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

AI agent development

AI agent development services built around your worknot a tool for your team to learn.

Our custom AI agent development services cover the whole job. We choose the tasks an agent takes over, set what goes to a person, build it into your tools and stay until it works.

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

agent · working
10:12 am · New support ticket arrives in the helpdesk

    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

    AI agents for businesses, measured in hours.

    Agentic AI automation, measured the same way each time: start with the task that costs the most, then track what changes.

    1. Government contracting

      Proposals cut from 60 hours to under one.

      A federal contractor bidding on $10M+ contracts could only submit 3–4 proposals a quarter, because each one took about 60 hours to assemble by hand. We built an AI workflow that pulls past performance, checks compliance and formats to spec, so the team now submits 12+ a quarter.

      <1 hper proposal, down from ~60
      3xproposal capacity
      +23%win rate
    2. 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
    3. Insurance

      Claims processed 75% faster.

      A regional insurer's adjusters spent 70% of their time on routine claims, so every claim took 15 days. We built an AI that reads the documents and photos, checks the policy and recommends a decision, so adjusters only handle the complex cases.

      600+hours back every month
      99.5%decision accuracy
      +30%capacity, no new hires
    4. E-commerce / D2C

      Every lead contacted in under 20 seconds.

      A home goods brand spending $40K a month on ads took 6–12 hours to reply to new leads, so many bought elsewhere. We built an AI system that replies by SMS, email or voice call within 20 seconds, day or night.

      +34%conversion rate
      −28%customer acquisition cost
      100%of leads contacted
    5. Legal services

      Manual invoice entry eliminated.

      A boutique law firm's paralegals spent a quarter of their time retyping invoices, so billing ran late. We built an AI assistant that reads every invoice, matches it to the right case in Clio and syncs it to QuickBooks.

      40+hours back every month
      99.8%data accuracy
      50%faster billing cycle

    The problem

    Most agent projects stall before payback.

    40%+

    of agentic AI projects will be canceled by the end of 2027.

    ~130

    of the thousands of agentic AI vendors are estimated to be real.

    Agents are easy to demo and hard to run on real work. Cost, unclear value and weak controls stop many projects before they pay off.

    • Agents bought or built without a plan: A generic agent is handed to the team to learn and configure.
      Agents developed for your workflow: We map your processes and build the agent around the task that costs you most.
    • Agents bought or built without a plan: Nobody decides what the agent may do alone, so risky actions slip through.
      Agents developed for your workflow: Rules are set up front: what it does alone and what goes to a person.
    • Agents bought or built without a plan: The agent lives in a new tool the team has to open and check.
      Agents developed for your workflow: It works inside your CRM, inbox, phone and other tools you already use.
    • Agents bought or built without a plan: It goes live on demo data and fails on real work.
      Agents developed for your workflow: It is tested end to end on real work before launch, with support after.

    A narrow, tested agent beats a broad, unproven one.

    Is it time?

    Signs you're ready for AI agent automation.

    Signals you need this

    • Your team repeats the same task dozens of times a week
    • Leads, tickets or documents wait hours for a first touch
    • Work depends on one person who knows the steps by heart
    • You tried a chatbot or tool and it didn't fit your process

    When not to invest yet

    • You want a chatbot on your site and nothing else
    • You want a slide deck instead of a live system
    • You are looking for the cheapest quote, not the one that pays back

    What you get

    From first call to a working agent.

    • Agentic AI consulting first: which tasks to automate, and which to leave alone
    • A map of the tasks an agent could take over, with the hours and dollars each one costs you
    • A roadmap ranked by payback, so the first agent goes where it saves the most
    • AI agent design: what each agent does alone and what goes to a person
    • A fixed-price proposal with exact scope and timeline for each agent
    • Agentic AI services deployed into your CRM, inbox and phone, tested end to end first
    • Code, accounts, prompts and data that belong to you, plus optional monthly support

    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.

    Your options

    Why not a big consultancy, a freelancer, or a new hire?

    Nexum (done for you)Big consultancyFreelancer / no-code builderIn-house AI hire
    Tells you what to automate first✓✓RarelySometimes
    Builds it on the tools you already use✓Usually hands off to another team✓✓
    Price fixed before work starts✓RarelySometimesA salary, not a project
    Time to first live system14–21 daysMonthsVariesMonths to hire, then build
    You own everything built✓✓Not always✓
    Time from you, per week~1 hr reviewSteering meetingsYou manage the projectYou manage the person
    Typical costFixed price per projectSix-figure engagementsHourly, open-endedA full-time salary + benefits

    Based on how each option typically works. If another option fits you better, we'll tell you on the call.

    FAQ

    Questions about AI agent development.

    • AI agents take over repetitive work in business operations: answering new leads, resolving routine support tickets, reading documents and updating your tools. Complex cases go to a person. In our SaaS case, an AI assistant resolves 85% of Tier-1 inquiries.
    • Small teams feel lost hours the most. Agentic AI for small business pays off when it targets the right task, so the roadmap ranks each process by payback. A boutique law firm got 40+ hours back every month.
    • AI agents consulting comes first: we find the tasks worth automating. Agentic AI development services then design the agent, build it into your tools, test it and support it after launch. Our AI agent solutions are built for each company.
    • The roadmap takes 1 to 2 weeks. Your first agent is usually live in 14 to 21 days, and a full system takes 6 to 8 weeks. You see the scope and timeline in a fixed-price proposal first.
    • Ask to see live systems with measured results, not demos. Gartner estimates only about 130 of the thousands of agentic AI vendors are real. Check who builds, who tests and who owns the code afterward.
    • Hiring AI agent developers in-house means you recruit, manage and maintain the work. With an outside AI agent development team, one team designs, builds and maintains the agents. Your side needs about an hour a week.
    • Agents can get things wrong, so complex cases go to a person. Every system is tested end to end before launch, and if something is not right, we keep working on it at no extra cost.
    • Your company owns everything from day one: the code, the accounts, the prompts and the data. Optional monthly support keeps the agents running and adds the next process on your roadmap.

    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