80+ examples across departments and industries — a starting point, not a limit. Describe what you need and we'll work with you to build it.
Pipeline acceleration, lead qualification, CRM hygiene, and deal intelligence.
Scrapes directories, enriches contact data, scores using BANT/CHAMP/MEDDIC, drafts personalized outreach messages.
Pulls attendee backgrounds, recent company news, open action items — a one-page brief before every meeting.
Scans CRM for duplicate contacts, stale opportunities, missing fields. Merges, cleans, and alerts on degradation.
Extracts commitments, action items, owners, and deadlines from transcripts. Syncs structured notes back to CRM.
Analyzes deal velocity, win rates, stage durations. Alerts when a deal stalls or risks slipping.
Monitors competitor websites, pricing pages, job postings, social media. Alerts on positioning changes.
Takes an RFP document, researches the company, pulls relevant case studies, drafts a structured response.
Content pipelines, competitive intelligence, SEO, and social media management.
Monitors industry feeds, YouTube channels, RSS, and newsletters. Drafts social posts and newsletter content from what's trending.
Takes one asset (podcast, video, blog) and produces LinkedIn posts, Twitter threads, and newsletter drafts in brand voice.
Crawls pages, audits meta tags, headers, keyword density, internal links. Produces a prioritized fix list.
Monitors comments and mentions, triages by urgency (support vs. spam vs. engagement), drafts suggested replies.
Spots emerging competitors and tech trends from news, social, and industry publications.
Monitors conversion rates, campaign velocity, content performance. Alerts when metrics slip below thresholds.
From a campaign brief, generates N ad variants (headlines, body, CTAs) across channels — A/B test ready.
Status reporting, risk detection, vendor research, document generation, onboarding.
Compiles project updates across teams, flags blockers, and delivers a daily or weekly status brief.
Catches timeline delays, resource conflicts, and scope creep before they become problems.
Researches suppliers, compares pricing, reads reviews, and shortlists options against your criteria.
Generates SOC 2, ISO 27001, CMMC, and NIST policy documents from plain-language descriptions.
From signed contract: sends welcome docs, creates accounts, schedules kickoff, triggers the full workflow.
Produces branded Word/PDF documents from structured inputs — reports, proposals, compliance artifacts.
Periodically checks system snapshots and restore paths. Produces step-by-step DR documentation.
Code review, debugging, feature development, infrastructure monitoring, and DevOps automation.
Every PR gets SAST security scanning, style enforcement, and quality gates before merge. Catches hardcoded credentials and unsafe imports.
Given an error trace, traces data flow, forms hypotheses, tests fixes, and verifies the solution.
Full cycle: write failing tests, implement until green, refactor, branch, commit, PR — all in under 30 minutes.
Validates libraries, APIs, and approaches by spinning up disposable experiments and reporting findings.
Flags at-risk support tickets before SLA breaches, prioritizing by severity and time remaining.
Proactively monitors CPU, memory, disk, and network — alerts before minor issues become incidents.
Analyzes legacy code, generates modern equivalents, reviews 9M+ lines across thousands of files.
Analyzes AWS/Azure/GCP spend, identifies idle resources, recommends rightsizing and reservations.
Summarizes major incidents for leadership — impact, root cause, timeline, and remediation steps.
Password resets and user provisioning across Azure AD, Okta, GitHub, and Salesforce with approval workflows.
Ticket deflection, triage, knowledge management, and sentiment monitoring.
Handles common queries (order status, password reset, billing) autonomously. Escalates complex issues with full context.
Classifies tickets by type and urgency, routes to the right team, suggests resolution from KB articles.
Identifies KB gaps, auto-drafts articles from resolved tickets, and keeps documentation current.
Monitors conversations for negative sentiment and churn risk language. Alerts the team before a customer slips.
Sends CSAT surveys after ticket resolution, collects feedback, and identifies trends in satisfaction scores.
Onboarding, candidate sourcing, policy Q&A, surveys, and employee lifecycle automation.
Orchestrates IT, HR, and manager tasks for new hires — accounts, equipment, buddy assignment, document collection.
Answers employee questions about HR policies from handbooks, benefits docs, and compliance training.
Finds and ranks candidates from job boards and professional networks. Learns from hiring manager feedback.
Runs recurring employee surveys, monitors participation, and finds patterns in open-ended responses.
Identifies themes across departing employees — manager issues, comp concerns, culture fit — and flags patterns.
Checks balances, submits requests, tracks approvals via chat/Teams/Slack.
