An AI consulting group that builds what it advises
Paloren is an AI consulting group co-founded by Aaron Agius, delivering AI strategy, agents, automation, CRM, voice and training for companies worldwide.
CEOs and operations leaders ready to move from AI curiosity to deployed systems
Paloren is an AI consulting group that plans, builds and runs AI systems for companies worldwide. Engagements cover strategy, company brains, agents, automation, CRM, voice and training, with first projects from USD 25,000.
An AI consulting group is a team that helps companies decide where artificial intelligence belongs in the business, then builds and runs those systems. The scope covers three layers.
Strategy comes first: reviewing how work happens today, identifying where AI removes cost or adds speed, and setting a sequence the organisation can follow.
Implementation follows: connecting models to real systems such as CRMs, reporting stacks and communication channels, and building agents and automations that hold up in production.
Enablement completes the picture, because tools only create value when people trust and use them. Paloren operates in exactly this way. The group plans, builds and trains under one roof, so decisions made in strategy sessions carry through to deployed software and to the teams who will live with it.
That joined-up structure matters. Companies that separate advice from delivery often end up with recommendations nobody can build, or builds nobody asked for. A consulting group keeps the thinker and the builder in the same room, which shortens the distance between an idea and a working system.
The work, made concrete
Strategy, implementation and enablement under one roof
Advice tested against buildability before you commit
One accountable team from assessment to training
| Service | Typical investment | Typical timeline |
|---|---|---|
| AI readiness assessment | From USD 8,000 | 2 to 3 weeks |
| AI strategy | USD 12,000 to 25,000 | 3 to 4 weeks |
| Company brain | USD 60,000 to 150,000 | 8 to 12 weeks |
| AI agents | USD 40,000 to 90,000 | 6 to 10 weeks |
| Workflow automation and integrations | USD 15,000 to 60,000 | 3 to 8 weeks |
| CRM implementation with AI | USD 20,000 to 80,000 | 4 to 10 weeks |
| AI chatbot | USD 20,000 to 50,000 | 4 to 8 weeks |
| AI voice agent or receptionist | USD 25,000 to 60,000 | 4 to 8 weeks |
| Custom apps | From USD 40,000 | Scoped per build |
| Ongoing support | From USD 2,500 per month | 10 hours monthly |
Ranges are indicative and confirmed during scoping.
Source: Paloren published service ranges
| What it became at Paloren | |
|---|---|
| AI reporting | Reporting services that turn operational data into readable, decision-ready summaries |
| CRM automation | CRM implementation with AI, keeping records enriched and current as activity happens |
| Call analysis | Voice agents and call intelligence that capture themes from real conversations |
| Content systems | Content and knowledge systems, including the company brain and agent drafting workflows |
Source: Paloren published service ranges
Aaron Agius co-founded Paloren with Alex Agius and leads the group's direction. Alex Agius co-founded Paloren and anchors the delivery side of the practice. Paloren combines implementation, workflow design and practical team training.
That background matters when the conversation moves from model selection to operational reality, because large organisations run on legacy constraints, compliance requirements and internal dynamics that only insiders understand.
Leadership here is hands-on; the people who scope your project are the people who stay on it.
The work, made concrete
Team experience inside IBM, Ford, LG, Unilever, Jaguar and Chelsea FC
The service line covers the full journey from questioning to operating. AI strategy sets direction and sequencing. An AI readiness assessment gives you a grounded picture of where the organisation stands before money is committed.
The company brain centralises knowledge so people stop hunting through drives and inboxes. AI agents handle defined tasks such as research, drafting and triage. Workflow automation and integrations connect the tools you already use so data moves without anyone pushing it.
CRM implementation with AI puts customer records to work, enriching and updating them as activity happens. AI voice agents and receptionists answer calls, capture detail and route conversations at any hour.
Custom apps address the gaps off-the-shelf software leaves open, with builds starting from USD 40,000. AI governance sets the rules for how models are used, tested and supervised.
Team AI training closes the skills gap so adoption survives the engagement. Most companies start with one or two services and expand as results land.
The work, made concrete
Ten services from readiness assessment to team AI training
Custom apps from USD 40,000 for gaps off-the-shelf tools leave
Start small with one or two services, expand as results land
Engagements follow a rhythm designed to reduce risk before spend increases. A first conversation establishes what you are trying to fix and whether Paloren is the right fit.
If the picture is unclear, an AI readiness assessment runs for two to three weeks and produces a factual baseline of data quality, tooling and team confidence. Strategy work follows, usually three to four weeks, converting the baseline into a prioritised roadmap with owners and sequences.
Implementation then happens in increments rather than one dramatic launch: a company brain comes online, agents take over defined tasks, automations connect systems, and each piece is tested against real work before the next begins.
