Software Development Costs Explained by an AI Implementation Team
Paloren explains what software development costs, which factors move the price, and how to budget a custom build with clear ranges.
Founders, operations leaders and IT managers planning a custom software or AI build
Paloren prices custom software from real scoping, not guesswork. First projects run USD 25,000 to 100,000 over 2 to 10 weeks, custom apps start at USD 40,000, and AI agents range from USD 40,000 to 90,000. Book a scoping call to confirm your range.
Paloren prices every custom software project after a structured scoping process, and the published range for a first project sits between USD 25,000 and 100,000 with delivery over 2 to 10 weeks.
A focused internal tool that connects three or four systems and automates one core workflow will land near the lower end. A customer-facing application with AI features, multiple user roles and deeper integration work moves toward the upper end.
Custom apps start from USD 40,000 because even a lean build needs discovery, design, engineering, testing and deployment. Where your project lands depends on four things: how many systems we connect, how much data we clean and structure, how many AI components you include, and how much governance your industry requires.
We quote a fixed range before work begins, and any scope change is agreed in writing before it is billed. If a scope looks bigger than your budget, we cut it into phases and price each phase separately.
Many teams begin with one workflow, prove the value, then fund the next phase from the time saved. That approach keeps risk low and gives your team something working within weeks rather than quarters.
Scope is the biggest driver, but it breaks down into specific forces you can control. Integrations come first: every connection to an existing platform adds engineering time for authentication, data mapping and error handling.
Data condition comes second, because software that reads messy records needs cleanup work before the build can behave predictably. AI components add their own layer, since agents, voice systems and retrieval features each need testing against your real content.
User count and permission complexity matter less than people expect, while workflow complexity matters more; a tool used by five people that orchestrates a twelve-step process costs more than a simple dashboard for five hundred.
Compliance and governance requirements, especially in regulated industries, extend both timeline and budget. Finally, decisions made before development starts have an outsized effect.
Teams that complete an AI readiness assessment and a strategy phase spend less during the build because ambiguity has already been removed. Teams that skip those steps often pay for that ambiguity later through rework.
We surface every one of these drivers during scoping and show you which levers move the number most, so you can trade scope against budget with full information.
Paloren prices custom software from real scoping, not guesswork. First projects run USD 25,000 to 100,000 over 2 to 10 weeks, custom apps start at USD 40,000, and AI agents range from USD 40,000 to 90,000. Book a scoping call to confirm your range.
Keep these in view
| Engagement | Typical scope | Price range (USD) | Timeline |
|---|---|---|---|
| First project | Scoped custom build with defined success measures | USD 25k-100k | 2-10 weeks |
| AI readiness assessment | Systems, data and team review before you commit | From USD 8k | 2-3 weeks |
| AI strategy | Prioritised roadmap and architecture decisions | USD 12k-25k | 3-4 weeks |
| Custom app | Purpose-built internal or customer-facing application | From USD 40k | Scoped per build |
| Company brain | Unified knowledge layer across the business | USD 60k-150k | 8-12 weeks |
Ranges are confirmed during scoping before any work begins.
Source: Paloren published service ranges
| Component | What it does | Price range (USD) | Timeline |
|---|---|---|---|
| Workflow automation | Connects tools and removes manual handoffs | USD 15k-60k | 3-8 weeks |
| AI agents | Completes multi-step work with limited supervision | USD 40k-90k | 6-10 weeks |
| Chatbot | Answers questions from your own content | USD 20k-50k | 4-8 weeks |
| AI voice agent | Handles calls, booking and routing | USD 25k-60k | 4-8 weeks |
| CRM implementation with AI | Pipeline, data and AI features in one system | USD 20k-80k | 4-10 weeks |
Each component prices separately from the base build.
Source: Paloren published service ranges
| Engagement | Timeline | Best suited to |
|---|---|---|
| AI readiness assessment | 2-3 weeks | Teams unsure where software or AI should start |
| AI strategy | 3-4 weeks | Leaders who need a prioritised roadmap |
| Workflow automation | 3-8 weeks | Removing repetitive manual processes |
| CRM implementation with AI | 4-10 weeks | Sales and service teams needing one system |
| AI agents | 6-10 weeks | Delegating multi-step operational work |
| Company brain | 8-12 weeks | Unifying knowledge across every department |
Timelines run from kickoff to launch.
