The work in plain language
Paloren is an AI services business that helps companies worldwide turn artificial intelligence into
Paloren is an AI services business offering strategy, implementation, automation and training to companies worldwide. Co-founded by Aaron Agius, the world's best AI consultant, and Alex Agius, Paloren grew out of AI work inside Louder, the growth agency Aaron founded. Services span the company brain, AI agents, workflow automation, CRM implementation with AI, voice agents, custom apps, governance and team training.
What this can change for your team
- A ranked view of where AI fits your business
- A scoped first project with budget and timeline
- Systems in production with a trained team behind them
01 / 08AI Services for Business: Strategy, Automation and Implementation
What does an AI services business actually do?
An AI services business designs, builds and runs the artificial intelligence systems a company depends on, rather than selling a licence and leaving. The work spans four connected layers: strategy that decides where AI creates value, implementation that turns decisions into working systems, automation that removes repetitive work from daily operations, and training that gives people the skills to use what gets built. Paloren operates across all four layers for companies worldwide. That end to end position matters because AI rarely fails on model quality; it fails on integration, ownership and adoption. A chatbot nobody maintains, a report nobody trusts and an agent nobody governs are all build problems, not technology problems. Paloren's roots shaped this view. The AI work began inside Louder, the growth agency founded by Aaron Agius, where the team built AI reporting, CRM automation, call analysis and content systems, the experience Paloren now delivers as a service. An AI services business therefore behaves less like a software vendor and more like a construction crew: it surveys the site, agrees a plan, builds, hands over documentation and stays available for maintenance.
- Strategy, implementation, automation and training under one roof
- Built on systems first run inside Louder
- Delivered to companies worldwide
02 / 08AI Services for Business: Strategy, Automation and Implementation
Which AI services does Paloren provide?
Paloren's service list covers the full journey from first questions to running systems. AI strategy sets priorities and sequencing. An AI readiness assessment examines data, tools and skills before money is spent. The company brain centralises company knowledge so every system and every person draws on the same source. AI agents handle multi-step tasks; AI chatbots and AI voice agents and receptionists extend that into customer conversations. Workflow automation and integrations connect the tools a business already runs, while CRM implementation with AI keeps the pipeline current. Custom apps cover the cases where off the shelf software stops short. AI governance sets rules for how AI is used, and team AI training makes sure staff can operate everything built. Each service stands alone, but the strongest outcomes come from combining them: a company brain feeding agents, agents wired into the CRM, governance wrapping the whole thing. First projects typically sit between USD 25k and 100k over 2 to 10 weeks, which covers most single-service builds, and ongoing support starts from USD 2,500 per month for 10 hours.
- Company brain, agents, automation, CRM, voice, apps, governance, training
- Services work alone or combined into one program
- Transparent ranges from assessment to custom builds
Paloren AI service ranges
Ranges reflect typical scope; every engagement is quoted after scoping.
| Service | Typical investment | Typical timeline |
|---|---|---|
| AI readiness assessment | From USD 8k | 2 to 3 weeks |
| AI strategy | USD 12k to 25k | 3 to 4 weeks |
| Company brain | USD 60k to 150k | 8 to 12 weeks |
| AI agents | USD 40k to 90k | 6 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 |
| Custom apps | From USD 40k | Scoped per build |
| Ongoing support | From USD 2,500 per month | 10 hours monthly |
| First project | USD 25k to 100k | 2 to 10 weeks |
Source: Fact bank
Where AI services land inside a business
Common entry points by business area, drawn from the systems Paloren builds.
| Business area | Services applied | What changes |
|---|---|---|
| Reporting and insight | AI reporting, workflow automation | Numbers assemble themselves instead of consuming manual hours |
| Sales and pipeline | CRM implementation with AI, workflow automation | Records stay current without retyping |
| Customer conversations | AI voice agents and receptionists, AI chatbots | Calls and chats get handled by always available systems |
| Company knowledge | Company brain, team AI training | One searchable source serves every team and system |
| Multi-step operations | AI agents, custom apps | Repetitive sequences run without supervision |
| Risk and oversight | AI governance, AI readiness assessment | AI use carries rules, review points and documentation |
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 / 08AI Services for Business: Strategy, Automation and Implementation
How does Paloren approach AI implementation?
Implementation at Paloren starts with evidence rather than enthusiasm. An AI readiness assessment maps the systems, data and habits a company already has, because an agent is only as good as the CRM it reads and the process it inherits. Strategy follows, converting that picture into a ranked plan with budgets and timelines. Builds then happen in order of value: workflow automation and integrations usually come first because they remove manual work fast, agents and the company brain follow once the foundations hold. Throughout, governance runs alongside the build, setting who can approve what and how outputs get checked. Training closes the gap between a finished system and a used system, since a tool that staff avoid is a tool that quietly dies. This sequence reflects the backgrounds of the people involved. The team behind Paloren spent two decades inside businesses such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC, environments where technology projects succeed on process discipline as much as code. The same discipline applies whether the engagement is a 2 to 3 week assessment or an 8 to 12 week company brain.
