See how our AI agents transform everyday work, team by team.
Check out our complete guide to autonomous AI agents to understand the fundamentals before choosing your use case. Autonomous AI agents→
A marketing or communications agency sells production time and creative thinking, not reporting. An autonomous AI agent can take on briefs, campaign reporting, and client tickets, freeing teams to focus on creative work and strategy.
Read more→A build that breaks at 3am shouldn't have to wait for a human to open the logs. An autonomous AI agent watches pipelines around the clock, triages failures, and prepares the first step of incident response.
Read more→Before answering a ticket, you need to know what it's about and how urgent it is. An autonomous AI agent reads every incoming ticket, classifies it, enriches it with customer context, and decides where it should go, without ever writing the final reply in place of your team.
Read more→A pipeline that breaks silently, a table that drifts without anyone noticing: data teams often discover the problem through a wrong dashboard, not an alert. An AI agent can watch continuously and catch it before the damage spreads.
Read more→Reconciliations, dashboards, customer collections: the monthly close ties up the finance team for several days a month. An autonomous agent can take over the mechanical part, without ever signing off on the numbers in your place.
Read more→Onboarding, offboarding, compliance, and documentation eat up a large share of HR teams' time. An autonomous agent can take on the repetitive part, without ever touching sensitive decisions.
Read more→Internal tickets that pile up, access requests that fall through the cracks, alerts that fire at night: IT operations run around the clock, but rarely the team that handles them. An autonomous agent can keep pace.
Read more→Contracts piling up, missed notice deadlines, internal questions left unanswered: your legal team spends more time searching than deciding. An AI agent can change that, without ever replacing the lawyer.
Read more→Segmenting lists, prepping campaigns, and pulling together the Friday-night report take hours every week. An AI agent can take on these operational tasks, not the creative strategy.
Read more→The procurement function spends most of its time chasing quotes and deliveries. An AI agent can take that load off your hands, without ever signing or paying on your behalf.
Read more→Screening dozens of applications and finding interview slots takes a huge amount of time for HR teams. An AI agent can take on this repetitive load, without ever deciding who to hire in your place.
Read more→An autonomous AI agent watches the CRM continuously, fixes damaged data, and reconciles pipeline with billing, replacing a manual ritual that eats hours out of the RevOps team's week.
Read more→An autonomous AI agent continuously monitors production errors and support tickets, groups together what looks alike, and creates an already-triaged issue in your tracking tool, before a developer has even opened their monitoring dashboard.
Read more→Giving work to a single agent works until a request needs both research and writing. This scenario sets up a small team: a chief of staff who splits and checks, an analyst who researches, a writer who writes, and a kanban so nothing gets lost.
Read more→An autonomous agent takes over the competitive watch that small teams never have time for: it studies each competitor on the public web, writes a sourced analysis in a wiki page and refreshes it every Monday.
Read more→A consulting firm sells time and judgment. An autonomous AI agent can take on research, engagement tracking, and proposal prep, leaving consultants free for what actually matters: the content and the client relationship.
Read more→Two agents take over the background work of the CRM: an assistant you question in the chat about contacts, companies and deals, and an analyst that adds a research note to every new lead each morning. Changes are made after your confirmation.
Read more→One autonomous agent reads your HubSpot pipeline and drops a dated "Sales update" page into a project wiki every morning: deals created, won and lost, gaps with the previous week, and deals at risk with their owner, with nobody compiling anything.
Read more→Two agents run the SEO loop for you: an analyst reads Search Console every day and ranks the opportunities in the wiki, a writer drafts each opportunity you validate. Search Console is read-only, and publishing stays yours.
Read more→Two agents take over the background work of a GitHub repository: a reviewer that comments on every open pull request against the team's conventions, and a triager that gives every new issue a type, a priority and a next step. They comment and label, humans decide.
Read more→An online retailer lives by the rhythm of order spikes, stockouts, and support tickets that pile up. An autonomous AI agent absorbs this load continuously, without waiting for a spike to get organized.
Read more→The decisions that matter live in email threads nobody can find six months later. An autonomous agent with its own address reads the threads you forward and files what counts in a wiki: one page per topic, updated rather than duplicated.
Read more→An agent answers in a Slack channel the questions your colleagues ask every day: leave, expenses, IT help. It relies on the project wiki, cites the page each answer comes from, points to the right person when it does not know and files those questions in a FAQ to complete.
Read more→An autonomous agent takes over the lead research that small teams never have time for: it studies each target account on the public web, qualifies it and opens one Trello card per lead, ready for you to decide.
Read more→A plant runs on three flows that never stop: machine breakdowns, supplier orders, quality non-conformities. An autonomous AI agent can track all three continuously, without waiting for Monday's production meeting.
Read more→An autonomous agent prepares your meetings for you: it reads the account history in HubSpot, looks up what happened recently on the web, then drops a one-page brief in a wiki with five questions to ask, the risks and a proposed next step.
Read more→An agent takes over the first hour of an incident: it reads the alert, its log and its notes, searches the commits and files of the repository for the probable cause, writes a note on the incident and opens an issue with the analysis and a proposed fix. The human on call decides, acts and resolves.
Read more→An autonomous agent prepares your outbound prospecting: it researches each target account, checks the fit with your ideal customer, creates the company and the contact in HubSpot and drafts a personalized message. Nothing goes out until you have approved it.
Read more→An autonomous agent answers your product questions without you opening Amplitude: it picks the events, runs the right analysis, gives the figures with their method and publishes a text dashboard every Monday. It only reads.
Read more→With every deployment, someone still has to write the changelog, the customer email, and the announcement post. An autonomous AI agent connected to your dev tool handles it for you, from the first tag to the last distribution channel.
Read more→A SaaS company lives and dies by three metrics: support response time, churn rate, and how clearly it communicates product changes. An autonomous AI agent can take all three on, without waiting for a human to kick off the task.
Read more→An autonomous agent turns a HubSpot deal into a draft sales proposal: it rereads the client context, writes the document in a wiki following your outline, leaves every amount to complete and asks the deal owner to review it.
Read more→Why did we choose this supplier, and who decided? In most teams the answer depends on who is still around. An archivist agent records the company's decisions and vocabulary in a wiki, answers with the history and the source, and says plainly what it does not know.
Read more→One autonomous agent reads your GitHub repository and drops a dated "Sprint update" page into a project wiki every morning: pull requests merged and open, issues, releases, blockers and pull requests that linger, with nobody compiling anything.
Read more→Once a ticket is open and categorized, someone still has to reply to it, track the SLA deadline, and close it properly. An autonomous AI agent handles this part of the work, drafting and follow-through to resolution, not the triage decision upstream.
Read more→Two autonomous agents help your support team: one triages open conversations and leaves an internal note with a summary and a suggested reply, the other spots recurring questions every week and drafts help articles. Neither answers the customer.
Read more→An autonomous agent turns the hours tracked in Clockify into invoice drafts: it groups by client and project, applies your rates, flags the gaps, then asks you to validate. You are the one who sends the invoice.
Read more→Create your account for free and launch an agent in minutes, no code required.
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