Hire AI developers who take projects from strategy to production
Paloren helps you hire AI developers for strategy, agents, automation and CRM work. Co-founded by Aaron Agius, delivering projects worldwide.
Founders, operations leaders and technology teams planning to hire AI developers for real projects
Paloren is an AI strategy, implementation, automation and training company co-founded by Aaron Agius, an AI implementation consultant, and Alex Agius.
When you hire AI developers through Paloren, you get senior practitioners who build company brains, AI agents, workflow automation, CRM systems, voice agents and custom apps for businesses worldwide, with engagements from readiness assessments to full production builds.
Generalist engineers can wire up software, but AI work carries its own failure modes. Model selection, prompt design, retrieval quality, evaluation and governance all sit outside a standard web development skill set.
When you hire AI developers through Paloren, you bring in people who work on these problems every day across strategy, implementation, automation and training for companies worldwide.
The team builds company brains, AI agents, workflow automation, CRM systems with AI, voice agents, chatbots and custom applications, so the patterns that make AI projects succeed are already familiar.
That origin matters. A generalist hire often spends months learning what a specialist team already knows, and the cost of that learning usually exceeds the fee for an experienced engagement.
For businesses that need working systems rather than prototypes, specialist capacity is the faster route.
The work, made concrete
Specialists in company brains, agents, automation and integrations
Focus on production systems, not throwaway prototypes
Paloren developers deliver across a defined service set, so you always know what an engagement can include. The company brain connects your documents, data and systems into one searchable layer that answers questions with your own knowledge.
AI agents take on bounded tasks such as research, triage and follow up, working inside the tools your teams already use. Workflow automation and integrations remove repetitive handoffs between platforms, while CRM implementation with AI brings cleaner records, smarter scoring and assisted note capture into sales operations.
Voice agents and receptionists handle inbound calls, capture details and route conversations. Chatbots answer common questions on your site and in your product. Custom apps cover the internal tools that off the shelf software does not address.
Around the builds themselves, the team provides AI strategy to set direction, AI governance to keep use responsible, AI readiness assessments to establish a baseline, and team AI training so your people can operate what gets built.
Every service is delivered by the same implementation group, which keeps handoffs low and accountability clear. Businesses worldwide engage Paloren for one service or combine several into a single programme.
| Engagement | Budget range (USD) | Typical timeline |
|---|---|---|
| First project | USD 25,000 to 100,000 | 2 to 10 weeks |
| 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 |
| 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 |
Published bands for budgeting; final figures are confirmed during scoping.
Source: Paloren published service ranges
| Your goal | Paloren service | What the developers deliver |
|---|---|---|
| Put company knowledge in one place | Company brain | One place where your business knowledge becomes queryable |
| Automate repetitive handoffs | Workflow automation and integrations | Pipelines that pass work between your tools automatically |
| Give sales better data | CRM implementation with AI | AI assisted capture, cleaner records and better pipeline visibility |
| Answer site questions automatically | Chatbot | A conversational assistant grounded in your own content |
| Handle inbound calls | AI voice agents and receptionists | Automated call answering with handover to people where needed |
| Delegate bounded tasks | AI agents | Task focused assistants working within defined limits |
| Build a bespoke internal tool | Custom apps | Software shaped around workflows standard products miss |
| Adopt AI responsibly | AI governance | Policy, oversight and controls for AI use across the business |
| Find the right first move | AI readiness assessment | A ranked view of opportunities, gaps and risks |
| Bring the team along | Team AI training | Practical instruction so staff operate new systems confidently |
Use this to frame the first scoping conversation.
Source: Paloren published service ranges
The work, made concrete
Company brain, agents, automation, CRM, voice, chatbots and custom apps
Strategy, governance, readiness and training wrap around every build
One implementation group across all services
Engagements follow a simple arc. A first conversation establishes what you want AI to do and where the friction sits today. If the picture is unclear, an AI readiness assessment runs first and maps your data, tools, skills and risks before anyone writes production code.
