BaseOS
AI agentsAgents that do each area's work — and ask for your OK.

Attract and sell

  • Marketing SuiteCampaigns, flows, landing pages and ads.
  • Sales SuiteCRM, pipeline, proposals and inbox.

Deliver

  • ProjectsTasks, hours and team capacity.
  • Development & FactoryFrom idea to a live product.

Serve and run

  • Support SuiteHelpdesk, portal and widget.
  • Product SuiteRoadmap, changelog and wiki.
  • Finance SuiteInvoices, contracts and KPIs.
Software house / AgencyFrom proposal to invoice, with hours and contracts.SaaS / ProductSupport, roadmap and changelog for your product.

By team

  • SalesA pipeline that moves itself.
  • MarketingCampaigns and automated flows.
  • Support & CSEvery customer looked after.
  • OperationsProjects and delivery on time.
  • FinanceCollections and cash flow.

By channel

  • WhatsAppMeta's official API.
  • InstagramDMs in the same inbox.
  • EmailGmail and company inboxes.
  • Website chatA widget with your agent.
  • Customer portalTickets and documents.

By use case

  • Qualify leadsThe SDR answers and books.
  • Collect overdue invoicesReminders with your OK.
  • Answer ticketsGrounded in your wiki.
  • Proposal → project → invoiceNo typing anything twice.
PricingFactory
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Solutions/Answer tickets

Ticket opened, answered from your wiki.

Sara reads every incoming ticket, finds the answer in your knowledge base and shows the source. Whatever she can't back up goes to a person, with the summary ready.

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9:41
☰
AgentNeeds you2
SStudio Bravo⌄
Sara⌄
Support
Approval neededProposed action

Reply to Lumen's ticket with the wiki article

RejectApprove
⌃ Show conversation
Message…
Sara, the support agent, answering a ticket from the wiki

Sara, Support: “What came into the support queue today?”

7 tickets. Lumen's asks how to reset the portal password, and the wiki article answers it. Shall I send the reply with the article link? Reply to Lumen's ticket with the wiki article. Replied. Acme's is about a duplicate charge — I passed it to Finance with a summary of the conversation.

Studio Bravo is a demo company. Made-up data.

§01Answer tickets

The support queue, before and after

Without BaseOSWith BaseOS

The same question is answered from scratch ten times a week.

The agent finds the article that answers it and writes the reply citing the source.

The ticket lands in the general queue and waits for someone to grab it.

It goes to the right department and is assigned round-robin or to whoever has the fewest tickets.

An urgent ticket blows its deadline and nobody noticed.

Response and resolution deadlines are tracked, with an alert before they run out.

The AI makes up an answer rather than say it doesn't know.

Without a verified source, she doesn't reply: the ticket goes to a person with the reasons.

§02Answer tickets

How it works

From the incoming ticket to the customer helped — four steps, and you decide how much the agent can answer on her own.

app.baseos.com/home/support/tickets
Sara, the support agent, answering a ticket from the wiki
Studio Bravo is a demo company. Made-up data.
  1. 01

    1 · Intake

    The ticket comes in and goes to whoever solves it

    The customer opens a ticket in the portal, by email or from a conversation. AI triage reads the request and routing sends it to the right department.

    • Support portal for the customer
    • Support email that becomes a ticket
    • Departments with round-robin or shortest queue
  2. 02

    2 · Answer

    Sara answers from your wiki

    She searches your knowledge base articles and past resolved tickets, and writes the reply citing where each point came from. You review and send — or let her reply on her own when she has a source.

    • Every reply with its source cited
    • Drafts the team reviews before sending
    • Automatic replies only with a verified source
  3. 03

    3 · Escalation

    What she doesn't know goes to a person

    With no source, low confidence or another customer's data in the way, the reply becomes a draft and the ticket goes to a person, with the reason written down. The deadline keeps counting, with an alert before it runs out.

    • Handoff to a human with the summary ready
    • First-response and resolution deadlines
    • An alert before the deadline runs out
  4. 04

    4 · Afterwards

    Every answer teaches the next one

    Once the ticket is resolved, the customer rates it from 1 to 5, and low scores alert the team. What the agent couldn't answer becomes a draft article for you to review and publish on the wiki.

    • A 1–5 rating on resolution
    • Low-score alert for the team
    • Knowledge gaps become draft articles
§03One base

Support that already knows who the customer is

  • From wiki to answerThe same knowledge base you publish for customers is the source of the agent's answers.→
  • From ticket to financeThe agent sees the customer's invoices and contract and passes billing questions to whoever owns them.→
  • From ticket to portalIn the portal, the customer opens a ticket and follows the reply without asking on WhatsApp.→
§04What's included

Modules you can switch on today

Read from the same catalog as the module store: if it's listed here, it's in the product.

  • Ticketsfree plan available
    • Support portalA support portal where the client opens and follows their own tickets.
    • SLAFirst-response and resolution deadlines, with an alert before they blow.
    • Autonomous AI agentThe AI answers customers on its own when the reply rests on verified sources, and hands the ticket to a person when it does not.
  • Roadmap, Changelog & Wikifree plan available
    • RoadmapA public product roadmap showing what is in flight and what comes next.
    • ChangelogA release changelog to announce every delivery to your users.
    • WikiA knowledge base and documentation, internal or public.
See every module and price →
Questions

What people usually ask

Talk to us →
Will the AI tell my customer something wrong?

She only replies on her own if you turn that mode on, and even then only when the answer rests on a verified source. With no source, it becomes a draft and the ticket goes to a person.

Can I start with drafts only?

Yes. The agent writes the reply and the team reviews it before sending. Automatic replies are your choice, on a level of the tickets module you see before you sign up.

My wiki is small. Does it still work?

It works with what's there, and the gaps show: what the agent couldn't answer becomes a draft article for your team to complete.

Will the customer know they talked to an AI?

Every reply from the agent is marked as hers on the ticket, with its sources. You see everything in the history and decide how to present her to your customer.

See also
  • Support SuiteHelpdesk, portal and widget.→
  • Support & CSEvery customer looked after.→
  • Customer portalTickets and documents.→
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