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AI Development Cost Calculator
Most AI development cost estimates you find online are useless. You get a range like '$10K to $500K' with no explanation of what moves the number, no breakdown by project type, and no indication of what a team like yours would actually pay. That's not an estimate. It's a dodge.
This calculator gives you a project-specific cost range based on your use case, complexity level, timeline, and team requirements. The ranges come from real RaftLabs project data -- 100+ products shipped since 2019 across clients in the US, UK, Canada, Australia, and the UAE. Instant results. No sales call required to get a number.
Use the cost guide below to understand what drives AI development cost up or down, what each project type typically runs, and what's included in a full project delivery. When you're ready for a fixed quote, our 2-week discovery process gives you a scoped price before any development begins.
Cost ranges by project type — AI chatbot, RAG pipeline, voice AI, SaaS MVP, and more
Complexity tiers explained — simple, standard, and enterprise builds priced separately
Timeline estimates alongside cost — know how long before you know how much
What's included — discovery, design, dev, QA, and post-launch support in every estimate
Estimate your AI project cost in 60 seconds
Most online cost guides give you a number without context. This page does the opposite: it explains what the number depends on, shows you the actual ranges by project type, and gives you the methodology behind the benchmarks.
The ranges on this page come from 100+ projects delivered by RaftLabs between 2019 and 2025. They reflect full project delivery -- discovery, UX/UI design, development, QA, and one round of post-launch support. They do not include third-party API fees, cloud hosting costs, or ongoing maintenance retainers.
Every project differs. These ranges are a starting point for budget conversations, not fixed quotes. But they're a better starting point than anything else you'll find in a Google search.
How we built these benchmarks
Data from 100+ projects (2019--2025)
These cost ranges come from real RaftLabs project data across clients in the US, UK, Canada, Australia, and the UAE. Project types include AI chatbots, RAG pipelines, voice AI agents, SaaS platforms, mobile apps, and custom ERP/CRM builds. The clients range from early-stage startups to enterprise teams at companies like Vodafone, T-Mobile, Energia, and Aldi.
We model costs using a lean delivery pod: one senior engineer, part-time project management, and part-time QA. A lean pod costs $12,000--$15,000 per month. Larger projects scale to two or three people, which increases the monthly cost but reduces the timeline. The planning rate we use is $1,500 per person per week.
What we include in a project cost
Every estimate on this page includes:
Discovery and scoping -- technical requirements, architecture design, integration mapping
UX/UI design -- wireframes, component library, user flows
Development -- full implementation including backend, frontend, and AI/ML integration
Quality assurance -- functional testing, integration testing, UAT support
Deployment -- production setup, CI/CD pipeline, environment configuration
Post-launch support -- one round of bug fixes after go-live
Not included: third-party API usage fees (OpenAI, Anthropic, ElevenLabs, etc.), cloud hosting costs, or ongoing maintenance and support retainers.
Complexity tiers used throughout this page:
Simple -- 1--3 integrations, one user role, standard UI, limited custom logic
Standard -- 4--8 integrations, 2--3 user roles, custom workflows, moderate data complexity
Complex -- 9+ integrations, compliance requirements (HIPAA, SOC 2, GDPR), multi-tenant architecture, enterprise data pipelines
What drives AI development cost up or down
Project type and complexity
The category of AI matters less than the scope within that category. A simple customer support chatbot trained on a help center ($30,000--$45,000) is a fundamentally different build from a multi-channel enterprise support agent with CRM integration, custom escalation logic, and analytics ($65,000--$80,000). Naming the project type is step one. Defining the scope within that type is what determines the price.
Integrations and data readiness
Each integration -- connecting to a CRM, helpdesk, database, or third-party API -- adds one to three weeks of development time. A project with eight integrations costs significantly more than the same project with two, even if the AI component is identical. Data readiness matters too: if your data exists in clean, structured form, the team can move directly to building. If it needs extraction, cleaning, or structuring, that adds two to four weeks before the AI work can begin.
Team location and engagement model
Offshore development rates are 30--50% lower than US or UK rates at the hourly level. At the project level, the difference is typically 20--35% once coordination overhead is factored in. RaftLabs operates with offshore development and onshore project management -- clients get near-shore communication quality with offshore cost efficiency. Time-and-materials billing suits early-stage exploration. Fixed-price billing suits scoped builds.
