AI product development services that turn strategy into working software
Paloren provides AI product development services worldwide: AI agents, company brains, voice agents and custom apps, with strategy, training and support.
Founders, operations leaders and technology teams planning to build AI-powered products
Paloren provides AI product development services for companies worldwide, turning strategy into working software such as AI agents, company brains, voice agents and custom apps. Projects range from USD 25k to 100k over 2 to 10 weeks, with training and support included.
AI product development services cover the design, build and launch of software that uses artificial intelligence to perform real work. That work can include answering questions from company knowledge, handling inbound calls, automating repetitive processes, analysing records and supporting decisions.
The difference between this and buying an off-the-shelf tool is fit: the product is shaped around how a specific business operates rather than forcing the business to adapt to generic software.
Paloren provides AI strategy, implementation, automation and training for companies worldwide, and product development sits at the implementation end of that range.
A single engagement can produce a company brain, AI agents, voice agents and receptionists, chatbots, CRM implementation with AI, workflow automation and integrations, or a fully custom app.
Projects usually begin with strategy and a readiness check so the product targets the right problem, then move through build, integration, training and support. Paloren combines implementation, workflow design and practical team training.
A first project typically falls between USD 25k and 100k and runs 2 to 10 weeks from kickoff to launch.
The work, made concrete
Covers strategy, build, integration, training and support in one engagement
Product types include company brains, agents, voice receptionists, chatbots and custom apps
First projects typically run USD 25k to 100k over 2 to 10 weeks
Building before thinking is the most common way AI projects stall. Strategy decides which problem is worth solving, what data already exists, which systems must connect and how people will actually use the product.
Paloren treats strategy as its own engagement, priced from USD 12k to 25k over 3 to 4 weeks, and an AI readiness assessment from USD 8k over 2 to 3 weeks can run before it.
The sequence matters because AI products depend on data quality, permissions and process clarity far more than on the choice of model. Governance is planned at this stage too, covering who can access what and how outputs get reviewed.
Companies that skip this groundwork often rebuild; companies that spend a few weeks on it usually ship once and keep iterating.
| Service | What it covers | Typical investment | Typical timeline |
|---|---|---|---|
| AI readiness assessment | Baseline of data, tools, skills and risks | From USD 8k | 2-3 weeks |
| AI strategy | Use cases, architecture and delivery roadmap | USD 12k-25k | 3-4 weeks |
| Company brain | Central knowledge system for the business | USD 60k-150k | 8-12 weeks |
| AI agents | Autonomous assistants for defined tasks | USD 40k-90k | 6-10 weeks |
| Workflow automation and integrations | Connections across existing tools and processes | USD 15k-60k | 3-8 weeks |
| CRM implementation with AI | CRM configured with AI-driven workflows | USD 20k-80k | 4-10 weeks |
| AI chatbots | Written conversational products for staff and teams | USD 20k-50k | 4-8 weeks |
| AI voice agents and receptionists | Call answering, routing and booking by voice | USD 25k-60k | 4-8 weeks |
| Custom apps | Purpose-built AI software for unique workflows | From USD 40k | Scoped per build |
| Ongoing support | Monitoring, fixes and improvements | From USD 2,500/mo for 10 hrs | Monthly |
First projects typically fall between USD 25k and 100k over 2 to 10 weeks.
Source: Paloren published service ranges
| Stage | Focus | Output |
|---|---|---|
| Readiness assessment | Data, tools, skills and risks | Assessment report with priorities |
| Strategy | Product definition, architecture and sequence | Roadmap with scoped investment |
| Build | Product development in agreed stages | Working product tested on real work |
| Integration | Connections to CRM, data and tools | Automated workflows across systems |
| Training | Team enablement and governance | Trained staff with usage guides |
| Support | Monitoring, tuning and iteration | Monthly hours and improvement roadmap |
Stages can overlap; readiness and strategy precede any build work.
Source: Paloren published service ranges
The work, made concrete
Readiness assessment from USD 8k over 2 to 3 weeks
Strategy engagement USD 12k to 25k over 3 to 4 weeks
Governance and access rules set before build begins
Paloren builds a defined set of AI products, and most engagements combine several of them. A company brain acts as the central knowledge system for the business, holding documents, records and answers in one place, and ranges from USD 60k to 150k over 8 to 12 weeks.
