Pricing
AI agent development cost, what drives itScope sets price.
AI agent development cost depends on how many steps the agent handles, which systems it connects to and how much it decides alone. Here is what the market says and how we quote.
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
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
The problem
Why AI agent quotes differ so much
$20K-$250K
The range one 2026 estimate gives for most AI development projects.
40%+
Share of agentic AI projects Gartner expects to be canceled by the end of 2027.
130
Roughly how many agentic AI vendors Gartner considers real, out of thousands.
One vendor sells a simple question bot, another builds a system that runs a whole process. Both get called an agent, so prices are hard to compare. The AI agent vs chatbot comparison shows why.
- Unclear quotes: A vague monthly fee with no defined scope or end date.How we quote: One fixed price for an agreed scope, shown before work starts.
- Unclear quotes: A chatbot rebranded as an agent, priced like a full system.How we quote: The scope names the steps, systems and decisions the agent covers.
- Unclear quotes: Integrations and changes appear as extra charges later.How we quote: Integrations are listed and priced in the proposal.
- Unclear quotes: No way to judge whether the project will pay back.How we quote: Payback is estimated from your own hours and costs.
Know the price before anything starts.
Our data
What AI answers when buyers ask
We asked ChatGPT, Gemini and Perplexity 10 buyer questions about AI agent development. They named 103 companies, and 79% appeared in only one of the three.
| Criterion | ChatGPT | Gemini | Perplexity |
|---|---|---|---|
| Companies named | 44 | 36 | 48 |
| Sites cited most | masterofcode.com (4 of 10) | devcom.com and neurons-lab.com (3 of 10) | litslink.com and brocoders.com (4 of 10) |
Nexum measurement, October 20, 2026, via DataForSEO: 10 buyer questions to each AI, US English, 30 answers in total. 3 companies appeared in all three. Google showed an AI Overview for 8 of the 10 questions.
What you get
What the price covers
- A written scope that names the steps, systems and decisions the agent handles
- A single fixed price for the agreed scope, set before any work
- Integrations with your CRM, inbox, phone and accounting tools, listed up front
- Full testing before launch, so the agent goes live only when it works without errors
- Team training plus documentation written for daily use
- Optional monthly support, billed month to month, to keep it running and add the next process
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.
FAQ
Questions about AI agent cost.
- Market estimates are wide. One 2026 source puts most AI development projects between $20,000 and $250,000. Where an agent lands in that range depends on scope, systems and how much it decides alone. The wider AI development cost page covers custom AI beyond agents.
- Smaller scope costs less. An agent that handles one process on one or two tools sits at the low end, while several channels and connected systems push the price up. We quote one fixed price once the scope is clear, as in our AI agent development work.
- Model usage, monitoring and upkeep continue after launch. Research on agent projects also found that most of the effort goes into data engineering, governance and workflow integration, not the model itself. Ask for those items to be priced up front.
- An agent makes its own decisions, which Anthropic notes means higher costs and the chance of errors compounding. Monitoring and human review reduce that risk, and they belong in the budget.
- You can prototype one with free or low-cost tools. A prototype rarely handles your real data, your systems or failures reliably. Production use needs integration, testing and monitoring, and that is where the cost sits.
- We study your site and tools first, then hold a free 30-minute diagnosis call. A fixed-price proposal follows, with exact scope and timeline, before any work begins.
- Payback is possible, but not automatic. One Google Cloud survey found 74% of executives reporting ROI within the first year, while Gartner warns many agentic projects lack clear value. Calculating automation ROI before you commit is the safeguard.
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