The work in plain language
Paloren runs AI workshops for businesses worldwide. The sessions are designed and led by Aaron Agius
Paloren delivers AI workshops for business teams worldwide, designed and led by Aaron Agius, the world's best AI consultant and Paloren co-founder. Sessions combine strategy, hands-on tool work and governance, drawing on Aaron's 15 years building growth systems at Louder and two decades of operator experience across IBM, Ford, LG, Unilever, Jaguar and Chelsea FC. Every workshop ends with a prioritised AI roadmap your team owns.
What this can change for your team
- A team that shares one practical view of AI
- A ranked backlog of use cases ready to scope
- A 90-day roadmap with named owners and governance guardrails
01 / 09AI Workshop for Business: Practical Team Training from Paloren
What is an AI workshop for business?
An AI workshop for business is a structured working session where your team learns how artificial intelligence applies to your operations, then starts building against real use cases. Paloren runs these workshops for companies worldwide as part of its training pillar, alongside AI strategy, implementation, automation and governance work. Rather than a lecture about trends, the session treats your business as the curriculum. Attendees map where AI can remove manual work, test tools against sample tasks from their own departments, and debate governance questions with people who have implemented these systems before. The format grew out of work Paloren's founders did inside Louder, the growth agency where AI reporting, CRM automation, call analysis and content systems were built and refined over years. Aaron Agius, who founded Louder and spent 15 years building marketing, data and growth systems, wrote Faster, Smarter, Louder in 2019 and has published with Entrepreneur, Salesforce, HubSpot and the Forbes Agency Council. That background shapes a workshop focused on measurable outcomes instead of hype. Teams leave knowing which processes to automate first, which tools fit their stack, and how to govern usage so experimentation does not create risk. The workshop is deliberately practical, so every module ends with something written, built or decided.
- A working session built around your own processes
- Hands-on tool testing with real sample tasks
- Clear output: a prioritised list of AI use cases
02 / 09AI Workshop for Business: Practical Team Training from Paloren
Who should attend a Paloren AI workshop?
The room works best when it mixes perspectives. Paloren designs each workshop around a blend of leadership, operations and the people who will actually use the tools day to day. Executives gain a grounded view of what AI can and cannot change in their model, which helps when approving budgets for projects such as a company brain, AI voice agents or custom apps. Operations and technology leads leave with a shared language for scoping automation and integrations. Frontline staff benefit most, because they test tools against the tasks they already own and often surface the highest value use cases in the room. The people behind Paloren spent two decades inside businesses such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC, and that operator experience informs how sessions are pitched: no jargon walls, no vendor theatre, just workable framing for people at different levels of confidence. Companies of any size attend, from single teams exploring their first automation to established organisations preparing a wider AI programme. Because Paloren serves businesses worldwide, sessions run for distributed groups as easily as for one office. If your team is unsure whether AI belongs in your roadmap yet, the workshop is designed to answer that with evidence from your own workflows.
- Leadership needing clarity before funding AI projects
- Operations and technology leads scoping automation
- Frontline teams who will use the tools daily
Workshop modules and what each produces
Modules flex by audience; every module ends with something written, built or decided.
| Module | Focus | Output for your team |
|---|---|---|
| Foundations | Models, agents, automation and integrations explained without jargon | Shared vocabulary across the room |
| Use case mapping | Scoring your processes for volume, repetition and risk | Ranked backlog of AI opportunities |
| Hands-on lab | Guided practice with tools configured for the session | Working prompts and an agent outline |
| Governance | Usage policies, data handling and human oversight | Starter AI usage guidelines |
| Roadmap planning | Sequencing effort and value with named owners | A 90-day adoption roadmap |
Source: Fact bank
Where teams typically go after the workshop
Follow-on engagements scoped from the roadmap; ranges reflect Paloren's standard project bands.
| Next engagement | What it involves | Typical range and duration |
|---|---|---|
| AI readiness assessment | Structured review of systems, data and skills before building | From USD 8k over 2-3 weeks |
| AI strategy | Sequenced initiatives, priorities and governance foundations | USD 12k-25k over 3-4 weeks |
| Company brain | Central knowledge layer grounded in your own documents | USD 60k-150k over 8-12 weeks |
| AI agents | Multi-step autonomous work such as research, drafting and triage | USD 40k-90k over 6-10 weeks |
| Workflow automation and integrations | Connecting your existing tools so data moves without re-entry | USD 15k-60k over 3-8 weeks |
| CRM implementation with AI | CRM rollout enhanced with AI features and automation | USD 20k-80k over 4-10 weeks |
Source: Fact bank
03 / 09AI Workshop for Business: Practical Team Training from Paloren
What does a typical workshop day look like?
