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

Enterprise AI

Enterprise AI solutions that reach productionnot just another pilot.

Enterprise AI solutions are AI agents and workflows built into the systems a large company already runs. We map where AI pays off, build it on your current 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
8:15 am · A request arrives that touches three departments

    Illustrative example

    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

    What it looks like in real operations.

    Results from companies where we built AI into daily work.

    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

    Pilots pile up. Production doesn't.

    37%

    of US firms with at least 250 employees reported using AI in their business operations.

    Large companies run many AI experiments. Few become systems people use every day, because they don't fit how work actually runs.

    • Scattered AI pilots: Each department tries its own tools, and nobody tracks the value.
      With enterprise AI solutions: One map of every process shows the hours and dollars each one costs.
    • Scattered AI pilots: Tools sit beside your systems, so people copy data by hand.
      With enterprise AI solutions: Agents work inside your CRM, ERP, ticketing and document tools.
    • Scattered AI pilots: Employees paste company data into personal AI accounts.
      With enterprise AI solutions: Approved agents can run with access limits your team sets and reviews.
    • Scattered AI pilots: A demo works, then breaks on real exceptions and volume.
      With enterprise AI solutions: Every system is tested end to end on real work before launch.
    • Scattered AI pilots: Rollout ends at the demo, and adoption stalls.
      With enterprise AI solutions: Teams are trained, with documentation they will actually use.

    Value comes from systems in daily use.

    What we automate

    Enterprise automation, where it pays off first.

    • Request intake

      Agents read requests and route them to the right team with full context.

    • Document processing

      Contracts, invoices and forms are read, checked and filed in your systems.

    • Service desk

      Routine tickets are resolved, and complex ones escalate to a person.

    • Records upkeep

      CRM and ERP records are created and updated without manual entry.

    • Approvals

      Rules route routine approvals, and exceptions go to the right owner.

    • Reporting

      Reports are compiled across systems and sent on schedule.

    • Onboarding paperwork

      Forms are collected, checked and filed for new hires or customers.

    We build on the systems you already run, such as

    • CRM platforms
    • ERP systems
    • Service management tools
    • Document management
    • Email and calendars
    • Phone and messaging
    • Accounting software
    • Internal databases

    Is it time?

    Signs it's time for enterprise AI.

    Signals you need this

    • Several AI pilots exist, but few are used daily
    • Teams copy data between systems by hand
    • Employees use personal AI accounts for work tasks
    • Nobody can show what AI has returned so far

    When not to invest yet

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

    What you get

    From the first map to systems in production.

    • A map of every repetitive process across departments, with the hours and dollars each one costs
    • A roadmap ranked by payback, so you know what to automate first and what to skip
    • A fixed-price proposal with exact scope and timeline, before anything starts
    • AI agents built into your CRM, inbox, phone and the tools you already use
    • Each system tested end to end before launch, so nothing goes live until it works
    • Your teams trained, with documentation they will actually use
    • Everything we build is yours: code, accounts, prompts and data, from day one

    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 enterprise AI solutions.

    • Enterprise artificial intelligence solutions are AI agents and workflows built into the systems a large company already runs, such as CRM, ERP and service tools, so routine work gets done and people handle the exceptions.
    • MIT NANDA found only 5% of organizations that evaluated enterprise AI tools reached production. It cites brittle workflows and poor fit with daily operations. We start from your real processes and test on real work.
    • Yes. We work with large enterprises, not only small and mid-size companies. The free 30-minute AI diagnosis shows where AI pays off in your operation and what a first system would involve.
    • Agents can be limited to the access each task needs, and your team reviews those limits. NIST's AI Risk Management Framework treats governance as a function across the whole AI lifecycle, not a one-time check.
    • No. We build on what you already use: your CRM, email, phone, Slack and accounting tools. The agents work inside them, so your teams keep their daily tools.
    • The roadmap takes 1 to 2 weeks. Your first system is usually live in 14 to 21 days, and a full system takes 6 to 8 weeks. The fixed-price proposal sets the exact timeline.
    • Mapping your processes, ranking them by payback, building the first system and training your teams. One team runs all five steps, so you don't pay one firm to plan and another to build.
    • You do. Code, accounts, prompts and data are yours from day one. Optional monthly support keeps systems running and adds the next process on your roadmap, month to month.

    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