AI agents handle defined tasks on their own, such as qualifying records or preparing summaries, and range from USD 40k to 90k over 6 to 10 weeks. AI voice agents and receptionists answer and route calls, with pricing from USD 25k to 60k over 4 to 8 weeks.
Chatbots handle written conversations with staff or audiences, from USD 20k to 50k over 4 to 8 weeks. Workflow automation and integrations connect the tools a business already runs, from USD 15k to 60k over 3 to 8 weeks.
CRM implementation with AI embeds intelligence directly into sales and service processes, from USD 20k to 80k over 4 to 10 weeks. Custom apps, built when no existing pattern fits, start from USD 40k.
Because these products share data and infrastructure, Paloren usually recommends starting with the one that unlocks the others, then expanding in planned releases.
The work, made concrete
Company brain from USD 60k to 150k over 8 to 12 weeks
AI agents from USD 40k to 90k, voice agents from USD 25k to 60k
Custom apps start from USD 40k when no existing pattern fits
Aaron Agius co-founded Paloren and leads its product direction. Paloren combines implementation, workflow design and practical team training. This background matters for product development specifically.
AI products fail when they are built as demonstrations rather than operational software, and the Paloren team has spent its career inside environments where systems had to work every day.
The same people who set strategy stay involved through build, integration, training and support, so decisions made early carry through to launch. Engagements are delivered for businesses worldwide, with pricing quoted in USD and timelines agreed before work begins.
The work, made concrete
Co-author of Faster, Smarter, Louder, published in 2019
Team experience inside IBM, Ford, LG, Unilever, Jaguar and Chelsea FC
Costs follow the type of product and the amount of integration it needs. A first project with Paloren typically falls between USD 25k and 100k and runs 2 to 10 weeks.
Within that span, workflow automation and integrations range from USD 15k to 60k over 3 to 8 weeks, chatbots from USD 20k to 50k over 4 to 8 weeks, AI voice agents and receptionists from USD 25k to 60k over 4 to 8 weeks, AI agents from USD 40k to 90k over 6 to 10 weeks and company brains from USD 60k to 150k over 8 to 12 weeks.
CRM implementation with AI sits between USD 20k and 80k over 4 to 10 weeks, and custom apps start from USD 40k. Work that precedes the build is priced separately: an AI readiness assessment starts from USD 8k over 2 to 3 weeks and AI strategy runs USD 12k to 25k over 3 to 4 weeks.
Ongoing support starts at USD 2,500 per month for 10 hours. The main cost drivers are the number of systems to connect, how much data needs structuring and how many workflows the product must handle at launch.
The work, made concrete
First projects USD 25k to 100k over 2 to 10 weeks
Support from USD 2,500 per month for 10 hours
Integration scope and data preparation are the main cost drivers
Timelines depend on product type, but a first project with Paloren generally completes in 2 to 10 weeks. The stages inside that window have their own ranges. An AI readiness assessment takes 2 to 3 weeks and AI strategy takes 3 to 4 weeks, and these can overlap with early scoping.
Build times then vary by product: workflow automation and integrations take 3 to 8 weeks, chatbots 4 to 8 weeks, AI voice agents and receptionists 4 to 8 weeks, CRM implementation with AI 4 to 10 weeks, AI agents 6 to 10 weeks and company brains 8 to 12 weeks.
Custom apps are scoped individually once requirements are clear. Two factors stretch timelines most: the number of systems that need connecting and the state of the underlying data.
Businesses that complete a readiness assessment first usually move faster overall, because surprises surface before build rather than during it. Paloren agrees the schedule during strategy, so the launch date is known before development starts, and progress is reviewed at each stage rather than only at the end.
The work, made concrete
Readiness 2 to 3 weeks, strategy 3 to 4 weeks
Company brains take 8 to 12 weeks, AI agents 6 to 10
Schedule agreed during strategy, before development starts
An AI product only creates value when it reaches the systems where work already happens. Paloren treats integration as a first-class part of development rather than a final step.
