Custom web development with AI built into every build
Paloren is a web development company building custom web platforms and AI-powered applications for businesses worldwide, from strategy to launch and support.
Companies that need custom web platforms, portals and applications connected to their AI systems.
Paloren is a web development company that plans, builds and supports custom web platforms, portals and applications with AI built in. Projects start with an AI readiness assessment, then move through design, build, integration and team training.
Paloren builds web platforms that carry real operational weight. That means customer portals where people log in and complete tasks, internal tools that replace spreadsheets and email chains, booking and service flows that hand off to AI agents, and dashboards that surface what the company brain knows.
The team treats a website as software with a job to do, not as a digital brochure. Every build starts from the workflows it must support: who uses it, what decisions it speeds up, which systems sit behind it.
Because Paloren also delivers AI strategy, automation and training, the web layer is never designed in isolation. The same people who map your data and processes decide how the interface should work, so nothing gets lost between the plan and the code.
Companies worldwide use Paloren for this reason: one team handles the platform, the AI inside it and the training that makes staff confident using it. Paloren combines implementation, workflow design and practical team training.
The work, made concrete
Custom portals, internal tools and customer-facing web applications
Platforms designed around workflows, data and AI from day one
One team covering build, AI integration and training
A standalone website slowly turns into a brochure that nobody updates. Those systems proved that value compounds when the web layer talks to the data layer. A customer portal that writes straight into your CRM removes rekeying.
A chatbot wired to the company brain answers from live information instead of stale copy. A voice agent booked through the site can log the call, summarise it and trigger follow-up automatically.
Paloren designs these connections deliberately, because automation and integrations sit alongside web development as core services. The result is a platform that gets more useful over time: every conversation, form and transaction feeds systems that learn what your business actually does.
Training closes the loop, so your people know how to read the signals the platform produces and act on them.
| Engagement | Scope (USD) | Timeline |
|---|---|---|
| Custom web apps and platforms | From USD 40,000 | Scoped per project |
| AI chatbot build | USD 20k-50k | 4-8 weeks |
| AI voice agent or receptionist | USD 25k-60k | 4-8 weeks |
| Workflow automation and integrations | USD 15k-60k | 3-8 weeks |
| CRM implementation with AI | USD 20k-80k | 4-10 weeks |
| AI agents | USD 40k-90k | 6-10 weeks |
| Company brain | USD 60k-150k | 8-12 weeks |
| Ongoing support | From USD 2,500/mo | 10 hours per month |
published ranges for the services most often combined in a web build.
Source: Paloren published service ranges
| Factor | Effect on scope |
|---|---|
| Number of user roles | More roles mean more permissions, views and testing paths |
| Integration count | Each connected system adds mapping, build and QA effort |
| AI feature depth | Chat, voice and agent handoffs each carry their own build time |
| Data readiness | Clean, documented data shortens the path to launch |
| Governance needs | Stricter access and audit rules extend configuration work |
Factors Paloren weighs when sizing a web development project.
Source: Paloren published service ranges
The work, made concrete
Websites that write directly into CRM and reporting systems
Chat, voice and agent features fed by live company data
Paloren treats web development as one layer of a connected stack, so engagements mix services freely. The core offer is custom web applications and platforms, priced from USD 40k, covering portals, internal tools and customer-facing software.
Around that core sit the AI services that make a platform genuinely useful: AI chatbots for self-service, AI voice agents and receptionists for calls booked or escalated through the site, and AI agents that complete multi-step tasks inside the browser.
Workflow automation and integrations link the platform to your CRM, reporting and content systems, while CRM implementation with AI ensures the data behind the site stays clean and actionable.
For organisations that want a single source of truth, the company brain becomes the engine the interface draws from. Governance, readiness assessment and team AI training round out the picture, so the platform launches with rules, confidence and skills in place.
You can start small with one portal and one integration, then expand. Because one team delivers the whole stack, nothing needs to be re-explained when the second phase begins.
The work, made concrete
Custom web apps and platforms from USD 40k
Chatbots, voice agents and AI agents embedded in the interface
Automation, CRM, governance and training layered on top
Every project starts with understanding, not code. Where the picture is unclear, Paloren runs an AI readiness assessment, from USD 8k over 2 to 3 weeks, which examines your data, tools and team skills.
The output tells you honestly whether the organisation is positioned to support an AI-driven platform and what to fix first. Some engagements then add an AI strategy phase, USD 12k to 25k over 3 to 4 weeks, which turns findings into a roadmap with priorities and sequencing.
