AI virtual agents that plan, act and finish work inside your systems
Paloren builds AI virtual agents for companies worldwide, co-founded by Aaron Agius. Strategy, build, integration and training from one team.
Operations, service and growth leaders who want digital workers handling repetitive customer and internal tasks
Paloren builds AI virtual agents that answer questions, complete tasks and hand work to your systems without constant supervision. The firm is co-founded by Aaron Agius, an AI implementation consultant, and Alex Agius.
Engagements start with a readiness assessment from USD 8k, and agent builds typically run USD 40k-90k over 6-10 weeks.
An AI virtual agent is software that behaves like a capable team member rather than a script. It reads an incoming request, works out what is actually being asked, checks your knowledge and systems, then carries out the steps needed to resolve it.
That might mean answering a detailed product question, updating a record, triggering a workflow, drafting a follow-up or escalating to a person when judgement is required.
Paloren builds these agents on top of a company brain, a central knowledge layer that keeps every response aligned with your policies, data and tone of voice. The agent is also connected to the tools where work happens, so it does not just talk about tasks, it completes them.
The result for your business is capacity that operates around the clock, responds consistently and documents everything it does. Rather than replacing your processes, the agent slots into them, following the rules you set and handing over to staff whenever a situation needs human oversight.
The work, made concrete
Agents interpret requests, plan steps and complete tasks, not just reply
A company brain grounds every response in your policies and data
Escalation to people is built in for judgement calls
Paloren provides AI strategy, implementation, automation and training for companies worldwide, and virtual agents sit at the centre of that work. The firm is co-founded by Aaron Agius and Alex Agius.
Paloren combines implementation, workflow design and practical team training. When you engage Paloren, you work with operators who have carried the same accountability you carry, and who build agents to survive contact with real workloads.
The work, made concrete
Co-founded by Aaron Agius, an AI implementation consultant, and Alex Agius
Paloren combines implementation, workflow design and practical team training.
| Engagement | Typical range | Typical timeline |
|---|---|---|
| AI virtual agents | USD 40k-90k | 6-10 weeks |
| AI voice agents and receptionists | USD 25k-60k | 4-8 weeks |
| Chatbot builds | USD 20k-50k | 4-8 weeks |
| Workflow automation and integrations | USD 15k-60k | 3-8 weeks |
| CRM implementation with AI | USD 20k-80k | 4-10 weeks |
| Company brain | USD 60k-150k | 8-12 weeks |
| Ongoing support | From USD 2,500 per month | 10 hours monthly |
Final pricing is set after the readiness assessment and strategy phases confirm scope.
Source: Paloren published service ranges
| Option | What it does | Best fit |
|---|---|---|
| AI virtual agent | Plans and completes multi-step tasks across your systems | Customer operations and internal workflows |
| Chatbot | Answers common questions on a single channel | High-volume simple queries |
| AI voice agent | Handles calls, routes requests and books actions | Phone lines and reception |
| Company brain | Central knowledge layer that grounds every answer | Accuracy across all agents |
| Workflow automation | Moves data between tools on triggers | Repetitive handoffs between systems |
| Custom apps | Purpose-built software when existing tools fall short | Unique processes and gaps |
Many programmes combine an agent with automation and a company brain for grounded answers.
Source: Paloren published service ranges
The practical answer is repetitive work that follows patterns but still needs understanding. On the customer side, virtual agents answer questions about products, policies and orders, qualify incoming leads, book meetings and keep conversations moving outside business hours.
On the operational side, they update CRM records after every interaction, summarise calls, draft responses for review, chase missing information and route requests to the right person with context attached.
Internally, they act as a first line for policy questions, onboarding checklists and document searches, which reduces the interruptions your specialists face every day.
Paloren shapes each agent around the workflows that cost you the most time, then connects it through workflow automation and integrations so actions actually happen in your systems.