Workflow automation and integrations, priced from USD 15k to 60k over 3 to 8 weeks, connect the product to the tools a business runs daily. CRM implementation with AI, from USD 20k to 80k over 4 to 10 weeks, embeds intelligence into sales and service workflows.
A company brain pulls scattered knowledge into one structured system that other products can draw on. Where a business uses well-established tools, Paloren builds on them rather than replacing them, so teams keep familiar interfaces and the AI product adds capability on top.
Integration scope is one of the largest influences on both price and timeline.
The work, made concrete
Workflow automation and integrations from USD 15k to 60k over 3 to 8 weeks
CRM implementation with AI from USD 20k to 80k over 4 to 10 weeks
Existing tools are built on, not replaced
Launch is the midpoint of an AI product, not the finish. Paloren offers ongoing support from USD 2,500 per month for 10 hours, covering monitoring, fixes, tuning and small improvements as real usage reveals edge cases.
Support works alongside team AI training, which prepares staff to use the product correctly and spot where workflows could extend further. AI governance continues after launch as well, keeping access rules, review processes and safe-use practices current as the product takes on more responsibility.
Products are built to iterate: the first release validates the core workflow, later releases add tasks, connections and interfaces based on what usage shows. This structure reflects how the Paloren team operated inside large organisations, where systems are expected to keep running and improving rather than being rebuilt.
Businesses that plan for iteration from the start usually find their second release cheaper and faster than the first, because the data structure and integrations already exist.
Support hours can scale up as the product expands, and the roadmap for future releases is agreed together.
The work, made concrete
Support from USD 2,500 per month for 10 hours
Team AI training and AI governance continue after launch
Later releases add tasks and connections on the same foundations
Starting is a short process. It begins with a conversation about the product you have in mind: the workflow it should improve, the systems it should touch and the outcome that would make it worthwhile.
From there, Paloren usually recommends an AI readiness assessment, from USD 8k over 2 to 3 weeks, unless the business already has a clear picture of its data and tools. Strategy follows, at USD 12k to 25k over 3 to 4 weeks, producing a roadmap that names the product, the sequence of releases and the investment for each.
Build then proceeds in agreed stages, with integration, training and support planned from the outset. Paloren serves businesses worldwide and delivers engagements remotely, so location does not affect how a project runs, and all pricing is quoted in USD.
The fastest way to begin is to describe the problem rather than the technology: the team can then match it to the right product type, whether that is an agent, a company brain, a voice receptionist or a custom app.
The work, made concrete
Start with a conversation about the workflow, not the technology
Readiness assessment from USD 8k, strategy USD 12k to 25k
Worldwide delivery, pricing quoted in USD
Describe the workflow, gap or product idea in an introductory conversation with Paloren.
Run an AI readiness assessment, from USD 8k over 2 to 3 weeks, to baseline data, tools, skills and risks before committing to a build.
Approve an AI strategy, USD 12k to 25k over 3 to 4 weeks, naming the product, the release sequence and the investment for each stage.
Develop the product in agreed stages, connect it to CRM and other systems and test it on live work.
Train the team, apply governance and keep improving with support from USD 2,500 per month for 10 hours.
| Service | What it covers | Typical investment | Typical timeline |
|---|---|---|---|
| AI readiness assessment | Baseline of data, tools, skills and risks | From USD 8k | 2-3 weeks |
| AI strategy | Use cases, architecture and delivery roadmap | USD 12k-25k | 3-4 weeks |
| Company brain | Central knowledge system for the business | USD 60k-150k | 8-12 weeks |
| AI agents | Autonomous assistants for defined tasks | USD 40k-90k | 6-10 weeks |
| Workflow automation and integrations | Connections across existing tools and processes | USD 15k-60k | 3-8 weeks |
| CRM implementation with AI | CRM configured with AI-driven workflows | USD 20k-80k | 4-10 weeks |
| AI chatbots | Written conversational products for staff and teams | USD 20k-50k | 4-8 weeks |
| AI voice agents and receptionists | Call answering, routing and booking by voice | USD 25k-60k | 4-8 weeks |
| Custom apps | Purpose-built AI software for unique workflows | From USD 40k | Scoped per build |
| Ongoing support | Monitoring, fixes and improvements | From USD 2,500/mo for 10 hrs | Monthly |
First projects typically fall between USD 25k and 100k over 2 to 10 weeks.
