Use Cases

AI Employees for Every Business

From solo founders to enterprise teams - see how AI employees transform operations

For Small Businesses & Startups

Whether you're a solo founder or a team of 50, AI employees let you operate like a company 10x your size without the overhead.

Tech Startup Save 15h/week

Technical Support for SaaS

Situation: A 12-person SaaS startup receives 80+ support tickets daily. The 2-person support team can't keep up, response times average 18 hours, and technical founders are pulled from product work.

The AI employee:
  • Responds to all tickets within 3 minutes, 24/7
  • Resolves password resets, billing questions, and how-to queries automatically
  • Escalates complex bugs with full context to developers
  • Creates help articles from recurring questions
Result: 78% tickets auto-resolved. Response time dropped to 4 minutes. Support team now focuses on product feedback.
Marketing Agency 10x output

Content Production at Scale

Situation: A 6-person marketing agency manages social media for 15 clients. Each client needs 20 posts/month plus blogs and newsletters. Team works weekends to meet deadlines.

The AI employee:
  • Learns each client's brand voice from existing content
  • Generates monthly social calendars with captions and hashtags
  • Writes first drafts of blog posts from bullet points
  • Creates newsletter content ready for client review
Result: Agency took on 8 new clients without hiring. Team works normal hours. Revenue increased 45%.
E-commerce +28% sales

24/7 Pre-Sales Support

Situation: An online furniture store gets 200 daily visitors but only 3% convert. Customer surveys show buyers have questions about dimensions, materials, and delivery that go unanswered.

The AI employee:
  • Answers product questions instantly from catalog data
  • Compares products based on customer needs
  • Calculates delivery times and shipping costs
  • Recovers abandoned carts with personalized follow-ups
Result: Conversion rate jumped to 4.8%. Average order value up 15% through smart recommendations.
Real Estate Never lose leads

Lead Response & Qualification

Situation: A solo real estate agent gets 40 leads/month from Zillow and Realtor.com. While showing properties, leads go cold. Studies show 78% of buyers work with the first agent who responds.

The AI employee:
  • Responds to every lead within 2 minutes, any time of day
  • Qualifies budget, timeline, and neighborhood preferences
  • Schedules showings directly on agent's calendar
  • Sends relevant listings and follows up automatically
Result: Lead conversion up 52%. Agent closed 4 more deals/month worth $32K in additional commission.
Law Firm -70% intake time

Client Intake & Screening

Situation: A 4-attorney personal injury firm gets 50 web inquiries/week. Paralegals spend 3 hours daily on initial screening, 60% of which don't meet case criteria.

The AI employee:
  • Handles initial intake via chat and email 24/7
  • Collects accident details, injuries, and insurance info
  • Screens based on statute of limitations and case value
  • Schedules qualified leads with the right attorney
Result: Attorneys now only speak with pre-qualified clients. Case acceptance rate up 35%. Paralegal handles higher-value work.
Medical Practice -55% no-shows

Patient Scheduling & Reminders

Situation: A 3-dentist practice loses $12K/month to no-shows. Front desk is overwhelmed and can't send reminder messages. Patients forget appointments.

The AI employee:
  • Books appointments via chat and email 24/7
  • Sends personalized reminders at 7 days, 2 days, and 2 hours
  • Handles rescheduling and fills cancellation slots
  • Collects pre-visit forms and insurance info
Result: No-shows dropped from 18% to 8%. Front desk now focuses on in-office patients. $7K/month revenue recovered.
Consulting Save 12h/week

Proposal & Report Writing

Situation: A 3-person management consulting firm spends 10 hours per proposal. Senior partners waste time on formatting and boilerplate instead of strategy.

The AI employee:
  • Drafts proposals from meeting notes and templates
  • Formats deliverables with consistent branding
  • Creates executive summaries from detailed reports
  • Researches industry benchmarks and competitors
Result: Proposal time cut to 3 hours. Partners bill 15 more hours/week. Won 2 additional clients from faster turnaround.
Restaurant +40% reservations

Reservation & Inquiry Handling

Situation: A popular bistro misses 30% of online inquiries during dinner rush. Customers go elsewhere when they can't book. Instagram DMs pile up unanswered.

The AI employee:
  • Handles reservation requests via Instagram DMs and website chat
  • Books tables instantly based on availability
  • Answers menu questions including allergens and specials
  • Manages waitlist and sends table-ready notifications
Result: No more missed inquiries. Reservations up 40%. Staff focuses on service.
Freelance Dev 2x clients

Client Communication & Admin

Situation: A freelance developer bills 25 hours/week but spends 15 hours on emails, scope discussions, meeting scheduling, and invoice follow-ups. Can't scale without burning out.