Timeline compression
A standard 12-week project delivered in 8 weeks requires a larger team, which increases cost by roughly 15%. If you need something in market fast, expect to pay a compression premium. If timeline is flexible, a longer runway can reduce cost by allowing a smaller team without sacrificing scope.
AI model choice
Using an existing AI model via API (OpenAI GPT-4o, Anthropic Claude, Google Gemini) is the lowest-cost path for most projects. Fine-tuning a model on your data costs more -- typically $10,000--$30,000 in additional effort, plus ongoing API or hosting costs. Building a custom model from scratch is rare for mid-market projects and usually not justified. Generative AI development covers these options in detail.
Compliance and security requirements
Projects in healthcare, finance, or government with HIPAA, SOC 2, or GDPR requirements add audit logging, access controls, data encryption, and documentation that are not required in standard builds. Budget an additional 15--25% of the total project cost for compliance overhead. This is non-negotiable if your industry requires it -- skipping it creates liability.
Software development cost by project type
The table below shows cost ranges across complexity tiers for the most common project types we build. Use these as starting benchmarks before getting a scoped estimate.
| Project Type | Simple | Standard | Complex | Timeline |
|---|---|---|---|---|
| AI Chatbot / Support Agent | $30K--$45K | $45K--$65K | $65K--$80K | 8--12 wks |
| RAG Pipeline / Doc Intelligence | $40K--$60K | $60K--$90K | $90K--$120K | 8--14 wks |
| Voice AI Agent | $50K--$75K | $75K--$110K | $110K--$150K | 10--16 wks |
| SaaS MVP | $60K--$90K | $90K--$120K | $120K--$150K | 10--16 wks |
| Custom Software MVP | $40K--$60K | $60K--$80K | $80K--$100K | 8--14 wks |
| AI-Powered Mobile App | $50K--$70K | $70K--$100K | $100K--$120K | 10--14 wks |
| Business Process Automation | $30K--$45K | $45K--$65K | $65K--$80K | 6--12 wks |
| ERP / CRM Custom Build | $80K--$120K | $120K--$160K | $160K--$200K | 14--20 wks |
Ranges reflect USD pricing for full project delivery. They do not include ongoing hosting, API usage fees, or a post-launch maintenance retainer.
Internal links for specific project types:
AI agent development -- single workflow and multi-agent enterprise builds
AI chatbot development -- customer support, internal helpdesk, and sales bots
Generative AI development -- LLM integration, RAG pipelines, and gen AI products
MVP development services -- product-market fit builds on a fixed timeline
Product discovery phase -- 2-week scoping before committing to a full build
Real project cost examples from RaftLabs
AI chatbot for enterprise customer support
A UK-based energy retailer with 500,000+ customers needed to reduce inbound call volume. The existing IVR handled only the simplest queries. We built an AI chatbot trained on the company's policy documents, billing FAQs, and 18 months of support ticket history -- integrated with their Salesforce CRM and Zendesk helpdesk.
Project cost: $62,000. Timeline: 11 weeks. The chatbot now handles 65% of tier-1 queries end-to-end, with escalation to human agents carrying full conversation context.
RAG pipeline for document intelligence
A US-based legal services firm processed 400+ contracts per month manually -- analysts spent 3--4 hours per contract on clause extraction and comparison. We built a RAG pipeline that ingests uploaded contracts, extracts key clauses, surfaces anomalies against a standard template, and generates a summary report.
Project cost: $78,000. Timeline: 13 weeks. Contract review time dropped to under 30 minutes per document. See our portfolio for additional case studies.
SaaS MVP for a FinTech startup
A US-based FinTech startup needed a working SaaS product to raise their seed round -- two user roles (advisor and client), a portfolio tracking dashboard, a document vault, and Stripe billing. We used a lean two-person pod.
Project cost: $72,000. Timeline: 12 weeks. The product launched to 50 beta users 3 weeks after development ended. The startup raised $2.1M Series A with the product live.
Business process automation
A mid-size e-commerce operator was manually processing supplier invoices -- 200+ per month, copy-pasted into their ERP system. We built an automation that ingests invoice emails, extracts line items using document AI, validates against purchase orders, and posts to their ERP automatically. Exceptions are flagged for human review.
Project cost: $41,000. Timeline: 8 weeks. Manual invoice processing dropped from 3 hours per day to 20 minutes. Error rate went from 4% to under 0.5%.