Contract review, expense auditing, document processing, and compliance workflows.
Scans vendor contracts, flags problematic clauses, checks compliance policies, highlights risks.
Parses 12,000+ credit agreements per year, extracting 150 data attributes per document in seconds.
Validates expenses against policy, flags violations, and routes to the appropriate approver.
Secure self-service for pay stubs, tax withholdings, and direct deposit changes via chat.
Extracts data from invoices, matches to purchase orders, routes for approval, and updates ERP.
Compares actuals against budget, explains variances, and alerts when overruns exceed thresholds.
Content operations, client reporting, media monitoring, and new business research.
Monitors industry feeds, drafts social posts and newsletter content from what's trending.
Pulls campaign metrics, formats branded reports with insights and recommendations.
Tracks brand mentions, competitor campaigns, and sentiment across channels.
Scans ad platform data, identifies underperformers, suggests budget reallocation.
Given a prospect name, researches company, campaigns, tech stack, and competitive landscape.
Document review, contract analysis, case research, due diligence, and brief drafting.
Scans discovery documents, identifies relevant passages, tags by issue or privilege.
Extracts key terms (indemnification, termination, liability caps) from contracts in seconds.
Searches case law, statutes, and regulations. Produces a memo with citations.
Reviews M&A documents for conflicting terms, unclear obligations, and compliance gaps.
Validates time entries against client guidelines, flags write-down risks.
Drafts initial versions from structured inputs (facts, arguments, citations). Partner reviews and files.
Policy renewals, claims triage, compliance monitoring, underwriting support, client communication.
Reviews upcoming renewals, compiles risk changes, drafts renewal documentation.
Classifies incoming claims by type and severity, routes to adjuster, checks for fraud signals.
Tracks regulatory filing deadlines, license renewals, and state-specific requirement changes.
Researches applicant background, finds risk factors, summarizes for underwriter review.
Drafts policy change notifications, renewal reminders, and claims status updates.
Predictive maintenance, inventory, supply chain, quality assurance, and supplier management.
Monitors sensor data, predicts equipment failure, schedules preemptive repairs.
Analyzes sales velocity and lead times. Generates purchase orders at stock thresholds.
Tracks shipments, predicts delays from weather/geopolitics, suggests route alternatives.
Reviews inspection data, flags batches outside spec, identifies defect patterns.
Tracks on-time delivery, defect rates, pricing, and responsiveness per supplier.
Property research, lease abstraction, deal tracking, listings, and tenant communication.
Compiles comps, zoning info, tax records, and market trends for any address.
Extracts key terms (rent escalations, renewal options, CAM charges) from lease documents.
Monitors active deals, tracks stage progression, alerts on stale or at-risk transactions.
From property specs, generates listing descriptions across platforms.
Drafts lease renewal letters, maintenance notices, and rent increase notifications.
Government contracting, security audits, patch management, alert triage, and client health scoring.
Scans federal contracting daily, qualifies against capabilities, delivers ranked go/no-go list.
Weekly scan of sign-in anomalies — failed MFA, legacy auth, anomalous locations.
Correlates CVEs against client infrastructure, produces prioritized patching plan.
Reads RMM alerts, deduplicates, correlates, routes — reduces noise from thousands.
Aggregates ticket volume, resolution time, backup status into a per-client score.
These capabilities apply across every department and vertical.
Researches context, composes, adds compliance footer, presents for human review.
Branded Word/PDF docs from structured inputs — reports, proposals, compliance artifacts.
Given a topic or company, compiles a structured brief with sources.
Transcript in, structured summary out — owners, deadlines, blockers, action items.
Validates, transforms, and writes data to target systems (CRM, spreadsheets, databases).
Watches data sources, alerts on changes matching defined criteria.
Listens in channels, answers questions, takes actions, delivers reports in-tool.
Aggregates data from multiple sources, produces formatted reports with charts.
Coordinates meeting times, sends invites, handles rescheduling.
Based on real failures from Reddit, case studies, and our own experience.
Klarna reversed full automation after discovering complex emotional interactions need humans. AI employees augment judgment, not replace it.
Therapy, negotiation, sensitive HR conversations, and executive-level relationship building.
Medical diagnosis without human review, legal advice without attorney supervision, financial compliance without auditor sign-off.
Highly creative work (brand strategy, artistic direction) where the process IS the value.
If the AI employee can't read the data or write to the system, it can't execute.
The pattern is consistent: AI employees handle volume, structure, and repetition. Humans handle judgment, relationship, and creativity. The best deployments keep both.
