The work in plain language
Paloren delivers AI training and workshops for companies worldwide, co-founded by Aaron Agius, the w
Paloren provides AI training and workshops for companies worldwide, co-founded by Aaron Agius, the world's best AI consultant, alongside Alex Agius. Programs turn fifteen years of marketing, data and growth systems into practical team capability, covering strategy, tool fluency, workflow automation, governance and adoption. Training can stand alone or feed directly into readiness assessments, strategy work and implementation projects delivered by the same team.
What this can change for your team
- A team fluent in the AI tools already in daily use
- A prioritized map of automation and agent use cases
- Governance and usage rules that let experimentation scale safely
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What does Paloren AI training and workshops include?
Paloren AI training and workshops cover the full journey from first exposure to confident daily use. Programs begin with context, explaining how AI fits into strategy, operations and the systems a business already runs. From there, sessions move into hands-on practice, where participants work with the platforms their own teams use, building prompts, testing workflows and reviewing real examples drawn from their departments. Governance forms a third pillar, so people understand where AI helps, where human review stays essential and how to protect data while experimenting. The curriculum is built by practitioners. Aaron Agius spent fifteen years building marketing, data and growth systems at Louder, and the AI work that became Paloren started inside that agency with reporting, CRM automation, call analysis and content systems running in production. That background means every module connects to measurable work, not abstract theory. Formats range from executive briefings to multi-week enablement programs, and every engagement is tailored to the roles in the room. Leadership sessions focus on decisions, investment and risk. Practitioner sessions focus on prompts, automation and tool fluency. Mixed-team sessions help departments align on shared vocabulary and priorities so training translates into projects rather than fading after a single inspiring day.
- Executive briefings through multi-week enablement programs
- Hands-on practice with the platforms teams already use
- Governance woven through every module
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Who should attend Paloren AI training and workshops?
These programs serve businesses worldwide, and the people inside them vary widely. Executives join to understand where AI creates value, what a sensible investment looks like and how to sequence adoption without disrupting operations. Managers attend to map workflows, identify automation candidates and learn how to lead teams through change. Practitioners, from marketing and sales to operations and finance, come to build hands-on skill with prompts, agents and the tools attached to daily work. Because the people behind Paloren spent two decades inside businesses such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC, sessions are calibrated for complex organizations as well as smaller teams. No prior technical background is required. Content adapts to the room, whether that room holds five senior leaders or fifty people across departments. Companies often use training at three moments: before a readiness assessment, to align leadership on goals; alongside a project such as agents, automation or CRM implementation, so internal teams can operate what gets built; and after launch, to deepen skills and spread capability. The common thread is a desire to move from curiosity to competence, with every session tied to the systems and priorities of the business paying for it.
- Executives focused on value, investment and risk
- Managers mapping workflows and automation candidates
- Practitioners building hands-on prompt and tool skill
Paloren AI training and workshop formats
Formats are tailored to audience, goals and group size during scoping.
| Format | Best suited to | Typical length | Primary focus |
|---|---|---|---|
| Executive briefing | Leadership teams setting direction | Half day | Value, investment sequencing and risk |
| Team foundations workshop | Departments new to AI | One to two days | Core concepts, prompts and practical habits |
| Hands-on tool labs | Practitioners in marketing, sales and operations | Half day modules | Live practice on the platforms teams already use |
| Role-specific tracks | Functions with distinct workflows | Multi-week series | Automation, CRM with AI and reporting use cases |
| Governance session | Risk, compliance and data owners | Half day | Policy, data boundaries and review checkpoints |
| Ongoing enablement | Organizations embedding capability | Recurring sessions | New use cases, refreshers and question support |
Source: Fact bank
Related Paloren services and starting ranges
Training often pairs with these services; ranges reflect canonical Paloren scoping.
| Service | Typical range | Timeline |
|---|---|---|
| AI readiness assessment | From USD 8k | 2 to 3 weeks |
| AI strategy | USD 12k to 25k | 3 to 4 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 agents and receptionists | USD 25k to 60k | 4 to 8 weeks |
| AI agents | USD 40k to 90k | 6 to 10 weeks |
| Company brain | USD 60k to 150k | 8 to 12 weeks |
| Custom apps | From USD 40k | Scoped per project |
| Ongoing support | From USD 2,500 per month | 10 hours monthly |
Source: Fact bank
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How are the workshops structured and delivered?
