For companies of 10 to 500 people
The AI consulting firmthat builds what it recommends.
Most consultants hand you a roadmap and leave. We find where AI pays off in your company, build it on your current tools, and stay until it's live and working.
30 minutes. You leave knowing which 3 processes to automate first and what they cost you today.
Example based on our D2C lead response case
Trusted by companies worldwide
Trusted by companies worldwide: Braffess, Casa Sors, HollaBoo, Laoom, Guardian Development Group
The difference
Same Monday. Two companies.
That's manual work AI should be doing. We hand it over.
Results
Built, live and measured.
Five industries, same approach: start with the process that costs the most, then measure what changes.
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 satisfactionInsurance
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 month99.5%decision accuracy+30%capacity, no new hiresE-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 cost100%of leads contactedLegal 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
Why most AI projects fail
AI works. Most AI projects don't.
95%
of company AI pilots deliver little or no measurable impact on profit.
67%
success rate when companies partner with specialized vendors. Internal builds succeed about a third as often.
MIT traced the failures to how AI gets plugged into the business, not to the models.
- Why most AI projects stall: Generic tools that never learn how your team works.What we do instead: We build on your workflow and the tools you already use.
- Why most AI projects stall: Budget goes to front-office tools. The biggest returns are in back-office manual work.What we do instead: We start with the manual work that costs you the most.
- Why most AI projects stall: Nobody agrees what success looks like.What we do instead: We test every system before launch. Nothing goes live until it works without errors.
The difference isn't the AI. It's which process you start with, and whether anyone measures it.
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
We find the manual work in your company and how many hours each task eats every week.
Process mapConsulting
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 paybackImplementation
We build the first system on the tools you already use. Nothing new for your team to learn.
A working systemImplementation
We test it 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, we execute: about an hour a week from you.
What you get
One team, from the first question to a live system.
- A map of every repetitive process, with the hours and dollars each one costs you
- 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, for leads, proposals, support, invoicing and reporting
- Every system tested end to end before launch, so nothing goes live until it works without errors
- Your team trained, with documentation they'll actually use
- Everything we build is yours: code, accounts, prompts and data
- Optional monthly support to keep it running and add the next process
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 our AI automation services, answered.
- An AI consulting firm finds where AI saves time or money in your company. We also build it: our AI automation consultants map your processes, rank them by payback and put the first system live in 14 to 21 days.
- One fixed price, quoted after the free diagnosis once we know the exact scope. You see the full price before anything starts.
- The roadmap takes 1 to 2 weeks. Your first system is usually live in 14 to 21 days. Lead response shows results in days; reporting takes a few weeks.
- No. We build, connect and maintain it. Your side needs about an hour a week to approve and give feedback.
- No. We build on what you already use: your CRM, email, phone, Slack and accounting tools.
- You do. Code, accounts, prompts and data are yours from day one.
- Nothing goes live until we have tested it end to end and it works without errors. If something isn't right, we keep working on it at no extra cost.
- We hand it over with documentation and training. If you want, we keep it running and build 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
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