The AI employee:
  • Responds to client emails professionally within hours
  • Schedules calls based on calendar availability
  • Sends weekly progress updates to all clients
  • Follows up on unpaid invoices politely but persistently
Result: Admin time dropped to 5 hours/week. Developer took on 3 more clients. Income up 60%.
Fitness Studio +35% signups

Lead Nurturing & Class Booking

Situation: A yoga studio gets 100 website visitors/day but only 5 book trials. Instagram DMs pile up unanswered. Potential members lose interest before getting info.

The AI employee:
  • Engages website visitors with class recommendations
  • Responds to Instagram and Facebook inquiries instantly
  • Books trial classes and sends prep instructions
  • Follows up after trials with membership offers
Result: Trial bookings tripled. 35% more monthly memberships. Owner focuses on teaching, not selling.
Accounting Firm -80% Q&A time

Tax Season Client Support

Situation: A 5-person CPA firm handles 400 tax returns. During peak season, accountants spend 3 hours daily answering "where's my refund?" and "what documents do I need?" calls.

The AI employee:
  • Answers status questions using firm's tracking system
  • Sends personalized document checklists to clients
  • Reminds clients about missing paperwork
  • Schedules appointments with the right accountant
Result: Accountants reclaimed 3 hours daily for billable work. Client satisfaction up. Zero missed deadlines.
Home Services +50% bookings

Service Booking & Dispatch

Situation: A plumbing company with 8 technicians misses online inquiries when trucks are out. Competitors respond first and win the job. Website form submissions go unanswered for hours.

The AI employee:
  • Responds to all website and email inquiries instantly, 24/7
  • Books jobs based on technician availability and location
  • Provides accurate quotes from service menu
  • Sends confirmation and technician ETA updates
Result: No more missed leads. Booking rate up 50%. Emergency requests captured 24/7.

For Growing Companies

You have established processes but need to scale efficiently. AI employees optimize operations across departments without ballooning headcount.

Finance -75% processing

Accounts Payable Automation

Situation: A 200-person manufacturing company processes 1,500 invoices monthly. AP team of 3 works overtime during month-end close. Payment errors strain vendor relationships.

The AI employee:
  • Extracts data from invoices in any format (PDF, email, scan)
  • Matches invoices to POs and flags discrepancies
  • Routes approvals to appropriate managers
  • Prepares payment batches and tracks early-pay discounts
Result: Processing time dropped 75%. Captured $45K/year in early payment discounts. AP team reassigned to strategic finance work.
HR 24/7 support

Employee Service Desk

Situation: HR team of 4 supports 350 employees across 3 time zones. 65% of inquiries are PTO balance, benefits, and policy questions. HR business partners can't focus on strategic initiatives.

The AI employee:
  • Answers policy questions from employee handbook
  • Provides PTO balances and processes requests
  • Explains benefits options during enrollment
  • Guides new hires through onboarding checklist
Result: 82% queries auto-resolved. HR freed up 20 hours/week. Employee satisfaction scores improved.
Sales +40% pipeline

SDR Team Augmentation

Situation: B2B software company has 8 SDRs handling inbound leads. Average response time is 6 hours. Studies show leads contacted within 5 minutes are 21x more likely to convert.

The AI employee:
  • Responds to every form submission within 2 minutes
  • Qualifies leads based on BANT criteria
  • Books demos directly on AE calendars
  • Enriches lead data from LinkedIn and company website
Result: Response time under 3 minutes. Qualified pipeline up 40%. SDRs focus on outbound and complex deals.
Customer Success -30% churn

Proactive Account Health

Situation: SaaS company with $5M ARR has 3 CSMs managing 400 accounts. Only top 40 accounts get regular attention. Mid-market churns silently.

The AI employee:
  • Monitors login frequency and feature adoption
  • Sends personalized tips based on usage patterns
  • Flags at-risk accounts with specific reasons
  • Schedules QBRs and creates prep documents
Result: Every account gets proactive outreach. Churn dropped from 8% to 5.5%. Saved $180K ARR in first year.
Marketing 3x output

Content Operations

Situation: Marketing team of 6 manages blog, social, email, and sales enablement. Content requests from sales take 2 weeks. Blog cadence slipped from weekly to monthly.

The AI employee:
  • Drafts blog posts from SEO briefs
  • Creates social media content calendars
  • Writes email sequences from campaign briefs
  • Generates case studies from customer interviews
Result: Back to weekly blog cadence. Sales content turnaround under 3 days. Team handles 3x more campaigns.
Operations -50% delays

Supplier Coordination

Situation: Distribution company works with 80 suppliers across Asia and Europe. Time zone gaps cause 3-day response delays. PO confirmations get lost in email chains.

