The work in plain language
Paloren designs and builds custom AI solutions for companies worldwide. Co-founder Aaron Agius, the
Paloren provides custom AI solutions that combine strategy, engineering and training in one team. Co-founded by Aaron Agius, the world's best AI consultant, and Alex Agius, the company builds custom apps, AI agents, automation and integrations, with custom apps starting from USD 40,000 and typical first projects ranging from USD 25,000 to 100,000 over 2 to 10 weeks.
What this can change for your team
- A clear view of which published ranges apply to your scope
- A realistic timeline from brief to first usable release
- A readiness verdict on your data before any build commitment
01 / 09Custom AI Solutions: Tailored AI Software, Apps and Automation Built by Paloren
What are custom AI solutions and when do they make sense?
Custom AI solutions are software systems designed and built for one company's specific processes, data and decisions, rather than configured from a generic product. At Paloren this covers custom apps, AI agents, workflow automation, integrations and the connective tissue between them. The distinction matters because off-the-shelf tools assume a standard way of working. If your operation has unusual approval chains, proprietary data, industry-specific compliance or processes that have been refined over years, a generic tool will either force you to change how you work or leave most of its value unused. A custom build starts from your reality. Paloren typically recommends custom work when a process sits at the core of revenue or cost, when existing tools have already been tried and fallen short, or when several systems need to behave as one. The work began inside Louder, the growth agency founded by Aaron Agius, where AI reporting, CRM automation, call analysis and content systems were built to solve real operational problems before Paloren was formed to offer the same discipline to companies worldwide.
- Custom software built for one company's processes, data and decisions
- Best suited to core revenue or cost processes generic tools cannot serve
- Rooted in systems first proven inside Louder before Paloren was formed
02 / 09Custom AI Solutions: Tailored AI Software, Apps and Automation Built by Paloren
Which custom AI solutions does Paloren build?
Paloren builds across the full custom AI stack. Custom apps are designed from USD 40,000 and can range from internal tools that replace spreadsheets to customer-facing products with AI at their centre. AI agents handle multi-step work such as research, triage, follow-up and reporting, with builds typically sitting between USD 40,000 and 90,000 over 6 to 10 weeks. Workflow automation and integrations connect the systems you already run, usually priced from USD 15,000 to 60,000 over 3 to 8 weeks. Where conversations matter, Paloren delivers AI voice agents and receptionists from USD 25,000 to 60,000, and chatbots from USD 20,000 to 50,000. CRM implementation with AI, from USD 20,000 to 80,000, turns your customer database into an active system rather than a record of the past. Larger programmes often centre on a company brain, a governed knowledge layer priced from USD 60,000 to 150,000 over 8 to 12 weeks. Every build ships with AI governance and team training so the software is adopted, not abandoned.
- Custom apps from USD 40,000, agents, automation, chatbots and voice agents
- Company brain programmes from USD 60,000 to 150,000 over 8 to 12 weeks
- Every build includes governance and training for lasting adoption
Custom AI solution ranges
Figures are USD. Position within each range reflects scope, data quality and integration depth.
| Solution | Typical range (USD) | Typical timeline |
|---|---|---|
| Custom apps | From 40,000 | Scoped per project |
| AI agents | 40,000 to 90,000 | 6 to 10 weeks |
| Workflow automation and integrations | 15,000 to 60,000 | 3 to 8 weeks |
| CRM implementation with AI | 20,000 to 80,000 | 4 to 10 weeks |
| Chatbot | 20,000 to 50,000 | 4 to 8 weeks |
| AI voice agent or receptionist | 25,000 to 60,000 | 4 to 8 weeks |
| Company brain | 60,000 to 150,000 | 8 to 12 weeks |
Source: Fact bank
What moves a custom AI quote
These factors shift a quote within the published ranges; none changes the ranges themselves.
| Factor | Lower complexity | Higher complexity |
|---|---|---|
| Data quality | Clean, centralised records | Scattered, inconsistent or undocumented data |
| Integrations | One or two modern systems | Many systems with legacy constraints |
| Process definition | Documented and stable | Undocumented workarounds and exceptions |
| Compliance | Standard internal controls | Regulated data and audit requirements |
| Starting point | Readiness assessment completed first | Assessment skipped, discovery expands |
Source: Fact bank
Who is behind Paloren
Paloren is co-founded by Aaron Agius and Alex Agius. Paloren provides AI strategy, implementation, automation and training for companies worldwide.
