Marketplace

Weighted risk score from activity staleness, close date validity, and contact engagement. Configurable weights and AI threshold.

Verifies claim processing timelines against state Unfair Claims Settlement Practices Act deadlines and renders a compliance checklist.

Audits claims, policy decisions, and regulatory disclosures for compliance exceptions and generates readiness summaries.

Compares contract clauses against a standard template and classifies deviations for risk assessment.

Verifies new policyholder identity per Bank Secrecy Act and FinCEN guidance, screening against OFAC, PEP, and adverse media.

Validates insurance regulatory filings against state requirements using AI extraction and renders a compliance checklist.

Tracks open compliance tasks, calculates days remaining, and highlights urgent deadlines.

Evaluates application risk across coverage, claims history, and geography to recommend underwriting actions.

Reviews credit decision factors for ECOA compliance, flags prohibited/proxy factors, and generates compliance checklist.

Validates new insurance applications against configurable eligibility rules and renders a compliance checklist.

Scans insurance deal emails for UCSPA and NAIC compliance issues using pattern matching and AI classification.

Checks if a competitor is recorded on the deal, then scans recent notes and emails for additional competitor mentions.

Computes key pipeline metrics for open deals: total deals, total value, weighted value, and near-term closures.

Lists deal contacts with AI-classified buying process roles (decision maker, champion, etc.) in a table.

Compares deal's time in current stage to stage average using stage entry timestamp and flags stagnation.

Shows contact's local time, timezone, business hours status, and next available window.

Generates three tailored cold emails using account industry and company size. Optionally incorporates product interest if available.

Lists all deals created in the last N days with key details, sorted by amount descending.

Generates a personalized email opening line using recent news about the contact and their company.

Instantly identifies deal risks: activity gaps, overdue close dates, and stale contacts. Shows AI analysis when risks are detected and enabled.

Identifies high-frequency support topics missing KB coverage by extracting, aggregating, and comparing ticket data against existing articles.

Summarizes support ticket email threads into key action items.

Analyzes campaign performance by type, calculates ROI and conversion metrics, and generates AI-powered optimization recommendations per campaign type.

Translates email body to English and drafts context-aware reply directly in original language. Note: Email body content is sent to AI provider for translation/drafting

Generates an executive case study from closed-won deal data, notes, and contacts.

Generates alternative subject lines and opening lines for marketing email drafts.

Computes weighted health subscores and provides AI-driven recommendations when health drops below threshold.

Shows the 10 most recent deal activities with type, subject, and relative timestamps.

Classifies the optimal next sales action for a deal based on stage, activity, and contacts, with AI-generated rationale.

Scans recent deal notes and emails for competitor mentions, compares against known competitors, and highlights new ones.

Analyzes recent deal email threads for sentiment and extracts specific objections.

Generates a structured, professional meeting agenda from deal context, recent activities, and associated contacts.

Identifies products purchased by similar accounts that this customer doesn't own. Shows adoption rate and revenue potential.

Computes churn risk score from support tickets, NPS, usage trends, and engagement. Generates retention actions when risk is high.

Calculates engagement score using email/meeting frequency and recency. Shows score summary and health checklist.

Analyzes all customer interactions to surface core wants, concerns, and decision criteria in a concise AI summary.

Groups open deals by owner with performance metrics, team benchmarks, and flags pipeline outliers (owners with total pipeline value <0.5x or >2x the team average pipeline per rep).

Summarizes calendar meetings, extracts action items, and logs them to the associated CRM deal.

Computes weighted renewal probability and generates AI retention plans for at-risk accounts.

Groups accounts by region with revenue summary and detailed postal code mapping for territory planning.

Analyzes win/loss reasons with revenue metrics and AI coaching insights.

Calculates no-show probability based on history, confirmation status, and invite timing.

Matches contact's industry and job title to pre-approved email snippets for quick copying.

Scans active property listings for unauthorized brand names, trademarked phrases, and copyrighted images. Cites 15 U.S.C. §1114.

Shows deal count, total revenue, and average deal size per pipeline stage. Stages sorted alphabetically (pipeline order requires stage metadata not available via current API).