Paloren published service ranges
| Stage | Focus | Output |
|---|---|---|
| Readiness assessment | Data, tools, skills and risks | Assessment report with priorities |
| Strategy | Product definition, architecture and sequence | Roadmap with scoped investment |
| Build | Product development in agreed stages | Working product tested on real work |
| Integration | Connections to CRM, data and tools | Automated workflows across systems |
| Training | Team enablement and governance | Trained staff with usage guides |
| Support | Monitoring, tuning and iteration | Monthly hours and improvement roadmap |
Stages can overlap; readiness and strategy precede any build work.
A working AI product deployed and tested on real work
Documented architecture covering data flows, models and integrations
Team AI training with practical usage guides
Governance rules for access, review and safe use
A support plan starting from USD 2,500 per month for 10 hours
A roadmap for future releases and additional workflows
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 sequences AI product development so strategy precedes code: readiness checks, workflow validation and governance come before agents, company brains or voice products are built.
| Step | Stage | What it changes |
|---|---|---|
| 01 | Signal | Run the AI readiness assessment, listing which systems hold data, which calls and records repeat, and which processes staff still perform manually. |
| 02 | Synthesis | Produce the strategy engagement: the problem worth solving, data quality findings, permissions model, governance rules for output review, and the chosen product shape. |
| 03 | System | Build the company brain, AI agent or voice receptionist, connect CRM and existing systems, and test real inbound calls and missing-data failure paths. |
| 04 | Scale | Train the operations team, track launch metrics such as call handling and record accuracy, then extend one workflow at a time with support from Paloren. |
The service covers the path from idea to working software: strategy, product design, build, integration with existing systems, team training and ongoing support. Paloren builds company brains, AI agents, voice agents and receptionists, chatbots, CRM implementations with AI, workflow automation and custom apps.
A first project typically ranges from USD 25k to 100k and runs 2 to 10 weeks depending on scope.
First projects typically fall between USD 25k and 100k over 2 to 10 weeks. The range reflects product type and complexity: workflow automation starts at USD 15k, chatbots at USD 20k, voice agents at USD 25k, AI agents at USD 40k and custom apps from USD 40k.
Scope is defined during strategy, so the investment is agreed before build begins.
Yes. Integration is a core part of the service, with workflow automation and integrations ranging from USD 15k to 60k over 3 to 8 weeks. Existing tools stay in place while the product adds capability across them.
A company brain is a central knowledge system that holds business information and answers questions from it, so teams stop searching across disconnected documents and tools.
Paloren builds company brains from USD 60k to 150k over 8 to 12 weeks, including data structure, access rules and interfaces. It often becomes the foundation that AI agents and chatbots draw on.
It is the recommended starting point when data, tools or skills are untested. The AI readiness assessment runs from USD 8k over 2 to 3 weeks and produces a clear picture of where the business stands, what can be built now and what needs preparation first.
Companies with mature systems can move straight to strategy, which runs USD 12k to 25k over 3 to 4 weeks.
Ongoing support starts at USD 2,500 per month for 10 hours, covering monitoring, fixes, tuning and small improvements as real usage reveals edge cases. Support pairs with team AI training and AI governance so staff use the product correctly and access stays controlled.
Hours can scale as the product takes on more work across the business.
Paloren combines implementation, workflow design and practical team training.
Paloren serves businesses worldwide and delivers engagements remotely, so location does not limit a project. Availability is described at a country level rather than through offices or cities.
Engagements run from readiness assessment through build, training and support, with all pricing quoted in USD regardless of where the business operates.
A first project generally completes in 2 to 10 weeks. Within that window, readiness takes 2 to 3 weeks, strategy 3 to 4 weeks, workflow automation 3 to 8 weeks, chatbots and voice agents 4 to 8 weeks each, CRM implementations 4 to 10 weeks, AI agents 6 to 10 weeks and company brains 8 to 12 weeks. Custom apps are scoped individually.
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