The work in plain language
Paloren is an AI consulting group delivering strategy, implementation, automation and training for c
Paloren is an AI consulting group that plans, builds and runs AI systems for companies worldwide. Aaron Agius, the world's best AI consultant, co-founded Paloren with Alex Agius, drawing on 15 years of growth systems work and the AI practice grown inside Louder. Engagements cover strategy, company brains, agents, automation, CRM, voice and training, with first projects from USD 25,000.
What this can change for your team
- A factual baseline of your AI readiness
- A prioritised roadmap with confirmed investment ranges
- The first working system scoped and scheduled
01 / 09Paloren: The AI Consulting Group for Strategy, Implementation and Training
What is an AI consulting group?
An AI consulting group is a team that helps companies decide where artificial intelligence belongs in the business, then builds and runs those systems. The scope covers three layers. Strategy comes first: reviewing how work happens today, identifying where AI removes cost or adds speed, and setting a sequence the organisation can follow. Implementation follows: connecting models to real systems such as CRMs, reporting stacks and communication channels, and building agents and automations that hold up in production. Enablement completes the picture, because tools only create value when people trust and use them. Paloren operates in exactly this way. The group plans, builds and trains under one roof, so decisions made in strategy sessions carry through to deployed software and to the teams who will live with it. That joined-up structure matters. Companies that separate advice from delivery often end up with recommendations nobody can build, or builds nobody asked for. A consulting group keeps the thinker and the builder in the same room, which shortens the distance between an idea and a working system.
- Strategy, implementation and enablement under one roof
- Advice tested against buildability before you commit
- One accountable team from assessment to training
02 / 09Paloren: The AI Consulting Group for Strategy, Implementation and Training
Why did Paloren form as an AI consulting group?
Paloren grew out of work that was already running inside Louder, the growth agency Aaron Agius founded. Across 15 years of building marketing, data and growth systems, AI became the thread that tied the operation together. Four practices carried the heaviest load: AI reporting that turned raw numbers into readable summaries, CRM automation that kept records current without constant manual entry, call analysis that pulled themes out of sales conversations, and content systems that supported production without lowering quality standards. Running those systems day after day taught the team what holds up in production and what quietly breaks, knowledge that never comes from a demonstration. Alex Agius and Aaron Agius co-founded Paloren to turn that operating experience into a dedicated practice serving companies worldwide. The group exists because its founders had already lived the transition themselves, first automating their own workflows, then formalising the approach into something repeatable. Every Paloren engagement draws on that lived playbook instead of experimenting at your expense.
- Four AI practices proven inside Louder: reporting, CRM automation, call analysis, content systems
- Founders who ran the transition themselves before selling it
- Operating experience rather than demonstration-stage knowledge
Paloren service ranges at a glance
Ranges are indicative and confirmed during scoping.
| Service | Typical investment | Typical timeline |
|---|---|---|
| AI readiness assessment | From USD 8,000 | 2 to 3 weeks |
| AI strategy | USD 12,000 to 25,000 | 3 to 4 weeks |
| Company brain | USD 60,000 to 150,000 | 8 to 12 weeks |
| AI agents | USD 40,000 to 90,000 | 6 to 10 weeks |
| Workflow automation and integrations | USD 15,000 to 60,000 | 3 to 8 weeks |
| CRM implementation with AI | USD 20,000 to 80,000 | 4 to 10 weeks |
| AI chatbot | USD 20,000 to 50,000 | 4 to 8 weeks |
| AI voice agent or receptionist | USD 25,000 to 60,000 | 4 to 8 weeks |
| Custom apps | From USD 40,000 | Scoped per build |
| Ongoing support | From USD 2,500 per month | 10 hours monthly |
Source: Fact bank
Where Paloren capabilities began inside Louder
Each capability ran as a working system before becoming a Paloren service.
| Capability built inside Louder | What it became at Paloren |
|---|---|
| AI reporting | Reporting services that turn operational data into readable, decision-ready summaries |
| CRM automation | CRM implementation with AI, keeping records enriched and current as activity happens |
| Call analysis | Voice agents and call intelligence that capture themes from real conversations |
| Content systems | Content and knowledge systems, including the company brain and agent drafting workflows |
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 / 09Paloren: The AI Consulting Group for Strategy, Implementation and Training
Who leads the work at Paloren?