Because the firm also delivers CRM implementation with AI, the agent and your CRM can be designed together, which avoids the friction of bolting one onto the other. Every use case is scoped during strategy, so you launch with a narrow, high-value remit first and expand the agent's responsibilities as trust and results grow.
The work, made concrete
Answer customer questions, qualify leads and book meetings around the clock
Update CRM records, summarise calls and route requests with context
Handle internal policy questions, onboarding and document searches
A chatbot is built to reply. It matches a question to an answer, often from a fixed set of scripts or retrieved documents, and stops there. A virtual agent is built to finish.
It interprets the request, plans the steps, uses your tools, checks the outcome and continues until the job is done or a person needs to step in. That difference shows up in scope and price.
Paloren chatbot builds run USD 20k-50k over 4-8 weeks and suit teams that mainly need accurate answers on one channel. Agent builds run USD 40k-90k over 6-10 weeks because they include planning logic, system access, guardrails and testing across real workflows.
Voice adds another dimension: AI voice agents and receptionists, USD 25k-60k over 4-8 weeks, handle live calls with the same grounding. Many organisations start with a chatbot for front-line questions and grow into a full agent once they see the demand.
Paloren will tell you honestly which option fits, because over-building an agent for simple answer traffic wastes budget, while under-building one for real task work creates frustration.
The work, made concrete
Chatbots reply to questions; agents finish multi-step work
Agent builds include planning logic, tool access, guardrails and testing
Chatbot builds run USD 20k-50k while agent builds run USD 40k-90k
An agent creates value only when it can act where your work lives. Paloren connects virtual agents to CRM platforms so conversations become records, follow-ups and pipeline updates without anyone retyping anything.
Workflow automation and integrations let the agent hand tasks to your other software, from ticketing to billing, and pick up results in return. A company brain sits underneath as the knowledge layer, giving the agent one trusted source for policies, product details and procedures instead of leaving it to guess.
Where phone contact matters, AI voice agents and receptionists extend the same capability to live calls. And when your process needs software that does not exist yet, Paloren builds custom apps from USD 40k so the agent has a proper home for the work.
Integration design happens during strategy, not as an afterthought, because the systems an agent can reach define what it can actually do. Access is deliberately scoped: the agent is scoped to the permissions it needs, and its actions are logged for audit so your team can audit behaviour at any time.
The work, made concrete
CRM connections turn conversations into records and follow-up tasks
Workflow automation lets the agent act across your software stack
A company brain gives one trusted source for every answer
Delivery follows a staged path designed to remove risk before spend scales. It starts with an AI readiness assessment, from USD 8k over 2-3 weeks, which examines your data quality, systems, workflows and governance posture.
Strategy comes next, USD 12k-25k over 3-4 weeks, and turns findings into a defined agent remit: which tasks it owns, which systems it touches, what it must never do and how success will be measured.
The build itself runs USD 40k-90k over 6-10 weeks, covering planning logic, integrations, guardrails and testing against realistic scenarios. A controlled pilot follows, running the agent on live but bounded work so performance is proven before full release.
Team AI training runs alongside, preparing your people to supervise, correct and direct the agent day to day. Launch is deliberately unglamorous: the agent goes live on its agreed channels with monitoring in place, and support from USD 2,500 per month for 10 hours keeps it tuned as your business changes.
Each stage produces a decision point, so you never commit to the next phase without seeing evidence from the last.
The work, made concrete
Readiness assessment confirms data, systems and risks before any build
Strategy fixes the agent remit, guardrails and success measures
Pilot, training and staged launch precede full release
Virtual agent builds at Paloren typically run USD 40k-90k over 6-10 weeks, with the final figure driven by how many tasks the agent owns, how many systems it must reach and how much custom logic the workflows require.
For context, most first projects with Paloren land between USD 25k and 100k over 2-10 weeks overall. Adjacent options shift the number: a chatbot build runs USD 20k-50k over 4-8 weeks, an AI voice agent runs USD 25k-60k over 4-8 weeks, and workflow automation runs USD 15k-60k over 3-8 weeks.
