AI Development Services: Build vs Buy, and What Custom AI Really Costs
AI development companies quote $20,000 for a simple chatbot and $500,000+ for a platform. Here is when custom AI is genuinely worth building, when an off-the-shelf workspace already does 90% of it, and how to tell the difference before signing.
AI development services build custom AI software: chatbots, agents, internal tools and integrations, typically for $20,000 to $150,000 per project and $250,000 to $500,000+ for platforms. Custom is worth it when AI is your product, when you need deep integration with proprietary systems, or when compliance demands it. For internal productivity (drafting, research, analysis, support, automation), off-the-shelf already covers about 90% of the need for a fraction of the cost. Test the off-the-shelf version for two weeks before you commission anything.
Key takeaways
- Custom AI projects: $20,000 to $150,000; platforms: $250,000 to $500,000+, plus 15 to 25% a year in maintenance.
- Build when AI is your product, your data is proprietary and central, or compliance demands it.
- Buy when the job is internal productivity: drafting, research, analysis, support, automation.
- The two-week test: try the off-the-shelf version on the real workflow before any build.
- Most custom chatbot quotes are paying for wiring that already exists in a workspace.
1. What AI development companies actually build
Strip the marketing and AI development services fall into five buckets:
- Chatbots and assistants on your documents or website. Covered in depth in our AI chatbot development guide.
- AI agents that take actions in your systems. See hiring an AI agent development company.
- Integrations that wire a model into your CRM, ERP or support desk. See AI integration services.
- Custom AI features inside a product you sell (search, recommendations, generation).
- Model work: fine-tuning, evaluation, retrieval pipelines, sometimes training.
The first three are where small and mid-size businesses spend most, and where off-the-shelf has caught up fastest.
2. What custom AI really costs
| Project | Typical quote | Timeline | Off-the-shelf equivalent |
|---|---|---|---|
| Document Q&A chatbot (internal) | $20,000 to $60,000 | 6 to 10 weeks | Upload files to a workspace: same day |
| Website support bot | $15,000 to $50,000 | 4 to 8 weeks | Support platforms with AI built in |
| Agent that acts in 3 to 5 apps | $40,000 to $150,000 | 2 to 4 months | Agent with app connections plus instructions |
| Custom integration (ERP, legacy) | $30,000 to $120,000 | 2 to 4 months | Often none: genuine build territory |
| AI feature in your product | $50,000 to $500,000+ | 3 to 12 months | APIs help, but it is your product: build |
Add 15 to 25% a year for maintenance: models change, APIs deprecate, prompts drift. Custom software is a pet, not a purchase.
3. When building is the right call
- AI is the product. If customers pay you for the AI feature, you need to own it.
- Proprietary systems with no connector. A 20-year-old ERP or an in-house database nobody else integrates with.
- Hard compliance requirements. On-premise deployment, specific certifications, data that legally cannot leave a boundary.
- Volume economics. Millions of automated calls a month where per-unit cost matters more than setup cost.
4. When buying wins
Everything internal and general: drafting, summarising, research, analysis of spreadsheets and PDFs, image and video creation, meeting notes, first-line support drafts, recurring reports, inbox triage. These are solved problems. A workspace with 500+ models, file uploads, an agent with app connections and the ability to build small internal apps by prompt covers them for a subscription. Paying a development company to rebuild that is paying for the wiring, not the value.
5. The two-week test before any build
- Write down the exact workflow the custom build would serve.
- Run it on an off-the-shelf workspace with real data for two weeks.
- List what is missing. Be specific: "cannot write back to our ERP" is a real gap; "it is not branded" usually is not.
- Get quotes only for the gaps, not the whole system.
This routinely turns a $60,000 project into a $5,000 integration plus a subscription, or into nothing at all.
6. How to vet an AI development company
- Ask what they would not build for you, and what off-the-shelf they would try first. Good shops answer immediately.
- Insist on your own accounts and API keys, and source code ownership.
- Ask for maintenance pricing up front.
- Check references for projects over a year old: how is it running now?
7. Find out if you need a build at all, free
Before you collect quotes, take the free call. Adam Johansson looks at the workflow you want to solve and tells you straight whether it is a subscription, a small integration, or a genuine custom build. Krater covers about 90% of what businesses use AI for, and when you are in the other 10%, you hear that too, with a sense of what the build should cost. Free, no strings attached.
Get your free AI consultation
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Adam Johansson
AI Advisor, Krater
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Bottom line
Build custom AI when it is your product, your systems are proprietary, or compliance demands it. For internal productivity, off-the-shelf already does about 90% of the job for a fraction of the price. Run the two-week test before signing any development contract.
Frequently asked questions
How much do AI development services cost?
Typical custom projects run $20,000 to $150,000, platforms $250,000 to $500,000+, plus 15 to 25% a year in maintenance.
Should I build or buy AI for my business?
Build when AI is your product, your systems are proprietary or compliance requires it. Buy for internal productivity work like drafting, research, analysis and support.
What is a custom AI solution?
Software built specifically for your business that uses AI models, such as a chatbot on your data, an agent in your systems, or an AI feature in your product.
How do I choose an AI development company?
Ask what they would not build, insist on owning accounts and code, get maintenance pricing up front, and check references on projects over a year old.
Sources: Public project pricing from AI development agencies and studios; our own customer setups. Prices checked October 2026.