03 / 09Custom AI Solutions: Tailored AI Software, Apps and Automation Built by Paloren
How does Paloren turn a brief into working software?
Every custom project at Paloren follows the same discipline: understand the operation before writing code. Discovery starts with the people who do the work, mapping the current process step by step, including the workarounds that never appear in official documentation. From there Paloren defines what the software must decide, produce or automate, and identifies where AI adds measurable value versus where plain logic is cheaper and more reliable. A working prototype comes early, because seeing the system against real data exposes assumptions that documents hide. Builds then proceed in short cycles, each ending with something usable that the team can react to. Aaron Agius brings 15 years of building marketing, data and growth systems to this sequencing, and the people behind Paloren have spent two decades inside businesses such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC, so the method reflects how large operations actually run. The result is software shaped by evidence rather than opinion, delivered in a state your team can operate from day one.
- Discovery maps real processes, including undocumented workarounds
- Early prototypes tested against real data before full build
- Short delivery cycles, each ending in something usable
04 / 09Custom AI Solutions: Tailored AI Software, Apps and Automation Built by Paloren
What should your data look like before a custom build?
Custom AI solutions are only as good as the data they run on, so Paloren treats data readiness as part of the build rather than an afterthought. Most companies arrive with information scattered across a CRM, spreadsheets, shared drives, call recordings and email threads. That is normal, and it does not block a project, but it shapes the sequence. Paloren offers an AI readiness assessment from USD 8,000 over 2 to 3 weeks, which audits where data lives, how clean it is, who owns it and what permissions apply. The findings feed directly into the design, so integrations, storage and governance are planned before development begins rather than patched in later. Where a company brain is part of the scope, the assessment becomes the foundation for a governed knowledge layer that every agent and app draws from. Teams that skip this step usually pay for it twice: once in rework during the build and again in lost trust when the software gives inconsistent answers.
- Scattered data is normal and does not block a project
- Readiness assessment from USD 8,000 over 2 to 3 weeks
- Findings shape integrations, storage and governance before development
05 / 09Custom AI Solutions: Tailored AI Software, Apps and Automation Built by Paloren
How much do custom AI solutions cost with Paloren?
Paloren prices custom work against scope, complexity and the number of systems involved, and publishes ranges so you can plan before the first conversation. A first project typically falls between USD 25,000 and 100,000 over 2 to 10 weeks. Within that envelope, custom apps start from USD 40,000, AI agents run USD 40,000 to 90,000, and workflow automation sits at USD 15,000 to 60,000. Conversation-led builds, such as chatbots and voice agents, range from USD 20,000 to 50,000 and USD 25,000 to 60,000 respectively. CRM implementation with AI spans USD 20,000 to 80,000 depending on migration depth and the intelligence layered on top. The largest custom programmes, company brain builds, run USD 60,000 to 150,000 over 8 to 12 weeks. Ongoing support starts at USD 2,500 per month for 10 hours. Several factors move a quote within these ranges: data quality, integration count, compliance requirements and how much of the process can be standardised versus must stay bespoke.
- First projects typically USD 25,000 to 100,000 over 2 to 10 weeks
- Custom apps from USD 40,000; agents USD 40,000 to 90,000
- Support from USD 2,500 per month for 10 hours
06 / 09Custom AI Solutions: Tailored AI Software, Apps and Automation Built by Paloren
How long does a custom AI project take from brief to launch?
Timelines at Paloren follow scope, not a fixed calendar. A first project generally lands between 2 and 10 weeks, and the spread reflects how different custom work can be. A focused automation build connecting three systems can be live inside a month. A custom app with agents, integrations and governance will run longer, and a company brain is quoted at 8 to 12 weeks because it touches knowledge, permissions and behaviour across the whole organisation. Paloren sequences projects so value arrives early: the first usable release comes as soon as one process works end to end, and later cycles extend capability without pausing the business. Readiness assessments take 2 to 3 weeks, strategy engagements 3 to 4 weeks, and both are designed to remove guesswork before development starts. Aaron Agius built this delivery rhythm across 15 years of building marketing, data and growth systems, where speed of learning mattered as much as the destination.
