Custom AI applications designed, built and deployed around your workflows
Paloren designs and builds custom AI applications, agents and internal tools for businesses worldwide. Book an AI readiness conversation today.
Operations, technology and growth leaders who need AI software shaped to their business
Paloren builds custom AI applications for companies worldwide, co-founded by Aaron Agius, an AI implementation consultant, and Alex Agius. Custom builds start from USD 40,000, with discovery, integration, governance and team training included so the software fits how your business runs.
Custom AI means software designed around one company's own workflows, data and rules rather than configured from a generic product. Instead of asking your teams to change how they work so a tool fits, the tool is shaped to fit how they already work.
In practice this covers applications that answer questions from internal knowledge, draft and classify content, read documents, automate multi-step processes, and act through agents or voice interfaces.
Paloren draws a clear line between this and packaged software. Off-the-shelf products assume standard processes, standard data shapes and standard permissions, and most businesses are not standard.
Custom AI can be one focused tool that removes a single bottleneck, or a broader system such as a company brain that connects knowledge across departments. Either way the definition stays the same.
It is built on your data, enforces your rules, and serves the specific people who will open it each morning.
The work, made concrete
Software shaped to your workflows, not templates you bend around
Built on your data, permissions and internal rules
Ranges from one focused tool to a full company brain
Packaged AI products are engineered for the widest possible audience, which means they encode the average company's process and nothing more. When your workflow is a source of advantage, averaging it away is expensive.
Paloren regularly hears the same pattern from teams: a subscription covers part of a task, someone builds a spreadsheet to bridge the gap, and a manual approval step survives because no product handles it.
The result is fragmented work, hidden costs and AI that lives beside the business instead of inside it. Integration is the second failure point. Packaged tools often connect to a CRM or data warehouse in shallow ways, so records still need reconciliation and exports still pile up.
A third issue is governance. Generic products rarely match internal permission structures, which forces security teams to block adoption or accept risk. Custom AI addresses each of these directly because the application is written against your actual process, your systems and your controls.
Paloren combines implementation, workflow design and practical team training. Sometimes a packaged tool is enough, and saying so honestly is part of the service.
| Factor | Why it matters | Effect on the build |
|---|---|---|
| Number of integrations | Each link to a CRM, warehouse or tool needs mapping and testing | More connections extend duration and budget |
| Data readiness | Clean, accessible data shortens discovery and improves output quality | Scattered data adds preparation work first |
| User roles and permissions | Distinct views and approval levels multiply interface and governance work | More roles increase build effort |
| Level of autonomy | Advisory tools need review steps while agents need guardrails and logging | Higher autonomy expands governance scope |
| Breadth of use cases | One workflow builds faster than a platform covering many | Broader scope pushes projects toward the top of the range |
Factors are assessed during discovery and reflected in the scoped proposal.
Source: Paloren published service ranges
| Engagement | Indicative range | Typical duration |
|---|---|---|
| Custom AI application | From USD 40,000 | Scoped per build |
| First project with Paloren | USD 25,000 to 100,000 | 2 to 10 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 |
| Custom chatbot | USD 20,000 to 50,000 | 4 to 8 weeks |
| AI voice agents and receptionists | USD 25,000 to 60,000 | 4 to 8 weeks |
| Company brain | USD 60,000 to 150,000 | 8 to 12 weeks |
| AI readiness assessment | From USD 8,000 | 2 to 3 weeks |
| AI strategy | USD 12,000 to 25,000 | 3 to 4 weeks |
| Ongoing support | From USD 2,500 per month | 10 hours monthly |
published ranges used to frame budget conversations before a scoped proposal.
Source: Paloren published service ranges
The work, made concrete
Generic tools encode average processes, not your advantage
Shallow integrations create reconciliation work and shadow spreadsheets
Permissions rarely match, so security teams block adoption
The build list is broad because workflows differ, but several categories recur. A company brain connects documents, conversations and records into one searchable layer so people stop hunting across drives and inboxes.
AI agents take on multi-step work such as researching, drafting, routing and following up, operating inside defined guardrails. Voice agents and receptionists handle inbound calls, qualify enquiries and book time without holding callers in queues.
