Bridgecroft Capital is a mid-market buyout firm evaluating several new platform investments per year. Marcus Webb, VP of Acquisitions, owns the financing assumptions section of each LBO model — debt sizing, coupon projections, and debt-service coverage. Every IC submission requires regime-specific scenario tables that hold up under cross-examination by senior partners and debt arrangers.
Static LBO templates absorbed a 500-bps rate swing without surfacing it
Standard LBO model templates encode a single financing rate and project it unchanged through the hold period. The 2-year Treasury — the benchmark driving most leveraged-loan pricing — moved from 0.09% to 5.19% within a single decade, a range of more than 500 basis points. On 21.8% of trading days over that period, the 10s-2s yield curve was inverted, compressing refinancing flexibility in ways a flat-rate model cannot represent.
At 450 bps credit spread, all-in cash interest ranges from approximately 4.86% in a low-rate regime to 8.74% in a high front-end regime. Under a 6.0x leverage / 40% EBITDA-to-FCF structure, interest burden moves from 0.29x to 0.52x EBITDA — a 23-percentage-point gap large enough to stall deleveraging before any operational miss.
Producing regime tables manually meant pulling raw Treasury CSVs, defining thresholds, computing cost-of-debt by bucket, and reconciling outputs to the LBO template — a multi-hour rebuild per deal, with threshold choices buried in spreadsheet cells no reviewer ever questioned.
Energent.ai replaced the multi-tool rebuild with a single-session deliverable
Marcus uploaded the daily Treasury CSV directly. The agent handled the full stack:
- Defined three rate regimes with explicit thresholds: ultra-low (2Y below 1%), normalized (1%–3.5%), and high front-end (2Y at or above 3.5%)
- Computed all-in cost-of-debt by regime at 450 bps spread, producing figures the team could cite directly in an IC memo
- Modeled interest burden and paydown sensitivities under the 6.0x leverage / 40% FCF structure across all three regimes
- Built an interactive HTML dashboard and a standalone written analysis from seven validated CSV outputs
- Self-verified before delivery — flagged and corrected a comparison-basis error in the valuation-pressure section before the file left the session
No raw-data wrangling. No thresholds buried in Excel. No separate reviewer to catch comparison errors.
Regime cutoffs the investment committee could challenge, not just accept
- Explicit thresholds in the narrative. The three regime cutoffs appear in the written analysis, giving the IC a specific assumption to push back on rather than an opaque output number.
- Seven sourced CSV outputs. All metrics trace back to the same uploaded raw file — no intermediate manual steps to break the chain.
- Built-in self-verification. The agent's pass caught a comparison-basis error in the valuation-pressure section before delivery, an issue manual spreadsheet work would have required a separate reviewer to find.
- Reusable across deals. The regime framework is anchored to observable historical benchmarks, portable across transactions without rebuilding from scratch.
How Marcus runs it deal-to-deal
- Upload the daily Treasury rate CSV for the benchmark period.
- Agent defines regime thresholds, computes bucket frequencies, and derives all-in rates by regime at the deal's credit spread.
- Agent models interest burden and paydown sensitivities; packages the dashboard, CSVs, and written narrative.
- CSV outputs feed into the existing LBO model template; the written analysis drops directly into the IC memo.
A 388-bps cost-of-debt range quantified before the IC, not after
- All-in cash interest at 450 bps spread: approximately 4.86% (ultra-low regime) to 8.74% (high front-end) — a 388-bps range a static template absorbed invisibly.
- Interest burden under 6.0x leverage: 0.29x EBITDA to 0.52x EBITDA — a 23-percentage-point spread large enough to stall deleveraging before any operational shortfall.
- Yield curve inversion frequency: 21.8% of trading days — a refinancing risk flat-assumption templates had no mechanism to surface.
- Seven validated CSVs plus an interactive dashboard delivered in one session, replacing a multi-hour manual rebuild per deal.
"The agent treated the regime definitions as the thing that had to be defended first, before any output number. The IC can push back on the assumption rather than just the result." — Marcus Webb, VP of Acquisitions at Bridgecroft Capital