U.S.-Based
AI services for business
We build AI that does real work inside your systems: workspace rollouts, AI agents, voice AI and compliance testing. We work with operations, finance, IT and product leaders at mid-market companies.
5.0
Clutch rating from 40 reviews
40
AI projects delivered since 2020
$200K+
Budget of the largest reviewed project

How AI fits into your workflow
We build AI around the tools your team already uses, so you can spend less time on routine work without changing how you work.
A request arrives
An email, call, form or document reaches your team.
AI does the work
It reads, extracts and drafts, using your data and your rules.
Your reviewer approves
Anything that changes a record waits for a named person.
Your system updates
The result lands in your CRM, ERP, EHR or help desk.
SoftDoes AI services, in short
- Kansas City metro software and AI company
- Claude, ChatGPT, Copilot and Gemini rollouts
- AI agents, document and voice automation
- Compliance testing. You own all the code.
AI in production. Pricing and fit.
- 01Price range$2,500 to $150,000+
- 02Typical project$7,000 to $60,000
- 03Model usage & hostingAt cost on your own accounts
- 04Mid-market teamsOps, finance, IT & product leads
What are AI services?
AI services turn a model such as Claude or GPT into a working part of your business. Model vendors provide access through APIs and apps. A services team chooses a use case, connects the model to your data and systems, and adapts it to your workflow and rules.
Choose a use case
Define one task for AI, such as reading invoices or drafting replies, then set up the workflow and train your team to use it.
Connect your systems
Give the model access to the data it needs and connect it to tools your team already uses, such as a CRM, ERP or help desk.
Keep people in control
Build in a review step so a person approves anything that changes a record.
Set safeguards
Set up logs, permissions and cost limits before the workflow goes live.
Own what’s built
Your company owns the code, prompts and documentation.
Use both where they fit
Off-the-shelf AI handles shared tasks like writing and research. A custom build tackles the workflow that costs you the most time.
AI services by type, with starting prices
Compare AI services and their starting prices.
AI solutions for business, section by section

Where enterprise AI solutions start
Three fixed-scope ways to begin. Each one ends with a written plan or a system your team uses.

$2,500 fixed. Two weeks to map your workflows, data and risks, then rank the AI projects worth building.
- Workflow, data and risk review
- Ranked list of AI projects with costs
- Fee credited to your first build

From $5,000. Claude set up for your company, with your data rules in place before anyone logs in. Licenses go straight to Anthropic.
- Single sign-on and admin controls
- Data rules and 2 connectors
- 2 training sessions for your team