With that foundation, scoping for the build itself defines user roles, workflows, integrations and the AI features the platform needs. Paloren confirms the price range and timeline in writing before development starts, using the published ranges on this page.
From there the team moves into architecture, design and build sprints, with working software shown early and often. This staged approach protects you from the most common failure mode in web development: committing to a large build before anyone has verified the data and systems underneath it can carry the weight.
The work, made concrete
Optional AI readiness assessment from USD 8k over 2-3 weeks
Optional AI strategy phase from USD 12k-25k over 3-4 weeks
Written scope, price range and timeline before development starts
Custom web applications and platforms start from USD 40k, with final price driven by the number of user roles, the integrations required and the depth of AI features. Most first projects with Paloren land between USD 25k and 100k and run 2 to 10 weeks, which gives you a realistic envelope before scoping.
Add-ons follow published ranges: an AI chatbot runs USD 20k to 50k over 4 to 8 weeks, a voice agent or receptionist runs USD 25k to 60k over 4 to 8 weeks, and workflow automation and integrations run USD 15k to 60k over 3 to 8 weeks.
If the platform draws on a company brain, that engine is scoped separately at USD 60k to 150k over 8 to 12 weeks. Ongoing support starts at USD 2,500 per month for 10 hours.
The table below consolidates every range so you can budget before the first call. Paloren confirms exact figures in a written proposal once scope is agreed, and any change to scope is agreed in writing before it is billed.
The work, made concrete
First projects typically USD 25k-100k over 2-10 weeks
Published ranges for chatbots, voice agents and automation
Support from USD 2,500/mo for 10 hours
Timelines follow scope. An AI readiness assessment takes 2 to 3 weeks and an AI strategy phase takes 3 to 4 weeks, so discovery work is measured in weeks rather than months.
Build timelines then vary by what you are constructing: workflow automation and integrations run 3 to 8 weeks, chatbots and voice agents each run 4 to 8 weeks, CRM implementation with AI runs 4 to 10 weeks, AI agents run 6 to 10 weeks, and a company brain takes 8 to 12 weeks.
Custom web applications are scoped individually, sitting comfortably within the 2 to 10 week envelope of a typical first project. Three things stretch a timeline more than anything else: the number of systems that must be connected, the state of the data those systems hold, and how quickly decisions get made on your side.
Paloren flags these risks during scoping and builds the schedule around them, so the launch date you agree is a date the team plans to hit.
The work, made concrete
Discovery phases measured in weeks, not months
Build timelines from 3 to 12 weeks depending on scope
Integration count and data quality are the biggest schedule risks
That background matters for web development because platforms succeed when they serve growth, not just function. Paloren combines implementation, workflow design and practical team training.
That mix means your build is shaped by people who have sat inside large operations and understand how software survives real organisational life. Paloren serves businesses worldwide, so delivery is structured for remote collaboration across time zones, with clear documentation and predictable communication rhythms.
You work with a senior team from the first call through to launch and beyond.
The work, made concrete
Co-founded by Aaron Agius and Alex Agius
Team experience inside IBM, Ford, LG, Unilever, Jaguar and Chelsea FC
Launch is a milestone, not a finish line. Paloren offers ongoing support from USD 2,500 per month for 10 hours, covering fixes, improvements and advice as usage grows. Handover includes documentation, admin guides and recorded training so your team can operate the platform day to day without dependency.
Team AI training is available as a dedicated service, which matters because a platform with AI features changes how people work: staff need to know when to trust an agent's answer, how to escalate, and where the audit trail lives.
Governance settings are configured before launch and reviewed as usage expands, keeping permissions, data access and oversight aligned with your policies. Many organisations use early support months to tune AI behaviour, refine workflows and prioritise a second phase of features.
Because the same team that built your platform provides the support, context is never lost between delivery and maintenance. The goal is a web platform that keeps earning its keep long after the launch announcement fades.
The work, made concrete
Support from USD 2,500/mo for 10 hours
Documentation, admin guides and recorded training at handover
Governance reviewed as usage grows
Evaluate your data, systems and team skills so the build rests on solid ground, with an optional AI readiness assessment where the picture is unclear.
Map user roles, workflows and integrations, then agree the platform blueprint, price range and timeline in writing.
Deliver working software in short cycles so you see progress early and can shape direction before too much is locked in.
Wire the platform into your CRM, data sources and any chatbots, voice agents or AI agents the workflows require.