If your CRM needs work before an agent can rely on it, CRM implementation with AI runs USD 20k-80k over 4-10 weeks. After launch, support starts at USD 2,500 per month for 10 hours of monitoring, tuning and improvements.
The sequence matters as much as the totals: spending on readiness first, from USD 8k, prevents the most expensive failure mode, which is building an agent on top of unclear processes or unreliable data.
The work, made concrete
Agent builds typically run USD 40k-90k over 6-10 weeks
Voice agent builds run USD 25k-60k over 4-8 weeks
Support starts at USD 2,500 per month for 10 hours
Timelines follow the same staged structure as the pricing. A readiness assessment takes 2-3 weeks. Strategy takes 3-4 weeks. The agent build and pilot then take 6-10 weeks, which means a straightforward path from first review to a live agent runs roughly three to four months end to end.
Dependencies can stretch that. If a company brain must be built first to give the agent reliable knowledge, that layer takes 8-12 weeks at USD 60k-150k. If CRM foundations need repair, add the 4-10 week CRM implementation window before the agent phase begins.
Voice deployments follow their own 4-8 week build once scope is set. Paloren manages these sequences deliberately rather than promising a single compressed date, because an agent launched on shaky foundations costs more to fix than it saved.
During strategy you receive a schedule with named dependencies, so you know exactly which decision or data set controls each date. Teams that prepare their documentation and system access early tend to move through every stage faster.
The work, made concrete
Readiness takes 2-3 weeks and strategy takes 3-4 weeks
Build and pilot add 6-10 weeks for most agents
A company brain first adds 8-12 weeks when needed
Accuracy and control come from structure, not hope. Paloren grounds every virtual agent in a company brain, so answers draw from approved knowledge rather than general training data.
Guardrails defined during strategy set hard boundaries: what the agent may decide alone, what requires human approval and which actions are off limits entirely. AI governance then covers the operational side, including access controls, privacy handling, audit trails and periodic review of how the agent is performing.
Escalation paths are built in from the start, so unusual, sensitive or high-value situations reach a person with full context attached. Monitoring tracks where the agent struggled, which questions it deflected and where its confidence dipped, and that evidence feeds regular tuning.
Team AI training closes the loop by teaching your staff to read agent behaviour, correct course and spot when a workflow should change rather than the agent. The goal is an agent that earns trust through documented behaviour, and a team confident enough to expand what it handles.
The work, made concrete
Guardrails define what the agent may decide alone
AI governance covers access, privacy and audit trails
Team AI training prepares staff to supervise and steer agents
A 2-3 week review, from USD 8k, maps your data, systems, workflows and risks so the agent is built on solid ground.
A 3-4 week engagement, USD 12k-25k, defines what the virtual agent will handle, its guardrails, integrations and success measures.
Over 6-10 weeks, USD 40k-90k, Paloren builds the agent, connects your CRM and tools and grounds it in your company brain.
A controlled pilot proves performance on real requests while team AI training prepares your people to supervise and steer the agent.
The agent goes live on chosen channels with monitoring in place, and support from USD 2,500 per month covers 10 hours of tuning and care.
| Engagement | Typical range | Typical timeline |
|---|---|---|
| AI virtual agents | USD 40k-90k | 6-10 weeks |
| AI voice agents and receptionists | USD 25k-60k | 4-8 weeks |
| Chatbot builds | USD 20k-50k | 4-8 weeks |
| Workflow automation and integrations | USD 15k-60k | 3-8 weeks |
| CRM implementation with AI | USD 20k-80k | 4-10 weeks |
| Company brain | USD 60k-150k | 8-12 weeks |
| Ongoing support | From USD 2,500 per month | 10 hours monthly |
Final pricing is set after the readiness assessment and strategy phases confirm scope.
