One AI co for strategy, systems, automation and team training
Paloren is the artificial intelligence co for strategy, implementation, automation and training. Co-founded by Aaron Agius, serving companies worldwide.
Founders and operations leaders worldwide who need an AI co for strategy and delivery
Paloren is an artificial intelligence co built for companies that want AI working inside daily operations. Aaron Agius, an AI implementation consultant, co-founded Paloren with Alex Agius, drawing on 20 years of growth, marketing and data systems work.
The company provides AI strategy, implementation, automation and training worldwide, with projects starting from USD 25,000.
An artificial intelligence co is a company whose core business is making AI useful inside other companies. The term gets used loosely, so it helps to be precise. A genuine AI co does three things.
It advises, which means assessing where AI can improve the way a business operates and setting a strategy that leaders can act on. It builds, which means designing and implementing systems such as a company brain, AI agents, workflow automations, CRM platforms and voice agents.
It enables, which means training teams so people can use the tools confidently long after the project ends. Paloren does all three, which is why its service list runs from an AI readiness assessment through strategy, delivery and governance to team training.
That breadth matters because AI rarely succeeds as a single tool. Value comes from connecting strategy, systems and skills so that what gets built is actually adopted. When you evaluate any AI co, look for that full spectrum rather than a narrow offer limited to one product or one model integration.
The work, made concrete
Advises on where AI improves operations
Builds systems such as agents, automations and CRMs
Trains teams so adoption continues after launch
Most companies now accept that AI will change how they operate, yet very few have the internal capability to act on that belief. Executives juggle vendor pitches, internal pilots and conflicting advice, and progress stalls.
Searching for an AI co is usually a sign that leadership wants one accountable partner instead of a patchwork of tools and opinions. The pressure shows up in familiar places.
Reports take days to assemble when leaders need them in minutes. Sales teams spend hours on data entry instead of selling. Support queues grow while response quality drops.
New hires take months to learn processes that live in nobody's head. Paloren was created to address exactly this gap. Companies searching for an AI co are really searching for proof that AI can work in a business like theirs, and that proof comes from practice.
| Service | Typical range (USD) | Typical timeline |
|---|---|---|
| First project | 25,000 to 100,000 | 2 to 10 weeks |
| AI readiness assessment | From 8,000 | 2 to 3 weeks |
| AI strategy | 12,000 to 25,000 | 3 to 4 weeks |
| Company brain | 60,000 to 150,000 | 8 to 12 weeks |
| 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 |
| AI chatbot | 20,000 to 50,000 | 4 to 8 weeks |
| AI voice agent | 25,000 to 60,000 | 4 to 8 weeks |
| Custom apps | From 40,000 | Scoped per build |
| Ongoing support | From 2,500 per month | 10 hours monthly |
All figures in USD. Final pricing is set once scope is agreed.
Source: Paloren published service ranges
| Service | What it does | Best suited to |
|---|---|---|
| AI strategy | Sets priorities, sequencing and guardrails for AI adoption | Leaders needing a plan before investment |
| Company brain | Central knowledge layer answering questions with company information | Teams losing time searching for answers |
| AI agents | Complete defined tasks such as research, drafting and follow up | Functions with repetitive knowledge work |
| Workflow automation and integrations | Connects tools and removes manual handoffs | Operations with data moving between systems |
| CRM implementation with AI | Unifies pipeline, activity and communication data | Sales and revenue teams |
| AI voice agents and receptionists | Answer calls, capture details and route conversations | Businesses with high call volume |
| Custom apps | Builds software for requirements standard tools cannot meet | Unique internal processes |
| AI governance | Establishes policies, controls and review practices | Teams scaling AI responsibly |
| Team AI training | Builds practical skills for daily AI use | Workforces adopting new systems |
Services can be engaged individually or sequenced as a roadmap.
Source: Paloren published service ranges
The work, made concrete
Leaders want one accountable partner, not scattered tools
Manual reporting, data entry and support drain teams
Paloren covers the full delivery path, so companies do not need to assemble several providers. Strategy comes first, often through an AI readiness assessment that examines data, systems, skills and governance before any build begins.