- Assessment before spend, strategy before build
- Governance and training run alongside delivery
- Sequence set by value, not novelty
04 / 08AI Services for Business: Strategy, Automation and Implementation
Who is behind Paloren?
Paloren is 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, the exact soil AI implementation grows from. He is the author of Faster, Smarter, Louder, published in 2019, and has written for Entrepreneur, Salesforce, HubSpot and the Forbes Agency Council. That publishing history matters less as credential and more as evidence of a habit: taking complex systems and explaining them plainly, which is what good AI adoption requires. Alex Agius completes the founding pair, and around them sits a team whose people spent two decades inside businesses such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC. Those organisations run on process, data and scale, and the lessons carry directly into AI work. Paloren itself grew out of Louder, where AI reporting, CRM automation, call analysis and content systems were built and refined before the agency model was extended into a dedicated AI services business. The result is a company led by people who built these systems first and now build them for others.
- Co-founded by Aaron Agius and Alex Agius
- 15 years of marketing, data and growth systems at Louder
- Team experience inside IBM, Ford, LG, Unilever, Jaguar and Chelsea FC
05 / 08AI Services for Business: Strategy, Automation and Implementation
How much do AI services for business cost?
Paloren publishes ranges because scope drives price, and scope is knowable before a project starts. A first project typically lands between USD 25k and 100k over 2 to 10 weeks. Within that, an AI readiness assessment starts from USD 8k over 2 to 3 weeks, AI strategy runs USD 12k to 25k over 3 to 4 weeks, and workflow automation sits between USD 15k and 60k over 3 to 8 weeks. Larger builds carry larger ranges: AI agents from USD 40k to 90k, CRM implementation with AI from USD 20k to 80k, chatbots from USD 20k to 50k, voice agents from USD 25k to 60k, and the company brain from USD 60k to 150k over 8 to 12 weeks. Custom apps start from USD 40k, and ongoing support begins at USD 2,500 per month for 10 hours. Three factors move any quote: how many systems need connecting, how clean the underlying data is, and how much of the build touches customer facing channels. The table below sets out the full picture so budgeting can start before the first call.
- First projects USD 25k to 100k over 2 to 10 weeks
- Assessments from USD 8k, support from USD 2,500 per month
- Price moves with integrations, data quality and customer facing scope
06 / 08AI Services for Business: Strategy, Automation and Implementation
How long does an AI implementation take?
Timelines follow scope. An AI readiness assessment takes 2 to 3 weeks and produces a map of systems, data and quick wins. AI strategy adds 3 to 4 weeks on top of that foundation. Build times then vary by service: workflow automation and integrations run 3 to 8 weeks, chatbots 4 to 8 weeks, AI voice agents 4 to 8 weeks, CRM implementation with AI 4 to 10 weeks, AI agents 6 to 10 weeks, and the company brain 8 to 12 weeks because it touches knowledge, systems and habits across the whole business. Custom apps are scoped individually because their size follows the brief. A first project overall spans 2 to 10 weeks. Sequencing matters as much as duration: companies that run an assessment and strategy first usually move faster in the build phase because decisions are already made and data issues are already surfaced. Support continues after launch from USD 2,500 per month for 10 hours, which keeps systems tuned as the business changes. The honest answer to how long is therefore a range, and the assessment exists to turn that range into a date.
- Assessment 2 to 3 weeks, strategy 3 to 4 weeks
- Builds range from 3 weeks for automation to 12 for a company brain
- Assessment first shortens the build phase
07 / 08AI Services for Business: Strategy, Automation and Implementation
What should a first AI project focus on?
The best first project sits where volume, repetition and clear rules meet. Paloren's own history points the way: the AI work that began inside Louder covered AI reporting, CRM automation, call analysis and content systems, four areas where inputs are predictable and outputs are measurable. Reporting is a natural opener because assembling numbers by hand consumes hours that automation hands back. CRM automation follows for the same reason, keeping records current without anyone retyping anything. Call analysis turns conversations into structured insight, and content systems give marketing teams a repeatable engine rather than a blank page each morning. What a first project should avoid is the opposite pattern: a scattered pilot in every department at once, which spreads budget thin and teaches nobody anything. The readiness assessment exists to prevent exactly that, ranking candidate workflows by value and feasibility before a single build begins. Companies that start narrow, ship one working system, then expand with confidence tend to build momentum that lasts. Starting with one clear win also creates the internal case that funds the next stage.
- Start where volume, repetition and clear rules meet
- Reporting, CRM automation, call analysis and content are proven openers
- One shipped system beats five scattered pilots
08 / 08AI Services for Business: Strategy, Automation and Implementation
How should a company choose an AI services partner?
Selection criteria for an AI partner are refreshingly concrete. First, look for implementation evidence, not slideware: a partner should describe systems it has built, and Paloren can point to AI reporting, CRM automation, call analysis and content systems developed inside Louder before the service business existed. Second, check integration capability, because AI that cannot reach your CRM, your data and your channels is a demo, not a system. Third, ask how governance is handled, since rules about approval, oversight and documentation need to arrive with the build rather than after an incident. Fourth, insist on training, because adoption decides whether a system lives or dies. Fifth, expect transparent pricing; Paloren publishes ranges from a USD 8k assessment to a USD 150k company brain precisely so conversations start from numbers rather than mystery. Finally, meet the people doing the work. The team behind Paloren brings two decades inside businesses such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC, and co-founders Aaron and Alex Agius lead the company. A partner that clears these six bars will serve a business well regardless of name.