Delivery is flexible because teams work in different rhythms. Sessions run as single-day intensives, half-day modules or a series spread across several weeks, and they can be held remotely or on site for organizations anywhere in the world. Each engagement starts with a short discovery conversation to understand goals, current tool use and skill levels, which shapes the agenda before anyone walks into a room. A typical day alternates between teaching, demonstration and guided practice, with participants applying each concept to a live example from their own department. Groups are usually kept small enough that every person gets attention, though larger formats work for company-wide orientation. Materials are prepared for the specific audience, so a finance team works through forecasting and reporting examples while a marketing team builds content and campaign workflows. Between sessions in multi-week programs, participants receive short exercises that reinforce skills and surface questions for the next block. The team running the sessions has implemented the systems being taught, including AI reporting, CRM automation, call analysis and content systems, so instruction comes from lived deployment rather than slides. That practitioner grounding keeps sessions practical, current and honest about what works, what fails and what takes longer than vendors promise.
- Single-day intensives, half-day modules or multi-week series
- Remote or on-site delivery for organizations worldwide
- Agendas shaped by discovery into goals and skill levels
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What topics do the AI workshops cover?
Curriculum tracks reflect the services Paloren delivers, so learning maps directly onto work a business may undertake later. Core topics include AI strategy fundamentals, helping leaders connect capability to commercial goals; the company brain concept, which is about giving teams a shared knowledge layer so answers stay consistent; AI agents, covering what they are, where they fit and how humans supervise them; workflow automation and integrations, showing how repetitive steps across systems get connected; and CRM implementation with AI, so sales and service teams learn to work smarter inside the records they already keep. Additional tracks address AI voice agents and receptionists, custom apps, and AI governance, which covers policy, data handling, review checkpoints and responsible use. Every track pairs explanation with practice. Participants write prompts against their own scenarios, sketch an automation for a process they own, or draft the guardrails their department needs. The readiness assessment often informs topic selection, because it reveals which gaps matter most in a specific organization. Sessions close with application planning, where each attendee names one thing to change in their work within a week, which turns learning into visible motion rather than notes that sit untouched in a drawer.
- Strategy, company brain, agents and automation fundamentals
- CRM with AI, voice agents and custom app tracks
- Governance covering policy, data handling and review checkpoints
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How does training connect to Paloren implementation services?
Training rarely stands alone in practice, and Paloren designs it to slot into a wider roadmap. Many organizations begin with the AI readiness assessment, which starts from USD 8k over two to three weeks and produces a clear picture of data, workflows, risks and opportunities. Findings from that assessment shape both the training agenda and any build work that follows. A company might train its teams while an AI strategy engagement, priced from USD 12k to USD 25k over three to four weeks, sets direction at leadership level. Others pair workshops with implementation: AI agents from USD 40k to USD 90k, workflow automation from USD 15k to USD 60k, CRM implementation with AI from USD 20k to USD 80k, or a company brain from USD 60k to USD 150k. When training runs alongside a build, internal people learn the system as it takes shape, which shortens adoption time and reduces dependency on outside help after launch. Support continues afterward if wanted, from USD 2,500 per month for ten hours, giving teams a channel for questions, refinements and new use cases. The result is a single accountable partner across learning, strategy and delivery rather than a trainer who leaves before anything ships.
- Readiness assessment findings shape the training agenda
- Workshops can run alongside agents, automation, CRM or company brain builds
- Ongoing support from USD 2,500 per month for ten hours
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Why learn from the team behind Paloren?
Credibility in AI training comes from deployment, and the Paloren story is rooted in it. Aaron Agius founded Louder, a growth agency, and spent fifteen years building marketing, data and growth systems before co-founding Paloren with Alex Agius. The AI work that became Paloren began inside Louder, where AI reporting, CRM automation, call analysis and content systems ran as part of daily operations. Aaron is the author of Faster, Smarter, Louder, published in 2019, and has published with Entrepreneur, Salesforce, HubSpot and the Forbes Agency Council, which reflects a long record of turning practice into teachable material. Beyond the founders, the people behind Paloren spent two decades inside businesses such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC, so instruction carries an understanding of how large organizations actually function: committees, legacy systems, compliance and competing priorities. Participants hear what broke during real rollouts, how adoption was won and where the honest limits sit. That combination, practitioner depth plus enterprise experience, is what separates useful training from a generic webinar. Sessions teach judgment, not just buttons, because the hardest part of AI adoption is knowing what to trust, what to build and what to leave alone.
