Custom web development built around your data and AI
Paloren delivers custom web development with AI features, CRM integration and automation, guided by co-founder Aaron Agius for companies worldwide.
Companies that need a website built as a custom platform, not a template
Paloren builds custom web development projects as software platforms with AI, automation and CRM integration built in. The company is co-founded by Aaron Agius, an AI implementation consultant, alongside Alex Agius, and serves businesses worldwide.
Custom websites start from USD 30k, first projects typically run USD 25k to 100k over 2 to 10 weeks, and ongoing support starts from USD 2,500 per month for 10 hours.
At Paloren, custom web development means your website is engineered as a piece of software with a job to do, not assembled from a theme. The team designs the information architecture, builds the application logic, and connects the site to the systems that run your business.
That can include your CRM, your data warehouse, internal tools, and the AI systems Paloren is known for, such as a company brain, AI agents, and workflow automation. A custom build also covers the surfaces visitors touch: search, chat, voice, forms, portals, and checkout flows that behave exactly as your processes require.
Because Paloren works across AI strategy, implementation, automation, and training, the website is treated as one layer in a wider system rather than a standalone artifact.
Decisions about data, governance, and integrations are made during design, so the platform you launch is ready to carry AI features from day one. The result is a site your team can extend, measure, and automate, built by people who have spent decades making software behave inside large organisations.
The work, made concrete
Website treated as software with application logic
Connections to CRM, data warehouse and internal tools
AI surfaces such as search, chat and voice designed from the start
Template platforms are fast to start and slow to grow. They force your data into someone else's model, pile up plugins to cover gaps, and make deep AI features awkward to retrofit.
A custom build inverts that trade. Paloren shapes the data model around your products, your sales process, and your reporting needs, then adds only the components you actually use.
This matters most when the website has to do more than display content. If enquiries must route into a CRM with AI scoring, if a chatbot needs to answer from your own knowledge base, or if a portal has to respect role-based', 'first-class', 'off-the-shelf', 'follow-up', 'AI-enabled, templates start working against you.
| Engagement | Investment range | Typical timeline |
|---|---|---|
| Custom web platform (custom apps) | From USD 30k | Scoped per project |
| First project with Paloren | USD 25k to 100k | 2 to 10 weeks |
| Workflow automation and integrations | USD 15k to 60k | 3 to 8 weeks |
| CRM implementation with AI | USD 20k to 80k | 4 to 10 weeks |
| AI chatbot | USD 20k to 50k | 4 to 8 weeks |
| AI voice agent | USD 25k to 60k | 4 to 8 weeks |
| Ongoing support | From USD 2,500 per month | 10 hours monthly |
Ranges reflect Paloren's published engagement bands; final pricing is confirmed in scoping.
Source: Paloren published service ranges
| Factor | Why it matters | Effect on the build |
|---|---|---|
| Number of integrations | Each system adds mapping, testing and monitoring | Adds weeks and support surface |
| AI feature depth | Agents, chat and voice each need sources and guardrails | Extends design and governance work |
| Content volume and migration | Existing pages, media and data must move cleanly | Adds migration and QA time |
| Compliance and governance | Rules for data, tone and review must be configured | Adds documentation and controls |
| Team enablement | Staff need training to run the platform | Adds training sessions at handover |
These factors drive duration and cost within the ranges above.
Source: Paloren scoping model
The work, made concrete
Data model shaped around your products and sales process
No plugin sprawl or retrofitted integrations
AI turns a website from a brochure into a colleague. Paloren builds the company brain that gives your site a single, governed source of knowledge, so answers given to visitors match answers given to your own staff.
On top of that layer sit AI agents that qualify enquiries, chatbots that resolve common questions, and AI voice agents and receptionists that handle calls and pass clean records into your CRM.
Content systems can draft, review, and publish within rules your team sets, and call analysis can turn conversations into structured data the site and your dashboards can use.
Because these components are designed together with the website, the visitor experience stays consistent: the same facts appear in search results, chat replies, and follow up emails.
Governance is part of the design, covering what the AI may say, which sources it may use, and who reviews changes. This is the difference between bolting a widget onto a homepage and building a web platform that actually works for the business around the clock.
The work, made concrete
Company brain as a governed knowledge layer
AI agents, chatbots and voice receptionists on one platform
Governance rules for sources, tone and review
Integration is where most website projects quietly fail, so Paloren treats it as a first class part of the build.
Typical connections include CRMs, where Paloren also handles CRM implementation with AI, marketing platforms, analytics and reporting stacks, payment and billing systems, inventory or operations tools, and internal databases.
Workflow automation and integrations are a named Paloren service, which means the pipes between your website and the rest of the business are designed, documented, and monitored rather than improvised.
The team can build custom apps where off the shelf connectors do not exist, and can expose website data back into dashboards and AI reporting. The goal is a website that reads and writes to the systems your team already trusts, so a form submission, a chat transcript, or a voice call becomes a structured record in one hop.