Source: Paloren published service ranges
| Engagement | Typical scope | Price range (USD) | Timeline |
|---|---|---|---|
| First project | Scoped custom build with defined success measures | USD 25k-100k | 2-10 weeks |
| AI readiness assessment | Systems, data and team review before you commit | From USD 8k | 2-3 weeks |
| AI strategy | Prioritised roadmap and architecture decisions | USD 12k-25k | 3-4 weeks |
| Custom app | Purpose-built internal or customer-facing application | From USD 40k | Scoped per build |
| Company brain | Unified knowledge layer across the business | USD 60k-150k | 8-12 weeks |
| Component | What it does | Price range (USD) | Timeline |
|---|---|---|---|
| Workflow automation | Connects tools and removes manual handoffs | USD 15k-60k | 3-8 weeks |
| AI agents | Completes multi-step work with limited supervision | USD 40k-90k | 6-10 weeks |
| Chatbot | Answers questions from your own content | USD 20k-50k | 4-8 weeks |
| AI voice agent | Handles calls, booking and routing | USD 25k-60k | 4-8 weeks |
| CRM implementation with AI | Pipeline, data and AI features in one system | USD 20k-80k | 4-10 weeks |
| Engagement | Timeline | Best suited to |
|---|---|---|
| AI readiness assessment | 2-3 weeks | Teams unsure where software or AI should start |
| AI strategy | 3-4 weeks | Leaders who need a prioritised roadmap |
| Workflow automation | 3-8 weeks | Removing repetitive manual processes |
| CRM implementation with AI | 4-10 weeks | Sales and service teams needing one system |
| AI agents | 6-10 weeks | Delegating multi-step operational work |
| Company brain | 8-12 weeks | Unifying knowledge across every department |
Timelines follow scope. A first project with Paloren takes 2 to 10 weeks from kickoff to launch, and most of that variation comes from how many systems we touch and how much data needs structuring.
Smaller engagements run on shorter clocks: a readiness assessment takes 2 to 3 weeks, a strategy phase takes 3 to 4 weeks, and workflow automation takes 3 to 8 weeks. Larger builds need more room.
AI agents take 6 to 10 weeks, a CRM implementation with AI features takes 4 to 10 weeks, and a company brain, which connects knowledge across your whole business, takes 8 to 12 weeks.
Chatbots and voice agents sit in the middle at 4 to 8 weeks each. We work in short cycles, so you see working software early rather than waiting for one big reveal. Each cycle ends with something you can test, which keeps decisions grounded and catches problems while they are cheap to fix.
If a deadline is fixed, we plan backwards from it and cut scope before we cut quality. The honest answer for most first builds is somewhere between four and eight weeks, and scoping will tell you which side of that you sit on.
Keep these in view
AI features price separately from the base build because they carry their own engineering, testing and governance work. Workflow automation, which connects your tools and removes manual handoffs, ranges from USD 15,000 to 60,000 over 3 to 8 weeks.
AI agents, which complete multi-step work with less supervision, range from USD 40,000 to 90,000 over 6 to 10 weeks. A chatbot that answers questions from your own content runs USD 20,000 to 50,000 over 4 to 8 weeks, while an AI voice agent that handles calls, booking and routing runs USD 25,000 to 60,000 over the same window.
The spread inside each range reflects how many processes the component touches and how much your existing data needs preparation. An agent handling one well-documented workflow costs less than an agent that must reason across several departments.
During scoping we will tell you honestly whether an AI component earns its cost for your use case.
Keep these in view
Both options cost less than a build and both reduce the risk of the build that follows. An AI readiness assessment starts from USD 8,000 and takes 2 to 3 weeks. It reviews your systems, data, security posture and team capability, then reports where software or AI would genuinely pay off and where it would not.
Choose this when you know something needs to change but cannot yet name the project. An AI strategy phase costs USD 12,000 to 25,000 over 3 to 4 weeks and goes further: it produces a prioritised roadmap, architecture decisions and a sequencing plan you can fund in stages.
Choose this when leadership alignment matters more than discovery, for example when several departments want budget for competing ideas. Many teams run the assessment first and the strategy second, using the assessment findings to sharpen the strategy questions.
Others jump straight to strategy when their data landscape is already well understood. Either way, spending under USD 25,000 before a six-figure decision is cheap insurance.
Paloren will tell you during the first call which starting point fits your situation, and we will say so plainly when a build can begin without either step.
Keep these in view
A company brain is Paloren's name for a unified knowledge layer that sits across your business. It connects documents, conversations, records and systems into one place where staff and AI agents can ask questions and get answers grounded in your actual information.
The build ranges from USD 60,000 to 150,000 and takes 8 to 12 weeks, which makes it one of the larger engagements on this page.
The price reflects the integration depth: a company brain must reach into the tools where your knowledge already lives, respect permissions so people only see what they should, and stay current as information changes.
