Vendor-Ready or Not? The Direct Lending Operations Checklist

Internal scoping before inviting vendors

Direct lending firms eventually reach a point where spreadsheets and manual document review stop scaling: too many loans, too many covenants to track by hand, too many notices arriving in too many formats. The instinct is to start evaluating vendors for a modern operating model. But real due diligence starts with understanding your own requirements and the goals you want a system to achieve, not with a demo.

What “done right” looks like

Firms that skip straight to vendor demos often discover mid-implementation that they:

• Never agreed internally on what “done” looks like
• Never fully mapped how loan documents and covenant data move through the firm today
• Never assembled the cross-functional team the project actually required

That work resurfaces later as delays, budget overruns, or a platform that is ill-suited for how the portfolio actually operates. The cost of skipping it rarely shows up on the original project plan; it shows up three months into implementation as rework.

Use this checklist to get your organization implementation-ready before you start evaluating specific direct lending technology. It’s designed to surface the internal groundwork worth doing first, so that whichever platform you eventually choose, the evaluation is grounded in requirements you’ve already validated rather than a feature list a vendor handed you.

Strategic alignment and business case

Every implementation eventually gets judged against a definition of success, so it’s worth setting that definition before a vendor is in the room. Are you trying to cut the time it takes to clear a covenant test each quarter? Reduce the manual work behind a borrowing-base certificate? Give the investment team same-day visibility into dry powder before committing to a new deal? Each of these implies different priorities and different ways of measuring whether the project worked.

Just as important is confirming that the sponsorship and budget behind the initiative match its scope. A direct lending operating model touches portfolio management, treasury, fund accounting, and compliance, so a project without a clear executive sponsor tends to stall the first time it needs a cross-team decision.

☐ Have you defined, in specific and measurable terms, what success looks like for this implementation, and who is accountable for it?

☐ Do you have executive sponsorship and a budget that matches the scope of a cross-functional, multi-team implementation?

Current-state loan and document inventory

You can’t scope a new operating model against requirements you haven’t written down. That starts with a complete inventory of what the model actually needs to support: every loan structure, covenant type, payment-in-kind feature, and related hedge across the book, including the bespoke terms that don’t fit a standard template.

The same discipline applies to documents. Credit agreements, drawdown notices, amendments, and borrower financials all arrive differently, whether through an agent portal, an email attachment, or a fax, and most firms have never fully documented which counterparty delivers what, in which format, on what schedule. That inventory becomes the specification a new operating model has to meet, and skipping it is how firms end up mid-implementation discovering a document type nobody accounted for.

☐ Have you inventoried every loan structure, covenant type, and hedge your current process supports, including the bespoke terms and exceptions?

☐ Have you mapped every document and data source feeding your current process, including the format, frequency, and delivery method for each?

☐ Have you mapped and visualized your loan workflow from front to back, including every handoff between systems, teams, and counterparties?

Gap analysis and pain point prioritization

With the current state documented, the next step is to be honest about where it actually breaks. Most firms already know, informally, which covenant tests require the most manual chasing, where a borrowing-base calculation nearly went out wrong, or which liquidity questions take days to answer instead of minutes. The goal here is to turn that informal knowledge into a prioritized list of requirements.

Prioritizing matters because not every gap carries equal risk. A slow report is an inconvenience; a missed covenant breach or an overdrawn borrowing base is a serious problem. If your firm has had a near miss, that incident is worth documenting explicitly as a requirement, since it’s the clearest evidence of where your current process is exposed.

☐ Have you identified, specifically, where manual covenant testing, borrowing-base validation, or liquidity checks create the greatest risk of error today?

☐ Have you ranked those gaps by business impact, so the highest-risk problems drive your requirements rather than the most visible ones?

Systems integration and data readiness

A direct lending operating model doesn’t operate in isolation. It needs to integrate with every counterparty touching a loan: agents, servicers, fund administrators, custodians, and the market-data or rating-agency feeds that support valuation. Each connection carries its own complexity depending on whether data arrives by API, file transfer, or a PDF that has to be read by hand.

It’s also worth taking stock of your data quality baseline before you implement, not after. Inconsistent conventions for rate resets, PIK capitalization, or covenant definitions across your book won’t go away just because you’ve adopted new infrastructure; they’ll simply resurface as data quality exceptions in the new system unless you’ve planned for the cleanup work up front.

☐ Have you listed every agent, servicer, administrator, custodian, and data provider your new operating model will need to integrate with, and how each currently delivers data?

☐ Have you assessed your source data well enough to know which loans, terms, or conventions will require cleanup or normalization during migration?

Organizational readiness and governance

Implementations succeed or fail on people and process as much as on technology. That means assembling a cross-functional team, typically spanning portfolio management, treasury, fund accounting, and compliance, with clear ownership and decision rights before the project starts, not once the first disagreement comes up.

It also means agreeing on how the transition itself will work. Will you run your legacy process alongside the new operating model until covenant results and cash positions are validated, or cut over directly? Both approaches are reasonable, but only one fits your risk tolerance and timeline, and that’s a decision worth making deliberately rather than defaulting into.

☐ Have you assembled a cross-functional implementation team with clear ownership spanning portfolio management, treasury, fund accounting, and compliance?

☐ Have you agreed on a migration approach, along with a realistic timeline for each phase?

Where this leaves you

This groundwork doesn’t disappear once you start evaluating platforms, it becomes the basis for that evaluation. A clear business case tells you which capabilities actually matter. A complete loan and document inventory tells you what an operating model has to support. A prioritized gap list tells you where to focus the hardest questions. And organizational alignment tells you whether your firm is actually ready to absorb the change, regardless of which platform you choose.

Direct lending’s document-driven, covenant-heavy nature makes this groundwork especially important: a platform’s fit rarely becomes clear until it’s tested against the bespoke loan structure or the covenant nobody remembers how to calculate by hand. No technology, however capable, can compensate for skipping the internal readiness work above.

Once you’ve worked through this checklist, you’re in a position to evaluate a modern direct lending operating model on the merits, not on how good the demo looks.