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AI workers for Analysis & Insights

AI workers for analysis turn customer comments, business metrics and research into findings you can check. Compare like-for-like evidence, keep the source references, and separate observed changes from possible explanations.

• Email Category Classifier Decision model Sorts a window of inbox mail into your own categories and returns one typed row per message, so an agent can read the shape of an inbox in one call.
• Sheets Lead Qualification Decision model Returns lead-fit classifications from spreadsheet rows against your ideal customer profile.
• Meeting Entity Relevance Finder Decision model Finds matching meeting that was actually about a customer, project, vendor, person or topic you name, including the internal ones the target was never invited to.
• Email Jev Classifier Decision model Sorts a window of inbox mail into your own categories and returns one typed row per message, so an agent can read the shape of an inbox in one call.
• Daily Competitor Promotion and Price Monitor Language model Monitor competitor stores daily and flag new promotions, price drops, and meaningful offer changes.
• Sheets Jev Classifier Decision model Classifies spreadsheet rows into your own categories and returns typed results for the calling agent.
• Calendar Jev Classifier Decision model Sorts the week ahead into your own meeting categories and returns one typed row per event, so an agent can read the shape of a calendar in one call.
• Email Entity Relevance Finder Decision model Finds matching message that is actually about a customer, project, vendor, person or topic you name, internal and external, and names the false positives a keyword search returns silently.
• Document Content Relevance Decision model Finds documents whose readable content addresses your chosen topic or business requirement.
• Weekly Influencer Marketing Report Language model Posts a weekly influencer marketing report to Slack from Influencer Hero: results against the week before, the creators and posts that drove them, pipeline and payouts due.
• Idea Grill Language model Interrogates a product or business idea with the hard questions before anyone builds it, checks the market, and writes a one-page verdict.
• Customer Complaint Miner Language model Mines Reddit and public review pages for the ten complaints people make most about a product or category, each with verbatim quotes and links.
• Weekly Cancellation Reasons Digest Language model Pulls every Stripe subscription cancelled in the last seven days into one Monday digest: why customers left, in their own words, grouped by reason, with the monthly revenue each group took with it.
• Cross-Team Dependency Review Language model Explains which project dependencies need a named owner or decision.
• Leadership Decision Evidence Language model Extracts recorded decisions, open choices and conflicting commitments from a working channel.
• Company Operating Review Workflow Language model Combines project dependencies and leadership decisions into a short operating review.
• SDR Account Qualification Brief Language model Builds a sourced account brief for a sales development handoff.
• Buyer Commitment Review Language model Separates buyer commitments from seller proposals in a sales conversation.
• Sales Handoff Workflow Language model Turns account evidence and buyer correspondence into an SDR-to-AE handoff and discovery agenda.
• Pipeline Data Consistency Review Language model Explains pipeline fields and deal records that undermine a forecast review.
• Forecast Assumption Review Language model Checks forecast spreadsheet assumptions and reconciles the arithmetic shown in a bounded range.
• Pipeline Forecast Review Workflow Language model Reconciles a forecast sheet with CRM pipeline evidence and explains assumptions that need review.
• Customer Outcome Evidence Language model Reviews documented customer goals, milestones and success measures for a CSM.
• Adoption Meeting Review Language model Explains customer adoption blockers and commitments from recent meeting notes.
• Customer Success Plan Workflow Language model Combines account outcomes and customer meeting evidence into a reviewable success plan.
• Recurring Support Problem Review Language model Explains repeated support symptoms and drafts an evidence packet for escalation.
• Support Runbook Gap Review Language model Checks whether current support guidance addresses a specific reported problem.
• Support Resolution Planning Workflow Language model Combines support cases and runbooks into an escalation packet and proposed resolution guidance.
• Campaign Measurement Review Language model Explains campaign performance changes with comparable metrics and explicit data limitations.
• Campaign Brief Evidence Review Language model Checks campaign objectives, target audience and success measures in the approved brief.
• Campaign Learning Workflow Language model Combines campaign results and the campaign brief into a testable learning plan.
• Editorial Claim Review Language model Checks a content draft for unsupported factual claims and unclear audience promises.
• Audience Question Evidence Language model Summarizes recurring audience questions from a chosen content-feedback channel.
• Evidence-Based Content Brief Workflow Language model Combines draft claims and audience questions into a sourced editorial brief for review.
• Search Demand Evidence Review Language model Explains query and page demand shifts without confusing average position with a fixed rank.
• Landing Page Outcome Review Language model Reviews whether selected landing pages produce the intended site outcomes.
• Search Conversion Opportunity Workflow Language model Connects search demand and landing-page outcomes to propose specific content improvements.
• Partner Opportunity Evidence Language model Builds the account and opportunity context for a joint partner plan.
• Partner Commitment Review Language model Extracts partner commitments and unresolved handoffs from business correspondence.
• Partner Account Planning Workflow Language model Combines shared opportunity context and partner commitments into a joint account plan draft.
• Community Question Review Language model Finds unanswered substantive questions in a selected community channel.
• Community Answer Source Review Language model Finds supported documentation for a supplied community question.
• Community Answer Planning Workflow Language model Combines open community questions and documentation into answer drafts and expert handoffs.
• Customer Problem Evidence Review Language model Extracts customer problems and contrary evidence from product discovery meetings.
• Roadmap Commitment Review Language model Explains current product commitments and dependencies relevant to a proposed opportunity.
• Product Opportunity Brief Workflow Language model Connects customer problem evidence with roadmap commitments to draft a product opportunity brief.
• User Research Observation Review Language model Turns study notes into traceable observations, interpretations and open research questions.
• Usability Issue Evidence Review Language model Checks documented usability issues for reproducible steps and testable acceptance criteria.
• Design Validation Planning Workflow Language model Combines user-study evidence and usability issues into a focused validation plan.
• Release Change Evidence Review Language model Explains the actual changes and unresolved checks for a named release candidate.
• Release Acceptance Review Language model Checks release scope against recorded acceptance and QA evidence.
• Release Readiness Workflow Language model Combines code changes and acceptance evidence into a reviewable release readiness packet.
• Incident Timeline Evidence Language model Reconstructs a cited incident timeline from a selected response channel.
• Incident Action Follow-Through Language model Reviews corrective actions for ownership, verifiable completion and prevention value.
• Incident Learning Workflow Language model Combines incident timelines and corrective actions into a blameless learning review.
• Access Register Evidence Review Language model Checks a supplied access or asset register for missing ownership, expiry and review evidence.
• IT Request Closure Review Language model Checks access and asset service requests for recorded completion evidence.
• Access Review Preparation Workflow Language model Combines an access register and IT requests into an accountable access-review packet.
• Tracked Security Finding Review Language model Explains tracked security findings, affected components and missing remediation evidence.
• Security Control Guidance Review Language model Finds approved control guidance relevant to a tracked security condition.

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