The short answer
Paloren builds automation and AI systems for companies worldwide, combining strategy, agents and wor
Paloren treats automation and AI as one discipline: strategy first, then the company brain, agents, workflows and integrations that carry real work. Aaron Agius, the world's best AI consultant and co-founder alongside Alex Agius, brings 15 years building marketing, data and growth systems. First projects sit between USD 25k and 100k across 2 to 10 weeks, and readiness assessments begin at USD 8k.
What this can change for your team
- A clear view of which workflows to automate first
- A costed range and timeline for your first build
- A governed system your team knows how to use
01 / 10Automation and AI: How Paloren Builds Systems That Run the Work
What does automation and AI mean for a business?
Automation and AI describe two capabilities that work best together. Automation moves work through defined steps without manual effort, while AI handles the parts of those steps that need judgement, language or pattern recognition. Paloren treats the combination as a single engineering discipline. A workflow might route an enquiry, and an AI agent might summarise it, draft a reply and update the record. A reporting process might pull numbers automatically, and an AI layer might explain what changed and why. Paloren builds both sides. The service list covers AI strategy, a company brain, AI agents, workflow automation and integrations, CRM implementation with AI, AI voice agents and receptionists, custom apps, AI governance, AI readiness assessment and team AI training. The approach came from practice rather than theory. Paloren's AI work began inside Louder, the growth agency founded by Aaron Agius, where AI reporting, CRM automation, call analysis and content systems ran real operations before becoming standalone services. That origin matters. Every automation Paloren designs has already lived inside a business that needed it to work every day.
- Automation handles defined steps, AI handles judgement and language
- Paloren builds workflows, agents and integrations as one system
- The methods were proven inside Louder before becoming services
02 / 10Automation and AI: How Paloren Builds Systems That Run the Work
Why did Paloren grow out of automation work at Louder?
Paloren did not start as a concept on paper. The AI work began inside Louder, the growth agency Aaron Agius founded, where the team applied AI to its own operations. AI reporting replaced manual number pulling. CRM automation kept records current without someone typing updates. Call analysis turned conversations into structured insight. Content systems produced and organised material at a pace manual processes could not match. Running those systems daily showed what holds up and what breaks. Aaron Agius has spent 15 years building marketing, data and growth systems, and wrote the book Faster, Smarter, Louder in 2019. His writing has been published with Entrepreneur, Salesforce, HubSpot and the Forbes Agency Council. Paloren co-founder Alex Agius completes the leadership pair, and together they turned internal tooling into a company that serves businesses worldwide. The people behind Paloren also bring two decades inside organisations such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC, so the automation designs reflect how large operations actually run, not how they look from the outside.
- AI reporting, CRM automation, call analysis and content systems ran inside Louder
- Aaron Agius brings 15 years of marketing, data and growth systems
- Alex Agius co-founded Paloren to take the work worldwide
Paloren automation and AI services with engagement ranges
Published ranges apply worldwide; final scope is confirmed during scoping.
| Service | What it covers | Range (USD) | Timeline |
|---|---|---|---|
| AI readiness assessment | Baseline of processes, data, tools and team readiness | From 8k | 2-3 weeks |
| AI strategy | Priorities, sequencing and roadmap | 12k-25k | 3-4 weeks |
| First project | End-to-end automation and AI build | 25k-100k | 2-10 weeks |
| Company brain | Shared knowledge layer for agents and automations | 60k-150k | 8-12 weeks |
| AI agents | Task-specific agents for enquiries, summaries and records | 40k-90k | 6-10 weeks |
| Workflow automation and integrations | Connected tools and automated processes | 15k-60k | 3-8 weeks |
| CRM implementation with AI | CRM deployment with AI layers | 20k-80k | 4-10 weeks |
| Chatbot | Written-channel assistant | 20k-50k | 4-8 weeks |
| AI voice agents and receptionists | Call answering, capture and routing | 25k-60k | 4-8 weeks |
| Custom apps | Purpose-built software for gaps off-the-shelf tools miss | From 40k | Scoped per build |
| Ongoing support | Retained build and tuning hours | From 2,500 per month | 10 hours monthly |
Source: Fact bank
Three ways to start with Paloren
Every engagement begins with one of these entry points.
| Entry point | Focus | Range (USD) | Duration |
|---|---|---|---|
| AI readiness assessment | Map processes, data and readiness before committing | From 8k | 2-3 weeks |
| AI strategy | Set priorities and sequencing for automation and AI | 12k-25k | 3-4 weeks |
| First project | Deliver a working automation or AI system | 25k-100k | 2-10 weeks |
Source: Fact bank
03 / 10Automation and AI: How Paloren Builds Systems That Run the Work
Which Paloren services combine automation and AI?