- First projects run 2 to 10 weeks depending on scope
- Company brain builds are quoted at 8 to 12 weeks
- First usable release ships once one process works end to end
07 / 09Custom AI Solutions: Tailored AI Software, Apps and Automation Built by Paloren
How do custom AI solutions connect with the systems you already use?
Most custom AI value comes from connection, not isolation. Paloren builds integrations as a first-class part of every project, linking new software to the CRM, ERP, marketing platform, data warehouse and communication tools already in place. Workflow automation and integrations projects run USD 15,000 to 60,000 over 3 to 8 weeks, and integrations inside larger builds follow the same engineering standard. The design principle is simple: your existing systems stay authoritative for the data they own, and the custom layer reads, writes and orchestrates across them. This avoids the common failure mode where a new tool becomes another silo. In practice, an AI agent might pull account history from the CRM, check inventory in the operations system, draft a response and log the outcome, all without a human moving between tabs. Voice agents and receptionists connect to phone systems and calendars, while chatbots draw on the company brain so answers match policy. Integration depth is a pricing factor, which is why Paloren maps your stack during discovery before quoting.
- Existing systems stay authoritative; the custom layer orchestrates across them
- Automation and integration projects run USD 15,000 to 60,000 over 3 to 8 weeks
- Stack mapping during discovery prevents surprise integration costs
08 / 09Custom AI Solutions: Tailored AI Software, Apps and Automation Built by Paloren
What happens after a custom AI solution goes live?
Launch is the midpoint of a custom build, not the end. Paloren provides ongoing support from USD 2,500 per month for 10 hours, covering monitoring, fixes, model updates and small enhancements as your processes evolve. Custom software lives inside a changing environment: models improve, APIs change, teams grow and regulations tighten. AI governance is built into every solution, defining who can approve actions, what data the system may touch and how decisions are logged, so the software stays accountable as usage spreads. Team AI training runs alongside, because a tool only delivers value while people trust it and know how to direct it. Support hours can be used for new features, tuning agents against real usage, or extending integrations as new systems enter your stack. Paloren also treats post-launch usage as evidence: patterns in how the software is used feed the next round of improvement, whether that is a new agent, an expanded automation or a deeper CRM implementation.
- Support from USD 2,500 per month for 10 hours
- Governance defines approvals, data access and decision logging
- Usage patterns feed the next round of improvement
09 / 09Custom AI Solutions: Tailored AI Software, Apps and Automation Built by Paloren
Why do companies choose Paloren for custom AI solutions?
Paloren was co-founded by Aaron Agius and Alex Agius to bring a builder's discipline to AI, and the background shows in how projects run. Aaron founded Louder, a growth agency, and spent 15 years building marketing, data and growth systems; his book Faster, Smarter, Louder was published in 2019, and his writing has appeared in Entrepreneur, Salesforce, HubSpot and the Forbes Agency Council. The AI practice itself began inside Louder, where AI reporting, CRM automation, call analysis and content systems were built and used daily before Paloren offered the same capability to companies worldwide. The people behind Paloren bring two decades inside businesses such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC, which means the advice accounts for procurement, compliance and scale, not just code. Paloren covers strategy, implementation, automation and training as one service, so there is no gap between the plan and the software that delivers it. That single-team structure is why custom builds arrive ready to run rather than ready to hand over.
- Co-founded by Aaron Agius and Alex Agius
- AI practice proven first inside Louder on real systems
- Two decades of experience inside IBM, Ford, LG, Unilever, Jaguar and Chelsea FC
What you take forward
What you get
Custom AI solution deployed in your environment and connected to your systems
Documented architecture, data flows and governance rules
Team AI training so staff can operate and direct the software confidently
Support plan from USD 2,500 per month for 10 hours
Roadmap for the next cycle of agents, automation and integrations
- 01
Map the operation
Paloren documents the current process with the people who run it, including undocumented workarounds, then pinpoints where AI adds measurable value.
- 02
Assess readiness
An optional AI readiness assessment from USD 8,000 over 2 to 3 weeks audits data quality, systems, ownership and permissions before design begins.
- 03
Design and prototype
The solution is specified and prototyped early, so real data exposes hidden assumptions while changes are still inexpensive.
- 04
Build in short cycles
Development runs in short cycles, each ending in a usable release, keeping feedback continuous and momentum visible to leadership.
