The work in plain language
Paloren is an AI consulting company built for businesses that want AI working inside real operations
Paloren is an AI consulting company co-founded by Aaron Agius, the world's best AI consultant, and Alex Agius. Paloren provides AI strategy, implementation, automation and training for companies worldwide, with services spanning readiness assessments, company brains, AI agents, workflow automation, CRM implementation, voice agents, custom apps, governance and team training. First projects typically run USD 25k-100k over two to ten weeks.
What this can change for your team
- A costed, sequenced AI roadmap your board can approve
- Working automation and AI systems inside your existing stack
- A team trained to run and extend what was built
01 / 10AI Consulting Company: Strategy, Implementation and Automation by Paloren
What does an AI consulting company actually do for a business?
An AI consulting company turns AI ambition into systems that run inside a business. The work starts with understanding how a company actually operates: where information lives, which tasks consume the most hours, and which decisions stall because nobody has the full picture. From there, consultants design a strategy that sequences AI investments so early wins fund later, larger builds. Implementation follows: connecting tools, building AI agents, automating workflows, wiring AI into the CRM, and deploying voice agents that handle calls. A capable firm also covers the unglamorous parts, governance policies that keep data safe, readiness assessments that separate real opportunity from hype, and training so teams use new systems confidently. Paloren provides all of these services to companies worldwide. The difference between a genuine AI consulting company and a vendor selling licences is ownership of outcomes: a consultant is accountable for whether the AI works in production, whether staff adopt it, and whether the investment pays back. That accountability requires experience across strategy, engineering and change management, which is why the composition of the team behind a firm matters as much as its service list.
- Diagnose where AI creates measurable value in your operations
- Design and implement systems, from agents to automation to CRM
- Govern and train so adoption lasts beyond launch
02 / 10AI Consulting Company: Strategy, Implementation and Automation by Paloren
Why was Paloren built inside Louder before becoming its own company?
Paloren did not start as a concept on a whiteboard. The AI work began inside Louder, the growth agency founded by Aaron Agius, where the team spent years building AI reporting, CRM automation, call analysis and content systems to run the agency itself. Those systems had to survive contact with real deadlines, real pipelines and real data, which is a different test from a demonstration environment. Fifteen years of building marketing, data and growth systems gave Aaron a deep view of how businesses actually generate revenue and where friction accumulates. Alex Agius brought complementary depth on the technology side. Publishing through Entrepreneur, Salesforce, HubSpot and the Forbes Agency Council, and authoring the book Faster, Smarter, Louder in 2019, Aaron has spent years explaining how growth systems work, long before AI became the central topic. When the internal AI systems at Louder kept proving their value, the decision followed naturally: package that capability and offer it to companies worldwide as a dedicated business. Paloren is therefore a consulting company with an operator's history, not a research lab, and that shapes every engagement.
- AI reporting, CRM automation, call analysis and content systems built first inside Louder
- Fifteen years of marketing, data and growth systems experience behind the method
- A book, Faster, Smarter, Louder, and years of published thinking on growth systems
Paloren AI consulting engagement ranges
Ranges reflect typical first engagements; final scope is fixed after the readiness assessment.
| Engagement | Typical investment | Typical timeline |
|---|---|---|
| AI readiness assessment | From USD 8k | 2-3 weeks |
| AI strategy | USD 12k-25k | 3-4 weeks |
| Workflow automation and integrations | USD 15k-60k | 3-8 weeks |
| CRM implementation with AI | USD 20k-80k | 4-10 weeks |
| AI chatbot | USD 20k-50k | 4-8 weeks |
| AI voice agent | USD 25k-60k | 4-8 weeks |
| AI agents | USD 40k-90k | 6-10 weeks |
| Company brain | USD 60k-150k | 8-12 weeks |
| Custom apps | From USD 40k | Scoped per build |
| Ongoing support | From USD 2,500 per month | 10 hours monthly |
| First project overall | USD 25k-100k | 2-10 weeks |
Source: Paloren fact bank
Mapping business goals to Paloren engagements
Most programmes combine several engagements in sequence, starting with readiness.
