Most of the cost difference here comes from setup and boilerplate. AI-first workflows eliminate the repetitive scaffolding that traditionally eats the first week of any project.
MVP (minimum viable product)
An MVP validates your concept with real users. One core workflow, basic authentication, a simple admin view, and deployment.
- AI-first agency: $15K-$50K, 3-6 weeks
- Traditional agency: $50K-$120K, 2-4 months
The trouble is most founders say "MVP" but mean "version 1.0 with all the features I eventually want." That's a production app, not an MVP, and should be budgeted accordingly.
At Globalbit, we push back when clients try to stuff 15 features into an MVP. When we built the first version of Moovit, discovery took one week and the MVP build took eight weeks. Moovit launched in one city, long before it had real-time transit data for 100 cities. We shipped it to real users, learned from their behavior and expanded from there. That lean first release grew into a platform with 1.7 billion users in 3,500+ cities across 112 countries.
Production applications
Production-ready apps with full backend, integrations, proper testing, CI/CD, and scalable architecture.
- AI-first agency: $50K-$300K, 2-6 months
- Traditional agency: $100K-$500K, 4-12 months
This is a wide range because "production app" covers everything from a focused SaaS tool to a multi-platform consumer product with real-time features and third-party integrations.
When we built IBI Smart — now the #1 trading app in Israel with 500,000+ users — it required real-time stock data, secure transactions, and regulatory compliance. That kind of complexity pushes toward the upper end of the range. But even that project would cost significantly less today with our agentic workflows handling boilerplate code, test generation, and API integration.
Complex systems
Multi-component systems with extensive integrations, compliance requirements, and organizational complexity.
- AI-first agency: $150K-$700K, 4-12 months
- Traditional agency: $250K-$1M+, 8-18 months
These are genuinely complex projects. Integration with 5-15 existing systems (ERP, CRM, HR, legacy databases). Strict compliance requirements (HIPAA, SOC 2, GDPR, government security standards). Multi-environment deployments. Audit trails, access controls, and data governance. Training and documentation.
Our work on the Israeli Government Design System meant hundreds of accessible components in four frameworks, used by 5,000+ developers across government ministries. That kind of complexity doesn't fit in a simple cost table. The AI-first vs. traditional distinction still holds.
The hidden cost multipliers
The base development cost is usually 60-70% of what you'll actually spend. The rest comes from things most quotes don't include:
Post-launch maintenance: Budget 15-25% of the initial development cost per year. This covers security patches, dependency updates, bug fixes, and minor feature additions. Skip it, and your software starts decaying within months.
Infrastructure: Cloud hosting for a mid-size application runs $500-$5,000/month depending on traffic, data storage, and compliance requirements. Most vendors quote development cost only.
Third-party services: Payment processors, email services, analytics, monitoring, CDNs. These add $200-$2,000/month in operational costs.
QA and testing: If your vendor quoted development without dedicated QA (a specialist costs around $58-68/hour in Israel), expect to spend 20-30% more — or deal with bugs in production.
Why a cheap quote can cost you more
Young agencies often quote low because they haven't priced work they've never had to do. Three areas account for most of the gap.
Regulation. In Israel, a product that stores personal data must meet the Privacy Protection Law, including Amendment 13, and the data security regulations. Public-facing products need accessibility to Israeli Standard 5568. Health products may fall under HIPAA, and financial products under Capital Market Authority rules. An agency that discovers these requirements mid-project bills you for the rework.
Information security. Encryption, role-based permissions, audit logs and a penetration test before launch all take time. A quote that leaves them out looks cheaper on paper. The cost arrives later, as a failed security review with an enterprise client or a data incident.
Architecture. A system built for the demo breaks under real users. Rebuilding the foundation after launch usually costs more than the original build.
The check is simple: ask which system they've already launched in a regulated field like yours, then call that client.
The offshore question
The cheapest quotes come from Bangladesh, Pakistan and India. Low hourly rates rarely survive the management overhead and rework that cultural distance creates. A hybrid model, with Israeli technical leadership and global engineering talent, keeps most of the savings. We explain how it works, with a sample team budget, in why hybrid teams outperform pure offshore.
How agentic development delivers the cost difference
The AI-first pricing above isn't marketing optimism. It reflects measurable changes in how software gets built.
Timeline compression. A project that would take 6 months in traditional development ships in 8-12 weeks with agentic workflows. Development time is the largest cost driver, so shorter timelines translate directly to lower cost.
Higher output per hour. In our measured projects, agentic workflows produce 126% more completed features per sprint. AI handles the repetitive parts, and people handle the parts that need judgment.
Better quality baseline. AI-generated code comes with automated test suites from day one. Fewer bugs reach QA, which means less rework and fewer production incidents.
The catch: agentic development requires senior engineering talent to direct the AI effectively. A senior developer ($77/hour at Globalbit) working with AI agents produces far more than a junior developer using the same tools. The agencies delivering real velocity gains have restructured their teams around senior engineers orchestrating AI, not juniors prompting chatbots.
What to ask before you get a quote
Seven questions that separate useful cost estimates from marketing numbers:
- Are you using AI-first development workflows? This directly affects timeline and cost. Ask for specific before/after metrics on how AI has changed their delivery speed.
- What's included in the development cost? QA, DevOps, project management, design — are these separate or included?
- What happens after launch? Get a maintenance and support quote upfront. If the agency doesn't offer it, find out why.
- What's the team composition? A team of senior engineers ($77-123/hour) with AI tools will deliver faster than six juniors at $50/hour each.
- How do you handle scope changes? Fixed-price contracts sound safe but often end in disputes. Ask how change requests work.
- Can I see a live product you've built? Screenshots and case studies are curated. Ask to use an actual product they shipped.
- What's your experience with regulation and security in our field? Ask which requirements apply to your project and where they appear in the quote. If the answer is vague, they probably aren't in the price.
Frequently asked questions
How much should I budget for an MVP?
With an AI-first agency, budget $15K-$50K for a real MVP that you can put in front of users in 3-6 weeks. With a traditional agency, expect $50K-$120K for the same scope. Anything under $10K will likely need to be rebuilt before it can scale.
Why do different agencies quote such different prices for the same project?
Four reasons. First, they're quoting different scopes — one included testing and DevOps, the other didn't. Second, team seniority differs — senior developers cost more but ship faster with fewer bugs. Third, AI-first vs. traditional workflow is the biggest factor. An AI-first agency delivers the same scope in 40-60% less time. Fourth, a young agency may leave out regulation and security work it has never done. That quote starts lower and ends higher.
Is it cheaper to use offshore development?
The hourly rate is lower, but cultural gaps compound over time. A cheap developer who needs twice the management time and produces code that must be rebuilt ends up costing more. See our comparison of hybrid and pure offshore teams.
How much does ongoing maintenance cost?
Plan for 15-25% of your initial development cost annually. A $200K application needs $30K-$50K/year for updates, security patches, infrastructure management, and minor feature work. Some years it's less, some years more, but that's a reasonable budget baseline.
Building something? We've delivered 200+ projects across every category above. Get a realistic cost estimate for your project.