Using AI for Covenant and KPI Tracking

Tracking financial covenants and key performance indicators is an important, ongoing task in finance — covenants because breaching them can have serious consequences with lenders, KPIs because they measure and drive the business’s performance — and it is an area where AI can assist with the monitoring, the analysis, and the reporting. AI can help track and report on covenants and KPIs, assisting with the ongoing monitoring and the communication of the position. But covenant tracking in particular is high-stakes — a missed or miscalculated covenant position can lead to an undetected breach with serious consequences — which means AI’s assistance must be used carefully, with the finance professional ensuring the tracking is accurate and reliable. For a finance professional or team looking to make covenant and KPI tracking more efficient, understanding where AI can help and how to use it while keeping the tracking reliable is useful. This guide addresses using AI for covenant and KPI tracking.

This guide is written for finance professionals looking to use AI to help with covenant and KPI tracking. It covers where AI can help with covenant and KPI tracking, why covenant tracking in particular requires accuracy and reliability, how to use AI while keeping the tracking sound, the safeguards required, and how to approach using AI for tracking sensibly. The aim is a practical understanding of how AI can help with covenant and KPI tracking, capturing the value of assistance with the monitoring and reporting while ensuring the tracking — particularly of covenants, where the stakes are high — remains accurate and reliable.

Where AI Can Help With Covenant and KPI Tracking

AI can genuinely help with parts of covenant and KPI tracking that suit its capabilities, and understanding these shows the value. AI can help with the ongoing monitoring — assisting with tracking the covenant and KPI positions over time, computing and updating them, and flagging changes or approaching thresholds — which can make the ongoing monitoring more efficient, though the finance professional must ensure it is accurate. AI can help with the analysis around the covenants and KPIs — drawing out patterns, analysing the trends, generating first-pass analysis of the positions — which the finance professional then examines and verifies.

AI can also help with the reporting and communication of the covenant and KPI positions — drafting the narrative, the commentary, the summaries that communicate the positions to management, the board, or others — which suits AI’s strength with text, providing first drafts the finance professional refines. And AI can assist with the routine, repetitive elements of tracking and reporting the covenants and KPIs, freeing the finance professional’s time. In these ways — the ongoing monitoring, the analysis, the reporting and communication, the routine elements — AI can help with covenant and KPI tracking, capturing value on the parts it suits. Understanding where AI can help with covenant and KPI tracking — the monitoring, the analysis, the reporting, the routine — helps a finance professional capture the value by using AI for the suitable parts. The help is real for these parts, and capturing it is where a finance professional makes covenant and KPI tracking more efficient with AI, while ensuring the accuracy and reliability that tracking — particularly of covenants — requires.

Why Covenant Tracking Requires Accuracy and Reliability

Covenant tracking in particular requires accuracy and reliability, and understanding why is essential to using AI for it safely. Financial covenants — the conditions in lending agreements that the business must meet — carry serious consequences if breached, potentially triggering lender action, penalties, or worse, so the business must track its covenant positions accurately and reliably to know whether it is meeting them and to anticipate any risk of breach. A covenant position that is miscalculated or missed — so that a breach or an approaching breach goes undetected — could lead to an undetected breach with serious consequences, or to the business failing to take action it could have taken had it known its position.

This means covenant tracking must be accurate and reliable, and using AI for it must not compromise this accuracy and reliability. Because AI can produce confident but wrong output, and because a miscalculated or missed covenant position can have serious consequences, any AI assistance with covenant tracking must be verified, and the accuracy and reliability of the covenant tracking must be ensured by the finance professional, not trusted to AI. The high stakes of covenants mean the tracking cannot be compromised by uncritical reliance on AI. Understanding why covenant tracking requires accuracy and reliability — because a miscalculated or missed covenant position can lead to a serious undetected breach — is essential to using AI for covenant tracking safely. Covenant tracking must remain accurate and reliable even when AI assists with it, and understanding this is key to using AI for covenant tracking without compromising it. KPI tracking, while generally lower-stakes than covenants, also benefits from accuracy, because KPIs inform the management and measurement of the business, and inaccurate KPI tracking could mislead.

How to Use AI While Keeping the Tracking Sound

Using AI for covenant and KPI tracking while keeping the tracking sound means using AI to assist with the monitoring, analysis, and reporting while the finance professional ensures the tracking is accurate and reliable. The finance professional can use AI to assist with the ongoing monitoring, the analysis, and the reporting, capturing the efficiency, while ensuring the covenant and KPI positions are accurately computed and reliably tracked — verifying the positions, particularly the covenants, are correct, and that any risk of breach is genuinely identified. AI assists the tracking, but the finance professional ensures the positions are accurate and the tracking reliable, especially for the high-stakes covenants.

