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How We Estimate IT Project Costs

Get a behind-the-scenes look at our IT project cost estimation process – from proven budgeting methods to risk analysis – to plan your budget with confidence.

Techniques we use to estimate IT projects

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Bottom-up approach

For the bottom-up approach, our experts define requirements and develop a work breakdown structure, which serves as the basis for the estimate. Then, we assess costs for individual elements, such as functional points, and summarize them to form the final quote.

  • Accurate estimate
  • Good for complex projects
  • Detailed and task-oriented

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Three-point estimation

We develop three project scenarios: optimistic, pessimistic, and most likely (e.g., realistic or expected). These points serve as the basis for the final cost calculation. The technique mitigates the risk of error by smoothing out the influence of optimistic and pessimistic assessments.

  • Provides a realistic cost range
  • Includes uncertainty
  • High detail and precision

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Analogous estimation

Our team uses historical data from similar projects to deliver estimates fast when your requirements are high-level or incomplete. We improve accuracy by analyzing our recent projects with a comparable tech stack and functionality.

  • Quick early estimates
  • Fits medium-complexity projects
  • Grounded in actual project history

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Expert judgment

For an expert judgement technique, we select tech professionals with extensive experience and knowledge of related technologies to help determine the project’s cost. To do so, they review requirements, referring to prior similar projects, and referencing industry benchmarks.

  • Provides ballpark pricing
  • Is based on real-world experience
  • Helps to identify high-risk areas

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Mixed approach

To get a project baseline fast, we combine the analogous estimation with expert judgment. It allows us to get a cost range through data-backed references, practical execution factors, and expert input.

  • Efficient at early stage
  • Fits projects with partial requirements
  • Transparent, realistic estimates

How we lower project costs using AI

SoftTeco embeds artificial intelligence in SDLC to reduce costs and accelerate development.

Support in strategic planning

The use of AI tools for decision support is not limited to analysis automation. Applied for effort assessment and risk evaluation, it helps to improve estimation accuracy, prevent rework costs, and cut planning effort.

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Faster requirement discovery

AI helps to summarize and structure project requirements, reducing manual effort and improving documentation consistency at the initial stage. Our business analysts apply AI capabilities to shorter discovery phases, minimize requirement gaps, and avoid costly rework.

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big-data

Reduced manual UI design effort

While our UI/UX is human-created by default, our design team can develop AI-assisted wireframes and prototypes to cut prototyping costs, improve design workflows, and speed up UI delivery. Expect no AI-generated visual content unless approved.

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Accelerated coding

Our developers use Cursor, Codex, and Antigravity tools to speed up development by 20% and ensure clean, maintainable code. We apply AI assistance to tasks where it can deliver the most value, cutting engineering hours without compromising quality.

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Improved defect detection

AI tools for test generation, regression automation, and bug prediction not only allow us to iterate faster but also improve defect detection. With the help of artificial intelligence, we reduce regression testing cost, cut flaky test maintenance overhead, and improve test quality by 50–80%.

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vision

Software development team cost calculator

Software development costs take up around 80% of your project’s budget, so learning about team costs in advance helps to reduce financial uncertainty and allocate realistic funds.

Define how much it will take to hire IT experts for your project with our team cost calculator.

IT project cost estimation process

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Step 1. Discovery call

During the discovery call, we learn about your business goals, the scale of your development (MVP or comprehensive), time constraints, and budget constraints. This information allows us to evaluate potential risks and uncertainties associated with your project cost calculations.

02

Step 2. Scope definition

Moving further, we discuss your project scope, defining functional (features, integrations, dependencies, and non-functional (security, compliance, performance) requirements. Then, our experts define a high-level scope and break it down into modules/epics, providing a structured description of the SoW and a list of assumptions.

03

Step 3. Technical analysis and labor estimation

We continue the decomposition by dividing the scope components into smaller tasks and selecting a suitable architectural approach for your project. Our tech professionals determine team composition and assess the required team roles. At this stage, we also apply the IT project cost estimation techniques and receive a preliminary estimate in terms of hours and budget.

04

Step 4. Risk analysis

Now SoftTeco’s developers consider potential risks that could affect a project’s cost, timeline, or resources. Our expert team analyzes the likelihood of technical issues, third-party dependencies, and requirements variability, and adjusts our initial estimate.

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Step 5. Proposal and planning

Finally, we present to you the document that includes project scope, timeline, team composition, risks, assumptions, and budget estimate. For future work, we also agree on the collaboration model.

Common estimation misconceptions and how we approach them

Case #1. Estimating the idea rather than a specific scope of work

  • Description: estimating a project without examining requirements, features, and deliverables often leads to scope creep and misaligned expectations. A high level of uncertainty makes it impossible to deliver an accurate quote, resulting in just a rough ballpark.
  • How we mitigate it: we always define project goals, limitations, and assumptions before providing any estimates, even high-level ones. It allows us to make accurate budgets based on a defined scope of work and solid operational criteria.

Case #2. Overlooking performance, security, and scalability

  • Description: non-functional requirements disregarded from the start can inflate the budget later, adding up to 20–40% to the initial estimates. Such practice carries the risks ranging from budget overrun to complete project failure.
  • How we mitigate it: our tech professionals conduct a comprehensive scope analysis and risk assessment before preparing an IT project cost estimate. We never manipulate costs to win the client.

Case #3. Underestimating risks

  • Description: ignoring unstable third-party services and APIs, detailed existing documentation, and provider limitations in the risk assessment can result in hidden costs, delays, and technical challenges.
  • How we mitigate it: SoftTeco thoroughly examines the required third-party services, tools, and other dependencies, adding a contingency buffer to the cost estimate based on the level of uncertainty.