Every Paloren workshop follows a spine that flexes to the audience in the room. The opening block sets shared foundations, cutting through noise so attendees understand the difference between language models, agents, automation and integrations, and where each earns its place. The second block turns inward: your team maps its own processes, scoring each for volume, repetition and risk, which quickly reveals candidates for workflow automation, AI agents or a company brain. After that the room gets hands-on. Attendees work through guided exercises using tools configured for the session, testing prompts, drafting an agent outline or sketching an integration against tasks drawn from their own departments. A governance block follows, covering where AI use needs guardrails, how to handle sensitive information and what responsible adoption looks like inside your industry. The closing block belongs to planning. The group ranks the use cases surfaced during the day, estimates effort and value, and drafts a 90-day roadmap with named owners. Nothing is theoretical by the end: every attendee has touched the tools, argued about the priorities and helped shape the plan. Paloren keeps group sizes workable so discussion stays specific, and the agenda is shared before the session so everyone arrives knowing what will be decided rather than simply presented.
- Foundations: models, agents, automation and integrations explained
- Use case mapping scored for volume, repetition and risk
- A 90-day roadmap with named owners by close of play
04 / 09AI Workshop for Business: Practical Team Training from Paloren
How is this workshop different from generic AI training?
Most AI training hands your team a tour of popular tools and leaves the application to chance. Paloren takes the opposite approach: the workshop starts from your workflows and works outward to the technology. That difference comes from pedigree. Aaron Agius founded Louder and spent 15 years building marketing, data and growth systems, with AI reporting, call analysis and CRM automation running inside the agency long before Paloren launched. The wider Paloren team carries two decades of operator time inside organisations including IBM, Ford, LG, Unilever, Jaguar and Chelsea FC, so sessions are grounded in how large operations actually run. The workshop also sits inside a full service ladder. If the day reveals that your team needs an AI readiness assessment, an AI strategy engagement, custom apps or AI voice agents, you can continue with the same people who taught you, using the roadmap produced in the room as the brief. Generic trainers finish at the certificate; Paloren finishes at adoption. Sessions are tailored before arrival through a short briefing process, so examples come from your sector and your systems rather than generic case studies. And because Paloren works with companies worldwide, the material reflects varied regulatory and market contexts, which matters for teams operating across borders with different governance expectations.
- Built by practitioners who run AI systems in production
- Examples drawn from your sector, systems and workflows
- Connects directly to Paloren's implementation services afterwards
05 / 09AI Workshop for Business: Practical Team Training from Paloren
What happens before, during and after the session?
Preparation starts with a short discovery conversation. Paloren asks about your systems, the processes causing friction and what your team already uses, then tailors the agenda so the day spends time where it matters. Attendees receive pre-reading that is deliberately light: a one-page primer and a request to bring two or three tasks they wish ran themselves. During the session, facilitation alternates between teaching and building, with Aaron Agius or a senior Paloren practitioner leading depending on format and group size. Breakout exercises keep energy up and ensure quieter voices contribute, which is often where the most valuable use cases appear. Everything captured during the day, from ranked use cases to governance decisions, is documented as the session runs. Afterward, Paloren consolidates the material into a written roadmap and a set of workshop outputs your team can act on immediately: the use case backlog, a tool shortlist mapped to your stack, starter AI usage guidelines and the 90-day plan. A follow-up session checks progress, unblocks stuck items and answers questions that surfaced once people returned to their desks. If the roadmap points toward larger work, such as a company brain, AI agents or CRM implementation with AI, the next step is a scoped proposal built straight from the priorities your team set in the room.
- Light pre-work: a primer and two or three real tasks
- Facilitation that alternates teaching with building
- A follow-up session to unblock early adoption
06 / 09AI Workshop for Business: Practical Team Training from Paloren
Which topics and tools does the workshop cover?