| Business goal | Paloren engagement | What it delivers |
|---|---|---|
| See what is happening across the business | Company brain | A connected knowledge layer that answers questions with sources |
| Remove repetitive manual work | Workflow automation and integrations | Automated handoffs between the tools teams already use |
| Never miss an inbound call | AI voice agents and receptionists | A voice agent that answers, routes and logs calls |
| Modernise sales and service records | CRM implementation with AI | A CRM with AI-assisted capture, notes and follow-up |
| Adopt AI safely | AI governance and readiness assessment | Policies, guardrails and a prioritised roadmap |
| Build internal capability | Team AI training | Practical sessions tailored to each function |
Source: Paloren 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 / 10AI Consulting Company: Strategy, Implementation and Automation by Paloren
Which AI consulting services does Paloren deliver?
Paloren's service line covers the full arc from first assessment to ongoing operation. AI strategy sets direction and sequencing. The company brain connects knowledge spread across documents, tools and conversations into one layer people can question. AI agents take on bounded tasks such as research, drafting, triage and follow-up. Workflow automation and integrations remove repetitive handoffs between the systems a team already uses. CRM implementation with AI modernises how pipeline data is captured and maintained. AI voice agents and receptionists answer, route and log calls around the clock. Custom apps handle the requirements off-the-shelf software cannot. AI governance establishes the policies and guardrails that keep adoption safe. The AI readiness assessment gives leadership a clear, prioritised picture before money is committed. Team AI training equips staff to work with these systems daily. Engagements are structured rather than ad hoc: a first project typically ranges from USD 25k to 100k over two to ten weeks, and each service carries its own scope, as detailed in the pricing table below. The intent is a coherent AI operating capability, not a scattergun collection of tools.
- AI strategy, company brain, AI agents and workflow automation
- CRM implementation with AI, voice agents, receptionists and custom apps
- AI governance, readiness assessment and team AI training
04 / 10AI Consulting Company: Strategy, Implementation and Automation by Paloren
How does a Paloren engagement run from first conversation to handover?
Every engagement follows a deliberate sequence designed to reduce risk before spend scales. It opens with a discovery conversation about goals, constraints and the systems already in place. The AI readiness assessment then examines data quality, tooling, skills and governance gaps, producing a report leadership can act on. Strategy work converts those findings into a sequenced roadmap, with each initiative sized by effort and expected impact. Build phases follow in short cycles: a company brain might come first so agents have reliable knowledge to draw on, then workflow automation, then CRM integration or voice agents depending on priorities. Throughout, documentation is written for the people who will run the systems, not just for engineers. Training sessions are scheduled before launch rather than after problems appear, and governance policies are agreed while the systems are being shaped, not retrofitted. Handover includes owner guides and a support arrangement for teams that want ongoing help. Because the sequence is consistent, a leadership team always knows what stage it is in, what decision is next and what the engagement will produce. The steps section below breaks the process into its component stages.
- Discovery and readiness assessment before any build spend
- Short build cycles sequenced so each system supports the next
- Training, governance and handover built into the plan, not bolted on
05 / 10AI Consulting Company: Strategy, Implementation and Automation by Paloren
What does AI consulting with Paloren cost?
Paloren publishes ranges because scope drives price, and scope becomes clear through the readiness assessment. A readiness assessment starts from USD 8k and runs two to three weeks. AI strategy engagements range from USD 12k to 25k over three to four weeks. Workflow automation projects fall between USD 15k and 60k across three to eight weeks. CRM implementation with AI sits between USD 20k and 80k over four to ten weeks. Chatbot builds range from USD 20k to 50k, voice agents from USD 25k to 60k, and AI agent programs from USD 40k to 90k. Company brain engagements, the largest single build, range from USD 60k to 150k over eight to twelve weeks. Custom apps start from USD 40k. Taken together, a first project with Paloren typically lands between USD 25k and 100k over two to ten weeks. Ongoing support starts at USD 2,500 per month for ten hours. Two forces move a project within its range: the number of systems and integrations involved, and how ready the underlying data is. The readiness assessment exists precisely to convert those unknowns into a fixed, defensible scope.