From $5,000. One document type, such as invoices or intake forms, read by AI and checked by your team.
- Extraction tuned on your documents
- A review screen for your team
- Writes to your system of record
AI services ROI: a worked example
An AI service pays back when the hours it saves are worth more than the build and the running costs. At these numbers, the build pays for itself in about two months, after maintenance and before model usage. To run these numbers for your own workflow, use the AI ROI calculator and the LLM cost calculator, or read our guide to measuring AI ROI.
Numbers Don’t Lie
Partners and ratings
Partner programs with the model vendors we build on, and what our clients say on Clutch.
- 01AI models
Claude
Claude Partner Network member
We roll out Claude and build on the Claude API as a member of Anthropic's partner network.
- 02AI & Agents
OpenAI
OpenAI Registered Partner
We build GPT-powered features and AI agents into business systems.
OpenAI development → - 03App development
Lovable
Lovable Solution Partner
We review, finish and launch apps built in Lovable, in code you own.
- 04Client ratings
Clutch
5.0 from 40 client reviews
36 reviews verified by Clutch. Named a top software developer in Kansas City for 2026.
View on Clutch ↗
Risks in AI services, and how we handle them
AI projects go wrong in a few known ways. Each risk below gets a control in the build before anything reaches your users.
AI services by industry
The same building blocks, shaped around each industry's systems, records and rules. Each industry page shows the use cases and the compliance steps.
Healthcare
Intake, prior authorization, clinical documentation and billing, with HIPAA controls and EHR write-back.
Financial services
Loan file review, account opening checks, fraud alert triage and member service, with audit trails.
Government
Permit intake, public records requests and resident service, with staff sign-off on every decision.
Accounting
Client document sorting, workpapers and client requests inside the tools your firm already uses.
Real estate
Lead generation, deal analysis and transaction paperwork, on data you own.
Construction
RFIs, daily reports, submittal checks and bid documents inside your project systems.
Logistics
Tenders, rate requests and freight documents read by AI, with your TMS kept current.
Legal
Client intake, document review and drafting, written into the firm's case management system.
How we keep company data safe
Procurement and regulated data
Company data stays in your own cloud and model accounts. We execute an NDA before the first call and provide a certificate of insurance on request. Health data runs on HIPAA-compliant infrastructure. For models that run fully inside your network, see private AI. For policies, reviews and audits, see AI governance and compliance.
Data stays in your accounts
Model calls run on your own Anthropic, OpenAI, Google, Microsoft or AWS accounts under your vendor terms. Requests send only the fields needed for the task and mask sensitive values where possible.
Access and approvals
Single sign-on and role-based permissions keep records visible only to authorized users. A named person approves any change to a record.
Audit logs and API keys
Audit logs record what AI reads, writes and changes, along with the model version. API keys stay in your secrets manager, outside code and prompts.
Questions about AI services
Costs, data, ownership and where to start. Can't find your answer?
What is an AI service?
An AI service puts artificial intelligence to work inside a business process. A model reads, writes or decides, and the result lands in your systems after a person checks it. Cloud vendors sell the models as AI as a service (AIaaS) through APIs. SoftDoes builds the rest: Claude and ChatGPT rollouts, AI agents, document and voice automation, and compliance testing.
How much do AI services cost?
Builds start at $2,500 for AI search over your documents. AI agents start at $7,000 with one or two connected systems and $13,000 with three or more. Workspace rollouts start at $5,000, and enterprise platforms run $60,000 to $150,000+. Model usage and hosting are billed at cost on your own accounts, and maintenance starts at $500 a month. Ask any AI company for a fixed price per phase in writing, plus a monthly estimate for model usage and hosting. For a full breakdown by project type, see our AI development cost guide.
Where should a company start with AI?
Start with one workflow that costs your team hours every week. Our AI readiness assessment is $2,500 fixed, takes 2 weeks and ranks the projects worth building. The assessment fee is credited to your first AI services build. Teams that already know the use case can start with a Claude rollout or a document AI pilot, each from $5,000.
Who are the biggest AI providers?
The biggest AI model providers for business are OpenAI (ChatGPT), Anthropic (Claude), Google (Gemini), Microsoft (Copilot and Azure OpenAI) and Amazon (Bedrock). SoftDoes is a Claude Partner Network member and an OpenAI Registered Partner, and we build on all five. For each task we pick the model by accuracy, cost and where your data has to stay.
How do you keep company data safe?
Your data stays in your own cloud and model accounts, under your contracts with each vendor. We set up single sign-on, role-based permissions and an audit log of what the AI reads and changes. Anything that updates a record waits for a named person to approve it. Health data runs on HIPAA-compliant infrastructure.
Who owns the code and the AI models?
You do. Clients own all the code and IP we build, including prompts, workflows, connectors and any fine-tuned models. Everything lives in your repository and your accounts from day one, so you can keep it, switch vendors or take the work in-house at any time.
How do we choose an AI company?
Ask to see AI running in production: case studies of live systems with results, not only demos. Ask who owns the code, prompts and models, and how they will measure quality and run the system after launch. Check partner programs you can confirm with the model vendors, and reviews from verified clients. A strong AI company puts every answer in writing and sends an NDA and a certificate of insurance before the first call. SoftDoes does both.
How do you check AI quality, and who runs it after launch?
Before the build, we agree on a written test set of your real examples and a pass mark. The AI goes live only when it meets that mark. After launch, you get documentation and a handover so your team can run it, or a support plan with a stated monthly price, from $500 a month.
What are the main types of AI services?
Business AI services fall into five main types. They are workspace rollouts, AI features and chatbots in your software, document processing, AI agents that act across systems, and voice AI for calls. Readiness work, compliance testing and training support all five. The table of AI services by type on this page shows what each one does and its starting price.
What is an enterprise AI solution?
An enterprise AI solution is AI built for company-wide use. It has single sign-on, role-based permissions, an audit log and data kept in the company's own accounts. It connects to systems of record such as the CRM, ERP or EHR. Enterprise AI platforms cost $60,000 to $150,000+. Our largest reviewing client is a government agency with 10,000+ employees.
What is the best AI system for business?
There is no single best system. The right one depends on the task, the software your team already uses and where your data must stay. We test two or three models on your real examples and compare accuracy, cost per task and your data rules before you commit. Our Claude vs ChatGPT comparison sets two common choices side by side.
Are there any free AI services?
Yes, for personal use. Claude's Free plan, for example, costs $0 with limited usage. Company data belongs on a business plan the company controls. ChatGPT Business costs $20 a user a month billed annually, for 2 or more users. SoftDoes also offers three free tools: the AI readiness quiz, the AI ROI calculator and the LLM cost calculator.
How long does an AI services project take?
AI services project timelines depend on the scope, the number of systems, the state of the data and your approvals. Our readiness assessment takes 2 weeks, and a production review of an AI-built app takes 5 business days. For builds, the scope, price and schedule are set in a written plan before work starts. Any project can start with Project Discovery: $490, credited to the build.
What do we need before starting an AI project?
You need four things. First, one workflow that costs your team hours every week, and an owner who knows what a good result looks like. Then sample data, such as 50 real documents or tickets, and access to the systems involved. If those are unclear, the AI readiness quiz is a free first check, and the assessment sorts them out in 2 weeks.
























