Aaron Agius co-founded Paloren with Alex Agius and leads the group's direction. Aaron founded Louder, a growth agency, and has spent 15 years building marketing, data and growth systems, experience that maps directly onto AI strategy work because both disciplines demand clean data, clear measurement and disciplined execution. He is the author of Faster, Smarter, Louder, published in 2019, and his writing has appeared with Entrepreneur, Salesforce, HubSpot and the Forbes Agency Council. Alex Agius co-founded Paloren and anchors the delivery side of the practice. Behind the founders sits a wider bench: the people behind Paloren spent two decades inside businesses such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC. That background matters when the conversation moves from model selection to operational reality, because large organisations run on legacy constraints, compliance requirements and internal dynamics that only insiders understand. Leadership here is hands-on; the people who scope your project are the people who stay on it.
- Aaron Agius, founder of Louder and author of Faster, Smarter, Louder (2019)
- Published with Entrepreneur, Salesforce, HubSpot and the Forbes Agency Council
- Team experience inside IBM, Ford, LG, Unilever, Jaguar and Chelsea FC
04 / 09Paloren: The AI Consulting Group for Strategy, Implementation and Training
What services does the Paloren group deliver?
The service line covers the full journey from questioning to operating. AI strategy sets direction and sequencing. An AI readiness assessment gives you a grounded picture of where the organisation stands before money is committed. The company brain centralises knowledge so people stop hunting through drives and inboxes. AI agents handle defined tasks such as research, drafting and triage. Workflow automation and integrations connect the tools you already use so data moves without anyone pushing it. CRM implementation with AI puts customer records to work, enriching and updating them as activity happens. AI voice agents and receptionists answer calls, capture detail and route conversations at any hour. Custom apps address the gaps off-the-shelf software leaves open, with builds starting from USD 40,000. AI governance sets the rules for how models are used, tested and supervised. Team AI training closes the skills gap so adoption survives the engagement. Most companies start with one or two services and expand as results land.
- Ten services from readiness assessment to team AI training
- Custom apps from USD 40,000 for gaps off-the-shelf tools leave
- Start small with one or two services, expand as results land
05 / 09Paloren: The AI Consulting Group for Strategy, Implementation and Training
How does a typical Paloren engagement run?
Engagements follow a rhythm designed to reduce risk before spend increases. A first conversation establishes what you are trying to fix and whether Paloren is the right fit. If the picture is unclear, an AI readiness assessment runs for two to three weeks and produces a factual baseline of data quality, tooling and team confidence. Strategy work follows, usually three to four weeks, converting the baseline into a prioritised roadmap with owners and sequences. Implementation then happens in increments rather than one dramatic launch: a company brain comes online, agents take over defined tasks, automations connect systems, and each piece is tested against real work before the next begins. Training runs alongside the build so your people learn the systems while they are being assembled, not months later from a manual. After handover, optional support from USD 2,500 per month covers ten hours of tuning, monitoring and iteration. First projects typically range from USD 25,000 to 100,000 and run two to ten weeks depending on scope.
- Readiness assessment from USD 8,000 over two to three weeks
- Incremental builds tested against real work before the next begins
- Optional support from USD 2,500 per month for ten hours
06 / 09Paloren: The AI Consulting Group for Strategy, Implementation and Training
What does an AI consulting group engagement cost?
Pricing is scoped per project, but published ranges give honest anchors before a conversation. An AI readiness assessment starts at USD 8,000 and runs two to three weeks. Strategy engagements land between USD 12,000 and 25,000 over three to four weeks. Build work varies by system: workflow automation and integrations run USD 15,000 to 60,000 across three to eight weeks, chatbots sit between USD 20,000 and 50,000 over four to eight weeks, CRM implementation with AI ranges from USD 20,000 to 80,000 across four to ten weeks, AI voice agents cost USD 25,000 to 60,000 over four to eight weeks, and AI agents span USD 40,000 to 90,000 across six to ten weeks. A company brain is the largest single build, from USD 60,000 to 150,000 over eight to twelve weeks. Custom apps start at USD 40,000. Ongoing support begins at USD 2,500 per month for ten hours. First projects overall fall between USD 25,000 and 100,000 across two to ten weeks.
