Curated prompts, skills, and workflows, ready to use

Turn your QuickBooks AR and AP aging exports into a defensible 13-week rolling cash forecast that flags the exact weeks your balance dips below your minimum.

Feed in your five AARRR funnel numbers and get the single stage bleeding the most growth, plus three prioritized experiments to fix it.

Turn one account's current footprint into a ranked whitespace map of cross-sell and upsell plays, each with a trigger, buyer, and opening pitch.

Paste your AI acceptable-use policy and vendor terms, and get every clause conflict, enforcement gap, and missing prohibition flagged with redline fixes.

Model whether saving an at-risk AI account is worth the cost — save margin, breakeven success probability, and the assumption that flips the call.

Paste your agent tool-registry and IAM scope export to find over-permissioned AI agents — blast-radius ranked with a least-privilege scope fix for each tool.

Diagnose why AI answer engines skip your page, then rewrite it into quotable, citation-ready passages that ChatGPT and Perplexity actually surface.

Walk into the audit committee's AI oversight session with branching answers to every hard question board members and external auditors will fire at you.

Paste your AI decision-log and appeals export to see which automated decisions lack a lawful explanation or appeal route — exposure-ranked with a per-system remediation.

Paste your monthly AI usage-billing export and get a data-grounded full-year reforecast — burn-rate trended, overrun-flagged, with a per-system tighten-or-cap call.

Pressure-test your AI budget ask against a 12-gate CFO checklist before the funding meeting — scored, gap-flagged, with the exact evidence to bring.

Paste your engineering cost and vendor quote data to get a 3-year build-vs-buy TCO comparison per AI capability — breakeven-dated with a build, buy, or hybrid call.

Paste your NetSuite GL export and see which AI project costs qualify for capitalization vs. expense — each line ruled, evidence-tested, and paired with a reclass entry.

Paste your ServiceNow change-request export and get every AI-system change scored for rollout readiness — blast-radius ranked with a go/hold/stage call for each.

Paste your Drift or Intercom AI chatbot conversation export and see which bot-captured leads are actually sales-ready — quality-scored with a route, nurture, or discard call.

Paste your GA4 campaign export and see which content and channels actually drove pipeline — waste-flagged, ROAS-ranked, with a reallocate-or-cut call for each.

Paste your HRIS headcount and AI copilot usage exports to see which teams actually gained hours from AI — lift-ranked with a scale, coach, or reclaim call per team.

Paste your renewal book and AI-feature commitment data to see which accounts bought outcomes they never realized — gap-ranked with a defend, de-risk, or renegotiate call.

Model whether an account's AI seat expansion pays for itself — break-even seat count, payback month, and the usage threshold that makes or kills the deal.

Paste your Salesforce or CS-platform seat-provisioning export and see which deployed AI copilot seats never reached active value — ranked with a reclaim, re-enable, or coach call.

Paste your AI usage-and-billing export and get true cost-per-outcome for every AI system — margin-ranked, waste-flagged, and paired with a unit-economics fix.

Paste your AI system data-flow export and see which prompts, logs, and embeddings cross borders without a lawful transfer mechanism — exposure-ranked with a per-route fix.

Paste your customer contract clause export and find where your AI features breach promises you already made — exposure-ranked with a remediate, carve-out, or notify call.

Paste your dbt or Airflow DAG run export and find which AI-feeding data pipelines miss freshness SLAs or break lineage — ranked with a fix per table.