From there, scoping converts the priority into a defined build with a budget drawn from Paloren's published ranges and a timeline measured in weeks. Development happens in short cycles, with working software demonstrated as it takes shape rather than revealed at the end.
Because the team builds integrations, agents and automation, your existing platforms stay in place and the new capability plugs into them. Toward the end of a build, developers hand over documentation, run training for the people who will use the system, and set up support so issues have a clear owner after launch.
The result is a process designed for busy operators who need outcomes, not ongoing supervision of a technical team.
The work, made concrete
Assessment first when the starting point is unclear
Short build cycles with working software shown early
Documentation, training and support included at handover
AI development sits at the intersection of several disciplines, and weak projects usually trace back to a gap in one of them. The first skill is systems thinking, meaning the ability to see where work flows through a business and where a model genuinely changes the outcome.
The second is integration craft, because an agent or automation only creates value when it connects cleanly to your CRM, your data sources and your communication tools. The third is evaluation, the discipline of testing whether an AI output is correct and safe before it reaches customers or colleagues.
The fourth is governance, covering access, privacy and the rules that keep AI use accountable. Paloren hires and structures its team around these four areas. Strategy work sets the direction, implementation covers the engineering, and training transfers operating knowledge to your people.
When you compare options for hiring AI developers, ask each candidate or partner to demonstrate all four rather than only code fluency. A developer who can build a demo but cannot wire it into your systems, evaluate it and govern it will leave you with maintenance debt.
The work, made concrete
Systems thinking across how work actually flows
Integration craft with CRM, data and communication tools
Evaluation and governance, not just code fluency
Paloren publishes engagement ranges so budgets can be set before the first call. A first project sits between USD 25,000 and 100,000 and runs two to ten weeks depending on scope.
An AI readiness assessment starts at USD 8,000 over two to three weeks. AI strategy engagements range from USD 12,000 to 25,000 across three to four weeks. The company brain, the largest single build, falls between USD 60,000 and 150,000 over eight to twelve weeks.
AI agents run USD 40,000 to 90,000 across six to ten weeks. Workflow automation sits at USD 15,000 to 60,000 over three to eight weeks. CRM implementation with AI ranges from USD 20,000 to 80,000 across four to ten weeks.
Chatbots cost USD 20,000 to 50,000 over four to eight weeks, and voice agents run USD 25,000 to 60,000 across the same four to eight week window. Custom apps start at USD 40,000.
Ongoing support begins at USD 2,500 per month for ten hours. Where any specific project lands inside its range depends on the number of integrations, the volume of content or data involved, and how much workflow redesign accompanies the technical build.
The work, made concrete
First projects from USD 25,000 to 100,000 over 2 to 10 weeks
Readiness assessments from USD 8,000 over 2 to 3 weeks
Support from USD 2,500 per month for 10 hours
Speed is one of the main reasons businesses choose to hire AI developers rather than recruit. Recruiting a senior AI engineer can consume months before any code exists, and even then the new hire needs context on your systems, your data and your priorities.
Paloren engagements are measured in weeks instead. A readiness assessment completes in two to three weeks, strategy in three to four, and most builds land between three and twelve weeks depending on the service chosen.
The first project band spans two to ten weeks, which covers everything from a focused automation to a multi system implementation. Work begins with a scoping conversation, so the gap between first contact and active development is short.
Delivery happens in cycles with demonstrations along the way, which means usable output appears before the final handover rather than after it. For teams working to a fixed window, such as a quarter end or a platform migration, the schedule can be planned backwards from that date so the system lands when it is needed.
The work, made concrete
Engagements measured in weeks, not recruitment cycles
Assessments in 2 to 3 weeks, strategy in 3 to 4
Demonstrations during the build, not only at handover
An AI readiness assessment is the recommended entry point when a business knows it needs AI but has not settled where to start. Over two to three weeks, starting from USD 8,000, the team examines the raw material every AI build depends on.
That includes the state of your data, the systems in daily use, the workflows that consume the most human hours, the skills already present in your team, and the risks that governance needs to address.
