow shifts covenant management from a back-office burden to a front-office opportunity: rather than calling a borrower because there has been a breach, the conversation becomes a shared view of what the data says. These are the measures the platform is designed to move.
- Reduced manual effort — fewer hours per loan spent on monitoring, document gathering and spreadsheet work
- Faster detection — earlier warning of breaches, which widens the options for workout or remediation
- Lower unit cost of servicing across the portfolio
- Capacity uplift — time redirected from compliance monitoring into origination and borrower engagement
- Stronger risk controls, tied to the operational efficiency covenant compliance correlates with
Results
Deployment outcomes are specific to each bank's portfolio and operating model, and are covered by client confidentiality. We share measured results — hours per loan, time to detection, servicing cost per tranche, capacity redeployed — directly, under NDA.
Capabilities involved
What this system is made of.
Related insights
Our thinking on this.
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