From there, the company brain gives teams a central knowledge layer that answers questions with the business's own information. AI agents handle defined tasks such as research, drafting and follow up, while workflow automation and integrations remove repetitive handoffs between tools.
CRM implementation with AI brings pipeline, activity and communication data into one working system. AI voice agents and receptionists answer calls, capture details and route conversations around the clock.
Custom applications cover requirements that off the shelf products cannot meet. AI governance establishes policies, controls and review practices so systems stay safe and compliant as usage grows.
Finally, team AI training turns capability into habit, giving staff the skills to use and supervise the systems daily. Each service stands alone, but the strongest outcomes come from sequencing them, starting with readiness and strategy, then building, then training. A good AI co should be able to walk that whole path with you.
The work, made concrete
AI readiness assessment and strategy before any build
Company brain, agents, automations, CRM and voice systems
Governance and team training to sustain adoption
Paloren was co-founded by Aaron Agius and Alex Agius. That history matters because AI delivery is less about model trivia and more about understanding how a business generates demand, manages data and runs its operations.
The wider team adds another dimension. Paloren combines implementation, workflow design and practical team training. This combination shapes how Paloren works. Strategy is written for operators, not for slide decks.
Systems are designed against real workflows rather than generic templates. Training assumes busy teams with limited patience for theory. When you hire an AI co, you are hiring judgement as much as technology, and judgement comes from years spent inside businesses where results were measured and mistakes were expensive.
The work, made concrete
Co-founded by Aaron Agius and Alex Agius
Aaron co-authored Faster, Smarter, Louder in 2019
Team experience spans IBM, Ford, LG, Unilever, Jaguar and Chelsea FC
Engagements follow a deliberate sequence designed to remove uncertainty before spending escalates. Most relationships start with a conversation about goals and current systems, followed by an AI readiness assessment if the business wants evidence before committing.
Strategy work then converts findings into a prioritised roadmap, naming the initiatives worth building first and the ones to defer. Implementation happens in focused phases, each with a defined scope, timeline and owner on both sides.
A company brain might be the first build, or an automation targeting the most painful manual process, depending on what the assessment reveals. Every phase ends with documentation, training and a review against the roadmap, so momentum never rests on one person's memory.
After handover, ongoing support is available from USD 2,500 per month for ten hours, covering refinements, monitoring and advice as usage grows. The structure protects both sides.
The business always knows what is being delivered and why, and Paloren can be held to the plan it proposed. A disciplined AI co should feel less like a vendor selling licenses and more like a team extending your own.
The work, made concrete
Start with goals, then readiness evidence
Build in phases with defined scope and owners
Support continues from USD 2,500 per month
Paloren publishes ranges because vague pricing wastes everyone's time. A first project typically sits between USD 25,000 and USD 100,000 and runs two to ten weeks, with the exact figure shaped by scope, data condition and the number of systems involved.
Individual services carry their own ranges. An AI readiness assessment starts at USD 8,000 over two to three weeks. Strategy engagements run USD 12,000 to USD 25,000 across three to four weeks.
A company brain costs USD 60,000 to USD 150,000 over eight to twelve weeks. AI agents range from USD 40,000 to USD 90,000 across six to ten weeks. Workflow automation sits between USD 15,000 and USD 60,000 over three to eight weeks.
CRM implementation with AI runs USD 20,000 to USD 80,000 in four to ten weeks. Chatbots cost USD 20,000 to USD 50,000, voice agents USD 25,000 to USD 60,000, and custom applications start at USD 40,000.
Ongoing support begins at USD 2,500 per month for ten hours. Ranges exist honestly, because two businesses asking for an agent may need very different integration depth. Any AI co that quotes a firm number before understanding your systems is guessing.