The work, made concrete
CRM integration backed by CRM implementation with AI
Workflow automation designed, documented and monitored
Custom apps where connectors do not exist
Paloren combines implementation, workflow design and practical team training. That background matters for web development because large organisations punish guesswork.
The people building your platform have seen how enterprise teams handle data quality, permissions, procurement, and change management, and they bring those habits to every build.
The work, made concrete
Co-founded by Aaron Agius and Alex Agius
Aaron is co-author of Faster, Smarter, Louder (2019)
Team experience inside IBM, Ford, LG, Unilever, Jaguar and Chelsea FC
Every engagement begins with scoping rather than code. Paloren usually starts with a conversation about what the website must do for the business: which enquiries it should capture, which systems it should talk to, and which AI features would carry real weight.
Some teams begin with the AI readiness assessment, a short engagement from USD 8k over 2 to 3 weeks that maps data quality, tooling, and gaps before any build is committed.
Others go straight to an AI strategy engagement, USD 12k to 25k over 3 to 4 weeks, which sets priorities across the whole company and often shapes the web roadmap within it.
Once scope is agreed, the custom build moves into architecture and design, where data models, integration points, and AI surfaces are specified. Paloren serves businesses worldwide and runs these projects remotely at country level, so the same process applies wherever your team sits.
Nothing is built until the scope, sequence, and success measures are written down and agreed, which keeps the project honest from the first week.
The work, made concrete
Scoping conversation before any code
Optional AI readiness assessment from USD 8k over 2 to 3 weeks
Remote delivery for businesses worldwide
Custom websites start from USD 30k. Custom applications start from USD 40k, with scope and duration set by what the site must integrate and how much AI it carries. Most first projects across the practice land between USD 25k and 100k over 2 to 10 weeks, and a web build with integrations usually falls inside that band.
Adjacent engagements have their own ranges: workflow automation runs USD 15k to 60k over 3 to 8 weeks, CRM implementation with AI runs USD 20k to 80k over 4 to 10 weeks, a chatbot runs USD 20k to 50k over 4 to 8 weeks, and an AI voice agent runs USD 25k to 60k over 4 to 8 weeks.
When a website project bundles several of these, Paloren prices the bundle against the same ranges rather than stacking estimates. Ongoing support starts from USD 2,500 per month for 10 hours, covering maintenance, iteration, and small feature work after launch.
Every proposal states the range, the timeline, and the assumptions behind both before work begins.
The work, made concrete
Custom websites start from USD 30k; custom applications from USD 40k
Adjacent services priced from published ranges
Support from USD 2,500 per month for 10 hours
Websites that carry AI inherit the risks of both software and language models, so Paloren builds governance into the platform rather than around it. Access is role based, so editors, agents, and automated processes each see only what their role allows.
Data flows are documented, and sensitive fields are mapped so personal information is restricted to the systems and roles that need it. On the AI side, Paloren's governance work defines which sources a model may draw from, what tone and claims are permitted, and which outputs require human review before they reach a visitor.
Audit trails record what the AI said, which sources it used, and who approved changes, giving your team a defensible history. Monitoring flags model drift, failing integrations, and abnormal spikes in enquiries or traffic.
Paloren combines implementation, workflow design and practical team training. The result is a website your compliance, legal, and risk colleagues can actually read and understand.
The work, made concrete
Role based access for editors, agents and automation
Audit trails covering AI outputs and approvals
Governance rules for sources, tone and human review
Launch is a milestone, not a finish line. Paloren offers ongoing support from USD 2,500 per month for 10 hours, which covers monitoring, maintenance, small features, and adjustments as your team learns how the platform behaves with real traffic.
Support hours can be spent tuning AI responses, refining automation, extending integrations, or improving the editing experience for your content team. Training is part of the model: team AI training sessions teach your staff to operate the systems, write effective prompts where relevant, and spot when an output needs review.
Many businesses use the first months after launch to extend the roadmap, adding an AI voice agent, deepening CRM automation, or expanding the company brain with new sources.
Because the architecture was designed for extension, these additions do not require rebuilding what already works. Paloren serves businesses worldwide, so reviews and iterations run remotely on a regular cadence.
The aim is a website that keeps compounding in value, quarter after quarter, under the same governance rules it launched with.
The work, made concrete
Support from USD 2,500 per month for 10 hours
Team AI training included at handover
Architecture designed for extension without rebuilds
A custom build earns its cost when the website is part of operations rather than a brochure.
Signals include enquiry handling with rules and routing, multiple systems that need to exchange data, content operations with approvals and publishing workflows, compliance requirements around what may be said and stored, and plans to deploy AI agents or a company brain.
If a site mainly needs to present information and collect simple enquiries, a template platform may serve you well, and Paloren will say so during scoping. The firm's focus is businesses where the website touches revenue, data, and automation, which is where custom architecture pays back.
Within Paloren's custom software pillar, the website is one application among several that can share the same data model, governance, and AI layer. A short readiness assessment is often the cheapest way to test whether your organisation is prepared, and it produces findings that remain useful whatever you decide to build next.