Scores HubSpot accounts against your Ideal Customer Profile criteria and ranks them by fit score.

Extracts questions from uploaded RFP documents and drafts response suggestions using AI. Displays results as a reviewable table.

Alerts when other team members recently contacted contacts at this account to prevent duplicate outreach.

Recommends relevant sales assets (case studies, whitepapers, ROI calculators) based on deal stage and product interest using a predefined mapping table.

Identifies HubSpot accounts matching ICP criteria with no activity in specified period. Filters accounts created within last {{config.account_creation_lookback}} days (configurable) to optimize performance. Requires custom properties: 'icp_fit_score' (number) and 'last_activity_date' (date) on accounts.

Compares Loan Estimate and Closing Disclosure against 12 CFR §1026.19 tolerances and flags violations.

Ranks marketing qualified leads by conversion score based on engagement metrics and recency.

Calculates price increase percentage from deal fields and drafts a professional renewal email with value justification. Hashes contact name before AI processing.

Extracts text and alt-text from marketing assets, evaluates against state advertising rules, and renders a compliance checklist with statutory citations and penalty warnings.

Validates dual-agency disclosures and consent timing for same-brokerage transactions.

Generates a tailored reply to the latest inbound email based on thread sentiment, deal stage, and last notes.

Generates a structured handoff brief for reassigned deals, summarizing history, contacts, activities, and open issues.

Validates deal fields against stage-specific prerequisites and renders a readiness checklist.

Analyzes campaign performance, computes ROI and conversion rates, and provides AI-driven scaling recommendations.

Extracts key terms from commercial leases and classifies non-standard clauses for risk.

Extracts key obligations, renewal dates, and validates against jurisdiction-specific real estate regulations. Hashes PII before AI analysis. Requires structured lease data with pre-redacted obligation clauses.

Validates settlement statements against RESPA §8 and TRID tolerance rules, extracting and classifying referral fees and fee deltas.

Automates Anti-Money Laundering and Know Your Customer checks on deal contacts using public web search and AI risk analysis. Processes first 2 contacts associated with high-value property deals. Note: Contact names are required for effective analysis per regulatory requirements; ensure compliance with data processing agreements before use.

Validates property intended use and planned modifications against local zoning codes.

Extracts and analyzes Phase I Environmental Site Assessment documents for commercial property deals, classifying RECs per ASTM E1527-21 and CERCLA.

Shows days until/overdue status and traffic light indicator for deal close date.

Validates compliance documents against current regulatory requirements, highlighting gaps and suggesting corrections before submission.

Generates audit-ready compliance reports with complete evidence trails from deal transaction history.

Analyzes maintenance requests for safety/habitability regulation violations and flags urgent escalation needs using AI.

Validates real estate agency disclosure compliance before showings or offers, citing state statutes.

Shows open deals per sales rep with pipeline value and average deal size.

Validates real estate referral/commission splits against RESPA Section 8 (12 U.S.C. §2607) compliance rules.

Scans CRM records for sensitive PII patterns and maps findings to applicable regional regulations.

Extracts and analyzes HOA documents for buyer concerns like rental caps, pet policies, and assessments.

Verifies compliance with 15 U.S.C. §1681m adverse action notice requirements for denied rental applications.

Lists the 20 most recent deals marked closed-lost in the past 30 days with key details.

Validates deal amount field presence, positivity, and stage-appropriate range compliance.

Pulls deal activities, sorts chronologically, and uses AI to highlight key compliance decision points.

Shows days since last email/call/meeting and total interactions in the last 90 days.

Scans recent transactions for structuring, frequency anomalies, rapid policy changes, and geographic inconsistencies. Flags accounts for SAR filing per BSA/FinCEN guidelines.

Analyzes response times and engagement in the latest email thread with a contact.

Generates LinkedIn posts, tweet threads, and newsletter paragraphs from a CMS blog post.

Checks days since last activity and flags overdue follow-ups on CRM records.

Classifies accounts into revenue/engagement tiers with grouped table output.

Tracks proposal expiration status and days remaining on deal pages.

Shows days until contract renewal with threshold-based alerts and expired contract handling.