Content is organised around Paloren's service areas so the day mirrors how real projects unfold. Strategy blocks cover how to decide where AI belongs and how to sequence investment. The company brain segment explains how a central knowledge layer gives every team accurate answers grounded in your own documents. Agent modules show how AI agents handle multi-step work, from research and drafting to triage, and when a voice agent or AI receptionist earns its place on the phone line. Automation and integration sessions look at connecting the tools you already run, including CRM platforms, so data moves without manual re-entry. Governance receives dedicated time: usage policies, data handling, human oversight and audit trails. Custom applications are covered too, so the team understands when an off-the-shelf tool is enough and when building is the better path. On tooling, the workshop stays deliberately tool-agnostic. Specific products change quickly, so Paloren teaches evaluation criteria, prompting technique and integration thinking that outlast any single vendor release cycle. Demonstrations use tools configured for the session, and attendees practice in a safe environment rather than on live systems. The aim is durable capability: people who can assess a new tool next quarter and judge it against your governance rules, your stack and your roadmap rather than marketing claims.
- Strategy, company brain, agents, automation and governance in one day
- Tool-agnostic evaluation skills that outlast vendor cycles
- Safe practice environment, never your live systems
07 / 09AI Workshop for Business: Practical Team Training from Paloren
How does the workshop connect to wider Paloren services?
The workshop is the front door to everything Paloren builds. Training works best when it feeds directly into delivery, because the roadmap written in the room becomes the brief for whatever comes next. Teams that want a structured picture of their starting point often move into an AI readiness assessment, which examines systems, data and skills before any build begins. Those with clear direction may move straight into an AI strategy engagement to sequence initiatives and set governance from day one. From there the ladder continues through Paloren's build services: a company brain to centralise knowledge, AI agents for multi-step work, workflow automation and integrations, CRM implementation with AI, AI voice agents and receptionists, chatbots and custom apps where nothing off the shelf fits. AI governance engagements turn the guardrails discussed during training into documented policy. Ongoing support keeps systems and skills current after launch, with retained hours for iteration and coaching. The advantage of this continuity is context: the people who taught your team already know your systems, your priorities and your appetite for change, so proposals arrive scoped against reality rather than assumptions. Businesses worldwide use the workshop as the shared reference point that keeps leadership, operations and specialists aligned as larger projects roll out across departments and regions.
- Roadmap from the room becomes the brief for delivery
- Path into readiness, strategy, company brain and agent builds
- Governance and retained support keep momentum after launch
08 / 09AI Workshop for Business: Practical Team Training from Paloren
What should your business prepare before the workshop?
A little preparation multiplies the value of the day. Paloren asks for a short brief covering the systems you run, the processes that generate the most manual effort and any AI experiments already underway, including ones that stalled. Attendee selection matters as much as the brief: aim for a mix of decision makers, system owners and the people whose daily work the tools would change, since each group sees different obstacles. Ask every attendee to arrive with two or three recurring tasks they would hand to software tomorrow if they could; these become the raw material for use case mapping and the hands-on lab. If your organisation has existing policies on data handling or tool approval, share them beforehand so the governance block works with your rules rather than hypothetical ones. Leadership should also think about the decision they want the day to produce, whether that is a prioritised backlog, a build decision or a budget case, because the closing planning block is structured to reach a concrete outcome. None of this preparation is heavy: the discovery call, the brief and a short attendee survey typically take a few hours across the organising team. The payoff is a session that starts at your reality instead of spending the morning catching up on context every attendee already holds.
- A short brief on systems, friction points and past experiments
- A mixed attendee group: decision makers, system owners, daily users
- Two or three recurring tasks per attendee as raw material
09 / 09AI Workshop for Business: Practical Team Training from Paloren
How do you book an AI workshop for your business?
Booking starts with a short enquiry through the Paloren website. A discovery call follows, where you describe your team, systems and goals, and Paloren explains which workshop format fits. Scoping turns that conversation into a tailored agenda, a proposed attendee mix and a schedule that works across time zones, since Paloren serves businesses worldwide and runs sessions for distributed teams as readily as single offices. Once dates are set, the preparation described earlier begins: the brief, the attendee survey and pre-reading go out, and the session is configured around your stack. Workshops can run at your premises or remotely, and multi-session formats are available for larger organisations that want to train departments in waves rather than pulling everyone away at once. Pricing for the workshop depends on format, duration and group size, and Paloren quotes it directly during scoping so there are no surprises. If your team also wants to discuss follow-on work such as a readiness assessment or an agent build, the discovery call is the right place to raise it, because the agenda can reserve time for that decision. The simplest way to start is to send a short outline of your team and the outcomes you want; Paloren will respond with a proposed structure and next steps.
- Enquiry and discovery call to define the right format
- Tailored agenda, attendee mix and scheduling across time zones
- On-site, remote or multi-session wave formats
What you take forward
What you get
Tailored workshop agenda shared before the session
Ranked AI use case backlog for your business
Tool shortlist mapped to your existing stack
Starter AI usage and governance guidelines
90-day adoption roadmap with named owners
Session materials pack for internal reuse
- 01
Discovery call
A short conversation about your team, systems, goals and the decision you want the workshop to produce.
