ololand-ai/ololand-plugins

ololand-ai/ololand-plugins

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Generate or read the latest 14-section Confidential Information Memorandum (CIM) for a deal, built from OloLand's reconciled deal data rather than LLM prose.

ololand-ai/ololand-plugins

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Request or inspect buyer-side advisory engagements attached to a deal.

ololand-ai/ololand-plugins

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Browse recent AI financial-services moves captured by OloNet's competitive scanner — competitor product launches, partner integrations, regulatory signals, pricing changes, personnel moves. Each move includes a source URL, signal strength, and the recommended OloLand response surface.

ololand-ai/ololand-plugins

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Review underwriting assumption controls for a deal — open, blocking, and IC-readiness state. Walks the middle-office assumption ledger that gates IC approval.

ololand-ai/ololand-plugins

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Apply your firm's historical projection accuracy to recalibrate the current deal's revenue, EBITDA, and risk projections. Surfaces systematic biases (e.g. "your firm consistently overestimates revenue growth by 15% in deals like this").

ololand-ai/ololand-plugins

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Search OloLand's company-discovery surface using structured or natural-language criteria, then hand promising targets into watchlists or deals.

ololand-ai/ololand-plugins

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Run deal-scoped compliance analysis for OFAC screening, HSR threshold review, and CFIUS risk. Uses OloLand's context-aware compliance workbench.

ololand-ai/ololand-plugins

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Run the deal's bounded due-diligence extraction pipeline — financial snapshot, five-dimension risk extraction, and target-only commercial findings. Valuation, forensic QoE, conflict detection, war-game, and memo generation are separate explicit actions.

ololand-ai/ololand-plugins

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Submit a correction on a claim in an OloLand agent output (e.g., a wrong number, a missing citation). The correction lands in OloLand's analystcorrections store stamped surface=cowork and feeds the SFT pipeline.

ololand-ai/ololand-plugins

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Run a third-party merger analysis on an announced or rumored acquisition. Use when the user is not a principal in the deal (banker, equity analyst, merger-arb, antitrust counsel, target board, journalist). Runs on Developer as part of the bounded single-deal trial.

ololand-ai/ololand-plugins

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Check per-side data readiness (target / acquirer / combined) for a merger-analysis deal. Zero-credit read.

ololand-ai/ololand-plugins

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Re-run one or all four merger engines on an existing merger-analysis deal with optional input overrides. Useful for sensitivity analysis (e.g., halved synergies).

ololand-ai/ololand-plugins

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Create or update charts, KPI rows, tables, and infographics on the deal canvas — every value bound to an engine or a citation, never invented.

ololand-ai/ololand-plugins

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Summarize deal health, open actions, and meeting-prep blockers from OloLand's deal-health surface.

ololand-ai/ololand-plugins

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Search documents in a deal's data room — full-text + semantic search across uploaded PDFs, financials, legal docs — plus literal/structural document navigation (list, read, grep, sections, tables, notes).

ololand-ai/ololand-plugins

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Analyze an earnings-call transcript for management tone, topic risk, guidance deltas, and deal-relevant diligence signals.

ololand-ai/ololand-plugins

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Prepare acquisition financing for a deal — deterministic financing analysis, capital-provider sourcing prep, rule-governed capital-programme eligibility signals, and internal lender pre-read packages.

ololand-ai/ololand-plugins

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Read how accurate your firm's own past predictions have been — prediction accuracy, systematic biases, risk-category precision, and the fields analysts keep overriding. Firm-wide, not deal-scoped.

ololand-ai/ololand-plugins

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Read the firm's standing institutional playbook attached to this deal — WACC ranges, EV/Revenue and EV/EBITDA ceilings, target IRR, min MOIC, approval thresholds, preferred frameworks, custom rules. Use at the start of any deal turn that produces a number under the firm's name.

ololand-ai/ololand-plugins

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Pre-flight check before IC package approval. Surfaces both blocker tiers (open critical assumptions AND unsupported high-priority assumptions) plus weak-evidence warnings that won't block but should be reviewed.

ololand-ai/ololand-plugins

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Draft an in-session IC investment memo with one bounded Monte Carlo run using the skeptical tile-stitching pattern — public-facts refresh, individual engine tiles, web fetches, and explicit gap-vs-finding framing. Refuses to render against a stale stored deal record or an unbound simulation.

ololand-ai/ololand-plugins

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Generate or approve the canonical OloLand IC package, while preserving assumption-control and verifier-gate blockers.

ololand-ai/ololand-plugins

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Inspect an OloLand agent run end-to-end — the run header (model, tokens, cost, status), the full span tree (every tool call, model call, compaction event), and the grader verdict if any. The observability M2a surface for reviewers, auditors, and the admin UI.

ololand-ai/ololand-plugins

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Run one of OloLand's cloud-hosted deal specialists on a deal — risk mapping, forensic QoE, pre-LOI screening, financing prep, IC memo drafting, or the multi-agent IC coordinator that runs risk + forensic + memo specialists in parallel. Each specialist reads the deal through OloLand's scoped, audited tool rail and…