The work, made concrete
First projects run USD 25,000 to USD 100,000
Readiness assessments start at USD 8,000
Support begins at USD 2,500 per month for ten hours
Software vendors sell licenses and leave adoption to you. General consultancies produce recommendations and often stop before anything is built. An AI co occupies the ground between those models and goes further on both ends.
Paloren advises and then implements, which means the same team that writes the strategy also builds the company brain, configures the CRM, deploys the agents and trains the staff.
Accountability never gets split between a firm that diagnosed the problem and a supplier that shipped the tool. The difference shows in decisions. A vendor recommends whatever its platform supports.
A pure consultancy recommends whatever fills the deck. An AI co recommends what its own engineers will have to make work, which keeps advice honest. It also changes the questions asked early.
Instead of starting with product features, the conversation starts with workflows, data quality, governance and the skills of the people who will use the system daily. Businesses comparing options should ask each provider one direct question: will you still be involved after go live? The answer separates an AI co from everything else.
The work, made concrete
Vendors sell tools, consultancies sell advice, an AI co delivers both
The team that writes strategy also builds and trains
Advice stays honest because Paloren implements its own recommendations
Selection comes down to evidence, fit and transparency. Start with evidence. Ask where the provider has built systems in a live business, not only in demonstrations. Next, assess fit.
A solo consultant may lack the breadth to deliver a company brain, while a large firm may assign your project to juniors. Look for a team whose experience matches the complexity you face, and ask who exactly will do the work.
Then test transparency. A serious AI co explains ranges, timelines and tradeoffs in plain language, flags risks before you ask, and tells you when a project is not worth doing.
Beware anyone promising transformation without first examining your data and processes. Finally, weigh the relationship. You will work with these people for weeks, possibly years, so choose a partner that communicates clearly and treats training as core scope.
The right choice feels less like buying and more like appointing a capability.
The work, made concrete
Ask for delivery evidence from a live business, not demos
Confirm who will actually do the work
Choose transparency over transformation promises
Paloren serves businesses worldwide, and the model was designed for that reach from the start. Service is organised at country level rather than around office locations, so access to the same senior team does not hinge on where a business operates.
Company size matters more than geography. The services suit organisations that have real operational volume, meaning enough data, enough process and enough people for automation to pay for itself.
A business drowning in manual reporting, a sales team fighting its CRM, a support function buried in repetitive tickets, an operations leader who cannot see what is happening across systems: these are the situations where an AI co earns its fee.
Smaller teams benefit too, particularly through readiness assessments and training that prevent expensive mistakes before they happen. What Paloren avoids is complexity for its own sake.
If a company would be better served by a simple tool than a custom build, the advice says so. Country level service means there is no office to locate and no local presence required, just a team that ships systems, documents them and trains your people wherever they operate.
The work, made concrete
Serves businesses worldwide at country level
Best fit is organisations with real operational volume
Advice favours simple tools over unnecessary builds
A focused discussion about goals, current systems and pain points, so Paloren understands where AI can help your business first.
An examination of data, tools, skills and governance that establishes a factual baseline before any build begins.
Findings become a prioritised plan naming which initiatives to build first, which to defer and what each will require.
Systems such as a company brain, agents, automations, CRM or voice agents are delivered in focused phases with defined scope.
Every system is documented, your team is trained, and ongoing support remains available from USD 2,500 per month.
| Service | Typical range (USD) | Typical timeline |
|---|---|---|
| First project | 25,000 to 100,000 | 2 to 10 weeks |
| AI readiness assessment | From 8,000 | 2 to 3 weeks |
| AI strategy | 12,000 to 25,000 | 3 to 4 weeks |
| Company brain | 60,000 to 150,000 | 8 to 12 weeks |
| 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 |
| AI chatbot | 20,000 to 50,000 | 4 to 8 weeks |
| AI voice agent | 25,000 to 60,000 | 4 to 8 weeks |
| Custom apps | From 40,000 | Scoped per build |
| Ongoing support | From 2,500 per month | 10 hours monthly |
All figures in USD. Final pricing is set once scope is agreed.