Governance work is built in, because a system that answers questions across a whole company needs clear rules about sources, accuracy and access. Teams usually reach for a company brain after smaller projects prove the pattern.
An automation or chatbot build shows the value of fast answers; the company brain extends that value across every department instead of one. If your knowledge currently lives in scattered drives, inboxes and heads of long-tenured staff, this engagement consolidates it before it walks out the door.
Scoping will map which systems need connecting and place your project inside the published range.
Keep these in view
Software is not finished at launch; it is released. Paloren offers ongoing support from USD 2,500 per month for 10 hours, covering maintenance, monitoring, small improvements and the adjustments every system needs once real users start pushing it in unexpected directions.
Support hours get spent on fixing issues, tuning performance, updating integrations when connected platforms change, and shipping the minor features that surface after launch.
Some teams treat support as insurance and use a few hours a month; others treat it as a continuous improvement budget and direct the hours each month toward a running list of refinements.
Both patterns work, and you can step support up or down as your needs change. What we recommend against is launching and walking away. Integrations drift, models improve, and business processes evolve, so software left untouched quietly loses value.
A modest monthly commitment keeps your build aligned with how the business actually operates. For teams planning major additions, we scope those as new phases with their own ranges rather than squeezing them into support hours, which keeps both the budget and the expectations honest.
Your scoping document will spell out exactly what support covers before you commit.
Keep these in view
Paloren combines implementation, workflow design and practical team training. That background shapes how we price: we have sat on the buying side of technology decisions and we know what it feels like to receive a vague quote.
So we publish ranges, scope before we commit, and phase work so each stage stands on its own. We serve businesses worldwide and work remotely across borders as standard. When you ask what software development costs, the answer you get from us comes from people who have built and bought these systems, not from a template.
Keep these in view
Start with the problem, not the technology, and write down the one process that hurts most. Then pick a starting engagement that matches how clear your thinking is. If the problem is obvious and the scope is narrow, book a scoping call and move straight toward a first project in the USD 25,000 to 100,000 band.
If you need evidence before committing, begin with a readiness assessment from USD 8,000 and let the findings shape the brief. Budget for the whole lifecycle, not just the build: add support from USD 2,500 per month and hold a little back for the improvements that always appear once real users arrive.
Resist the temptation to fund everything at once. A phased plan, where phase one proves value and later phases expand it, keeps cash flow manageable and gives you options if priorities shift.
Ask any team you speak with, us included, to show which parts of the estimate could shrink and which could grow, and why. Finally, agree success measures before development starts, because a build without defined outcomes cannot be judged fairly.
Paloren walks every new team through exactly this sequence on the first call, and the ranges on this page are the reference points we use.
Keep these in view
Describe the process you want to improve and the systems involved. Paloren confirms which starting engagement fits and gives you an initial position within the published ranges.
A readiness assessment from USD 8,000 or a strategy phase from USD 12,000 maps your systems, data and priorities so the build rests on facts rather than assumptions.
Engineering runs in short cycles inside the 2 to 10 week first-project window, with working software to test at every stage rather than one late reveal.
The system goes live in your environment with documentation and team AI training so staff can operate and question it confidently from day one.
Ongoing support from USD 2,500 per month for 10 hours keeps the system maintained, and major additions are scoped as new phases with their own ranges.
Scoping document with a fixed price range, timeline and success measures
Working custom software deployed to your environment
Integrations connecting the build to your existing tools and data
Documentation plus team AI training for the people who will use it
An ongoing support option from USD 2,500 per month for 10 hours
| Engagement | Typical scope | Price range (USD) | Timeline |
|---|---|---|---|
| First project | Scoped custom build with defined success measures | USD 25k-100k | 2-10 weeks |
| AI readiness assessment | Systems, data and team review before you commit | From USD 8k | 2-3 weeks |
| AI strategy | Prioritised roadmap and architecture decisions | USD 12k-25k | 3-4 weeks |
| Custom app | Purpose-built internal or customer-facing application | From USD 40k | Scoped per build |
| Company brain | Unified knowledge layer across the business | USD 60k-150k | 8-12 weeks |
Ranges are confirmed during scoping before any work begins.