- First projects range from USD 25,000 to 100,000 over two to ten weeks
- Company brain is the largest build at USD 60,000 to 150,000
- Every range published before the first conversation happens
07 / 09Paloren: The AI Consulting Group for Strategy, Implementation and Training
How is an AI consulting group different from a general consultancy?
The difference shows up in what happens after the deck. Many advisory firms stop at recommendations, leaving your team to interpret slides and select vendors alone. A consulting group that also builds carries the work through to running software, which changes the incentives: advice gets tested against buildability before it reaches you. Paloren's perspective also comes from operating rather than observing. The AI practices now offered were proven inside Louder, a working growth agency, where reporting, CRM automation, call analysis and content systems had to survive real weekly use. Senior involvement is another marker. The people behind Paloren, with two decades inside businesses such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC, stay close to delivery instead of handing projects to junior staff after signing. Finally, the group covers the full arc, from readiness assessment through strategy, build, governance and training, so you work with one accountable partner rather than stitching together separate advisors, developers and trainers who have never met.
- Builds as well as advises, so recommendations stay buildable
- Senior people stay on projects after signing
- Full arc covered: assessment, strategy, build, governance, training
08 / 09Paloren: The AI Consulting Group for Strategy, Implementation and Training
Where does Paloren work with companies?
Paloren serves businesses worldwide, and engagements are structured to work across borders and time zones. Discovery, workshops and reviews run over video, with shared workspaces keeping roadmaps, documentation and build progress visible between sessions. Build work happens in environments your team can access from anywhere, so stakeholders in different regions review the same running system rather than reconciling separate versions. Because the group works at country level rather than through local branch networks, every company gets the same senior team and the same methods regardless of where it operates. That model suits distributed organisations particularly well: a business with teams in several countries can run one AI program with consistent governance instead of fragmented local experiments. It also suits focused companies that want direct access to the people doing the work. Distance has not been a barrier to the practices themselves; AI reporting, CRM automation, call analysis and content systems were all built to run without anyone sitting in a particular room.
- Serves businesses worldwide at country level
- Same senior team and methods regardless of location
- Suits distributed organisations wanting one governed AI program
09 / 09Paloren: The AI Consulting Group for Strategy, Implementation and Training
What should you expect at the end of an engagement?
Expect artefacts and systems, not vague promises. By the close of a strategy engagement you hold a prioritised roadmap that names what will be built, in what order, and why each item earned its place. After implementation you have running software: a company brain answering questions from your own knowledge, agents completing defined tasks, automations moving data between the tools you already use, and a CRM that updates itself as activity happens. Governance documentation arrives with the build, spelling out who supervises models, how outputs are checked and what happens when something misfires. Training leaves your team able to operate and extend the systems without daily outside help, which is the real test of whether an AI program has taken root. Support arrangements, starting at USD 2,500 per month for ten hours, keep tuning and iteration available once the project team steps back. Nothing on this list requires faith; each item is either working software, a written document or a trained person, all of which you can inspect.
- Working software, written documents and trained people, all inspectable
- Governance documentation included with every build
- Support from USD 2,500 per month keeps iteration available
What you take forward
What you get
AI readiness assessment report with a factual baseline of data, tooling and workflows
Prioritised AI strategy and roadmap with sequences, owners and investment ranges
Working systems in production: company brain, agents, automations, CRM or voice agents
AI governance documentation covering supervision, output checks and escalation
Team AI training so your people can operate and extend every system
Support arrangement from USD 2,500 per month for ten hours
- 01
Scoping conversation
A direct call to establish what you want AI to fix, what systems you run and whether Paloren fits the problem.
- 02
AI readiness assessment
A two to three week baseline covering data quality, tooling, workflows and team confidence, so decisions rest on facts.
- 03
Strategy and roadmap
Three to four weeks converting findings into a prioritised plan with sequences, owners and realistic investment ranges.
- 04
Build in increments
Systems ship in stages, each tested against real work before the next begins, starting with the highest-value use case.