Paloren published service ranges
| Service | What it does | Best suited to |
|---|---|---|
| AI strategy | Sets priorities, sequencing and guardrails for AI adoption | Leaders needing a plan before investment |
| Company brain | Central knowledge layer answering questions with company information | Teams losing time searching for answers |
| AI agents | Complete defined tasks such as research, drafting and follow up | Functions with repetitive knowledge work |
| Workflow automation and integrations | Connects tools and removes manual handoffs | Operations with data moving between systems |
| CRM implementation with AI | Unifies pipeline, activity and communication data | Sales and revenue teams |
| AI voice agents and receptionists | Answer calls, capture details and route conversations | Businesses with high call volume |
| Custom apps | Builds software for requirements standard tools cannot meet | Unique internal processes |
| AI governance | Establishes policies, controls and review practices | Teams scaling AI responsibly |
| Team AI training | Builds practical skills for daily AI use | Workforces adopting new systems |
Services can be engaged individually or sequenced as a roadmap.
AI readiness report with prioritised findings
AI strategy and implementation roadmap
Working systems such as a company brain, AI agents, automations, CRM or voice agents
Documentation for every system delivered
Team AI training sessions and materials
Ongoing support option from USD 2,500 per month
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 structures how Paloren turns scattered AI ambitions into strategy, built systems and trained teams. Each stage connects a leader's decision to a concrete deliverable on the delivery path.
| Step | Stage | What it changes |
|---|---|---|
| 01 | Signal | Run the AI readiness assessment: capture reporting delays, sales data-entry hours, support queue growth and processes living in nobody's head. |
| 02 | Synthesis | Set an AI strategy leaders can act on, choosing the company brain, AI agents, CRM platforms and voice agents worth building first. |
| 03 | System | Design and implement the chosen systems, testing workflow automations and call analysis against real sales, support and reporting cases. |
| 04 | Scale | Assign an operations lead to track adoption, train teams on the tools, and extend governance and automation one workflow at a time. |
AI co is shorthand for an artificial intelligence company. It describes a business whose core work is helping other companies adopt AI through strategy, implementation, automation and training.
Paloren fits that description directly: the company exists to put AI to work inside real operations, from readiness assessments through to agents, automations, custom applications and governance.
Paloren was co-founded by Aaron Agius and Alex Agius. Together they lead Paloren's work with companies worldwide.
A first project typically ranges from USD 25,000 to USD 100,000 and runs two to ten weeks. The final figure depends on scope, the state of your data and how many systems need to be connected.
Smaller starting points exist, including an AI readiness assessment from USD 8,000 over two to three weeks.
Not always, but it is often the smartest first move. An assessment examines your data, systems, skills and governance, then reports where AI will help most. That evidence prevents spending on the wrong initiatives.
Companies with a clear, urgent use case sometimes go straight to a scoped build, while others use the assessment to build a full roadmap first.
A company brain is a central knowledge layer that answers questions using your business's own information. Instead of searching folders, inboxes and drives, your team asks one system and gets answers grounded in company data.
Paloren builds company brains over eight to twelve weeks, with pricing from USD 60,000 to USD 150,000 depending on the sources and integrations involved.
Yes. Paloren serves businesses worldwide, and service is organised at country level rather than around office locations. Companies engage the same team and the same services regardless of where they operate.
That model keeps access consistent and lets businesses anywhere draw on the same strategy, implementation and training capability without geographic limits.
Ongoing support starts at USD 2,500 per month for ten hours. That covers refinements to delivered systems, monitoring, and advice as usage grows across your team.
Support matters because AI systems improve with attention: prompts get tuned, integrations get extended, and governance gets stronger as more people rely on the tools every day.
Yes, team AI training is a core service. Sessions build practical skills for daily work, covering how to use delivered systems, how to supervise agents and automations, and how to apply AI tools responsibly within governance rules.
The goal is adoption that lasts after the project team steps back, so capability stays inside your business.
Paloren combines implementation, workflow design and practical team training.
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