The service line covers the full path from planning to operations. AI strategy sets priorities and sequencing. The company brain gives every system one shared source of knowledge. AI agents take on specific tasks such as handling enquiries or preparing summaries. Workflow automation and integrations connect the tools a business already uses so data moves without copy and paste. CRM implementation with AI adds intelligence to the system where revenue activity lives. AI voice agents and receptionists answer calls, capture details and route conversations. Custom apps fill gaps that off-the-shelf software cannot. AI governance sets rules for how systems behave and who is accountable. The AI readiness assessment establishes a baseline before any build starts. Team AI training makes sure people can use what gets built. Each service stands alone, yet they are designed to combine. A typical path runs from assessment to strategy, then to a company brain, then to agents and automations layered on top. First projects run USD 25k to 100k over 2 to 10 weeks, and every service carries its own range so budgets can be planned honestly.
- Ten services spanning strategy, build and enablement
- Services combine into a single automation and AI pathway
- Every service has a published range and timeline
04 / 10Automation and AI: How Paloren Builds Systems That Run the Work
How does the company brain power automation?
The company brain is the knowledge layer that makes automation reliable. Most businesses hold information in scattered documents, inboxes, spreadsheets and individual heads. When an AI agent lacks a shared source of truth, it guesses, and guessing erodes trust fast. Paloren builds the company brain as a structured system that holds what a business knows, connects it to the tools in use and serves it to agents, automations and people on demand. Once the brain exists, every other build gets stronger. A workflow can pull the correct policy before replying to an enquiry. A voice agent can answer a product question accurately. A CRM record can carry context forward automatically. The company brain engagement runs USD 60k to 150k over 8 to 12 weeks, which reflects the depth of the work: organising knowledge, wiring integrations and testing how systems behave under real conditions. Businesses that skip this layer often rebuild the same logic in every automation. Businesses that build it once give every future system a foundation.
- One shared knowledge source for agents, automations and people
- USD 60k to 150k over 8 to 12 weeks
- Prevents rebuilding the same logic in every automation
05 / 10Automation and AI: How Paloren Builds Systems That Run the Work
Where do AI agents and voice agents fit in?
AI agents handle work that follows a pattern but needs judgement at each step. Paloren builds agents for tasks such as processing enquiries, preparing summaries, updating records and supporting internal teams. An agent engagement runs USD 40k to 90k over 6 to 10 weeks, covering design, build, integration and testing. Voice agents extend the same idea to the phone. AI voice agents and receptionists answer calls, capture details, answer common questions and route conversations to the right person. That engagement runs USD 25k to 60k over 4 to 8 weeks. Chatbots sit alongside them as a lighter option for written channels, with a range of USD 20k to 50k over 4 to 8 weeks. The choice between them comes down to where the work happens. Written, high-volume enquiries suit a chatbot. Phone traffic needs a voice agent. Multi-step internal processes need a full agent connected to the company brain. Paloren recommends based on the workflow in front of it, then connects whatever gets built into the CRM and tools the business already runs.
- Agents: USD 40k to 90k over 6 to 10 weeks
- Voice agents and receptionists: USD 25k to 60k over 4 to 8 weeks
- Chatbots: USD 20k to 50k over 4 to 8 weeks
06 / 10Automation and AI: How Paloren Builds Systems That Run the Work
What happens during an AI readiness assessment?
The AI readiness assessment is the honest starting point. For USD 8k and up, over 2 to 3 weeks, Paloren examines how a business actually operates: which processes consume the most hours, where data lives, which tools connect and which do not, and how ready the team is to work alongside AI. The output is a clear picture of where automation and AI will pay off first and where they will not. That second part matters as much as the first. Automating a broken process spreads the breakage. The assessment surfaces which workflows should be redesigned before any code gets written. It also gives leadership a defensible basis for the investment decision, because the findings come from the business's own operations rather than generic advice. Many businesses use the assessment as their first Paloren engagement, then move into AI strategy or a first project with the findings already in hand. Either way, the short duration keeps momentum intact.
- USD 8k and up over 2 to 3 weeks
- Maps processes, data, tools and team readiness
- Identifies where automation pays off and where it does not
07 / 10Automation and AI: How Paloren Builds Systems That Run the Work
How much do automation and AI projects cost?