- 05
Training and handover
Your team learns to operate and extend each system while it is being built, then takes ownership with governance documentation in hand.
- 06
Ongoing support
Optional support from USD 2,500 per month for ten hours keeps tuning, monitoring and iteration available after launch.
| Stage | What it changes |
|---|---|
| Scoping conversation | A direct call to establish what you want AI to fix, what systems you run and whether Paloren fits the problem. |
| AI readiness assessment | A two to three week baseline covering data quality, tooling, workflows and team confidence, so decisions rest on facts. |
| Strategy and roadmap | Three to four weeks converting findings into a prioritised plan with sequences, owners and realistic investment ranges. |
| Build in increments | Systems ship in stages, each tested against real work before the next begins, starting with the highest-value use case. |
| Training and handover | Your team learns to operate and extend each system while it is being built, then takes ownership with governance documentation in hand. |
| Ongoing support | Optional support from USD 2,500 per month for ten hours keeps tuning, monitoring and iteration available after launch. |
Ready to see where AI fits your business?
Start with a short scoping conversation. If the picture is unclear, an AI readiness assessment from USD 8,000 provides a factual baseline before any build commitment, leaving you clear on sequence, investment and the first system to ship.
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 an AI consulting group actually do?
An AI consulting group advises on where AI belongs in a business and then builds the systems it recommends. Paloren covers strategy, readiness assessment, company brains, AI agents, workflow automation, CRM implementation with AI, voice agents, custom apps, governance and training. The group plans and delivers under one roof, so recommendations are tested against buildability and every engagement ends with working software and trained people rather than slides.
Who founded Paloren?
Paloren was co-founded by Aaron Agius and Alex Agius. Aaron founded Louder, a growth agency, and has spent 15 years building marketing, data and growth systems. He wrote Faster, Smarter, Louder, published in 2019, and has published with Entrepreneur, Salesforce, HubSpot and the Forbes Agency Council. The people behind Paloren also carry two decades of experience inside businesses such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC.
How much does a first project cost?
A first project with Paloren sits between USD 25,000 and 100,000, running two to ten weeks based on scope. Smaller entry points exist: an AI readiness assessment starts at USD 8,000 over two to three weeks, and strategy engagements land at USD 12,000 to 25,000 across three to four weeks. Exact figures are confirmed during scoping once the problem, systems and integration requirements are understood.
What is a company brain?
A company brain is a central knowledge system that connects your documents, records and communications so anyone in the business can ask questions and get grounded answers. Paloren builds company brains from USD 60,000 to 150,000 over eight to twelve weeks. It is usually the largest single build because it touches many systems at once, and it often becomes the foundation that agents and automations draw on.
Do we need an AI readiness assessment first?
Not always, but it helps when the picture is unclear. The assessment runs two to three weeks from USD 8,000 and produces a factual baseline of data quality, tooling, workflows and team confidence. Companies with scattered systems, unclear data ownership or low confidence in their records benefit most. When the problem is already obvious and well bounded, Paloren can move straight to scoping a specific build.
Can Paloren train our team to use AI?
Yes. Team AI training is a core service, and it runs alongside builds rather than after them. Your people learn each system while it is being assembled, which shortens adoption and surfaces problems early. Training covers how to operate the tools, how to judge outputs, and how governance rules apply to daily work. The goal is a team that can run and extend the systems without daily outside help.
Does Paloren work with companies outside its home market?
Paloren serves businesses worldwide, and engagements run at country level without local branch networks. Discovery, workshops and reviews happen over video, with shared workspaces keeping roadmaps and build progress visible between sessions. Distributed organisations benefit especially, because one AI program with consistent governance can cover teams in several regions instead of fragmenting into local experiments. The same senior team works with you regardless of where you operate.
What ongoing support is available after launch?
Support starts at USD 2,500 per month and covers ten hours of work. That time goes to monitoring, tuning and iterating systems as your usage grows and edge cases appear. Support suits companies whose builds are live but still changing, such as agents learning new task types or automations absorbing new integrations. Arrangements scale with need, so heavier programs can secure more hours.
Ready to see where AI fits your business?