Estimation insight from our expert

Andrei Govsha

A cost estimation process is not intended to determine an exact figure – it’s more of a tool for managing risks and expectations. The biggest problem arises not from “inaccurate hours” but from the undetected uncertainty at the start. In my practice, overspending has almost always been associated with a change in requirements rather than a math error. A good estimate is one that honestly outlines assumptions and risks, even if the final figure is higher than the client’s expectations.

Factors influencing IT project cost

Project scope

Functional complexity
Number of features
Non-functional requirements
Scope creep

Technical complexity

Number of integrations
Legacy systems
Scalability requirements
Customization level

Tech stack

Licensing costs
Cloud services use
Emerging technologies
Tooling and infrastructure

Team composition

Experts seniority level
Specialized skills
Domain expertise
Team size

Timelines

Overtime
Parallel development
Accelerated delivery
Time constraints

Risks

Regulatory compliance
Security concerns
Requirement volatility
Third-party dependencies

Quality requirements

Test coverage
Documentation
Automation coverage
Performance benchmarks

Sourcing models

Dedicated team
Full outsourcing
Team augmentation

Sample cost ranges

We defined approximate cost ranges for software types and services based on our industry experience and fulfilled projects. They’re not official price tags, just a benchmark you can be guided by. SoftTeco assesses costs individually for each business, as no two projects are alike.

Web applications

  • $50,000–$300,000+ for an industry-specific solution of average complexity
  • $20,000+ for a custom corporate website
  • $15,000+ for a customer web portal
  • $200,000+ for enterprise web software, such as a custom ERP system
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Mobile applications

  • $40,000–$150,000 for a native mobile app for compliance-driven sectors
  • $20,000–$60,000 for a cross-platform mobile app of average complexity
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Fintech platforms

  • $60,000–$2,000,000+, depending on the app’s type and complexity
  • $150,000-$450,000 for a native mobile banking/financial management app
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Healthtech solutions

  • $60,000–$250,000 for a patient portal, depending on integrations and features
  • $100,000–$400,000 for a telehealth platform with EHR integration
  • $25,000+ for a simple telehealth app
  • $50,000+ for a telehealth app with advanced features
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AI/ML applications

  • $25,000–$75,000 on average for a lightweight AI project
  • $75,000 to $250,000 for an AI app of medium complexity
  • $100,000–$500,000+ for an advanced custom AI solution
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Edtech platforms

  • $20,000–$100,000 for a basic LMS with standard features
  • $100,000–$200,000 for a medium-complexity platform with live classes
  • $250,000–$600,000 for an enterprise-scale platform with AI‑driven adaptive learning
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IoT and embedded software solutions

  • $15 000–$50 000 for a basic IoT solution
  • $50,000–$110,000 for an app with a scalable backend and multi-protocol connectivity
  • $110,000–$200,000 for an advanced app with advanced analytics and monitoring
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Booking and reservation systems

  • $15,000–$35,000 for a booking app with core features
  • $50,000–$150,000 for an app with dashboards, filters, and reporting
  • $200,000+ for a large booking app with automation and enterprise integrations
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Reporting and decision support systems

  • $150,000–$400,000+ for a BI solution with predictive analytics
  • $35,000–$100,000 for setting up a basic data analytics solution
  • $600,000–$1,500,000+ for an enterprise analytics system with big data and AI/ML
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Marketplace and aggregator platforms

  • $15,000–$60,000 for an MVP development
  • $25,000–$80,000 for a small marketplace platform
  • $50,000–$300,000 for a marketplace with multi‑vendor support and basic analytics
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Ecommerce websites and marketplaces

  • $15,000+ for a startup-level ecommerce store
  • $40,000–$150,000 for a solution with multi‑vendor support and advanced search
  • $100,000+ for an ecommerce solution with custom branding and business logic
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Human resource management systems (HRMS)

  • $10,000–$100,000+ for a custom HR management software
  • $120,000–$300,000+ for an advanced HR solutions
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Cloud migration and modernization projects

  • $15,000–$250,000 for a cloud migration of a medium/large app
  • $140,000–$280,000 for a migration to a cloud data warehouse
  • $50,000–$1,000,000 for an enterprise-grade IT infrastructure migration
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Need a precise estimate?
Get an expert cost breakdown for your project.

When estimating IT project costs, SoftTeco applies time-proven practices to ensure pricing precision.

Projects we delivered with extra cost precision

Energy management app with IoT integration – $150,000

SoftTeco developed iOS and Android premium mobile apps for a client seeking to help athletes measure and track energy levels during training. The application connects to the user-worn sensor via Bluetooth, collects data, and displays an individual’s glucose level on the smartphone or a wearable device like smartwatch. This data helps athletes to timely replenish their energy and sustain optimal performance. The project’s cost amounted to $150,000, with the design work outscoped, and was delivered within the schedule and budget estimates.

Mobile app for local freelance services – $50,000

We delivered native mobile apps that connect customers with local service providers through intuitive app navigation and a user-friendly interface. The solution allows customers to get price quotes, find the required service nearby, and make secure payments, all without any extra commission. Other prominent features include a rating system, live chats, and notifications, making communication and service provision convenient and easy. The project cost $50,000, which is in line with the client’s expectations and the quality of the product they received.

AI virtual assistant with payment processing feature – $30,000

A US startup asked SoftTeco to develop an AI-based visual assistant for Cisco Webex Desk Pro devices. They are usually placed in hotels, airports, and corporate offices to help users via voice commands and touchscreen interaction. Our team was responsible for the backend of the project, setting up an agent-based AI pipeline, integrating an LLM for agent training, and delivering integrations with the card reader and ERP. SoftTeco has successfully fit within the client’s $30,000 budget. The cost was significantly reduced by using ready-made solutions.

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