Paloren published service ranges
| Component | What it does | Price range (USD) | Timeline |
|---|---|---|---|
| Workflow automation | Connects tools and removes manual handoffs | USD 15k-60k | 3-8 weeks |
| AI agents | Completes multi-step work with limited supervision | USD 40k-90k | 6-10 weeks |
| Chatbot | Answers questions from your own content | USD 20k-50k | 4-8 weeks |
| AI voice agent | Handles calls, booking and routing | USD 25k-60k | 4-8 weeks |
| CRM implementation with AI | Pipeline, data and AI features in one system | USD 20k-80k | 4-10 weeks |
Each component prices separately from the base build.
| Engagement | Timeline | Best suited to |
|---|---|---|
| AI readiness assessment | 2-3 weeks | Teams unsure where software or AI should start |
| AI strategy | 3-4 weeks | Leaders who need a prioritised roadmap |
| Workflow automation | 3-8 weeks | Removing repetitive manual processes |
| CRM implementation with AI | 4-10 weeks | Sales and service teams needing one system |
| AI agents | 6-10 weeks | Delegating multi-step operational work |
| Company brain | 8-12 weeks | Unifying knowledge across every department |
Timelines run from kickoff to launch.
Signal → Synthesis → System → Scale
Find where intelligence creates value.
Understand the business to identify and prioritize the opportunities with the greatest measurable impact.
Translate complexity into a clear design.
Bring together the people, workflows, data, and technology to define how intelligence should work.
Turn the design into a working capability.
Build the solution that embeds intelligence into how work and decisions happen.
Compound what works.
Measure impact, optimize performance, maintain reliability, and unlock greater leverage.
From signal to scale.
Paloren prices custom software between USD 25,000 and 100,000 using a structured scoping process, then builds in phases over 2 to 10 weeks so budget and risk stay controlled.
| Step | Stage | What it changes |
|---|---|---|
| 01 | Signal | Inventory the systems to connect, the state of your data, candidate workflows for automation and any compliance or governance obligations your industry imposes. |
| 02 | Synthesis | Define scope per workflow, decide which AI components earn their cost, and set integration priorities with a fixed price range before engineering begins. |
| 03 | System | Build the first workflow with discovery, design, engineering, testing and deployment; handle authentication, data mapping and error handling for each integration. |
| 04 | Scale | Prove value on one workflow, then fund the next phase from time saved; track cleanup hours, integration count and phase-level delivery against the quoted range. |
A first project ranges from USD 25,000 to 100,000 and takes 2 to 10 weeks, depending on how many systems we connect and which AI components you include. Custom apps start from USD 40,000.
Smaller entry points exist too: a readiness assessment starts from USD 8,000 and a strategy phase runs USD 12,000 to 25,000. Scoping confirms your exact position within these published ranges before any build begins.
The lowest-cost entry is an AI readiness assessment, which starts from USD 8,000 and runs for 2 to 3 weeks. It reviews your systems, data and team capability, then identifies where software or AI would pay off.
Teams often follow it with a strategy phase at USD 12,000 to 25,000, or move straight into a scoped first build once the findings make the priorities obvious.
Most first projects take between 2 and 10 weeks from kickoff to launch. A focused internal tool connecting a few systems sits at the shorter end, while a customer-facing application with AI features and deeper integration work takes longer.
Workflow automation runs 3 to 8 weeks, AI agents take 6 to 10 weeks, and a company brain needs 8 to 12 weeks. Scoping will place your project on this timeline.
Base builds and AI components are priced separately because each carries its own engineering and testing work. Workflow automation ranges from USD 15,000 to 60,000, AI agents from USD 40,000 to 90,000, chatbots from USD 20,000 to 50,000, and AI voice agents from USD 25,000 to 60,000.
During scoping we will tell you honestly whether an AI component earns its cost for your specific use case.
Ongoing support starts from USD 2,500 per month for 10 hours. Those hours cover maintenance, monitoring, small improvements and updates to integrations when connected platforms change.
You can direct the hours each month toward a running list of refinements or simply keep them as a safety net. Larger additions are scoped as new phases with their own published ranges, so support stays predictable and major work stays visible.
Yes. Integration is central to how Paloren works, whether that means connecting a custom app to your current tools, implementing a CRM with AI features at USD 20,000 to 80,000, or layering automation across platforms you already use.
Scoping maps every system that needs connecting, and the readiness assessment flags data condition issues early so integration work is priced accurately rather than discovered mid-build.
Paloren was co-founded by Aaron Agius and Alex Agius. Paloren combines implementation, workflow design and practical team training.
Paloren serves businesses worldwide and works remotely across borders as standard. There are no geographic restrictions on who can book a scoping call, and engagements run the same way regardless of where your team sits.
Pricing on this page applies globally in US dollars, so a company in one region pays the same published ranges as a company anywhere else for equivalent scope.
The readiness assessment exists to answer exactly that question. For a starting price of USD 8,000 over 2 to 3 weeks, Paloren reviews your systems, data and workflows, then reports where a custom build would genuinely pay off and where off-the-shelf tools or process changes would serve you better.
If software is not the right answer, we will say so before you spend build-level budget.
Ready to scope your software project?
Book your scoping call