Free AI diagnosis: 30 minutes, and you leave with a plan

AI customer service

An AI customer service agent that resolves ticketsinside the helpdesk you already use.

We build an AI customer service agent trained on your past tickets. It resolves routine questions in seconds and hands complex cases to your team with full context.

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30 minutes. You leave knowing which 3 processes to automate first and what they cost you today.

agent · working
2:14 am · New ticket: customer can't reset a password

    Example based on our SaaS case

    Trusted by companies worldwide

    Trusted by companies worldwide: Braffess, Casa Sors, HollaBoo, Laoom, Guardian Development Group

    14–21 daysto your first live system
    600+processes automated
    100+hours returned to client teams every month

    Results

    From 2 hours to under 5 seconds.

    AI-powered customer service, measured the same way: start with the tickets that cost the most, then track what changes.

    1. SaaS / Software

      85% of support tickets resolved by AI.

      A SaaS company with 50,000+ users had its best agents answering the same questions all day, and customers waited two hours for a reply. We built an AI assistant trained on their past tickets that answers instantly and hands complex cases to a person with full context.

      1,200+agent hours back every month
      <5 sfirst response, down from 2 h
      +45%customer satisfaction

    The problem

    Routine tickets crowd out the hard ones.

    64%

    of customers would prefer companies didn't use AI in customer service.

    53%

    would consider switching to a competitor if they learned a company would use it.

    Your agents spend their day on the same questions, so slow replies hit customers and the cases that need judgment wait in line.

    • Manual Tier-1 support: Customers wait hours for an answer to a routine question.
      With an AI customer service agent: Routine questions get a reply in seconds, day or night.
    • Manual Tier-1 support: Agents repeat the same answers all day and tire of it.
      With an AI customer service agent: The agent handles the repeats, so people take the cases that need judgment.
    • Manual Tier-1 support: A handoff means the customer explains everything again.
      With an AI customer service agent: Complex cases reach a person with the full conversation and context.

    Customers fear AI is a wall, so keep a person close.

    What we automate

    What the agent does, ticket by ticket.

    • Reads the ticket

      Understands the question from the message and the customer's history in your helpdesk.

    • Finds the answer

      Draws on your past tickets, so replies match what your team already says.

    • Resolves or replies

      Sends customer service automated responses to routine tickets in your tone and updates the record.

    • Escalates with context

      Passes complex or sensitive cases to a person with the full conversation attached.

    Is it time?

    Signs you need AI agents for customer service.

    Signals you need this

    • First response takes hours, and customers notice
    • Agents answer the same few questions all day
    • Complex cases wait behind a queue of simple ones
    • Support is closed overnight and on weekends

    When not to invest yet

    • You get only a handful of tickets a week
    • Most of your tickets are unique and need judgment
    • You have no past tickets or help content to learn from

    What you get

    From the first ticket to a live agent.

    • A map of your support queue, with the hours and dollars each ticket type costs you
    • A fixed-price proposal with exact scope and timeline, before anything starts
    • An AI agent trained on your past tickets, built into the helpdesk you already use
    • Automated customer support for the Tier-1 tickets your team answers every day
    • Handoffs that carry the full conversation to your team
    • Testing end to end before launch, then training and documentation for your team
    • Code, accounts, prompts and data that stay yours

    How it works

    The Payback Loop. Five steps. Each build pays for the next.

    We don't start with the AI. We start with the money.

    One team of AI automation specialists runs all five
    1. Consulting

      We find the manual work in your company and how many hours each task eats every week.

      Process map
    2. Consulting

      We put a dollar figure on each process and rank them by payback. You see what to automate first, and what to leave alone.

      AI roadmap, ranked by payback
    3. Implementation

      We build the first system on the tools you already use. Nothing new for your team to learn.

      A working system
    4. Implementation

      We test it end to end before launch. It doesn't go live until it works without errors.

      Tested, system live
    5. Support

      The first build pays back fastest, so its savings fund the next one. Back to the map, and we keep every system running.

      Monthly support (optional)

    ↺ Back to Map

    Consultancies stop at the roadmap. Freelancers build without one. The loop only works when one team runs all five. You approve, we execute: about an hour a week from you.

    FAQ

    Questions about AI customer service.

    • Conversational customer service means helping customers through natural back-and-forth messages, by chat, email or voice, instead of forms and menus. An AI agent can handle the routine part of that conversation.
    • Routine, repeat questions: the Tier-1 tickets your team has answered many times. In our SaaS case, the agent resolves 85% of Tier-1 inquiries, and complex cases go to a person.
    • A basic chatbot follows scripts, like older automated customer service solutions. An AI support agent reads your past tickets and understands the question. It resolves routine cases inside your helpdesk and hands the rest to a person.
    • The agent hands the case to a person with the full conversation and context, so the customer does not repeat the story. In our SaaS case, first response went from 2 hours to under 5 seconds.
    • The agent is trained on your past tickets, so its answers follow how your team already writes and what your company already says. Your team reviews its replies in testing before launch.
    • Your helpdesk stays. The support automation works inside the tools you already use, so your team keeps its queues and reports while the AI picks up the routine tickets.
    • Many customers are wary. Gartner found 64% would prefer companies didn't use AI in customer service. Fast, accurate answers and an easy route to a person make the difference.
    • Your first system is usually live in 14 to 21 days, and a full system takes 6 to 8 weeks. You get the exact scope and timeline in a fixed-price proposal first.

    Final step

    Pick a time. Let's talk.

    You leave knowing which processes to automate first and what each one costs you today, whether we work together or not.

    You can keep paying for manual work, or find out this week exactly what it costs you.

    What happens on the call

    1. Before

      You answer 3 quick questions when you book, so we come prepared.

    2. On the call

      We find the manual work that costs you most and put a number on it, live.

    3. Decide

      An honest read on whether we're the right fit. If we're not, you'll hear it on the call.

    Once you book, we look at your site and tools before the call, so the 30 minutes go to your numbers, not introductions.

    Prefer to write first? Email us directly: contact@nexumautomations.com

    30 minutes · Video call · Free