AI agents for business teams
AgentNava's library has 46 AI agents across 9 departments, each written for one job with step-by-step workflows you can read before you hire it. Hire one as it is or change it in plain English; it runs on a schedule, on an event or on request, and checks with you before the steps its instructions mark as risky.
AI agents for sales teams
Lead qualification and follow-up
Keeps the top of your pipeline full and warm, researches accounts, qualifies leads, and runs personalized outreach that sounds human.
Outbound prospecting
Finds and researches ideal-customer-profile prospects, then hands sales a warm, well-briefed list.
Sales call coaching
Reviews recorded sales calls and scores them against your playbook with concrete next steps.
Customer renewals and expansion
Spots renewal risk and expansion signals across your accounts before they slip.
Sales forecasting
Rolls the pipeline into a weekly forecast with the deals and risks that move the number.
CRM data cleanup
Keeps CRM records clean, deduped, and current so the pipeline you see is real.
Sales meeting prep
Briefs your AEs before every meeting and tracks the next step on each deal.
AI agents for marketing teams
Ad campaign performance
Watches ad spend across channels and flags what to cut, scale, or fix.
Email marketing
Drafts and segments lifecycle email campaigns that read like a person wrote them.
Marketing analytics
Turns web and campaign data into a weekly growth report leadership can read.
Marketing trend monitoring
Tracks market and topic trends worth acting on before competitors do.
Brand voice review
Checks copy against your brand voice and guidelines before it ships.
AI agents for customer support teams
Support ticket triage
The calm, fast first line: triages every ticket, resolves tier-1 from your knowledge base, and routes the rest with full context.
Live chat support
Handles live chat and resolves tier-1 questions, escalating cleanly when needed.
Knowledge base management
Finds knowledge-base gaps from real tickets and drafts new articles to close them.
Customer sentiment analysis
Reads tickets for sentiment and churn signals and surfaces at-risk customers.
SLA tracking and escalation
Watches SLAs and escalates the right tickets with full context, on time.
Voice of customer analysis
Rolls up feedback into themes product and CS can actually act on.
Customer onboarding
Guides new customers through setup step by step so they reach value fast.
AI agents for HR teams
Recruiting and candidate screening
Screens applicants and shortlists fairly against the role's real requirements.
Interview scheduling
Coordinates interview loops across everyone's calendars without the back-and-forth.
HR policy questions
Answers employee policy and benefits questions from the handbook, accurately.
Performance reviews
Drafts and compiles review cycles fairly, grounded in real examples.
Employee engagement surveys
Runs pulse surveys and surfaces morale trends before they become attrition.
AI agents for finance teams
Accounts receivable
Chases overdue invoices with polite, timely nudges until they are paid.
Cash flow forecasting
Projects runway and cash position weekly so there are no surprises.
AI agents for operations teams
Daily team briefings
Assembles a daily ops digest from your calendar, chat, and docs.
Meeting notes and follow-ups
Summarizes meetings and files action items where they won't get lost.
Project management
Keeps projects on track and flags blockers before they become slips.
Spreadsheet data validation
Keeps spreadsheets and trackers up to date so the numbers are trustworthy.
SOP documentation
Documents and maintains standard operating procedures people actually follow.
Inventory management
Watches inventory levels and flags reorders before you run out.
AI agents for legal teams
Regulatory change monitoring
Watches regulations and flags what actually applies to your business.
Privacy and policy compliance
Answers policy questions and keeps the handbook current and findable.
AI agents for IT teams
Bug triage
Triages incoming bugs and files them cleanly so engineers can act.
Incident response
Coordinates incidents and drafts status updates while humans fix the problem.
Monitoring and alert triage
Watches logs and alerts for anomalies and summarizes what's worth waking up for.
Release notes and changelogs
Drafts release notes from merged work so every ship is documented.
Runbook documentation
Maintains runbooks and on-call docs so the next person isn't guessing.
AI agents for research teams
Competitive intelligence
Tracks competitors and reports what changed, with links to the evidence.
Market research
Compiles market and industry research briefs you can actually decide from.
Survey analysis
Turns survey responses into clear, honest insights, not just charts.
Literature review
Summarizes papers and sources with citations you can trust and check.
News monitoring
Monitors news for the topics you care about and filters out the noise.
Data analysis
Answers questions from your spreadsheets and data in plain language.
User research synthesis
Synthesizes customer interviews into personas and themes teams can use.
Questions about AI agents
What is an AI agent?
An AI agent is software that does a job on its own: it reads your tools, decides the next step, takes it, and reports back. On AgentNava you describe the job in plain English and the agent follows written instructions and workflows you can read and change.
Do I need to write code?
No. You hire an agent from this library or describe a new one in plain English. Developers can also use the SDK and the website embed.
Can I connect the tools these agents use today?
Yes. This library lists only agents whose tools you can connect today. Connections marked Beta are usable with documented limitations.
What does an agent cost to run?
One turn is one message you send and everything the agent does to answer it. Your first $5 of credit is on us, and an idle agent costs nothing. See pricing.