Generative AI, built
Generative AI services built into your daily work
Generative AI services for companies that want it working, not demoed. We build drafting, summarizing and internal assistants on the tools you already use, test them end to end and hand you everything.
30 minutes. You leave knowing which 3 processes to automate first and what they cost you today.
Illustrative example
Trusted by companies worldwide
Trusted by companies worldwide: Braffess, Casa Sors, HollaBoo, Laoom, Guardian Development Group
Results
Generative AI that shows up in the numbers.
Gen AI solutions in production, built on each company's own tools.
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 ~603xproposal capacity+23%win rateSaaS / 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 satisfactionLegal 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 month99.8%data accuracy50%faster billing cycle
The problem
Interest is high. Daily use is not.
88%
of finance and accounting leaders expect AI to be the technology trend with the most impact over the next 12 to 24 months.
1,446
senior finance and accounting leaders and managers were surveyed worldwide in 2025.
Most companies have tried a chat window. Few have generative AI inside the work itself, drafting and answering where their team already spends the day.
- Generative AI on the side: Staff paste text into a chat window and copy the answer back by hand.Generative AI built into the work: The draft appears inside your CRM, inbox or document tools, ready to review.
- Generative AI on the side: Answers ignore your past work, your tone and your policies.Generative AI built into the work: The assistant works from your own documents and knowledge, so answers sound like you.
- Generative AI on the side: Nobody checks what the model wrote before it reaches a client.Generative AI built into the work: A person approves every output that leaves the company.
- Generative AI on the side: Each person improvises a prompt and results vary.Generative AI built into the work: One tested setup gives the same quality to the whole team.
Value comes from use inside the workflow.
Our data
What AI answers when buyers ask
We asked ChatGPT, Gemini and Perplexity 10 buyer questions about custom AI development. They named 100 companies, and 80% appeared in only one of the three.
| Criterion | ChatGPT | Gemini | Perplexity |
|---|---|---|---|
| Companies named | 43 | 35 | 46 |
| Sites cited most | hatchworks.com (3 of 10) | vellum.ai and mindstudio.ai (3 of 10) | rtslabs.com and netguru.com (4 of 10) |
Nexum measurement, October 20, 2026, via DataForSEO: 10 buyer questions to each AI, US English, 30 answers in total. 4 companies appeared in all three. Google showed an AI Overview for 9 of the 10 questions.
Is it time?
Signs generative AI can work for you.
Signals you need this
- Your team writes similar proposals or replies again and again
- Long documents take hours to read and summarize
- Answers sit in files only a few people can find
- Staff already try chat tools, with no shared standard
- You want drafts a person reviews, not blind automation
When not to invest yet
- You expect generative AI results in the first days, not after testing
- Lowest cost wins over payback in your decision
- You only want a report or a demo, not a working system
- Your team cannot share tool access or review drafts as the build moves
What you get
What our generative AI services include.
- A map of where drafting, summarizing and answering cost your team hours, with the dollars attached
- A ranked list of generative AI solutions, so the first build is the one that pays back fastest
- Custom generative AI development services: proposal and reply drafting, document summaries, assistants on your company knowledge
- Generative AI wired into your CRM, inbox, phone and document tools
- End-to-end testing on your real work before launch, with a person approving each output
- Team training and documentation your people will actually use
- One fixed price agreed before the build, and full ownership of code, prompts and data
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.
Consulting
First, we find the manual work in your company and how many hours each task eats every week.
Process mapConsulting
Each process gets a dollar figure and a rank by payback. You see what to automate first, and what to leave alone.
AI roadmap, ranked by paybackImplementation
We build the first system on the tools you already use. Nothing new for your team to learn.
A working systemImplementation
Every system is tested end to end before launch. It doesn't go live until it works without errors.
Tested, system liveSupport
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 each step; we do the work.
Your options
Why not a big consultancy, a freelancer, or a new hire?
 Nexum (done for you) | Big consultancy | Freelancer / no-code builder | In-house AI hire | |
|---|---|---|---|---|
| Tells you what to automate first | ✓ | ✓ | Rarely | Sometimes |
| Builds it on the tools you already use | ✓ | Usually hands off to another team | ✓ | ✓ |
| Price fixed before work starts | ✓ | Rarely | Sometimes | A salary, not a project |
| Time to first live system | 14–21 days | Months | Varies | Months to hire, then build |
| You own everything built | ✓ | ✓ | Not always | ✓ |
| Time from you, per week | ~1 hr review | Steering meetings | You manage the project | You manage the person |
| Typical cost | Fixed price per project | Six-figure engagements | Hourly, open-ended | A 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 generative AI services.
- Generative AI services build systems that write, summarize and answer from your own information. For a business that means drafted proposals and replies, summarized documents and assistants that know your company, running inside the tools your team already uses. Gen AI consulting comes first, to decide which of them pays back.
- Generative AI development is building software that uses generative models to produce text and other content for a specific job. In generative AI development solutions, most of the work is plumbing: model to data, data to tools, real-work tests and approval steps so people stay in charge.
- Regular AI usually classifies or predicts, such as sorting a ticket or scoring a lead. Generative AI creates new content, like a draft reply or a summary. Many useful systems combine both. See real generative AI examples.
- A generative AI development company designs, builds and connects these systems to your operation. Our generative AI consulting services also find where it pays, order the options by return and build the first one on your stack.
- Yes. Our LLM development services connect a language model to your documents, CRM and inbox, then test it on your real data. Each build is scoped for your process. For broader builds, see custom AI development.
- Drafts are tested on real work before launch, and anything client-facing is approved by a person. NIST publishes a generative AI profile of its AI Risk Management Framework, a useful reference for managing the risks of these systems.
- The price is fixed in writing, with scope and dates, before we start. Plan on 1 to 2 weeks for the roadmap, 14 to 21 days to the first live use case and 6 to 8 weeks for the full build.
- You do not need in-house generative AI experts. You sign off each step while we build, connect and maintain it, and the code, accounts, prompts and data belong to you from the start. Optional monthly support keeps it running.
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
Before
You answer 3 quick questions when you book, so we come prepared.
On the call
We find the manual work that costs you most and put a number on it, live.
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