Deploy the platform, train your team, hand over documentation and set up ongoing support from USD 2,500 per month.
| Engagement | Scope (USD) | Timeline |
|---|---|---|
| Custom web apps and platforms | From USD 40,000 | Scoped per project |
| AI chatbot build | USD 20k-50k | 4-8 weeks |
| AI voice agent or receptionist | USD 25k-60k | 4-8 weeks |
| Workflow automation and integrations | USD 15k-60k | 3-8 weeks |
| CRM implementation with AI | USD 20k-80k | 4-10 weeks |
| AI agents | USD 40k-90k | 6-10 weeks |
| Company brain | USD 60k-150k | 8-12 weeks |
| Ongoing support | From USD 2,500/mo | 10 hours per month |
published ranges for the services most often combined in a web build.
Paloren published service ranges
| Factor | Effect on scope |
|---|---|
| Number of user roles | More roles mean more permissions, views and testing paths |
| Integration count | Each connected system adds mapping, build and QA effort |
| AI feature depth | Chat, voice and agent handoffs each carry their own build time |
| Data readiness | Clean, documented data shortens the path to launch |
| Governance needs | Stricter access and audit rules extend configuration work |
Factors Paloren weighs when sizing a web development project.
Custom web application or portal built around your workflows
AI features embedded in the interface, such as chat, voice or agent handoffs
Integrations with your CRM, data sources and internal tools
Documentation, admin guides and team AI training
Governance settings, permissions and monitoring configured before launch
Optional ongoing support from USD 2,500 per month for 10 hours
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.
S4 treats a website as software with a job: capture the workflows, connect the AI systems behind them, then build and extend the platform deliberately.
| Step | Stage | What it changes |
|---|---|---|
| 01 | Signal | Log who uses the portal, which spreadsheets it replaces, which systems sit behind it and where rekeying or stale copy causes delays. |
| 02 | Synthesis | Design the customer-portal flows, internal tool screens, chatbot handoffs to the company brain and the CRM or booking integrations each page needs. |
| 03 | System | Build the web layer, wire it to CRM, call analysis and automation services, then test login tasks, booking flows and dashboard data end to end. |
| 04 | Scale | Assign owners to read dashboard signals, train staff on new flows, track task completion and rekeying time, then extend one workflow at a time. |
Both, but the focus sits on platforms where the website does work: portals, booking flows, service tools and dashboards. If you need a content site, Paloren builds it with the same discipline and connects it to your AI systems so content, data and automation stay linked.
Every engagement starts by defining what the site must actually do for your business.
A Paloren web development engagement covers discovery, architecture, interface design, build sprints, AI integration, testing and launch. You also receive documentation, admin training and a plan for governance and support.
Scope depends on how many user roles, integrations and AI features the platform needs, and Paloren confirms all of it in writing before any code is written.
Yes. Workflow automation and integrations are core services, and CRM implementation with AI is a dedicated offering. During scoping the team maps every system the platform must touch and confirms what data moves where before development starts.
Often, yes. Paloren can embed chatbots, AI agents and voice agents into an existing site, then connect them to your data and workflows. An AI readiness assessment helps confirm whether the current platform can support what you want or whether a rebuild makes more sense.
Either way you get a clear recommendation before committing to a larger project.
Paloren serves businesses worldwide and delivers projects remotely across countries and time zones. There is no requirement to sit near a Paloren team; discovery workshops, build reviews and training all run online, with recordings and documentation left behind.
Engagement terms, pricing and delivery are consistent no matter where your organisation operates.
Ownership arrangements are documented in your agreement before work begins, so expectations are clear at handover. Paloren transfers the codebase, credentials and documentation as part of delivery, and your team receives admin training to run the platform day to day.
If you continue with support, Paloren maintains and improves the system under a monthly agreement.
Governance is built into the platform rather than bolted on. Paloren configures permissions, data access rules, audit trails and escalation paths so AI features behave within the limits you set.
For teams that need deeper structure, AI governance is available as a standalone service covering policies, oversight and review routines that keep systems accountable as usage grows.
Start with a conversation about the workflows your platform must support and the systems it must connect to. If the picture is unclear, an AI readiness assessment maps your data, tools and team skills first.
From there Paloren proposes a scoped plan with a price range and timeline, and work begins once the statement of work is signed.
Share the workflows and systems your platform must support. Paloren will map the build, confirm a price range and timeline, and propose the fastest safe path to launch.
What should your website actually do?
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