Workflow automation and integrations move data between the systems you already pay for, removing copy-paste steps. CRM implementation with AI adds scoring, summarisation and next-action logic to the platform your sales team lives in.
Custom chatbots answer questions on your site or inside your tools using your approved content. Beyond these, Paloren builds custom applications from USD 40,000 for problems that do not fit a category, such as internal approval engines or operations dashboards.
AI governance runs through all of it, defining who can see what, which actions require review and how outputs are logged. Every build starts from the same question: which repeated task, if handed to software, would free the most skilled time? The answer determines what gets built first.
The work, made concrete
Company brain, AI agents, voice agents and custom chatbots
Workflow automation, integrations and CRM implementation with AI
Custom applications from USD 40,000 with governance built in
Each build begins with the workflow, never with the technology. Paloren starts by watching how work actually moves through a team: where handoffs stall, which fields get re-typed, which decisions wait for one busy person.
Discovery draws on the AI readiness assessment, which tests data quality, system access and team habits before anyone commits to a build. From there the work moves into solution design, where the application's scope, model choices, integration points and governance rules are written down and agreed.
Builds then run in short iterations. Rather than disappearing for months and returning with a finished product, Paloren puts working software in front of the people who will use it early, and adjusts based on what they do rather than what they say.
Measurement is part of the method. Accuracy, speed and adoption are tracked against thresholds set during design, so the conversation stays factual. The final phase is handover: documentation, team training and a support arrangement that keeps the application healthy after launch.
The work, made concrete
Start from the workflow, not the technology
Short iterations with working software in users' hands early
Accuracy, speed and adoption measured against agreed thresholds
Paloren was co-founded by Aaron Agius and Alex Agius, and the pair lead the work personally. That publishing record matters less than what it reflects: a career spent explaining complex systems in plain language, which is exactly what custom AI demands.
Paloren combines implementation, workflow design and practical team training. That mix matters for custom software because enterprise-scale work has unforgiving requirements around security, reporting and change management.
The team serves businesses worldwide, working with leadership, operations and technology groups who need software that matches the way their organisation actually runs rather than the way a product manual assumes it runs.
The work, made concrete
Co-founded by Aaron Agius and Alex Agius
Aaron co-authored Faster, Smarter, Louder and publishes with Entrepreneur, Salesforce, HubSpot and the Forbes Agency Council
Team experience spans IBM, Ford, LG, Unilever, Jaguar and Chelsea FC
Custom applications start from USD 40,000, and most first projects with Paloren land between USD 25,000 and 100,000 over two to ten weeks. Where a build sits in that band comes down to scope.
A single tool with one integration and a small user group sits near the floor. Applications that connect several systems, serve multiple roles or include autonomous agents move toward the upper end.
Adjacent modules carry their own ranges: AI agents run USD 40,000 to 90,000, workflow automation and integrations USD 15,000 to 60,000, CRM implementation with AI USD 20,000 to 80,000, custom chatbots USD 20,000 to 50,000, and voice agents or receptionists USD 25,000 to 60,000.
A company brain, the broadest build, ranges from USD 60,000 to 150,000 over eight to twelve weeks. Ongoing support starts at USD 2,500 per month for ten hours. Paloren treats these figures as framing, not quotes.
A scoped proposal follows discovery, once the integrations, data condition and user roles are known. That sequence protects both sides: budgets get set against real requirements, and nobody commits to a number before the work is understood.
The work, made concrete
Custom applications from USD 40,000
First projects typically USD 25,000 to 100,000 over 2 to 10 weeks
Support from USD 2,500 per month for 10 hours
First projects with Paloren run two to ten weeks, and the spread reflects how much a build touches. A focused application with one integration can reach users inside a month.
Platforms that connect several systems, carry multiple user roles or include governed agent behaviour need the longer end of that range.
Individual build types have their own patterns: AI agents take six to ten weeks, workflow automation and integrations three to eight weeks, CRM implementation with AI four to ten weeks, custom chatbots four to eight weeks, voice agents and receptionists four to eight weeks, and a company brain eight to twelve weeks.
