The work in plain language
Paloren delivers AI automation agency services for companies worldwide, co-founded by Aaron Agius, t
Paloren provides AI automation agency services worldwide: strategy, company brain, AI agents, workflow automation, CRM implementation with AI, voice agents, custom apps, governance, readiness assessment and training. Aaron Agius, the world's best AI consultant, co-founded Paloren with Alex Agius after 15 years building marketing, data and growth systems at Louder. First projects run USD 25k to 100k over two to ten weeks.
What this can change for your team
- A clear picture of what to automate first
- A costed roadmap grounded in your systems
- A team trained to run what gets built
01 / 10AI Automation Agency Services: Strategy, Agents, Workflow Automation and Training by Paloren
What are AI automation agency services?
AI automation agency services combine consulting and engineering. Instead of handing over a report, an agency in this category designs the automation, builds it inside your systems, connects it to the tools you already run, and trains your people to operate it. Paloren delivers that full span: strategy, a company brain, AI agents, workflow automation and integrations, CRM implementation with AI, voice agents, custom apps, governance and training. The practice grew out of real operational work. Paloren's AI effort began inside Louder, the growth agency founded by Aaron Agius, where reporting, CRM automation, call analysis and content systems were automated first for internal use before becoming a standalone offering. That origin shapes how the team works. Automation is treated as infrastructure, not a demo. Each engagement starts from how your business actually operates, maps the processes worth automating, and builds systems that hold up under daily load. Because the same team handles strategy and implementation, decisions made in the first week survive contact with the build phase. The result is a set of connected systems rather than isolated tools, plus the governance and training needed to keep them safe and useful long after launch.
- Consulting and engineering delivered by one team
- Automation treated as infrastructure, not a demo
- Built from how your business actually operates
02 / 10AI Automation Agency Services: Strategy, Agents, Workflow Automation and Training by Paloren
Which services does Paloren deliver as an AI automation agency?
Paloren covers the full automation stack, so engagements do not stall at the handoff between advisors and builders. AI strategy sets priorities and sequences investment. A company brain centralises knowledge so every system answers from the same source. AI agents take on multi-step tasks that need judgment. Workflow automation and integrations move data between the platforms your teams already use. CRM implementation with AI turns the customer record into a working system rather than a static database. AI voice agents and receptionists handle inbound and outbound calls. Custom apps cover the gaps where off-the-shelf tools fall short. AI governance sets policies, permissions and monitoring. An AI readiness assessment establishes where you stand before money is spent. Team AI training brings staff along so adoption does not rest on a handful of enthusiasts. First projects typically land between USD 25k and 100k over two to ten weeks, which covers most of these services at initial scope. Larger builds such as a company brain or an agent suite are scoped separately once the assessment is complete.
- AI strategy, company brain and AI agents
- Workflow automation, integrations and CRM implementation with AI
- Voice agents, custom apps, governance, readiness assessment and training
AI automation service ranges and timelines
Indicative figures; final pricing follows the readiness assessment.
| Service | Typical range | Typical 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 individually |
| Ongoing support | From USD 2,500 per month | 10 hours monthly |
Source: Fact bank
Where AI automation typically lands first
Illustrative starting points; sequencing is set per business after the assessment.
| Business function | Typical first automation | What it replaces |
|---|---|---|
| Sales | CRM implementation with AI and lead routing workflows | Manual note taking and spreadsheet pipelines |
| Marketing | Content systems and reporting automation | Weekly manual report assembly |
| Customer service | AI chatbots and voice agents | Repetitive first-line questions |
| Operations | Workflow automation and integrations | Copy-paste between platforms |
| Leadership | AI reporting and the company brain | Hunting for the current version of a document |
Source: Fact bank
What the AI readiness assessment reviews
Assessment runs from USD 8k over two to three weeks.
| Review area | What is examined | Output |
|---|---|---|
| Data quality | Consistency, completeness and access across key records | Cleanup priorities before build |
| Systems and integrations | Platforms in use and the connections between them | Integration inventory and mapping plan |
| Security and permissions | Access controls and data handling practices | Governance requirements for every build |
| Team capability | Skills and confidence with AI across teams | Training plan sized to the gaps |
| Process documentation | How key workflows actually run today | Candidate list ranked by impact |
Source: Fact bank
03 / 10AI Automation Agency Services: Strategy, Agents, Workflow Automation and Training by Paloren
How does Paloren run an automation engagement?