Training runs alongside the build so your people learn the systems while they are being assembled, not months later from a manual. After handover, optional support from USD 2,500 per month covers ten hours of tuning, monitoring and iteration.
First projects typically range from USD 25,000 to 100,000 and run two to ten weeks depending on scope.
The work, made concrete
Readiness assessment from USD 8,000 over two to three weeks
Incremental builds tested against real work before the next begins
Optional support from USD 2,500 per month for ten hours
Pricing is scoped per project, but published ranges give honest anchors before a conversation. An AI readiness assessment starts at USD 8,000 and runs two to three weeks.
Strategy engagements land between USD 12,000 and 25,000 over three to four weeks.
Build work varies by system: workflow automation and integrations run USD 15,000 to 60,000 across three to eight weeks, chatbots sit between USD 20,000 and 50,000 over four to eight weeks, CRM implementation with AI ranges from USD 20,000 to 80,000 across four to ten weeks, AI voice agents cost USD 25,000 to 60,000 over four to eight weeks, and AI agents span USD 40,000 to 90,000 across six to ten weeks.
A company brain is the largest single build, from USD 60,000 to 150,000 over eight to twelve weeks. Custom apps start at USD 40,000. Ongoing support begins at USD 2,500 per month for ten hours.
First projects overall fall between USD 25,000 and 100,000 across two to ten weeks.
The work, made concrete
First projects range from USD 25,000 to 100,000 over two to ten weeks
Company brain is the largest build at USD 60,000 to 150,000
Every range published before the first conversation happens
The difference shows up in what happens after the deck. Many advisory firms stop at recommendations, leaving your team to interpret slides and select vendors alone.
A consulting group that also builds carries the work through to running software, which changes the incentives: advice gets tested against buildability before it reaches you.
Senior involvement is another marker. Paloren combines implementation, workflow design and practical team training.
Finally, the group covers the full arc, from readiness assessment through strategy, build, governance and training, so you work with one accountable partner rather than stitching together separate advisors, developers and trainers who have never met.
The work, made concrete
Builds as well as advises, so recommendations stay buildable
Senior people stay on projects after signing
Full arc covered: assessment, strategy, build, governance, training
Paloren serves businesses worldwide, and engagements are structured to work across borders and time zones. Discovery, workshops and reviews run over video, with shared workspaces keeping roadmaps, documentation and build progress visible between sessions.
Build work happens in environments your team can access from anywhere, so stakeholders in different regions review the same running system rather than reconciling separate versions.
Because the group works at country level rather than through local branch networks, every company gets the same senior team and the same methods regardless of where it operates.
That model suits distributed organisations particularly well: a business with teams in several countries can run one AI program with consistent governance instead of fragmented local experiments.
It also suits focused companies that want direct access to the people doing the work.
The work, made concrete
Serves businesses worldwide at country level
Same senior team and methods regardless of location
Suits distributed organisations wanting one governed AI program
Expect artefacts and systems, not vague promises. By the close of a strategy engagement you hold a prioritised roadmap that names what will be built, in what order, and why each item earned its place.
After implementation you have running software: a company brain answering questions from your own knowledge, agents completing defined tasks, automations moving data between the tools you already use, and a CRM that updates itself as activity happens.
Governance documentation arrives with the build, spelling out who supervises models, how outputs are checked and what happens when something misfires. Training leaves your team able to operate and extend the systems without daily outside help, which is the real test of whether an AI program has taken root.
Support arrangements, starting at USD 2,500 per month for ten hours, keep tuning and iteration available once the project team steps back. Nothing on this list requires faith; each item is either working software, a written document or a trained person, all of which you can inspect.
The work, made concrete
Working software, written documents and trained people, all inspectable
Governance documentation included with every build
Support from USD 2,500 per month keeps iteration available
A direct call to establish what you want AI to fix, what systems you run and whether Paloren fits the problem.
A two to three week baseline covering data quality, tooling, workflows and team confidence, so decisions rest on facts.
Three to four weeks converting findings into a prioritised plan with sequences, owners and realistic investment ranges.
Systems ship in stages, each tested against real work before the next begins, starting with the highest-value use case.
Your team learns to operate and extend each system while it is being built, then takes ownership with governance documentation in hand.