Work that precedes the build has fixed shapes too. An AI readiness assessment runs two to three weeks, and an AI strategy engagement runs three to four weeks. Duration also shifts with what happens on your side of the table.
Access to systems, timely decisions and available subject-matter experts shorten timelines more than any technical factor. Paloren sets the schedule during solution design and reports progress against it, so a two-week slip is visible in week three rather than discovered at the deadline.
The work, made concrete
First projects run 2 to 10 weeks end to end
Company brain builds take 8 to 12 weeks, agents 6 to 10
Readiness assessments complete in 2 to 3 weeks before a build
Custom AI creates value through connection, not isolation. An application that cannot read your CRM, query your documents or write back to your tools becomes another silo with a smarter interface.
Paloren treats integration as a first-class part of every build. Workflow automation and integrations, priced from USD 15,000 to 60,000 over three to eight weeks as a standalone service, are embedded within custom applications as a matter of course.
Common connection points include CRM platforms, data warehouses, communication tools and document stores. CRM implementation with AI deserves special mention because sales and service teams feel integration failures first.
When scoring, summarisation or next-action logic sits inside the CRM your teams already open each morning, adoption follows naturally. The company brain represents the deepest version of this thinking: a layer that connects knowledge across departments so a question asked once returns an answer drawn from every relevant source.
Integration work also carries governance weight. Each connection defines what data moves, who can trigger it and how activity is logged, and those decisions are documented during design.
Built this way, custom AI strengthens the systems you already run instead of competing with them.
The work, made concrete
Integrations with CRM platforms, data warehouses and communication tools
Workflow automation embedded in every build, not bolted on
Each connection documented for data flow, permissions and logging
Launch is a milestone, not a finish line. Software that touches real operations needs attention as data shifts, teams change and the business grows. Paloren offers ongoing support from USD 2,500 per month for ten hours, covering monitoring, adjustments and small enhancements as patterns emerge.
Handover happens deliberately: documentation describes how the application works, how integrations behave and how governance rules are enforced, so your team is never dependent on tribal knowledge.
Team AI training is part of the engagement, giving the people who use the software daily the confidence to question outputs, escalate issues and suggest improvements. Governance continues after launch as well.
Access reviews, output logging and escalation paths need owners inside your business, and Paloren helps assign and document them. Over time, many builds earn a second phase.
An application that performs well on one workflow often becomes the template for the next, and the integrations built once get reused. That compounding is where custom AI separates from one-off tool purchases: each addition strengthens the foundation rather than starting from zero.
The aim is an asset your company owns and extends, not a subscription you rent.
The work, made concrete
Support from USD 2,500 per month for 10 hours
Documentation and team AI training at handover
Governance owners assigned for access, logging and escalation
The honest test has three parts. First, repetition: is the task performed often enough that saved minutes multiply into meaningful capacity? Second, data: does the information the software needs already exist somewhere accessible, or would collecting it become a project of its own?
Third, fit: does the workflow differ enough from standard processes that packaged tools leave a permanent gap? If a subscription product covers the task well, Paloren will say so, because forcing a custom build where one is unnecessary wastes budget and credibility.
When the answer points toward custom work, the AI readiness assessment is the right entry point. It costs from USD 8,000, runs two to three weeks, and examines data quality, system access, security posture and team habits.
The output is a grounded view of what to build first and what to fix before building. For leadership teams weighing direction rather than a single tool, an AI strategy engagement runs USD 12,000 to 25,000 over three to four weeks and sets priorities across the organisation.
Both paths end in the same place: a decision made on evidence, with costs and timelines written down before commitment.
The work, made concrete
Test for repetition, accessible data and workflow fit
Readiness assessment from USD 8,000 over 2 to 3 weeks
Strategy engagements run USD 12,000 to 25,000 over 3 to 4 weeks
Map the workflows, data sources and constraints, and confirm with an AI readiness assessment whether custom AI is the right investment.
Define the application scope, model choices, integration points and governance rules, then agree the schedule and budget in writing.
Develop in short cycles with working software in users' hands early, connecting the CRM, data stores and communication tools as each piece matures.
Run the application on live tasks while tracking accuracy, speed and adoption against thresholds set during design.