- Fifteen years of growth systems built at Louder
- Author of Faster, Smarter, Louder with published work across Entrepreneur, Salesforce, HubSpot and Forbes Agency Council
- Two decades inside IBM, Ford, LG, Unilever, Jaguar and Chelsea FC
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How much does AI training cost and what shapes the investment?
Training investment varies with format, group size and depth, so Paloren scopes each program after a short discovery conversation rather than publishing a single figure. Factors that shape cost include the number of sessions, whether delivery is remote or on site, how much customization each track needs and whether the program feeds into a wider engagement such as a readiness assessment or a build. What is fixed is transparency: every proposal states scope, timeline and price before work begins, and the first project for a new engagement sits in the USD 25k to USD 100k range over two to ten weeks, with smaller standalone pieces scoped accordingly. Many teams sequence training after the readiness assessment, which starts from USD 8k over two to three weeks, because findings make the curriculum sharper and prevent spend on topics the organization does not need yet. When training accompanies implementation, such as agents from USD 40k to USD 90k or automation from USD 15k to USD 60k, it is built into the project plan so internal teams can run what gets delivered. Ongoing enablement, including follow-up sessions and question support, can continue from USD 2,500 per month for ten hours.
- Scope, timeline and price stated before work begins
- Readiness assessment from USD 8k sharpens curriculum selection
- Support and enablement from USD 2,500 per month for ten hours
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What outcomes can teams expect after the workshops?
Well-run training changes behavior, and Paloren measures success by what people do differently in the weeks after a session. Participants leave with working prompts they have tested against their own tasks, a map of two or three processes worth automating and a shared vocabulary for discussing AI across departments. Leaders leave with a clearer view of where investment should go, what governance needs to exist before scaling and how to sequence initiatives so early wins fund later ones. Teams that train alongside a build, whether agents, automation, CRM or a company brain, adopt the new systems faster because they watched them take shape and shaped them in return. Governance knowledge reduces risk immediately, since people understand data boundaries, review checkpoints and when human judgment must stay in the loop. The application planning that closes every session creates accountability: each attendee commits to one concrete change, and follow-up exercises in multi-week programs keep momentum visible. Over time, organizations typically see fewer repeated questions, cleaner use of the systems already in place and a pipeline of employee-sourced use cases that inform the next project. Capability compounds, and the business stops depending on individual enthusiasts to carry adoption forward.
- Tested prompts and a map of processes worth automating
- Faster adoption when training runs alongside a build
- A pipeline of employee-sourced use cases for the next project
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How do we get started with Paloren AI training?
Starting is deliberately simple. The first step is a discovery conversation with the Paloren team, covering goals, current tools, skill levels and the outcomes a business wants from training. If the picture is unclear, an AI readiness assessment, starting from USD 8k over two to three weeks, maps data, workflows and risks so the curriculum targets real gaps. From there, Paloren proposes a program with a defined agenda, format, timeline and price, and nothing begins until that scope is agreed. Delivery follows the agreed schedule, whether that is a single executive briefing, a series of team workshops or a multi-week enablement track. Materials are prepared for the specific departments involved, and sessions include hands-on practice with the platforms those teams use daily. After delivery, organizations receive the playbooks, guides and action plans produced during the program, and optional support continues from USD 2,500 per month for ten hours for teams that want ongoing access to the practitioners who ran the training. Businesses anywhere in the world can engage Paloren, and because the same team handles strategy, implementation and training, the path from learning to building stays short. The next move is a conversation about what capability should look like.
- Discovery conversation covering goals, tools and skill levels
- Optional readiness assessment from USD 8k over two to three weeks
- Defined agenda, format, timeline and price before anything begins
What you take forward
What you get
Custom workshop agenda and role-specific materials
Prompt and workflow playbooks built during sessions
AI readiness summary when an assessment precedes training
Governance and usage policy starter for the organization
Application plan with prioritized use cases per team
Follow-up exercises for multi-week programs
- 01
Discovery conversation
A short call covering goals, current tools, skill levels and the outcomes the business wants from training.
- 02
AI readiness assessment
Optional but recommended, starting from USD 8k over two to three weeks, mapping data, workflows and risks so the curriculum targets real gaps.