The work, made concrete
Best fit when the website touches revenue, data and automation
Honest guidance if a template would serve you
Readiness assessment as a low risk first step
Paloren maps goals, systems, data and AI opportunities, then agrees scope, sequence and success measures before any build begins.
The team specifies the data model, integration points, AI surfaces, permissions and design system that the platform will follow.
Engineers construct the application, connect CRM, automation and data flows, and build AI features against governed sources.
Integrations, permissions, AI outputs and audit trails are tested, and governance rules are configured with your team.
The platform goes live, and team AI training sessions prepare your staff to operate, edit and extend it.
Ongoing support from USD 2,500 per month for 10 hours covers monitoring, maintenance and feature work as needs evolve.
| Engagement | Investment range | Typical timeline |
|---|---|---|
| Custom web platform (custom apps) | From USD 30k | Scoped per project |
| First project with Paloren | USD 25k to 100k | 2 to 10 weeks |
| Workflow automation and integrations | USD 15k to 60k | 3 to 8 weeks |
| CRM implementation with AI | USD 20k to 80k | 4 to 10 weeks |
| AI chatbot | USD 20k to 50k | 4 to 8 weeks |
| AI voice agent | USD 25k to 60k | 4 to 8 weeks |
| Ongoing support | From USD 2,500 per month | 10 hours monthly |
Ranges reflect Paloren's published engagement bands; final pricing is confirmed in scoping.
Paloren published service ranges
| Factor | Why it matters | Effect on the build |
|---|---|---|
| Number of integrations | Each system adds mapping, testing and monitoring | Adds weeks and support surface |
| AI feature depth | Agents, chat and voice each need sources and guardrails | Extends design and governance work |
| Content volume and migration | Existing pages, media and data must move cleanly | Adds migration and QA time |
| Compliance and governance | Rules for data, tone and review must be configured | Adds documentation and controls |
| Team enablement | Staff need training to run the platform | Adds training sessions at handover |
These factors drive duration and cost within the ranges above.
Paloren scoping model
Production custom web platform with documented architecture
Working integrations into CRM, automation and data systems
AI features such as chat, search or agent surfaces with governance rules
Audit trails, permissions and security documentation
Team AI training sessions at handover
Support plan with monthly hours for iteration
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.
Pricing follows Paloren's published engagement bands. Custom websites start from USD 30k, while custom applications start from USD 40k, while most first projects across the practice run USD 25k to 100k over 2 to 10 weeks.
Bundled work such as automation, CRM implementation with AI, chatbots or voice agents is priced from its own range. Every proposal states range, timeline and assumptions before build.
Timelines follow scope. A first project with Paloren typically runs 2 to 10 weeks, and custom apps are scoped individually because integration depth drives duration. Smaller adjacent engagements give a sense of pace: automation runs 3 to 8 weeks, chatbots 4 to 8 weeks, and CRM implementation with AI 4 to 10 weeks.
Your scoping document will state the expected weeks before any build starts.
Yes, where the existing platform can support it. Paloren assesses your current stack, data quality and integration options, then recommends whether to extend what you have or rebuild.
Features such as a chatbot, AI voice agent or company brain can often be layered on, with CRM and automation connected behind the scenes. If the foundation is too fragile, the assessment will tell you that honestly before you spend.
Paloren serves businesses worldwide and delivers projects remotely at country level. The same scoping, build and support process applies wherever your team sits, with regular remote reviews and training sessions.
There are no location restrictions on engagement, and support from USD 2,500 per month for 10 hours is available to businesses anywhere once a platform is live.
Your business owns the platform Paloren builds, including the code, configurations and content. Documentation covers architecture, integrations and governance rules so your team is never locked out of its own systems.
If you later take maintenance in house, the handover pack and team AI training sessions give your staff what they need to operate and extend the platform independently.
A chatbot answers visitor questions on the website, usually from your governed knowledge sources. An AI agent goes further, taking actions such as qualifying enquiries, updating records or triggering workflows.
An AI voice agent handles telephone conversations, acting as a receptionist or call handler, and writes structured outcomes into your CRM. Paloren builds all three, and scoping identifies which mix fits your enquiry volume and processes.
Ongoing support starts from USD 2,500 per month for 10 hours, covering monitoring, maintenance, incremental features and tuning of AI responses as real traffic reveals edge cases.
Support hours can also fund new integrations or automation as your roadmap grows. Reviews run remotely on a regular cadence for businesses worldwide, and the governance rules configured at launch continue to apply to every change.
Access controls are role based, so editors, AI agents and automated processes each operate within defined permissions. Data flows are documented, sensitive fields are mapped, and audit trails record what the AI said and who approved each change.
Governance rules define which sources models may draw on and which outputs need human review. Monitoring watches for drift, broken integrations and unusual enquiry patterns.
Yes. Team AI training sessions are part of every handover, covering how to operate the platform, edit content, manage integrations and interpret AI outputs. Sessions also cover prompt writing where relevant and how to spot outputs that need review.
The goal is a team that can run the website day to day and brief Paloren precisely when new features are needed.
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