---
title: "AI Implementation Cost: Phase by Phase | Nexum"
description: "AI implementation cost phase by phase: what published guides say about assessment, pilot, rollout and running cost, and what a clear quote should cover."
url: https://nexumautomations.com/pricing/ai-implementation-cost
updated: 2026-10-31
publisher: Nexum Automations, an AI consulting firm
---

> Nexum Automations is an AI consulting firm that builds what it recommends. It finds where AI pays off in a company, builds it on the tools the team already uses and stays until it is live and working.

Pricing

# AI implementation cost, phase by phase Published ranges, compared.

AI implementation cost runs from about $10,000 for a basic diagnostic to $2 million or more for a full enterprise program, according to ClearForge, cited by Alice Labs (2026). Below, ranges are split by phase.

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

Trusted by companies worldwide

**14-21 days** to your first live system

**600+** processes automated

**100+** hours returned to client teams every month

Results

## Built, live and measured.

Five industries, same approach: start with the process that costs the most, then measure 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 h** per proposal, down from \~60

**3x** proposal 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 s** first 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

[See all case studies](https://nexumautomations.com/case-studies)

Our data

## What buyers see in this search

The first page of Google for "ai implementation cost", counted by type of result.

| | Results |
| ---------------------------------------------------- | ------------------------------- |
| Articles by companies that sell a product or service | 8 of 9 |
| Social and blog-platform posts | 1 of 9 |
| Titles that answer this exact search | 5 of 9 |
| Google features on the page | An AI Overview, People also ask |

The 9 organic results on the first page of Google, United States, desktop, measured with DataForSEO on October 29, 2026\. Types only: no company or product is named.

The problem

## Quotes that leave things out

95%

Share of organizations getting zero return on generative AI spending, per MIT Project NANDA.

5%

Share of evaluated tools that reached production, against 20% that reached the pilot stage.

52%

Respondents naming data quality and availability as the biggest adoption challenge.

[MIT Project NANDA, 2025 ↗](https://mlq.ai/media/quarterly%5Fdecks/v0.1%5FState%5Fof%5FAI%5Fin%5FBusiness%5F2025%5FReport.pdf)

A price for the build alone is easy to write down. Most of what a company spends sits around it. The [AI integration](https://nexumautomations.com/services/ai-integration) work shows where those lines fall.

* A build number with no data preparation line.
Data readiness is scoped and priced as its own step.
* Integration with your current tools treated as a detail.
Every system to connect is listed in the proposal.
* No plan for training the people who will use it.
Training and documentation sit inside the scope.
* Nothing said about what it costs to run after launch.
Running cost is named, with optional monthly support.

A quote should cover the whole project.

What the guides say

## What published guides say, phase by phase

Each row is one source, quoted as published. A cell reads "not stated" when the guide gives no figure for that phase. Ranges are never averaged here, and they are market figures, not quotes from Nexum.

| | Readiness assessment | Pilot | Rollout and integration | Running cost |
| ------------------------------------------ | ------------------------------------------ | ---------- | ------------------------------------------------------ | ------------------------ |
| ClearForge via Alice Labs, 2026 | $10,000 and up for a basic AI diagnostic | Not stated | Up to $2 million or more for a full enterprise program | Not stated |
| Alice Labs, 2026 (hourly rates) | Independent consultants $150-$350 per hour | Not stated | Large strategy firms $500-$1,000+ per hour | Not stated |
| Taskip (mid-market, multi-workflow) | Not stated | Not stated | Not stated | $4,000-$10,000 per month |
| Appscrip (basic chatbot or sentiment tool) | Not stated | Not stated | $10,000-$30,000 for the tool | Not stated |
| Digital Fractal (healthcare, finance) | Not stated | Not stated | Adds 25%-40% for regulation and data analysis | Not stated |

Every project gets one fixed price once the free diagnosis call is done.

What a quote covers

## What a quote should include

* A map of the repetitive work in your company, with the hours and dollars each task costs you today
* A roadmap ranked by payback that shows what to automate first and what to skip
* Agents wired into your CRM, inbox and phone, alongside the tools your team already has
* Testing from start to finish before launch, so the system goes live only when it runs without errors
* Team training with documentation people will use
* Optional monthly support that keeps it running and adds the next process on your roadmap

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. ### Map
Consulting
First, we find the manual work in your company and how many hours each task eats every week.
Process map
2. ### Rank
Consulting
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 payback
3. ### Build
Implementation
We build the first system on the tools you already use. Nothing new for your team to learn.
A working system
4. ### Prove
Implementation
Every system is tested end to end before launch. It doesn't go live until it works without errors.
Tested, system live
5. ### Repeat
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 each step; we do the work.

FAQ

## Questions about AI implementation cost.

* ### How much does it cost to implement AI?
The spread is wide. ClearForge, cited by Alice Labs in 2026, puts fixed-fee projects at $10,000 for a basic diagnostic, up to $2 million or more for a full enterprise program. Scope, data condition and systems decide where you land. See the [AI development cost](https://nexumautomations.com/pricing/ai-development-cost) page for building custom AI.
* ### What is the cost of implementing AI in business?
Plan for more than the build. A sound quote also names data preparation, adoption and the monthly run cost, as Simple Engineers points out. If a figure leaves those out, you are seeing the cost of the software, not the project.
* ### What does AI integration cost?
Integration depends on how many systems must connect and how clean the data is. Digital Fractal notes that regulated industries such as healthcare and finance can see implementation costs rise 25% to 40%. Ask for each connection to be listed and priced.
* ### How much does AI cost to run?
Running cost is a separate line from the project. One mid-market guide from Taskip suggests $4,000 to $10,000 per month for a multi-workflow stack with reporting and ongoing builds. Your figure depends on volume and how many processes run.
* ### Why do so many AI projects show no return?
MIT Project NANDA found most pilots fail from brittle workflows and poor fit with daily operations. Tools nobody uses return nothing. Training, adoption and a clear measure of success matter as much as the build. Read [how to implement AI](https://nexumautomations.com/how-to/implement-ai) first.
* ### Is buying from a partner cheaper than building in house?
MIT Project NANDA found external partnerships with customized tools reached deployment about 67% of the time, against about 33% for internally built tools. Success rate affects total cost, so compare outcomes, not only prices. See [AI app development cost](https://nexumautomations.com/pricing/ai-app-development-cost).
* ### How do I compare two implementation quotes?
Line them up on six checks: 1) data preparation priced as its own line; 2) each system to connect, with its cost; 3) training and documentation; 4) monthly running cost; 5) how payback is measured; 6) support after launch.
* ### How does Nexum quote an implementation?
First we review your site and the tools you use. A free 30-minute diagnosis call follows, then a fixed-price proposal with exact scope and timeline arrives before anything starts. Your current software can stay as it is.

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Source: https://nexumautomations.com/pricing/ai-implementation-cost

Free AI diagnosis (30-minute call): https://nexumautomations.com/#book - Services: https://nexumautomations.com/services - Guides: https://nexumautomations.com/guides