Dynamically generates call preparation checklist items based on deal stage, competitor data, and product interest.

Identifies deals that moved backward in pipeline stages within the lookback period.

Searches public content for contacts with LinkedIn profiles and suggests personalized engagement comments using AI.

Lists deals with no activity in the last N days, sorted by inactivity duration.

Generates a tailored 3-email cold outreach sequence based on account industry and pain points.

Identifies open deals with no activity beyond threshold, grouped by owner with pipeline value metrics and percentage of total stale pipeline.

Finds 3 available meeting times respecting rep's calendar and contact's business hours/timezone.

Renders a 6-item health checklist for contact data completeness and validity.

Validates presence of critical contact fields when viewing a contact record.

Shows all deals associated with a contact: open deals table, closed-won total value, closed-lost count, open pipeline value, and historical win rate.

Scans saved deal listings and email threads for FHA protected-class violations and renders a compliance findings table.

Verifies Residential Lead-Based Paint Hazard Reduction Act compliance for properties built before 1978.

Validates commission splits against total, checks signatures, and ensures roles are documented before closing.

Tracks open compliance tasks with urgency-based sorting and visual status indicators.

Analyzes insurance application risk using coverage amount, claims history, and geographic factors. Provides risk classification and actionable recommendations.

Computes days since last email/call/meeting and recent interaction count for contact view.

Analyzes renewal risk factors 60 days pre-renewal. Computes weighted risk score, recommends action, and cites state notice requirements for non-renewal cases.

Checks deal.competitors field and uses AI to scan recent notes/emails for new competitor mentions.

Computes weekly pipeline metrics across all open deals.

Lists deal contacts with AI-classified roles and confidence scores.

Analyzes email thread response times against SLA and engagement metrics.

Displays deals created in the last N days sorted by amount descending.

Computes weighted risk subscores for activity, close date, and contacts, with optional AI narrative.

Searches recent public news for a contact and company, then generates a warm, professional icebreaker sentence referencing a specific event.

Three-check risk assessment for deal health. AI analysis runs when enabled and risks are detected.

Finds and classifies recent news for contacts in target lifecycle stages. Shows only significant events.

Forecasts pipeline by month with weighted totals and AI narrative.

Identifies high-frequency support topics missing from knowledge base articles. Scalability note: For large ticket volumes, adjust `min_occurrences` or `lookback_days` to optimize performance.

Summarizes recent ticket email threads into ask, attempted, unresolved, and next steps.

Translates contact emails to English and drafts professional replies in the original language.

Generates subject line and opening line alternatives for marketing email drafts using AI.

Displays the most recent deal activities with relative timestamps and truncated subjects.

Checks days since last activity on contact/deal/ticket and shows overdue status or missing data.

Classifies accounts into revenue/engagement tiers with grouped table output.

Computes a 0-100 engagement score based on recent emails, meetings, and touch recency.

Identifies sales reps with pipeline significantly above/below team average. Flags outliers based on configurable threshold.

Calculates renewal probability using usage, NPS, tickets, and engagement metrics. Generates AI retention plan when risk is high.

Groups US accounts by region using zip code mapping, computes revenue metrics, and displays sorted regional performance.

Identifies open deals with no activity beyond threshold and displays stalest deals first.

Groups open deals by pipeline stage with deal count, total value, and average deal size. Sorted by pipeline stage order.

Detects when multiple sales reps have engaged contacts at an account within the configured window. Shows warning with involved rep names and activity table when overlap occurs.

Identifies deals that moved backward in pipeline stages within the lookback period and displays regression details.

Finds contact's recent LinkedIn posts and drafts personalized engagement comments.

Computes 4-component health score with traffic-light status visualization.

Identifies high-ICP accounts with no recent outbound activity for re-engagement prioritization.

Proposes 3 meeting slots respecting rep availability, contact business hours, and timezone constraints.

Validates six critical contact data points for completeness and accuracy.

Summarizes open/won/lost deals for a contact with win rate calculation.

Evaluates new insurance claims for fraud indicators using rule-based checks and AI consistency analysis.

Evaluates deal close date validity and timeline realism with a traffic-light checklist.