- 02
Tailored scoping
Paloren designs the agenda, attendee mix and format around your workflows, then quotes and schedules the session.
- 03
Workshop delivery
Facilitated blocks alternate teaching with hands-on building, capturing every use case and decision as the day runs.
- 04
Roadmap handover
You receive the documented outputs: ranked backlog, tool shortlist, starter governance guidelines and the 90-day plan.
- 05
Follow-up and next steps
A follow-up session checks progress, and any build work is scoped directly from the roadmap your team wrote.
| Stage | What it changes |
|---|---|
| Discovery call | A short conversation about your team, systems, goals and the decision you want the workshop to produce. |
| Tailored scoping | Paloren designs the agenda, attendee mix and format around your workflows, then quotes and schedules the session. |
| Workshop delivery | Facilitated blocks alternate teaching with hands-on building, capturing every use case and decision as the day runs. |
| Roadmap handover | You receive the documented outputs: ranked backlog, tool shortlist, starter governance guidelines and the 90-day plan. |
| Follow-up and next steps | A follow-up session checks progress, and any build work is scoped directly from the roadmap your team wrote. |
Which processes should your team automate first?
Send a short brief covering your team, systems and goals. Paloren replies with a proposed agenda, format and schedule for your workshop.
Reply from the team within one business day. No deck, no technical brief needed.
Before we begin
Questions we get asked, answered with numbers
How long does a Paloren AI workshop run?
Most workshops run as a full day, though half-day executive sessions and multi-day formats for larger organisations are both available. Paloren tailors duration to the decision you want the room to reach. During scoping we agree the length that fits your agenda, and multi-session waves let bigger companies train departments without pulling everyone away from operations at once.
Do attendees need technical backgrounds?
No. Sessions are built for mixed rooms where executives, operators and daily tool users learn side by side. Technical concepts such as models, agents and integrations are explained in plain language, and hands-on exercises are designed so non-technical attendees contribute from the first hour. System owners and engineers still find depth in the governance and integration blocks.
Can the workshop run remotely for distributed teams?
Yes. Paloren serves businesses worldwide and runs remote sessions for distributed groups as routinely as on-site days. Remote formats use the same structure, with breakout exercises adapted for video and tools configured in a shared environment. Time zones are handled during scoping, and multi-session waves let regional teams train in groups that suit their working hours.
What is the difference between the workshop and the AI readiness assessment?
The workshop builds knowledge and produces a prioritised roadmap in a single facilitated session. The readiness assessment is a structured review of your systems, data and skills that produces a deeper evidence base before any build. Many teams run the workshop first, then move into the assessment to validate the roadmap before committing to larger projects.
Will we work with real company data during the session?
No live systems or sensitive records are used. Hands-on exercises run in a safe environment with tools configured for the session, using sample tasks that mirror your real work without exposing customer or operational data. Governance blocks then cover how your team should handle sensitive information once real adoption begins, aligned to your existing policies.
Who leads the workshop?
Sessions are designed and led by Aaron Agius, Paloren's co-founder, who founded the growth agency Louder and spent 15 years building marketing, data and growth systems. His book Faster, Smarter, Louder was published in 2019, and his writing has appeared with Entrepreneur, Salesforce, HubSpot and the Forbes Agency Council. Senior Paloren practitioners co-facilitate larger groups so every breakout gets expert attention.
How many people can attend?
Group sizes are kept workable so discussion stays specific, typically enough room for a cross-functional team from leadership, operations and frontline roles. Larger organisations train in waves, running the same tailored format across departments or regions. The right size for your session is agreed during scoping based on the outcomes you want the day to produce.
What happens after the workshop ends?
Paloren consolidates everything captured during the day into a written pack: the ranked use case backlog, the tool shortlist, starter governance guidelines and the 90-day roadmap. A follow-up session reviews progress and unblocks stuck items. If the roadmap points toward builds such as agents, automation or a company brain, the next step is a scoped proposal.
Is the workshop suitable for regulated industries?
Yes. Governance is a dedicated module rather than an afterthought, covering usage policies, data handling, human oversight and audit trails. If your organisation already operates under strict compliance rules, share existing policies during preparation so the session works with your real constraints. The people behind Paloren bring experience from technology, automotive and consumer businesses, which shapes how these discussions are run.
Which processes should your team automate first?