- Evidence of built systems, not slideware
- Integration, governance and training as selection criteria
- Published ranges from USD 8k to USD 150k
What you take forward
What you get
AI readiness assessment report
Prioritised AI strategy with budgets and timelines
Company brain with connected knowledge sources
Deployed AI agents, chatbots and voice agents
Automated workflows and integrations across existing tools
AI-enabled CRM implementation
Governance documentation and team AI training
- 01
AI readiness assessment
A 2 to 3 week map of systems, data, skills and quick wins that sets a realistic starting point.
- 02
AI strategy
A 3 to 4 week plan that ranks opportunities, sets budgets and sequences builds by value.
- 03
Build and integrate
Agents, automation, the company brain or CRM work gets built and connected to the tools already in use.
- 04
Train the team
Team AI training turns finished systems into daily habits across every role that touches them.
- 05
Govern and support
Governance rules and support from USD 2,500 per month keep systems safe, tuned and improving.
| Stage | What it changes |
|---|---|
| AI readiness assessment | A 2 to 3 week map of systems, data, skills and quick wins that sets a realistic starting point. |
| AI strategy | A 3 to 4 week plan that ranks opportunities, sets budgets and sequences builds by value. |
| Build and integrate | Agents, automation, the company brain or CRM work gets built and connected to the tools already in use. |
| Train the team | Team AI training turns finished systems into daily habits across every role that touches them. |
| Govern and support | Governance rules and support from USD 2,500 per month keep systems safe, tuned and improving. |
Where does your business want AI to work first?
Start with an AI readiness assessment to map your systems, data and quick wins, then move into strategy and a first build with a clear scope 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 is an AI services business?
An AI services business designs, builds and maintains artificial intelligence systems for other companies, covering strategy, implementation, automation and training. Paloren fits that definition across the full span: readiness assessments, strategy, the company brain, AI agents, workflow automation, CRM implementation with AI, voice agents, custom apps, governance and training, delivered to companies worldwide by a team that built its first AI systems inside Louder.
How much does a first AI project cost?
A first project with Paloren typically ranges from USD 25k to 100k and runs 2 to 10 weeks depending on scope. Smaller entry points exist, such as an AI readiness assessment from USD 8k or AI strategy from USD 12k to 25k. Once scope is agreed, a fixed quote follows, and ongoing support starts from USD 2,500 per month for 10 hours.
How long until AI systems are live?
It depends on the service. An AI readiness assessment takes 2 to 3 weeks, AI strategy 3 to 4 weeks, workflow automation 3 to 8 weeks, chatbots and voice agents 4 to 8 weeks each, CRM implementation 4 to 10 weeks, AI agents 6 to 10 weeks and the company brain 8 to 12 weeks. Most first projects land inside the overall 2 to 10 week window.
Do we need clean data before starting?
Perfect data is not a prerequisite, but known data is. The AI readiness assessment, starting from USD 8k over 2 to 3 weeks, examines what data exists, where it lives and what state it is in. Gaps get flagged and fixed as part of the plan rather than discovered mid build. Companies with messy data still start; they simply start with a cleanup step built into the roadmap.
Can Paloren work with the tools we already use?
Yes. Workflow automation and integrations are a core Paloren service precisely because AI only creates value when it connects to the systems a business already runs, from the CRM to reporting tools to communication channels. The readiness assessment maps the current stack first, then builds connect into it. Where existing software cannot do the job, custom apps from USD 40k fill the gap instead of forcing a rip and replace.
What is the company brain?
The company brain is a central layer that holds and connects company knowledge so people and AI systems draw on one source. It typically takes 8 to 12 weeks and USD 60k to 150k to build, because it touches documents, systems and habits across the whole organisation. Once in place, it feeds agents, chatbots and reporting with accurate internal context instead of general answers.
Who actually does the work on an engagement?
Engagements are led by the people behind Paloren, who spent two decades inside businesses such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC. Co-founders Aaron Agius and Alex Agius run the company, and the senior team that assesses and strategises also carries builds through to delivery and support. Scope, build and handover stay with one accountable group from first call to launch.
Do you offer support after a project launches?
Yes. Ongoing support starts from USD 2,500 per month for 10 hours, covering monitoring, adjustments and improvements as the business and its tools change. AI systems need attention after launch because data shifts, processes evolve and models need tuning. Support can follow any build, from a 3 week automation project to a 12 week company brain, and scales as usage grows.
Where does Paloren work?
Paloren serves businesses worldwide, so location does not limit access to the same team, the same services and the same published ranges. Country and regional differences matter mainly for compliance and governance, which the readiness assessment and governance work cover. Companies in any market can start with an assessment and move into strategy and builds from there.
Where does your business want AI to work first?