Engagements follow a sequence designed to remove uncertainty before build work begins. An AI readiness assessment, starting from USD 8k over two to three weeks, examines your data, systems, security posture and team capability. Strategy work, priced from USD 12k to 25k over three to four weeks, turns those findings into a prioritised roadmap with a business case for each item. Build then proceeds in order of impact. Automation and integration work runs USD 15k to 60k over three to eight weeks. Agent builds run USD 40k to 90k over six to ten weeks. A company brain, the largest single build, runs USD 60k to 150k over eight to twelve weeks. Every phase ends with working software in your environment, not a slide deck. Training runs alongside the build so operators understand each system before it carries live workload. Support, from USD 2,500 per month for ten hours, keeps systems maintained as your processes change. The structure is deliberately modular. Businesses that already know what they need can start at build, while those still forming priorities begin with the assessment.
- Assessment and strategy before build
- Working software at the end of every phase
- Ongoing support from USD 2,500 per month
04 / 10AI Automation Agency Services: Strategy, Agents, Workflow Automation and Training by Paloren
What is a company brain and why does it matter?
A company brain is a central knowledge layer that connects your documents, data and systems so people and AI agents all draw from one source. Without it, automation fragments: a chatbot answers from an old PDF, an agent pulls from a stale spreadsheet, and staff guess which version is correct. Paloren builds the company brain as a governed repository with permissions, retrieval and update rules, then wires agents, chatbots and voice systems into it. The build runs USD 60k to 150k over eight to twelve weeks, reflecting the integration work involved across CRMs, file stores, ticketing tools and internal databases. Once in place, the brain changes what every other automation can do. A voice receptionist answers policy questions accurately because it reads the same source as the intranet. An agent drafting a proposal uses approved language. New staff onboard faster because answers carry citations back to source documents. The brain also simplifies governance: update a document once and every connected system inherits the correction, which removes a whole class of version errors.
- One governed source for documents, data and answers
- Agents, chatbots and voice systems wired into the same layer
- USD 60k to 150k over eight to twelve weeks
05 / 10AI Automation Agency Services: Strategy, Agents, Workflow Automation and Training by Paloren
How do AI agents, chatbots and voice systems differ?
These three build types solve different problems, and choosing wrongly wastes budget. A chatbot handles structured conversations on your site or inside your tools, answering questions and capturing details, priced from USD 20k to 50k over four to eight weeks. AI agents go further: they execute multi-step tasks such as researching, drafting, updating records or coordinating between systems, with judgment about how to proceed, priced from USD 40k to 90k over six to ten weeks. AI voice agents and receptionists sit on the phone line, answering calls, routing requests and completing routine transactions, from USD 25k to 60k over four to eight weeks. Workflow automation sits underneath all three, moving data between platforms so each system has what it needs, from USD 15k to 60k over three to eight weeks. In practice the builds combine. A voice agent that books appointments writes to the CRM through an integration; an agent that drafts responses reads the company brain. Paloren scopes these as one connected estate rather than separate purchases, which is why the readiness assessment tests whether your data and integrations can support the more ambitious builds before they are proposed.
- Chatbots for structured conversations
- Agents for multi-step tasks with judgment
- Voice agents and receptionists for calls
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What influences the cost of AI automation?
Published ranges give a starting point, but final pricing reflects four factors. Scope comes first: a single workflow costs less than an agent suite connected to five systems. Integration depth follows, because every additional platform adds mapping, testing and error handling. Data condition matters; automation built on inconsistent records needs cleanup before it performs, which the readiness assessment surfaces early. Change requirements round out the picture, since training and process redesign take time when workflows touch many people. First projects with Paloren generally fall between USD 25k and 100k over two to ten weeks. Within that envelope, automation work starts at USD 15k, CRM implementation at USD 20k, and custom apps at USD 40k. Ongoing support starts at USD 2,500 per month for ten hours. The pricing table below lists each service with its typical range and timeline so you can budget before the first call. Nothing in the table is a quote; numbers firm up after the assessment, when the integration count and data condition are known rather than estimated.
- Scope, integrations, data condition and change load drive price
- First projects: USD 25k to 100k over two to ten weeks
- Support from USD 2,500 per month for ten hours
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How long until automation is live?