The AI employee:
  • Sends POs and follows up for confirmation
  • Tracks shipments and alerts on delays proactively
  • Coordinates with freight forwarders across time zones
  • Updates inventory forecasts based on transit times
Result: PO confirmations within 24 hours. Delivery delays cut 50%. Inventory carrying costs down $200K/year.
Support Scale without hiring

Tier-1 Technical Support

Situation: IoT platform has 15,000 active devices. Support team of 6 handles 400 tickets/week. Common issues (connectivity, firmware) consume 70% of time.

The AI employee:
  • Guides users through connectivity troubleshooting
  • Walks through firmware update procedures
  • Checks device status from monitoring dashboard
  • Escalates hardware issues with diagnostic data
Result: 65% tickets auto-resolved. Support team handles complex integration cases. Scaled to 25,000 devices without hiring.
Recruiting -60% screening time

Candidate Screening & Scheduling

Situation: Fast-growing company hiring 50 roles. 2 recruiters screen 500 applicants monthly. Calendar coordination takes 4 hours daily. Top candidates accept other offers while waiting.

The AI employee:
  • Screens resumes against job requirements
  • Sends pre-screening questionnaires
  • Schedules interviews across time zones
  • Keeps candidates warm with company updates
Result: Time-to-screen dropped from 5 days to 1 day. Offer acceptance rate up 25%. Recruiters focus on senior roles.
IT -70% tickets

Internal IT Helpdesk

Situation: IT team of 4 supports 300 employees. Password resets, VPN issues, and software requests are 75% of volume. Infrastructure projects constantly delayed.

The AI employee:
  • Handles password resets with secure verification
  • Guides VPN and WiFi troubleshooting
  • Processes software access requests
  • Escalates hardware issues with diagnostics
Result: Ticket volume down 70%. IT team completed 3 delayed infrastructure projects. Employee satisfaction with IT improved.
Legal -80% review time

Contract Review Assistance

Situation: In-house legal team of 2 reviews 100 vendor and customer contracts quarterly. Each review takes 4 hours. Sales deals wait 2 weeks for legal approval.

The AI employee:
  • Extracts key terms and compares to standards
  • Flags non-standard liability and IP clauses
  • Highlights payment terms and auto-renewal language
  • Creates executive summaries for attorneys
Result: Initial review time dropped to 45 minutes. Contract turnaround under 3 days. Sales cycles shortened.
Product Better decisions

Customer Feedback Analysis

Situation: Product team receives feedback from support tickets, NPS surveys, sales calls, and social media. Data is siloed. Feature decisions based on loudest voices, not patterns.

The AI employee:
  • Aggregates feedback from all channels
  • Categorizes by feature, sentiment, and urgency
  • Identifies trends and repeated requests
  • Creates weekly insight reports for product team
Result: Discovered 3 high-impact features requested by 40%+ of users. Roadmap decisions backed by data. NPS improved 15 points.
Compliance Always audit-ready

Policy & Compliance Support

Situation: Financial services firm must maintain SOC 2 and handle regulatory inquiries. Compliance team of 2 spends 40% of time answering internal policy questions.

The AI employee:
  • Answers employee questions about policies
  • Guides through compliance procedures
  • Tracks policy acknowledgments
  • Prepares audit documentation from systems
Result: Compliance team focuses on strategic risk management. Audit prep time cut in half. Zero compliance findings in last audit.

For Enterprise Organizations

Deploy AI employees across departments to transform operations at scale. Self-hosted for complete data control and compliance.

IT -60% tickets

Global IT Service Desk

Situation: Multinational with 8,000 employees across 12 countries. IT helpdesk handles 15,000 tickets monthly. Night shift coverage costs $400K/year. Average resolution time is 18 hours.

The AI employee:
  • Provides 24/7 support in 8 languages
  • Handles password resets, VPN, and software requests
  • Guides troubleshooting with step-by-step instructions
  • Escalates with full diagnostic context
Result: 60% tickets auto-resolved. Night shift eliminated, saving $400K/year. Resolution time dropped to 4 hours.
HR Scale globally

Global HR Shared Services

Situation: Enterprise with 5,000 employees in 20 countries. HR handles 2,000 inquiries monthly about local policies, benefits, and payroll. HR partners spend 60% on administrative tasks.

The AI employee:
  • Answers country-specific policy questions
  • Explains local benefits and enrollment
  • Processes common HR transactions
  • Supports in local languages across time zones
Result: HR partners reclaimed 25 hours/week for strategic work. Consistent employee experience globally. Satisfaction scores up 22%.
Customer Support Scale infinitely

Omnichannel Support Center

Situation: Telecom with 200,000 monthly support tickets via chat, email, and social media. Holiday promotions require 150 temp agents. Training takes 4 weeks. Quality inconsistent.