How to get a fixed-price estimate
Generic quotes don't help you plan. Here is how RaftLabs scopes and prices a project.
Step 1 -- Discovery (2 weeks, $5,000--$10,000): We map your requirements, define the technical architecture, identify all integrations, and produce a full product specification. This removes ambiguity before development starts. The discovery cost is credited toward the full build.
Step 2 -- Fixed-price quote: After discovery, you receive a line-item project quote with a guaranteed total cost and delivery timeline. No open-ended billing. If scope changes, we price the change before building it.
Step 3 -- Delivery (8--20 weeks): A dedicated pod delivers the project in fortnightly sprints with working software at every milestone. You see progress before you pay for it.
The discovery phase is the single best investment you can make before committing to a full build. It tells you exactly what you're buying and exactly what it costs. Start with a product discovery engagement if you're not yet ready to commit to a full build.
Related resources
AI agent development -- cost and scope for single-workflow and multi-agent enterprise builds
AI chatbot development -- chatbot cost breakdown by channel and use case
Generative AI development -- LLM integration, RAG pipelines, and gen AI product builds
MVP development services -- how to scope and price a minimum viable product
Product discovery phase -- 2-week technical scoping before committing to a full build
Frequently Asked Questions
AI development costs range from $30,000 for a simple business process automation to $200,000+ for a complex enterprise ERP or multi-agent AI system. The most common mid-market AI projects -- an AI chatbot, a RAG pipeline, or a SaaS MVP -- typically run between $45,000 and $120,000. The number is driven by complexity, integrations, and team size -- not the type of AI alone.
Custom software development typically costs $40,000 to $200,000+ for a full build. A custom software MVP runs $40,000--$100,000 depending on scope. A production-grade platform with multiple user roles, integrations, and compliance requirements runs $100,000--$200,000+. Pricing is based on team size and duration -- a lean two-person team costs $12,000--$15,000 per month, and most projects run 8--20 weeks.
An MVP typically costs $40,000--$100,000 and takes 8--14 weeks. A narrowly scoped prototype or diagnosis engagement runs $30,000--$50,000. A production-ready MVP with real users and a full feature set runs $60,000--$100,000. SaaS MVPs with billing, auth, and multi-tenant architecture start around $60,000. These ranges include discovery, design, development, QA, and one round of post-launch fixes.
Six things move the number most: (1) project type and complexity -- a voice AI agent costs more than a basic chatbot; (2) number of integrations -- each system connection adds 1--3 weeks; (3) data readiness -- if your data needs cleaning or structuring, add 2--4 weeks; (4) AI model choice -- fine-tuning a model costs more than using an API; (5) timeline compression -- a fast delivery adds roughly 15% to the total; (6) compliance requirements -- HIPAA, SOC 2, or GDPR add scope and cost.
Most AI projects take 8--20 weeks from kickoff to production deployment. A focused AI chatbot or business automation takes 6--12 weeks. A RAG pipeline or SaaS MVP takes 8--16 weeks. A voice AI agent or enterprise ERP build takes 14--20 weeks. Timeline depends on complexity, integration count, and whether your data is ready to use. We build a working demo in the first 2 weeks so you can test the direction before committing to the full build.
Offshore development typically saves 30--50% on hourly rates compared to US or UK-based teams. However, the total project cost difference is usually smaller -- 20--35% -- once you account for coordination overhead, timezone delays, and QA cycles. RaftLabs operates as a near-shore/offshore hybrid with onshore project management, which keeps costs lower than US-only teams while maintaining the communication quality of a local engagement.
Both models exist. Hourly (time-and-materials) billing works for exploratory or evolving projects where scope isn't clear upfront. Fixed price works when scope is well-defined. RaftLabs uses a fixed-price model after a 2-week discovery engagement. We scope the project, then give you a price before development starts -- no open-ended billing. The discovery itself is $5,000--$10,000 and is credited toward the full build.
The minimum project engagement is $30,000. Most projects start with a 2-week discovery phase at $5,000--$10,000, which produces a full technical spec and fixed-price quote. This applies to AI chatbots, automation projects, MVPs, and SaaS builds. Projects below $30,000 are typically too narrow in scope to deliver meaningful business outcomes -- we'll tell you honestly if your project falls below this threshold.