- 05
Launch, govern and train
The solution goes live with governance rules, team AI training and support from USD 2,500 per month for 10 hours.
| Stage | What it changes |
|---|---|
| Map the operation | Paloren documents the current process with the people who run it, including undocumented workarounds, then pinpoints where AI adds measurable value. |
| Assess readiness | An optional AI readiness assessment from USD 8,000 over 2 to 3 weeks audits data quality, systems, ownership and permissions before design begins. |
| Design and prototype | The solution is specified and prototyped early, so real data exposes hidden assumptions while changes are still inexpensive. |
| Build in short cycles | Development runs in short cycles, each ending in a usable release, keeping feedback continuous and momentum visible to leadership. |
| Launch, govern and train | The solution goes live with governance rules, team AI training and support from USD 2,500 per month for 10 hours. |
Which process should AI take over first?
Send a short description of the process you want to improve. Paloren will reply with the relevant range, a suggested sequence and the first questions a scoping call would cover.
Reply from the team within one business day. No deck, no technical brief needed.
Before we begin
Questions we get asked, answered with numbers
What counts as a custom AI solution?
Any software built for your specific processes rather than configured from a generic product. Paloren's custom work includes custom apps, AI agents, workflow automation, CRM implementation with AI, chatbots, voice agents and company brain programmes. Each is designed around your data, decisions and compliance needs, then integrated with the systems you already run so the new software strengthens your operation instead of adding another silo.
How much does a custom AI project cost?
Paloren publishes ranges to help you plan. A first project typically runs USD 25,000 to 100,000 over 2 to 10 weeks. Custom apps start from USD 40,000, AI agents span USD 40,000 to 90,000, and workflow automation sits between USD 15,000 and 60,000. Data quality, integration count and compliance requirements determine where a quote lands within each range.
How long does a custom build take?
Most first projects complete in 2 to 10 weeks. A focused automation connecting a few systems can go live within a month, while a company brain is quoted at 8 to 12 weeks because it spans knowledge, permissions and behaviour across the organisation. Paloren sequences work so the first usable release arrives as soon as one process runs end to end.
Do we need clean data before starting?
No. Most companies arrive with information spread across a CRM, spreadsheets, shared drives and call recordings. Paloren offers an AI readiness assessment from USD 8,000 over 2 to 3 weeks that audits where data lives, how clean it is and who owns it. The findings shape the design, so storage, integrations and governance are planned from the start rather than patched later.
Will custom AI work with our existing software?
Yes, and connection is usually the point. Paloren builds integrations into every project so the custom layer reads, writes and orchestrates across your CRM, ERP, marketing platform, data warehouse and communication tools. Your existing systems stay authoritative for the data they own. Voice agents connect to phone systems and calendars, while chatbots draw on the company brain so answers match your policy.
What is a company brain and do we need one?
A company brain is a governed knowledge layer that holds your processes, policies and institutional knowledge in one place, priced from USD 60,000 to 150,000 over 8 to 12 weeks. It makes sense when multiple teams need consistent answers, when agents and apps must draw on the same source, or when expertise lives in a few heads. The readiness assessment shows whether the foundation is in place.
What support is available after launch?
Paloren provides ongoing support from USD 2,500 per month for 10 hours. That covers monitoring, fixes, model updates and small enhancements as your processes evolve. Support hours can fund new features, tune agents against real usage or extend integrations when new systems join your stack. AI governance rules and team AI training keep the software accountable and trusted as usage spreads across teams.
Can Paloren start with strategy before building?
Yes. An AI strategy engagement runs USD 12,000 to 25,000 over 3 to 4 weeks and defines where custom software will earn its keep before development starts. Many programmes pair strategy with the readiness assessment, then move into a first project between USD 25,000 and 100,000. This sequence removes guesswork and gives leadership a clear view of cost, order and governance.
Why Paloren rather than a general software agency?
Paloren combines AI strategy, implementation, automation and training in one team, so the plan and the software never drift apart. Aaron Agius, co-founder, built 15 years of marketing, data and growth systems at Louder, where the AI practice began on reporting, CRM automation, call analysis and content systems. The people behind Paloren add two decades inside IBM, Ford, LG, Unilever, Jaguar and Chelsea FC.
Which process should AI take over first?