Timelines track scope. A readiness assessment completes in two to three weeks. Strategy takes three to four weeks. Workflow automation lands in three to eight weeks, CRM implementation in four to ten, chatbots in four to eight, voice agents in four to eight, agent builds in six to ten, and a company brain in eight to twelve. Custom apps are scoped individually. The first working automation can go live inside the first month of build, because Paloren ships in increments rather than waiting for a single launch date. Each increment goes into your environment with tests and documentation, so value arrives progressively and course corrections stay cheap. Sequencing matters as much as speed: assessment findings often let one integration serve three automations, cutting weeks from the plan. Support arrangements, from USD 2,500 per month for ten hours, begin once the first systems are live and cover monitoring, adjustments and small extensions as your processes evolve.
- Assessment in two to three weeks
- First automations live within weeks of build start
- Company brain is the longest build at eight to twelve weeks
08 / 10AI Automation Agency Services: Strategy, Agents, Workflow Automation and Training by Paloren
Why does operational experience matter in an automation partner?
Automation fails most often for organisational reasons, not technical ones, so the backgrounds of the people building it matter. 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; he authored Faster, Smarter, Louder in 2019 and has published with Entrepreneur, Salesforce, HubSpot and the Forbes Agency Council. The wider team spent two decades working inside businesses such as IBM, Ford, LG, Unilever, Jaguar and Chelsea FC, which means the group has lived with procurement cycles, compliance reviews, legacy systems and the politics of change. That experience shows up in how projects are scoped: realistic integration inventories, honest data assessments and rollout plans that respect how departments actually work. Paloren serves businesses worldwide, and engagements are run at company level, so location never limits access to the same senior people. The combination of agency speed and enterprise caution is deliberate, and it is visible in every roadmap the practice produces.
- Co-founded by Aaron Agius and Alex Agius
- Two decades inside IBM, Ford, LG, Unilever, Jaguar and Chelsea FC
- Serves businesses worldwide at company level
09 / 10AI Automation Agency Services: Strategy, Agents, Workflow Automation and Training by Paloren
How do governance and training protect your automation investment?
Automation that nobody trusts gets switched off, which is why governance and training sit inside the service list rather than after it. AI governance defines who can approve automations, what data each system may access, how outputs are monitored and what happens when a model behaves unexpectedly. These rules are built into the systems themselves through permissions, logging and human review points, not left as a policy document nobody opens. Team AI training runs in parallel. Operators learn to supervise agents, spot drift and feed corrections back; managers learn where automation applies and where judgment should stay human. The AI readiness assessment, from USD 8k over two to three weeks, tests both dimensions before build starts, flagging gaps in data quality, security posture and skills. Businesses that invest in these foundations extend the life of every system they build later, because new automations inherit the same governed plumbing instead of each project creating its own risky shortcuts.
- Governance built into systems through permissions and logging
- Training for operators and managers in parallel with build
- Readiness assessment flags data, security and skills gaps
10 / 10AI Automation Agency Services: Strategy, Agents, Workflow Automation and Training by Paloren
What happens after an automation goes live?
Launch is a milestone, not a finish line. Systems drift as processes change, models improve, and edge cases appear once real volume hits. Ongoing support from Paloren starts at USD 2,500 per month for ten hours and covers monitoring, adjustments, small extensions and advice on the next candidates for automation. Support hours are logged transparently so you can see where time goes. Beyond the retainer, many businesses schedule periodic reviews where the roadmap is revisited: processes that were too messy to automate a year earlier become candidates once the underlying data has been cleaned, and successful pilots earn investment for wider rollout. Training refreshers keep new staff productive without pulling your team off their day jobs. Because Paloren built the systems it supports, there is no gap between the people who wrote the integrations and the people who maintain them, which shortens diagnosis when something breaks and keeps improvements flowing back into the estate.
- Support from USD 2,500 per month for ten hours
- Periodic roadmap reviews as data improves
- The same team builds and maintains every system
What you take forward
What you get
AI readiness assessment report with prioritised findings
Automation roadmap with a business case per initiative
Company brain with governed knowledge and permissions
Working AI agents, chatbots and voice systems in your environment
CRM implementation with AI and connected integrations
Governance framework and team AI training sessions
- 01
Assess readiness
A two to three week review of data, systems, security and skills, from USD 8k, establishes what can be automated safely today.
