Command
Capture the structured decision rationale when a deal is closed, passed, exited, or withdrawn — the qualitative WHY behind the outcome, tagged with risks/opportunities and pattern tags so crossdeallearningservice can surface it as a comparable deal later.
Command
Close the institutional-learning flywheel for a deal — record what the model predicted, then the realized post-close actuals (exit EV, IRR, MOIC), and score every prediction against what actually happened. This is the write side of the loop that /calibrate-vs-history and /similar-deals read from.
Command
Queue a regulator export pack — a tarball of every agentrun + agentspans + outputartifacts in a date window, mapped to a compliance framework's controls. Admin / compliance role required. The defensible-audit-trail deliverable.
Command
Persist a confirmed fact about an OloLand deal across sessions. Writes into dealsessionmemory so the next time you (or another analyst) open this deal, the fact is recalled automatically — confirmed EBITDA, sponsor name, IC date, working-capital convention, etc.
Command
Re-run an existing OloLand agent run against the current harness + skills (or byte-for-byte against the original methodology bytes). Admin / compliance role required. The regulator-grade reproducibility surface — used to demonstrate that a graded output can be reconstructed from snapshots, and to A/B the current…
Command
Render the 67-category risk matrix (311 tracked risk factors) as an interactive inline tile.
Command
Generate a structured risk report for a deal — 67-category taxonomy (311 tracked risk factors) with severity scoring, evidence links, and institutional patterns from similar deals.
Command
Run scenario stress tests, market-condition simulations, and real-options valuation from OloLand's deal-scoped scenario workbench.
Command
Find similar completed deals from your firm's history, or compare a metric across an attribute-filtered slice of the pipeline — transfer learning insights, accuracy patterns, and valuation benchmarks.
Command
Source deals — discover and persist targets, capture supported contacts, and prepare outreach copy for review.
Command
Ask a question about a deal and get a conversational, voice-optimized response — concise answers with rounded numbers and clear recommendations.
Command
Analyze SaaS cohorts and unit economics — NDR/GRR triangles, LTV/CAC, payback, anomalies vs. seller narrative.
Command
Read financial valuation evidence or explicitly run DCF, LBO, and Monte Carlo models with governed identity and assumption provenance.
Command
Review or preview OloLand's value-impact ledger for a deal or firm. Shows hours saved, labor/advisor cost avoided, platform cost completeness, and methodology snapshots.