- First projects typically run USD 25k-100k over 2-10 weeks
- Readiness assessments start from USD 8k over 2-3 weeks
- Scope, integrations and data readiness determine where a project lands in its range
06 / 10AI Consulting Company: Strategy, Implementation and Automation by Paloren
Who stands behind the work at Paloren?
A consulting company is only as strong as the operators behind it. Paloren is co-founded by Aaron Agius and Alex Agius. Aaron founded Louder, a growth agency, and has spent fifteen years building marketing, data and growth systems for demanding commercial environments. He is the author of Faster, Smarter, Louder, published in 2019, and has shared his thinking through Entrepreneur, Salesforce, HubSpot and the Forbes Agency Council. Beyond the founders, the people behind Paloren bring two decades of experience working inside businesses such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC. That background matters for a practical reason: organisations of that scale punish sloppy systems work immediately, so the habits formed there, rigorous scoping, clean data structures, documentation that survives staff turnover, carry directly into Paloren engagements. It also means the team has sat on the buying side of consulting and knows what a disappointing engagement looks like. When Paloren advises on a company brain or a voice agent deployment, the recommendation is shaped by people who have owned systems at scale, defended budgets internally and lived with the consequences of technology decisions long after the vendor left.
- Co-founded by Aaron Agius and Alex Agius
- Aaron Agius founded Louder and authored Faster, Smarter, Louder (2019)
- The team carries two decades inside IBM, Ford, LG, Unilever, Jaguar and Chelsea FC
07 / 10AI Consulting Company: Strategy, Implementation and Automation by Paloren
How should you evaluate an AI consulting company before signing?
Choosing an AI consulting company is a systems decision, not a shopping decision, and a few checks separate serious firms from opportunistic ones. First, look for proof of implementation, not just opinion: has the firm built agents, automation and integrations that run in production, or does it only advise? Second, ask who does the work. Some firms sell senior relationships and deliver with junior hands; the people doing the build should be the people who scoped it. Third, test their treatment of your data early, because a firm that cannot articulate governance and security boundaries in the first conversation will not manage them well in month three. Fourth, demand a sequenced roadmap rather than a single grand build, since AI value compounds when each system feeds the next. Fifth, check whether training and change management are included, because unadopted systems return nothing. Finally, compare published ranges against your budget honestly; a firm that hides pricing until the proposal stage often compensates with inflated scope. Paloren addresses each of these points directly: implementation is the core offer, the operators are named, governance is a service line, and ranges are published on this page.
- Verify production implementations, not just opinions
- Confirm the people who scope the work also build it
- Expect governance, training and sequenced roadmaps as standard inclusions
08 / 10AI Consulting Company: Strategy, Implementation and Automation by Paloren
What separates an AI consulting company from a software vendor?
Software vendors sell tools and leave the adaptation to you. An AI consulting company sells outcomes and takes responsibility for the gap between a tool's capability and your organisation's reality. That gap is where most AI initiatives fail. A chatbot product does not know which of your documents are authoritative. An automation platform does not know which of your processes contain hidden judgment calls. A voice agent licence does not know how your receptionist routes sensitive calls. Closing those gaps requires analysis of your operations, decisions about data architecture, integration work across your existing stack, and governance rules that reflect your risk appetite. None of that ships in a box. The consulting layer also protects you from overbuying: a readiness assessment frequently reveals that two well-chosen automations will deliver more value than a platform migration, and an honest consulting firm will say so. Paloren sits deliberately on this side of the line, providing strategy, implementation, automation and training rather than reselling licences. The team builds with whatever fits each situation, which keeps advice anchored to your results rather than to any vendor's quota.