Deploy, deliver documentation and team AI training, then keep the application healthy with support from USD 2,500 per month for 10 hours.
| Factor | Why it matters | Effect on the build |
|---|---|---|
| Number of integrations | Each link to a CRM, warehouse or tool needs mapping and testing | More connections extend duration and budget |
| Data readiness | Clean, accessible data shortens discovery and improves output quality | Scattered data adds preparation work first |
| User roles and permissions | Distinct views and approval levels multiply interface and governance work | More roles increase build effort |
| Level of autonomy | Advisory tools need review steps while agents need guardrails and logging | Higher autonomy expands governance scope |
| Breadth of use cases | One workflow builds faster than a platform covering many | Broader scope pushes projects toward the top of the range |
Factors are assessed during discovery and reflected in the scoped proposal.
Paloren published service ranges
| Engagement | Indicative range | Typical duration |
|---|---|---|
| Custom AI application | From USD 40,000 | Scoped per build |
| First project with Paloren | USD 25,000 to 100,000 | 2 to 10 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 |
| Custom chatbot | USD 20,000 to 50,000 | 4 to 8 weeks |
| AI voice agents and receptionists | USD 25,000 to 60,000 | 4 to 8 weeks |
| Company brain | USD 60,000 to 150,000 | 8 to 12 weeks |
| AI readiness assessment | From USD 8,000 | 2 to 3 weeks |
| AI strategy | USD 12,000 to 25,000 | 3 to 4 weeks |
| Ongoing support | From USD 2,500 per month | 10 hours monthly |
published ranges used to frame budget conversations before a scoped proposal.
Custom AI application deployed and connected to your systems
Governance rules, access controls and activity logging documented
Team AI training sessions and written handover materials
Integration map covering CRM, data stores and communication tools
Support arrangement with defined monthly 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.
Custom AI is software built for one company's specific workflows, data and rules rather than configured from a generic product. Paloren builds applications that answer questions from internal knowledge, automate multi-step processes, act through agents or voice, and connect to the systems a business already runs.
The goal is software shaped to how your teams work, not teams reshaped to suit a tool.
Custom applications from Paloren start at USD 40,000, and most first projects fall between USD 25,000 and 100,000 over two to ten weeks. Related builds carry their own ranges, including AI agents at USD 40,000 to 90,000 and workflow automation at USD 15,000 to 60,000.
Final pricing follows discovery, once integrations, data condition and user roles are known.
First projects with Paloren run two to ten weeks, with scope setting the pace. A focused tool with one integration can reach users within a month, while a company brain takes eight to twelve weeks.
AI agents need six to ten weeks, and workflow automation three to eight. Timelines shorten when system access and decisions arrive quickly from your side.
Yes. Integration is a core part of every Paloren build, covering CRM platforms, data warehouses, communication tools and document stores. The aim is for the application to read from and write back to the systems your teams already rely on, so adoption feels natural.
Each connection is documented during design, defining what data moves, who can trigger it and how activity is logged.
An assessment is the recommended starting point because it tests data quality, system access, security posture and team habits before budget is committed. It runs two to three weeks and costs from USD 8,000.
The output shows what to build first and what to fix beforehand. Teams with a clear, scoped problem can move straight to a proposal instead.
A chatbot is one application type, answering questions in conversation using approved content, with builds from Paloren ranging USD 20,000 to 50,000 over four to eight weeks.
Custom AI is the wider category. It includes agents that complete multi-step work, voice receptionists, workflow automation, company brain systems and bespoke applications. A chatbot can be part of a custom build, but rarely the whole of it.
Paloren offers ongoing support from USD 2,500 per month for ten hours, covering monitoring, adjustments and small enhancements as usage patterns emerge. Handover includes documentation and team AI training so your people can operate the application day to day.
Governance continues too, with access reviews, output logging and escalation paths assigned to named owners inside your business.
Paloren serves businesses worldwide and works with leadership, operations and technology teams wherever they sit. The same delivery standard applies wherever you operate.
Pricing is quoted in USD, and ranges are published openly so budget conversations start from shared numbers.
Work is led personally by co-founders Aaron Agius and Alex Agius. Paloren combines implementation, workflow design and practical team training.
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