This means the finance professional must verify the covenant and KPI positions that AI assists with computing, because an inaccurate position — particularly a covenant position — could mislead about the business’s compliance and risk. The finance professional must ensure the covenant tracking reliably identifies the position and any risk of breach, not trusting AI’s computation uncritically for something so consequential. For the reporting narrative, the finance professional ensures it accurately reflects the genuine positions. Using AI while keeping the tracking sound therefore means AI assisting with the monitoring, analysis, and reporting, while the finance professional ensures the positions are accurate and the tracking reliable, verifying particularly the covenant positions given their stakes. Understanding how to use AI while keeping the tracking sound — AI assists, the finance professional ensures accuracy and reliability — helps a finance professional use AI for covenant and KPI tracking without compromising it. Using AI to assist while keeping the tracking accurate and reliable is how a finance professional captures the efficiency while maintaining the reliable tracking that covenants in particular require.

The Safeguards Required

Using AI for covenant and KPI tracking safely rests on safeguards, given the accuracy and reliability required, particularly for covenants. The foundational safeguard is verifying the covenant and KPI positions that AI assists with computing — ensuring they are accurate — particularly the covenant positions, because a miscalculated covenant position can lead to an undetected breach with serious consequences. The finance professional must verify the positions rather than trusting AI’s computation, especially for the high-stakes covenants, ensuring the tracking accurately reflects the business’s actual compliance and risk. This verification of the positions is the essential safeguard.

Related safeguards include ensuring the covenant tracking reliably identifies the position and any risk of breach, so that an approaching or actual breach is genuinely detected; verifying AI’s analysis and reporting for accuracy; attending to data security, ensuring the financial data involved is protected; and maintaining the finance professional’s oversight of the tracking, particularly the covenants, not trusting AI uncritically for something so consequential. A finance professional who applies these safeguards — verifying the positions, ensuring reliable breach detection, verifying the analysis and reporting, data security, oversight — uses AI for covenant and KPI tracking safely; one who does not, particularly one who trusts AI’s covenant computation uncritically, risks an undetected breach. Understanding the safeguards required helps a finance professional use AI for covenant and KPI tracking without compromising it. The safeguards, particularly verifying the covenant positions, are what make AI use in covenant and KPI tracking safe, and applying them is essential given the serious consequences a miscalculated or missed covenant position can have.

How to Approach Using AI for Tracking Sensibly

A finance professional should approach using AI for covenant and KPI tracking sensibly, capturing the efficiency while keeping the tracking accurate and reliable. This means using AI to assist with the monitoring, analysis, and reporting, capturing the efficiency, while the finance professional ensures the positions are accurate and the tracking reliable, verifying particularly the covenant positions given their high stakes. It means applying the safeguards, especially verifying the covenant positions and ensuring reliable breach detection, so that AI assists the tracking without compromising the reliability that covenants require. And it means being especially careful with covenants given the serious consequences of a missed or miscalculated position.

Approaching AI use for tracking sensibly also means treating AI as an aid to the monitoring, analysis, and reporting, not a replacement for the finance professional’s assurance of the tracking’s accuracy and reliability, particularly for covenants. And it means verifying AI’s contributions thoroughly, because an inaccurate covenant position can have serious consequences. A finance professional who approaches AI use for tracking this way — using it for the suitable parts, ensuring accuracy and reliability, applying the safeguards, being especially careful with covenants, verifying — captures the efficiency while keeping the tracking sound; one who trusts AI’s covenant computation uncritically risks an undetected breach with serious consequences. Understanding how to approach using AI for tracking sensibly helps a finance professional capture the efficiency while keeping the tracking reliable. Approaching AI use for covenant and KPI tracking sensibly — capturing the efficiency while ensuring the accuracy and reliability that covenants in particular require — is how a finance professional benefits from AI in tracking without compromising the reliable tracking that guards against a serious covenant breach. This connects to the safe-use principles in where AI helps and where it is dangerous and the reporting task in AI for management reporting narrative.

Early Warning and Anticipating Breaches

One of the most valuable aspects of covenant tracking is the early warning it provides — identifying an approaching covenant breach in time to take action — and AI can assist with this, though the finance professional must ensure the early warning is reliable. Anticipating a covenant breach before it occurs allows the business to take action — addressing the underlying issue, engaging with the lender, seeking a waiver or amendment — that may avert the breach or manage its consequences, which is far better than discovering a breach after it has occurred. AI can assist with the forward-looking tracking that provides this early warning, helping to project the covenant positions and flag approaching thresholds.

The value of AI here is in assisting with the forward-looking monitoring that anticipates breaches, while the finance professional ensures the early warning is reliable — verifying the projected positions, ensuring the approaching thresholds are genuinely identified, and taking the judgement about the risk and the action. Because the early warning is valuable precisely when it matters most — when a breach is approaching — its reliability is critical, and the finance professional must ensure the forward-looking tracking reliably identifies approaching breaches, not trusting AI’s projection uncritically for something so consequential. A finance professional who uses AI to assist with the early warning — AI helping project the positions and flag approaching thresholds, the finance professional ensuring reliability and taking the judgement — captures the value of anticipating breaches while keeping the early warning reliable. Understanding how AI can assist with early warning and anticipating breaches helps a finance professional use AI for this valuable aspect of covenant tracking, capturing the forward-looking value while ensuring the reliability that the high-stakes early warning requires. The early warning is one of the most valuable aspects of covenant tracking, and using AI to assist it, with the finance professional ensuring reliability, captures that value while guarding against the danger of an unreliable warning missing an approaching breach.