Optional support from USD 2,500 per month for ten hours keeps tuning, monitoring and iteration available after launch.
| Service | Typical investment | Typical timeline |
|---|---|---|
| AI readiness assessment | From USD 8,000 | 2 to 3 weeks |
| AI strategy | USD 12,000 to 25,000 | 3 to 4 weeks |
| Company brain | USD 60,000 to 150,000 | 8 to 12 weeks |
| AI agents | USD 40,000 to 90,000 | 6 to 10 weeks |
| Workflow automation and integrations | USD 15,000 to 60,000 | 3 to 8 weeks |
| CRM implementation with AI | USD 20,000 to 80,000 | 4 to 10 weeks |
| AI chatbot | USD 20,000 to 50,000 | 4 to 8 weeks |
| AI voice agent or receptionist | USD 25,000 to 60,000 | 4 to 8 weeks |
| Custom apps | From USD 40,000 | Scoped per build |
| Ongoing support | From USD 2,500 per month | 10 hours monthly |
Ranges are indicative and confirmed during scoping.
Paloren published service ranges
| What it became at Paloren | |
|---|---|
| AI reporting | Reporting services that turn operational data into readable, decision-ready summaries |
| CRM automation | CRM implementation with AI, keeping records enriched and current as activity happens |
| Call analysis | Voice agents and call intelligence that capture themes from real conversations |
| Content systems | Content and knowledge systems, including the company brain and agent drafting workflows |
AI readiness assessment report with a factual baseline of data, tooling and workflows
Prioritised AI strategy and roadmap with sequences, owners and investment ranges
Working systems in production: company brain, agents, automations, CRM or voice agents
AI governance documentation covering supervision, output checks and escalation
Team AI training so your people can operate and extend every system
Support arrangement from USD 2,500 per month for ten hours
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 moves a company from AI curiosity to deployed systems, so strategy decisions, built agents and trained teams stay connected at every stage.
| Step | Stage | What it changes |
|---|---|---|
| 01 | Signal | Map the CRM data quality, reporting workflows, sales-call volume, manual entry hours and which AI practices already carry load. |
| 02 | Synthesis | Sequence AI strategy into a build plan: agent scope, automation targets, voice and call-analysis priorities, plus training owners. |
| 03 | System | Connect models to CRMs, reporting stacks and communication channels; test agents, call summaries and automations against production cases. |
| 04 | Scale | Train the teams who will live with the systems, track adoption and record accuracy, then extend one workflow at a time. |
An AI consulting group advises on where AI belongs in a business and then builds the systems it recommends. Paloren covers strategy, readiness assessment, company brains, AI agents, workflow automation, CRM implementation with AI, voice agents, custom apps, governance and training.
The group plans and delivers under one roof, so recommendations are tested against buildability and every engagement ends with working software and trained people rather than slides.
Paloren was co-founded by Aaron Agius and Alex Agius. Paloren combines implementation, workflow design and practical team training.
A first project with Paloren sits between USD 25,000 and 100,000, running two to ten weeks based on scope. Smaller entry points exist: an AI readiness assessment starts at USD 8,000 over two to three weeks, and strategy engagements land at USD 12,000 to 25,000 across three to four weeks.
Exact figures are confirmed during scoping once the problem, systems and integration requirements are understood.
A company brain is a central knowledge system that connects your documents, records and communications so anyone in the business can ask questions and get grounded answers.
Paloren builds company brains from USD 60,000 to 150,000 over eight to twelve weeks. It is usually the largest single build because it touches many systems at once, and it often becomes the foundation that agents and automations draw on.
Not always, but it helps when the picture is unclear. The assessment runs two to three weeks from USD 8,000 and produces a factual baseline of data quality, tooling, workflows and team confidence.
Companies with scattered systems, unclear data ownership or low confidence in their records benefit most. When the problem is already obvious and well bounded, Paloren can move straight to scoping a specific build.
Yes. Team AI training is a core service, and it runs alongside builds rather than after them. Your people learn each system while it is being assembled, which shortens adoption and surfaces problems early.
Training covers how to operate the tools, how to judge outputs, and how governance rules apply to daily work. The goal is a team that can run and extend the systems without daily outside help.
Paloren serves businesses worldwide, and engagements run at country level without local branch networks. Discovery, workshops and reviews happen over video, with shared workspaces keeping roadmaps and build progress visible between sessions.
Distributed organisations benefit especially, because one AI program with consistent governance can cover teams in several regions instead of fragmenting into local experiments. The same senior team works with you regardless of where you operate.
Support starts at USD 2,500 per month and covers ten hours of work. That time goes to monitoring, tuning and iterating systems as your usage grows and edge cases appear. Support suits companies whose builds are live but still changing, such as agents learning new task types or automations absorbing new integrations.
Arrangements scale with need, so heavier programs can secure more hours.
Start with a short scoping conversation. If the picture is unclear, an AI readiness assessment from USD 8,000 provides a factual baseline before any build commitment, leaving you clear on sequence, investment and the first system to ship.
Ready to see where AI fits your business?
Book a scoping call