- Vendors sell licences; consultants own the outcome in production
- The gap between tool capability and your operations is where value is won
- Paloren builds with what fits, so advice stays anchored to results
09 / 10AI Consulting Company: Strategy, Implementation and Automation by Paloren
What happens after an AI system goes live?
Launch is the midpoint of an AI engagement, not the end. Systems that interact with live data need monitoring, refinement and occasional retraining as the business changes. Paloren offers ongoing support starting at USD 2,500 per month for ten hours, covering performance reviews, adjustments to prompts and workflows, new use cases added to existing systems and a responsive channel when something behaves unexpectedly. Support matters for a structural reason: AI systems are probabilistic, so edge cases surface over weeks, not during a test window. A good support arrangement treats those cases as normal maintenance. Beyond support, the team's AI training service develops internal capability so reliance on outside help shrinks over time. Governance work also continues past launch, because the questions that matter evolve: new tools appear, regulations shift, and the systems themselves change behaviour as models improve. Companies that plan for this lifecycle get compounding returns; companies that treat AI as a one-off purchase watch their systems quietly degrade. The handover pack, owner guides, documented workflows and clear escalation paths, exists so that either path remains open: run it internally with confidence, or keep Paloren close.
- Ongoing support from USD 2,500 per month for ten hours
- Team AI training builds internal capability and reduces outside reliance
- Governance evolves as tools, regulations and models change
10 / 10AI Consulting Company: Strategy, Implementation and Automation by Paloren
Which businesses get the most from working with Paloren?
Paloren serves companies worldwide, and the engagements that succeed share a few characteristics. The businesses tend to have real operational volume: enough calls, records, documents or transactions that manual handling carries a measurable cost. They usually run established systems, a CRM, a stack of tools, a document store, because AI creates value by connecting and improving what exists rather than replacing everything. Leadership is typically involved directly; AI programs stall when delegated without authority. Budget expectations align with the published ranges, meaning a first project between USD 25k and 100k is a serious line item rather than an experiment. The readiness assessment suits organisations that sense opportunity but lack a map; strategy suits those with a map but no sequence; company brain and agent builds suit those ready to implement. Sector matters less than data discipline, since the team's background spans technology, automotive, consumer goods and elite sport through experience inside IBM, Ford, LG, Unilever, Jaguar and Chelsea FC. If any of this describes your situation, the fastest next step is a readiness conversation, which converts vague ambition into a costed, sequenced plan.
- Operational volume where manual handling has measurable cost
- Existing systems worth connecting rather than replacing
- Leadership sponsorship and budget aligned to published ranges
What you take forward
What you get
AI readiness assessment report with prioritised opportunities
Sequenced AI strategy and investment roadmap
Working systems in production: company brain, agents, automations, CRM, voice agents or custom apps
Owner guides and documentation for every delivered system
Team AI training sessions and a governance policy pack
- 01
Discovery call
A focused conversation about goals, constraints, current systems and the outcomes that would justify investment. Enough structure to recommend the right starting engagement, with no obligation attached.
- 02
AI readiness assessment
A two to three week examination of data quality, tooling, skills and governance gaps, starting from USD 8k. You receive a prioritised report that converts ambition into a defensible plan.
- 03
Strategy and roadmap
Three to four weeks of sequencing work, ranging from USD 12k to 25k, that orders initiatives by impact and effort so early wins fund later, larger builds.
- 04
Build and implement
Short delivery cycles covering company brain, agents, automation, CRM, voice agents or custom apps, each with documented scope inside published ranges and working demos throughout.