The assessment ends with a report that ranks opportunities by feasibility and impact, flags the gaps that would block a build, and sketches a sequence of projects. Many businesses then move straight into a scoped first project with the same team, which removes the usual gap between diagnosis and delivery.
Others use the report internally to align leadership before committing budget. Either way, the assessment gives you an honest baseline. Skipping it does not stop a project from proceeding, but the developers will spend early build time establishing the same facts, which costs more inside a build than inside an assessment.
The work, made concrete
Data, systems, workflows, skills and risks reviewed in 2 to 3 weeks
Ranked opportunities with a proposed project sequence
Smooth path from assessment into a scoped first build
Paloren combines implementation, workflow design and practical team training. That background shapes how the team works. Developers who have sat inside large organisations understand procurement, legacy systems, compliance conversations and the politics of change, not only the technical layer.
It also explains the service mix: strategy, governance and training sit beside engineering because implementations fail on adoption more often than on code. Paloren serves businesses worldwide, and engagements are run at a company level rather than tied to a physical location.
When you hire AI developers here, you hire that combined operating experience.
The work, made concrete
Co-founded by Aaron Agius and Alex Agius
Paloren combines implementation, workflow design and practical team training.
Every AI system touches sensitive material, whether that is customer records inside a CRM, call recordings feeding a voice agent, or internal documents feeding a company brain.
Paloren treats governance as part of the build rather than an afterthought. Access is scoped so each system sees only the data it needs. Actions taken by agents and automations are logged so humans can review what happened.
Voice agents and chatbots are configured with clear boundaries on what they can promise and when a conversation moves to a person. Where a build handles regulated information, the developers work within the controls your organisation already applies.
AI governance is also available as a standalone service for businesses that have adopted AI tools informally and now need policy, oversight and structure around them. Team AI training reinforces this by teaching staff how to use approved systems and where the limits sit.
The goal is simple: AI that your legal, security and operations leads can all sign off on, running inside systems your teams trust.
The work, made concrete
Scoped access and logged actions on every build
Clear boundaries for voice agents and chatbots
Governance and training available standalone or bundled
Launch is not the end of an engagement. AI systems interact with live data, changing tools and evolving workflows, so Paloren offers ongoing support starting at USD 2,500 per month for ten hours.
Support covers monitoring, adjustments to prompts and logic as your content or processes change, small enhancements, and a responsive channel when something behaves unexpectedly.
Beyond formal support, handover includes documentation and training so your own team can handle routine changes without raising a ticket. Businesses that start with one build often return for the next, and the support arrangement keeps the first system healthy while new work proceeds.
This model suits organisations that want the capability of an AI team on tap without the fixed cost of permanent hires. It also suits teams whose internal engineers focus elsewhere and need a specialist partner to hold the AI layer steady.
Support hours are used flexibly across monitoring and improvement, so the arrangement adapts as the system matures and requirements settle.
The work, made concrete
Support from USD 2,500 per month for 10 hours
Monitoring, prompt adjustments and small enhancements covered
Documentation and training reduce dependence on tickets
Outline the systems, agents or workflows you want built, plus the tools already in use. A short summary is enough to begin.
A working session that defines the build, confirms the engagement type and sets expectations on budget and timeline from the published ranges.
If priorities or data quality are unclear, an AI readiness assessment maps your data, tooling and risk position before development starts.
Developers implement in short cycles, demonstrating working software as integrations, agents and automation take shape inside your environment.
Documentation, team training and an optional support plan from USD 2,500 per month for 10 hours keep the system healthy after launch.
| Engagement | Budget range (USD) | Typical timeline |
|---|---|---|
| First project | USD 25,000 to 100,000 | 2 to 10 weeks |
| 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 |
| 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 |
Published bands for budgeting; final figures are confirmed during scoping.