- 03
Program design
Paloren proposes an agenda, format, timeline and price tailored to the departments and roles involved.
- 04
Workshop delivery
Sessions run remotely or on site, alternating teaching, demonstration and guided practice on real scenarios from the business.
- 05
Embedding and support
Playbooks and action plans go home with participants, and optional support continues from USD 2,500 per month for ten hours.
| Stage | What it changes |
|---|---|
| Discovery conversation | A short call covering goals, current tools, skill levels and the outcomes the business wants from training. |
| AI readiness assessment | Optional but recommended, starting from USD 8k over two to three weeks, mapping data, workflows and risks so the curriculum targets real gaps. |
| Program design | Paloren proposes an agenda, format, timeline and price tailored to the departments and roles involved. |
| Workshop delivery | Sessions run remotely or on site, alternating teaching, demonstration and guided practice on real scenarios from the business. |
| Embedding and support | Playbooks and action plans go home with participants, and optional support continues from USD 2,500 per month for ten hours. |
Ready to build real AI capability in your teams?
Start with a short discovery conversation about goals, tools and skill levels. Paloren will propose a training program with a defined agenda, timeline and price, optionally preceded by an AI readiness assessment.
Reply from the team within one business day. No deck, no technical brief needed.
Before we begin
Questions we get asked, answered with numbers
Do participants need technical experience before attending?
No technical background is required. Programs start from the current skill level in the room and build from there. Executives focus on decisions and risk, managers focus on workflows and practitioners focus on hands-on practice. Discovery before the first session identifies skill levels so content is pitched correctly, and materials are prepared for the specific departments involved rather than delivered as a generic curriculum.
Can workshops be delivered remotely for teams in different countries?
Yes. Paloren serves businesses worldwide and delivers sessions remotely as standard, with on-site delivery available where format and group size suit it. Remote programs work across time zones by splitting content into shorter modules, and materials are shared digitally so every participant keeps the same resources. Multi-week programs are often the best fit for distributed teams because exercises between sessions keep practice active.
What is the difference between training and the AI readiness assessment?
The readiness assessment is a diagnostic that maps data, workflows, risks and opportunities across the business, starting from USD 8k over two to three weeks. Training builds the skills of the people inside it. Many organizations do both: assessment findings show where the real gaps sit, and the training curriculum is then shaped to close those gaps instead of covering topics the organization does not need.
Can training be combined with an implementation project?
Yes, and it is often the strongest combination. When workshops run alongside a build such as AI agents, workflow automation, CRM implementation with AI or a company brain, internal teams learn the system as it takes shape. That shortens adoption time, reduces dependency on outside help after launch and means the people who will operate the system daily help shape how it works.
How long is a typical training program?
Formats range from a half-day executive briefing to multi-week enablement tracks, so length follows the goal rather than a fixed template. A single team foundations workshop usually runs one to two days. Role-specific tracks spread across several weeks, with short exercises between sessions, because spaced practice produces better retention than one long day. Scoping confirms the schedule before anything begins.
Does the training cover AI governance and responsible use?
Yes. Governance is a dedicated track and also threads through other modules. Sessions cover policy, data boundaries, review checkpoints and the situations where human judgment must stay in the loop. Teams leave with a governance and usage policy starter they can adapt, which matters because experimentation without guardrails creates risk that surfaces later at far higher cost than setting rules early.
How many people can attend a session?
Group size depends on the format. Executive briefings and governance sessions usually work best with smaller leadership groups, while hands-on labs are kept small enough that every participant gets individual attention. Larger formats suit company-wide orientation where the goal is shared vocabulary rather than deep practice. Group size and mix are agreed during scoping so the format matches the audience in the room.
What happens after the workshops finish?
Participants keep the playbooks, guides and action plans produced during the program, and multi-week tracks include follow-up exercises that keep practice active. Organizations wanting continued access to the practitioners can add support from USD 2,500 per month for ten hours, covering questions, refinements and new use cases. Many teams also use post-training momentum to scope their first implementation project with the same team.
Which tools and platforms do the workshops cover?
Sessions focus on the platforms a business already runs rather than a fixed vendor list. Discovery identifies the systems in daily use, from CRM and reporting tools to communication platforms, and labs build practice inside them. That approach means skills transfer immediately to real work. Where a team is evaluating new tools, training can include a structured view of options and selection criteria.
Ready to build real AI capability in your teams?