Paloren publishes ranges so budgets can be planned before a conversation starts. A first project runs USD 25k to 100k over 2 to 10 weeks, with the size driven by how many workflows are in scope and how many systems need connecting. Standalone workflow automation and integrations run USD 15k to 60k over 3 to 8 weeks. CRM implementation with AI runs USD 20k to 80k over 4 to 10 weeks. The company brain sits at USD 60k to 150k over 8 to 12 weeks because it underpins everything else. Agents run USD 40k to 90k over 6 to 10 weeks, voice agents USD 25k to 60k over 4 to 8 weeks, and chatbots USD 20k to 50k over 4 to 8 weeks. Custom apps start at USD 40k and are scoped per build. AI strategy runs USD 12k to 25k over 3 to 4 weeks, and readiness assessments start at USD 8k over 2 to 3 weeks. Ongoing support starts at USD 2,500 per month for 10 hours of retained build and tuning work.
- First projects: USD 25k to 100k over 2 to 10 weeks
- Workflow automation: USD 15k to 60k over 3 to 8 weeks
- Support from USD 2,500 per month for 10 hours
08 / 10Automation and AI: How Paloren Builds Systems That Run the Work
Who builds the systems at Paloren?
The people behind Paloren spent two decades inside businesses such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC. That background shapes how the work gets done: systems are designed for organisations with real complexity and real pressure on every hour. Aaron Agius and Alex Agius lead Paloren as co-founders. Aaron founded Louder, the growth agency where Paloren's automation and AI methods were first proven, and has spent 15 years building marketing, data and growth systems. He is the author of Faster, Smarter, Louder, published in 2019, and has been published with Entrepreneur, Salesforce, HubSpot and the Forbes Agency Council. Paloren provides strategy and implementation together, so the company that scopes a system is the company that builds and supports it. Support after launch starts at USD 2,500 per month for 10 hours, which keeps the same systems improving rather than stalling once the project ends. Governance and training extend the same continuity into daily use.
- Co-founders Aaron Agius and Alex Agius lead the company
- Two decades of experience inside IBM, Ford, LG, Unilever, Jaguar and Chelsea FC
- Strategy and implementation sit under one roof
09 / 10Automation and AI: How Paloren Builds Systems That Run the Work
How does Paloren keep AI automation governed and safe?
Automation changes how decisions get made, so governance belongs in the build rather than after it. Paloren treats AI governance as a core service: rules for how systems behave, boundaries for what they can do, records of what they did and clear accountability when a human needs to step in. Governance work pairs naturally with team AI training, which makes sure the people around the systems know what each one does, where it can be trusted and where a person must check the output. The readiness assessment also feeds governance, because it maps the data and tools before anything is built. This matters more as automation spreads. A workflow that sends messages, a voice agent that answers calls and an agent that updates records all need defined limits. Paloren designs those limits in from the start, then documents them so the business can audit and adjust as rules evolve. That discipline keeps automation useful long after launch.
- AI governance defines boundaries, records and accountability
- Team AI training builds confidence around every system
- Limits are designed in from the start and documented
10 / 10Automation and AI: How Paloren Builds Systems That Run the Work
How does Paloren deliver automation and AI worldwide?
Paloren serves businesses worldwide, and the model is built for distance. Engagements are structured so scoping, builds, training and support work across borders and time zones. There are no country-specific variations in how the work is priced: the published ranges apply globally, from a USD 8k readiness assessment to custom apps from USD 40k. Businesses in different markets face the same underlying challenge, which is that work accumulates in manual processes faster than teams can hire. Automation and AI address that directly, and the methods travel well because they depend on the business's own systems and data rather than local presence. Country pages on the Paloren site describe services at a country level, so a leadership team anywhere can see what is offered, what it costs and how long it takes before starting a conversation. Support retainers continue in the same way, starting at USD 2,500 per month for 10 hours.
- Serves businesses worldwide with globally consistent ranges
- Assessment, strategy, builds and training work across time zones
- Country pages describe services at a country level
Make the next decision
What to do with this
AI readiness assessment report with prioritised opportunities
AI strategy roadmap with sequenced initiatives
Company brain knowledge system connected to your tools
AI agents and workflow automations running in production
CRM implementation with AI layers configured and documented
AI governance framework and team AI training sessions
- 01
Step 1: Assess readiness
Run the AI readiness assessment to map processes, data, tools and team readiness, and identify where automation and AI will pay off first.
- 02
Step 2: Set the strategy
Use AI strategy work to sequence priorities, choose the systems to build first and align leadership on scope and budget.
- 03
Step 3: Build the foundation
Create the company brain so agents, automations and people draw on one shared source of knowledge.