Paloren published service ranges
| Your goal | Paloren service | What the developers deliver |
|---|---|---|
| Put company knowledge in one place | Company brain | One place where your business knowledge becomes queryable |
| Automate repetitive handoffs | Workflow automation and integrations | Pipelines that pass work between your tools automatically |
| Give sales better data | CRM implementation with AI | AI assisted capture, cleaner records and better pipeline visibility |
| Answer site questions automatically | Chatbot | A conversational assistant grounded in your own content |
| Handle inbound calls | AI voice agents and receptionists | Automated call answering with handover to people where needed |
| Delegate bounded tasks | AI agents | Task focused assistants working within defined limits |
| Build a bespoke internal tool | Custom apps | Software shaped around workflows standard products miss |
| Adopt AI responsibly | AI governance | Policy, oversight and controls for AI use across the business |
| Find the right first move | AI readiness assessment | A ranked view of opportunities, gaps and risks |
| Bring the team along | Team AI training | Practical instruction so staff operate new systems confidently |
Use this to frame the first scoping conversation.
AI readiness assessment report with ranked opportunities
Working AI system deployed inside your environment
Integration and configuration documentation
Team AI training session for the people who will use the system
Governance guidelines covering access, logging and oversight
Support arrangement with a clear channel for issues
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 the decision to hire AI developers around what each engagement stage produces: a signal, a design, a working system and a scaling plan your team can operate.
| Step | Stage | What it changes |
|---|---|---|
| 01 | Signal | Capture the use cases in play, existing systems, CRM data quality, repetitive workflows and which prototypes have stalled without reaching production. |
| 02 | Synthesis | Design the build scope: company brain architecture, agent task boundaries, automation handoffs and the evaluation criteria each component must meet. |
| 03 | System | Connect documents, data sources and tools; test retrieval quality, voice agent call handling, chatbot answers and failure paths before launch. |
| 04 | Scale | Assign owners for monitoring and governance, run team AI training, track adoption and extend one workflow at a time across sales and operations. |
It means engaging a dedicated team that designs and builds AI systems for your business, rather than recruiting individual engineers. Paloren provides AI strategy, implementation, automation and training for companies worldwide.
Engagements are scoped as projects with defined budgets and timelines, from readiness assessments starting at USD 8,000 through to company brains reaching USD 150,000, so you always know the commitment before work begins.
Yes. Most businesses start with one scoped build such as a chatbot, a workflow automation or a CRM implementation, then expand if the results justify it. A first project sits between USD 25,000 and 100,000 over two to ten weeks.
There is no requirement to commit to a long programme, and support afterwards is optional from USD 2,500 per month.
Yes. Integration is central to the service. Workflow automation and integrations connect AI capability to the platforms already running your operations, and CRM implementation with AI works inside your current sales stack.
Not always. If you already know the system you want built, you can move straight to scoping. The assessment, from USD 8,000 over two to three weeks, is most valuable when priorities are unclear, data quality is uncertain or leadership needs evidence before approving budget.
It produces a ranked view of opportunities and a suggested sequence, which then feeds directly into the first build.
Access is scoped so each system only reaches the data it needs, and actions taken by agents and automations are logged for review. Governance is built into every engagement rather than added later, and a standalone AI governance service is available for businesses that need formal policy and oversight.
Where your organisation already applies specific controls, the developers work within them.
No. Paloren works alongside internal teams, taking on the AI specialism while your engineers keep ownership of the wider stack. Some businesses have no technical team at all and use Paloren as their complete implementation capability.
Others pair internal developers with the team so knowledge transfers during the build. Team AI training supports both models by teaching your people to operate what gets delivered.
Paloren combines implementation, workflow design and practical team training. That operating background means builds are shaped by an understanding of how large organisations actually run.
Paloren serves businesses worldwide. Engagements run at a company level, so location does not limit access to the team. Discovery, delivery, training and support are all structured for remote collaboration, with working sessions scheduled around your operating hours.
Wherever you operate, the same service set and the same accountable team stand behind the work.
Reach out with a short outline of the problem and the systems involved. A scoping conversation follows, where the team confirms the engagement type, the applicable range from the published pricing bands and a realistic schedule.
Direction already clear? Scoping starts straight away. Direction uncertain? The readiness assessment creates it. Either way, the first step costs nothing but a conversation.
Ready to hire AI developers for your next build?
Book an AI scoping call