The AI employee:
  • Handles billing, plan changes, and service inquiries via chat
  • Provides real-time guidance to human agents
  • Creates conversation summaries and action items
  • Identifies upsell opportunities during interactions
Result: 55% inquiries handled without human agent. Eliminated temp hiring. Agent productivity up 30%. CSAT improved 18%.
Legal -85% review time

Contract Lifecycle Management

Situation: Legal department reviews 2,000 contracts annually. Each contract takes 6 attorney hours. $8M spent on outside counsel for overflow. Deal velocity constrained by legal bottleneck.

The AI employee:
  • Analyzes contracts against playbook automatically
  • Flags high-risk clauses with explanations
  • Suggests redlines based on negotiation history
  • Tracks obligations and renewal dates
Result: Initial review time dropped 85%. Outside counsel spend down $5M/year. Contract cycle time cut from 4 weeks to 5 days.
Knowledge $2M+ productivity

Enterprise Knowledge Assistant

Situation: 3,000 employees can't find information across SharePoint, Confluence, Salesforce, and 50 other systems. Studies show employees spend 2.5 hours daily searching for information.

The AI employee:
  • Searches across all enterprise systems
  • Summarizes long documents on demand
  • Answers questions with source citations
  • Identifies outdated or conflicting information
Result: Search time reduced by 70%. Equivalent of $2.1M annual productivity gains. Knowledge silos eliminated.
Finance -70% close time

Financial Close Automation

Situation: Global company with 15 subsidiaries. Month-end close takes 12 days. Finance team of 25 works overtime. Manual reconciliations cause errors and restatements.

The AI employee:
  • Automates intercompany reconciliations
  • Identifies and investigates variances
  • Prepares flux analysis with explanations
  • Generates close checklists and tracks completion
Result: Close reduced from 12 days to 4 days. Overtime eliminated. Zero restatements in past year.
Procurement -40% costs

Strategic Sourcing Support

Situation: Procurement team manages $500M annual spend across 2,000 suppliers. Analysts spend 80% of time on data gathering. Limited visibility into spend patterns.

The AI employee:
  • Analyzes spend patterns and identifies savings
  • Researches suppliers and creates comparison matrices
  • Tracks contract compliance and pricing
  • Prepares RFP responses for evaluation
Result: Identified $4M in consolidation savings. RFP evaluation time cut 60%. Analysts focus on negotiations.
Compliance Always audit-ready

Regulatory Compliance Monitoring

Situation: Financial institution subject to GDPR, SOX, and industry regulations. Compliance team of 8 struggles to track changes across 200 regulatory sources. Audit prep takes 6 weeks.

The AI employee:
  • Monitors regulatory updates and summarizes impacts
  • Maps regulations to internal controls
  • Tracks policy attestations and training completion
  • Prepares audit documentation packages
Result: Always audit-ready. Regulatory tracking automated. Audit prep reduced from 6 weeks to 1 week.
Sales Ops +25% win rate

Deal Desk & Quote Support

Situation: Enterprise software company with 200 sales reps. Deal desk handles 500 custom quotes monthly. Average turnaround is 3 days. Pricing inconsistencies across deals.

The AI employee:
  • Generates quotes from deal parameters
  • Applies pricing rules and discount guidelines
  • Flags deals requiring approval with rationale
  • Creates proposal documents from templates
Result: Quote turnaround under 4 hours. Pricing consistency improved. Win rate up 25% from faster response.
Supply Chain -35% stockouts

Global Supply Chain Coordination

Situation: Manufacturer with 500 suppliers across 30 countries. Supply chain team spends 50% of time on status updates and coordination. Disruptions cause production delays.

The AI employee:
  • Tracks shipments across all carriers in real-time
  • Proactively alerts on potential disruptions
  • Coordinates with suppliers across time zones
  • Suggests alternative sourcing when issues arise
Result: Stockouts reduced 35%. Production planning improved. $3M saved from avoided expedited shipping.
Customer +20 NPS points

Enterprise Customer Onboarding

Situation: Enterprise software vendor with 6-month implementation cycles. Customer success team stretched across 200 accounts. Time-to-value averaging 120 days. Churn highest in first year.

The AI employee:
  • Guides customers through implementation steps
  • Answers configuration questions 24/7
  • Tracks milestones and alerts CSMs to blockers
  • Creates training content for customer teams
Result: Time-to-value reduced to 75 days. First-year churn down 40%. NPS improved 20 points.
Security Faster response

Security Operations Support

Situation: SOC team handles 10,000 alerts monthly. 95% are false positives. Analysts burned out from alert fatigue. Mean time to investigate: 45 minutes per alert.

The AI employee:
  • Triages alerts and enriches with threat intelligence
  • Correlates related events across systems
  • Provides investigation playbooks for analysts
  • Documents incidents and creates reports
Result: Investigation time cut to 12 minutes. False positive filtering improved. Analysts focus on real threats.

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