Continuation Vehicles, AI Drafted Diligence, and Recovery Analysis Redefine Private Markets

By DripPublished

The gist

This week, PE and growth teams are shifting from pure capital deployment to workflow design, recovery discipline, and repeatable operating systems.

This week’s developments

Continuation Vehicles Become a Standard Exit Tool

This week’s cluster of continuation-fund deals shows liquidity engineering moving from exception to core exit execution: HarbourVest and Willow Tree Credit Partners raised about $730 million for a private credit vehicle, LGT Capital Partners led a €125 million single-asset continuation fund for Arche MC2, Pantheon backed BlackRock TCP Capital Corp.’s $523 million vehicle, Coller Capital launched a £500 million fund for Pharmacy2U, Eurazeo structured a near-$1 billion continuation for HR Path, and I Squared Capital closed a $600 million fund for Inkia Energy. At the same time, the secondaries market hit a record $121 billion, while PE firms in India are reportedly revising exit plans as IPOs slow and M&A remains constrained.

The pattern now spans healthcare, software, energy, and private credit, making continuation vehicles and secondaries a standard part of exit design rather than a fallback. That shifts the job for investors and deal teams: DPI management is no longer a back-end concern, but something to plan for early in the hold period.

For practitioners, the edge will come from modeling liquidity options, pricing structured exits, and coordinating LP, buyer, and advisor dynamics before a sale or IPO is the only path left.

How should your team adapt exit planning across every seniority level?

If you're an individual contributor

  • Exit work now rewards liquidity structuring, not just deal sourcing.
  • Build fluency in continuation funds and secondaries so you can help shape exits early, not just react when a sale stalls.

Sources

If you manage a team

  • Your team must learn to engineer exits, not wait for one.
  • Coach juniors on liquidity options, pricing, and LP dynamics; the value is shifting from process execution to structured exit judgment.

If you lead the organization

  • DPI planning is now part of the investment model, not the cleanup phase.
  • Rework hold-period planning, talent, and advisor coverage around structured exits; continuation vehicles are becoming a core path, not a fallback.

Sources

Diald and AWS Turn Underwriting and Diligence Into Drafted Workflows

Diald’s launch pushes CRE underwriting closer to a default workflow: an address or offering memo now produces an initial underwriting file with a pro forma, key assumptions, market and neighborhood data, comps, and an underwriting narrative. The shift is not just speed. Qualitative synthesis is now generated alongside the baseline model, and Diald’s Neighborhood Investment Rating and Confidence Score make the machine’s preliminary judgment visible instead of buried in a spreadsheet.

That same move from assisted review to drafted execution is showing up elsewhere in the stack. AWS launched AgentCore for M&A diligence automation, packaging multi-agent workflows for target screening, DCF and comparable-company valuation, strategic-fit analysis, and compliance validation with audit trails. Monday.com, Outreach, DocuSign, and Coupa also kept expanding automation across screening, diligence, contract execution, and operational review.

For deal teams, the work is moving from building the first draft to validating assumptions, tracing evidence, and escalating exceptions. Juniors will be judged less on output assembly and more on judgment quality; managers will need tighter control points so faster drafts become IC-ready decisions, not just more volume.

How should we redesign underwriting review and hiring now?

If you're an individual contributor

  • First-draft underwriting is commoditizing; your edge is judgment now.
  • Learn to audit AI outputs, test assumptions, and spot bad comps fast—your value shifts from assembling files to defending the call.

Sources

If you manage a team

  • Your team will be judged on review quality, not how fast they draft.
  • Coach juniors on exception handling and evidence tracing; tighten review gates so AI drafts become IC-ready, not just more output.

Sources

If you lead the organization

  • Manual diligence is fading; your operating model must price in AI review.
  • Rework staffing and IC controls around validation, audit trails, and escalation—hire for AI fluency before the market forces it.

Sources

Recovery Analysis Is Replacing Leverage as the Core Credit Test

SLR warned this week that private credit recoveries could be lower in a default because covenant erosion has weakened lender protections, with the sharpest risk in sponsor-backed cash-flow loans to lower-growth borrowers with thin interest coverage. The warning is backed by market data: McKinsey says covenant-lite direct lending rose to 21% of deals in 2025 from 4% in 2023, and the Federal Reserve estimates post-default value at about 33% for direct loans versus 52% for syndicated loans.

That matters because financing diligence is shifting from “how much debt can we raise?” to “what happens when the structure breaks?” Even with reported BDC non-accruals near 2% and direct-lending interest coverage around 2.0x, the stress appears concentrated in weaker credits, not the whole market. For PE and growth teams, near-term maturities, thin coverage, and looser documentation now deserve more scrutiny than headline leverage.

For practitioners, the edge is in credit-structuring judgment: build downside recovery cases, pressure-test covenants, and engage lenders earlier. Debt can no longer be treated as a late-stage execution step; it is now a core part of IC quality and portfolio risk management.

How should we underwrite recoveries across seniority levels now?

If you're an individual contributor

  • Your edge is no longer leverage math; it's recovery judgment.
  • Get sharper on downside cases, covenants, and lender docs so you can spot weak credits before IC does.

Sources

If you manage a team

  • Your team must learn to underwrite breakage, not just upside.
  • Coach analysts to pressure-test recoveries and maturity walls, not just model leverage and returns.

Sources

If you lead the organization

  • Credit risk now lives in recovery quality, not headline leverage.
  • Shift diligence and portfolio reviews toward covenant erosion, sponsor terms, and recovery assumptions.

Sources

Sector Expertise Is Turning Into Standalone Operating Platforms

Trinity Hunt launched a value creation platform anchored by Fisher Management Partners, built to acquire consulting firms with complementary capabilities, geographies, or industry specializations. The firm is packaging senior “Working Partners” into an in-house, productized execution layer meant to drive operational excellence, performance improvement, and enterprise transformation through hands-on delivery, extending its Value Creation Plans beyond internal fund support into a commercial services business.

Astorg took a similar platform approach in healthcare by spinning out Thermo Fisher Scientific’s global microbiology diagnostics business, sold under the Remel and Oxoid brands, into an independent company built around recurring, consumables-driven testing workflows in clinical, pharmaceutical, and food safety markets. Astorg expects growth from operational improvement, organic expansion, and bolt-on M&A.

For investors and operators, the message is clear: sector theses are no longer just underwriting narratives. They are becoming repeatable operating platforms. If you work in PE, diligence, or portfolio operations, the edge is shifting toward proprietary playbooks, domain depth, and the ability to scale execution across add-ons rather than relying on financial engineering alone.

How should we build a reusable sector operating platform?

If you're an individual contributor

  • Sector expertise is becoming a productized operating skill, not just diligence.
  • Build repeatable playbooks and hands-on problem-solving depth; that’s what makes you indispensable on platform builds and add-ons.

Sources

If you manage a team

  • Your team must move from analysis support to reusable execution capability.
  • Coach for domain depth, pattern recognition, and delivery quality across deals; the winners will scale playbooks, not just produce decks.

Sources

If you lead the organization

  • Sector theses now need an operating model, not just an investment memo.
  • Design teams, incentives, and partner networks to scale a proprietary value-creation platform; otherwise your edge stays non-repeatable.

Sources

Part of these trends

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