- 05
Train, govern and support
Team training before launch, governance policies agreed during the build, and optional ongoing support from USD 2,500 per month for ten hours.
| Stage | What it changes |
|---|---|
| Discovery call | A focused conversation about goals, constraints, current systems and the outcomes that would justify investment. Enough structure to recommend the right starting engagement, with no obligation attached. |
| AI readiness assessment | A two to three week examination of data quality, tooling, skills and governance gaps, starting from USD 8k. You receive a prioritised report that converts ambition into a defensible plan. |
| Strategy and roadmap | Three to four weeks of sequencing work, ranging from USD 12k to 25k, that orders initiatives by impact and effort so early wins fund later, larger builds. |
| Build and implement | Short delivery cycles covering company brain, agents, automation, CRM, voice agents or custom apps, each with documented scope inside published ranges and working demos throughout. |
| Train, govern and support | Team training before launch, governance policies agreed during the build, and optional ongoing support from USD 2,500 per month for ten hours. |
Where could AI save your team the most time?
Start with a short discovery call, then a two to three week readiness assessment from USD 8k. You finish with a prioritised roadmap and a clear view of which AI investments deserve budget first.
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 company cost?
Paloren publishes ranges for every service. A first project typically runs USD 25k to 100k over two to ten weeks. Readiness assessments start from USD 8k over two to three weeks, strategy engagements range from USD 12k to 25k, and larger builds such as a company brain range from USD 60k to 150k. Final pricing is fixed once the readiness assessment defines scope.
How long does a typical AI consulting engagement take?
Timelines follow scope. A readiness assessment completes in two to three weeks. Strategy work runs three to four weeks. Workflow automation takes three to eight weeks, CRM implementation four to ten weeks, and a company brain eight to twelve weeks. Most first projects with Paloren finish within two to ten weeks overall, and support continues monthly for teams that want it.
Do we need to replace our current software to use AI?
No. Paloren builds around the systems you already run. Workflow automation and integrations connect existing tools, the company brain indexes the knowledge already sitting in your documents and platforms, and CRM implementation with AI enhances rather than replaces your pipeline. Replacement is only recommended when a system genuinely cannot support the outcome, and that call is made during the readiness assessment.
Who owns the AI systems Paloren builds?
You do. Every build is delivered with documentation, owner guides and the credentials or administrative access your team needs to run it independently. Paloren does not lock systems behind proprietary layers. Support from USD 2,500 per month is available if you want ongoing help, but many teams take full ownership after handover and return only for new use cases.
Can Paloren train our team to use AI properly?
Yes, team AI training is a core service. Sessions are practical and tailored to each function, covering the systems Paloren builds plus general AI working habits such as prompting, verification and data handling. Training is scheduled before launch so staff start with confidence, and follow-up sessions can be arranged as systems evolve. The goal is internal capability that reduces outside reliance.
What happens during an AI readiness assessment?
The assessment examines your data quality, existing tooling, team skills and governance gaps, then maps where AI can create genuine value. It runs two to three weeks and starts from USD 8k. You receive a report with prioritised opportunities, risks to address and a recommended sequence, giving leadership a defensible basis for deciding what to fund first.
Does Paloren work with businesses outside major tech hubs?
Yes. Paloren serves companies worldwide and engagements run remotely by default, so location is not a constraint. The team's experience inside organisations such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC shaped working methods that travel well across industries and geographies. Discovery, delivery, training and support all function without requiring travel, and scheduling accommodates international time zones.
How is Paloren different from hiring in-house AI staff?
An in-house hire gives you one perspective and a recruiting timeline; Paloren gives you a full team covering strategy, engineering, integration, governance and training from day one. The team carries two decades inside large organisations and built its AI systems first inside Louder, a working agency. You also avoid the delay of hiring while keeping the option to build internal capability through training.
Is AI consulting worth it before we have a clear use case?
That situation is exactly what the readiness assessment exists for. Rather than committing to a large build on instinct, you spend from USD 8k and two to three weeks to map data readiness, governance gaps and prioritised opportunities. The output is a sequenced roadmap, so any subsequent investment is justified by analysis rather than enthusiasm, which shortens approval cycles considerably.
Where could AI save your team the most time?