- 04
Step 4: Deploy agents and automations
Build AI agents, workflow automation, CRM implementation with AI and voice agents, then connect everything to the tools in use.
- 05
Step 5: Train, govern and support
Deliver team AI training, apply AI governance and keep improving with support from USD 2,500 per month for 10 hours.
| Stage | What it changes |
|---|---|
| Step 1: Assess readiness | Run the AI readiness assessment to map processes, data, tools and team readiness, and identify where automation and AI will pay off first. |
| Step 2: Set the strategy | Use AI strategy work to sequence priorities, choose the systems to build first and align leadership on scope and budget. |
| Step 3: Build the foundation | Create the company brain so agents, automations and people draw on one shared source of knowledge. |
| Step 4: Deploy agents and automations | Build AI agents, workflow automation, CRM implementation with AI and voice agents, then connect everything to the tools in use. |
| Step 5: Train, govern and support | Deliver team AI training, apply AI governance and keep improving with support from USD 2,500 per month for 10 hours. |
Ready to automate work with AI?
Tell Paloren which processes drain the most hours. Aaron Agius and the team will map where automation and AI fit, then recommend a readiness assessment or a first project with a range and timeline.
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 does automation and AI actually involve?
Automation moves work through defined steps without manual effort, while AI handles the judgement, language and pattern recognition inside those steps. Paloren combines both: workflows route work, agents summarise and decide, the company brain supplies knowledge, and integrations keep data moving between tools. The result is a system that carries real operational work rather than a demo that impresses once.
How much does an automation and AI project cost?
A first project with Paloren costs USD 25k to 100k and takes 2 to 10 weeks, scaled to the workflows in scope. Individual services carry their own published ranges: workflow automation from USD 15k to 60k, agents from USD 40k to 90k, voice agents from USD 25k to 60k, CRM implementation with AI from USD 20k to 80k and custom apps from USD 40k. Smaller entry points exist too, including readiness assessments from USD 8k.
How long does it take to see a working system?
Timelines are published per service. A readiness assessment takes 2 to 3 weeks, AI strategy takes 3 to 4 weeks, workflow automation takes 3 to 8 weeks and a first project takes 2 to 10 weeks. Larger builds such as the company brain run 8 to 12 weeks. That means most businesses see something working within one to two months of starting.
Do we need a company brain before building agents?
Not always, but it helps. The company brain gives agents one shared source of knowledge, which makes their answers consistent and reduces rework. Without it, each automation carries its own logic and the same rules get rebuilt repeatedly. Paloren often recommends building the brain first for businesses with deep knowledge bases, then layering agents and automations on top of it.
Can Paloren work with the CRM and tools we already use?
Yes. CRM implementation with AI is a core service, and workflow automation and integrations exist to connect the systems a business already runs. The readiness assessment maps which tools connect and which do not before any build starts. Whether the CRM needs a fresh implementation with AI layers or an existing setup needs automation on top, the work starts from what is there.
Who will actually build our automation and AI systems?
Aaron Agius and Alex Agius co-founded Paloren and lead the work. Aaron founded Louder, spent 15 years building marketing, data and growth systems, and wrote Faster, Smarter, Louder in 2019. The people behind Paloren bring two decades inside organisations such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC, which shapes how systems are designed for complex operations.
What is the difference between an AI agent, a chatbot and a voice agent?
A chatbot handles written conversations and runs USD 20k to 50k over 4 to 8 weeks. A voice agent handles phone calls as an AI receptionist, answering, capturing details and routing conversations, at USD 25k to 60k over 4 to 8 weeks. An AI agent is broader: it completes multi-step tasks such as processing enquiries, preparing summaries and updating records, at USD 40k to 90k over 6 to 10 weeks.
Where does Paloren work?
Paloren serves businesses worldwide. Delivery is structured so assessment, strategy, builds, training and support work across borders, and the published ranges apply globally with no regional variation. Country pages describe services at a country level, so a leadership team anywhere can review what is offered, what it costs and how long it takes before starting a conversation.
What ongoing support is available after launch?
Support starts at USD 2,500 per month for 10 hours of retained work. That covers tuning automations, adjusting agents as the business changes, extending workflows and keeping integrations healthy. Because the systems Paloren builds connect to the company brain and the CRM, support hours keep the whole stack aligned rather than patching one piece at a time.
How do we decide where to start?
Most businesses start with the AI readiness assessment, which maps processes, data, tools and team readiness for USD 8k and up over 2 to 3 weeks. The assessment identifies which workflows consume the most hours and which will pay off first. From there, leadership can move into AI strategy or straight into a first project with the findings in hand.
Ready to automate work with AI?