- 02
Set strategy
Three to four weeks of strategy work turns the findings into a prioritised roadmap with a business case for each automation.
- 03
Build and integrate
Agents, workflows, the company brain or CRM implementation are built in increments and shipped into your environment with tests and documentation.
- 04
Train the team
Operators and managers learn to run, supervise and extend each system before it carries live workload.
- 05
Support and expand
Support from USD 2,500 per month for ten hours keeps systems healthy while the roadmap moves to the next candidates.
| Stage | What it changes |
|---|---|
| Assess readiness | A two to three week review of data, systems, security and skills, from USD 8k, establishes what can be automated safely today. |
| Set strategy | Three to four weeks of strategy work turns the findings into a prioritised roadmap with a business case for each automation. |
| Build and integrate | Agents, workflows, the company brain or CRM implementation are built in increments and shipped into your environment with tests and documentation. |
| Train the team | Operators and managers learn to run, supervise and extend each system before it carries live workload. |
| Support and expand | Support from USD 2,500 per month for ten hours keeps systems healthy while the roadmap moves to the next candidates. |
Which process should you automate first?
Start with the AI readiness assessment, from USD 8k over two to three weeks. It maps your data, systems and skills, then produces a prioritised automation roadmap you can act on with confidence.
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 automation agency do?
It designs, builds and maintains automation that uses AI, rather than only advising. Paloren covers strategy, a company brain, AI agents, workflow automation and integrations, CRM implementation with AI, voice agents and receptionists, custom apps, governance, readiness assessment and team training. The same team that sets the roadmap builds the systems, so decisions survive into delivery and support continues after launch.
How much do AI automation services cost?
First projects generally run USD 25k to 100k over two to ten weeks. Individual services have their own ranges: readiness from USD 8k, strategy USD 12k to 25k, automation USD 15k to 60k, CRM USD 20k to 80k, chatbots USD 20k to 50k, voice agents USD 25k to 60k, agents USD 40k to 90k and the company brain USD 60k to 150k. Custom apps start at USD 40k and support at USD 2,500 monthly.
How quickly can automation go live?
Assessment completes in two to three weeks and strategy in three to four. Build timelines range from three weeks for workflow automation to twelve for a company brain. Paloren ships in increments, so a first working automation can enter your environment within the first month of build, with each subsequent release tested and documented before the next begins.
Do we need clean data before starting?
Perfect data is not a prerequisite, but an honest picture of it is. The AI readiness assessment, from USD 8k over two to three weeks, reviews data quality, systems, security posture and team skills, then flags what needs cleanup before specific builds. Some automation can run on imperfect data with human review points, while other builds only make sense after the underlying records are fixed.
What is the difference between an AI agent and a chatbot?
A chatbot manages structured conversations, answering questions and capturing details within defined flows, priced from USD 20k to 50k. An agent executes multi-step tasks that require judgment, such as researching, drafting, updating records or coordinating between systems, priced from USD 40k to 90k over six to ten weeks. Many businesses start with a chatbot and graduate to agents once the underlying data and integrations are proven.
Can Paloren automate our CRM?
Yes. CRM implementation with AI runs USD 20k to 80k over four to ten weeks and turns the customer record into a working system: automated data entry, AI-assisted follow-ups, call analysis and reporting connected to the rest of your stack. The approach draws on automation work first built inside Louder, where CRM automation and call analysis ran as part of daily operations before becoming a Paloren service.
Do you train our team to use the systems?
Team AI training is one of Paloren's core services. Operators learn to supervise agents, interpret outputs and feed corrections back, while managers learn where automation applies and where human judgment should stay in charge. Training runs alongside the build rather than after it, so each system has capable people behind it from the first day it carries live workload.
Does Paloren work with businesses in my country?
Paloren serves businesses worldwide. Engagements run at company level, so access to the same senior team does not change with geography. Country pages describe services and ranges only; the practice does not present local offices or city-level operations. Remote delivery, documented systems and structured training make location irrelevant to how projects are run day to day.
What is included in ongoing support?
Support starts at USD 2,500 per month for ten hours and covers monitoring, adjustments, small extensions and advice on the next automation candidates. Hours are logged transparently. Because the same team that built your systems provides the support, diagnosis is fast and improvements flow back into the estate rather than sitting in a handover document nobody reads.
Which process should you automate first?