Paloren published service ranges
| Option | What it does | Best fit |
|---|---|---|
| AI virtual agent | Plans and completes multi-step tasks across your systems | Customer operations and internal workflows |
| Chatbot | Answers common questions on a single channel | High-volume simple queries |
| AI voice agent | Handles calls, routes requests and books actions | Phone lines and reception |
| Company brain | Central knowledge layer that grounds every answer | Accuracy across all agents |
| Workflow automation | Moves data between tools on triggers | Repetitive handoffs between systems |
| Custom apps | Purpose-built software when existing tools fall short | Unique processes and gaps |
Many programmes combine an agent with automation and a company brain for grounded answers.
A working AI virtual agent deployed on your chosen channels
Documented integrations across your CRM, tools and knowledge base
Guardrails, escalation rules and governance documentation
Team AI training so staff can supervise and direct the agent
A support plan with monitoring and monthly tuning 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.
A virtual agent reads an incoming request, checks your knowledge and systems, then completes the steps: answering product questions, updating records, drafting follow-ups or escalating to staff.
Paloren builds it on a company brain so responses stay aligned with your policies.
| Step | Stage | What it changes |
|---|---|---|
| 01 | Signal | Catalogue the repetitive requests, knowledge sources, policies and the CRM, ticketing and workflow tools where work currently happens. |
| 02 | Synthesis | Design the company brain: a central knowledge layer defining tone of voice, escalation rules and when judgement passes to a person. |
| 03 | System | Connect the agent to records, workflows and call-analysis outputs; test escalation paths, missing-data failures and every handover to staff. |
| 04 | Scale | Assign an operations owner to review accuracy, track resolved versus escalated cases, then extend the agent one workflow at a time. |
An AI virtual agent is software that understands requests, plans the steps needed and completes work across your systems. It can answer questions, update records, trigger workflows and hand complex cases to people.
Paloren grounds every agent in your own knowledge and policies so responses stay accurate, and builds in guardrails that define exactly what the agent may do on its own.
A chatbot mainly answers questions on one channel using scripts or retrieved text. A virtual agent goes further: it plans multi-step tasks, uses your tools, updates systems such as your CRM and finishes work end to end.
Paloren builds both. Chatbot builds run USD 20k-50k over 4-8 weeks, while agent builds run USD 40k-90k over 6-10 weeks.
Paloren agent builds typically run USD 40k-90k over 6-10 weeks, shaped by the number of tasks, systems and channels involved. Most first projects with Paloren fall between USD 25k and 100k over 2-10 weeks.
If you need voice handling, AI voice agent builds run USD 25k-60k over 4-8 weeks. Ongoing support starts at USD 2,500 per month for 10 hours.
A readiness assessment takes 2-3 weeks and strategy takes 3-4 weeks. The agent build and pilot usually add 6-10 weeks, so a full path from first review to live agent often lands around three to four months.
If a company brain is needed first, add 8-12 weeks, since that knowledge layer takes USD 60k-150k over 8-12 weeks to build.
Yes. CRM implementation with AI is a core Paloren service, and agents are designed to read and update CRM records, log conversations, create follow-up tasks and trigger automations.
If your CRM needs work first, that engagement runs USD 20k-80k over 4-10 weeks. Workflow automation and integrations, priced at USD 15k-60k over 3-8 weeks, connect the agent to the rest of your stack.
Paloren positions agents as digital coworkers that absorb repetitive work so your people focus on judgement, relationships and complex cases. Every build includes escalation rules, so the agent hands over when a situation needs a human.
Team AI training is part of the engagement, giving staff the skills to supervise, steer and get real leverage from the agents they work alongside.
An agent needs your policies, product details, process documentation and access to the systems where work happens. The readiness assessment, from USD 8k over 2-3 weeks, maps what exists, what is missing and what needs cleaning.
Where knowledge is scattered, a company brain consolidates it into one grounded source, and custom apps from USD 40k can fill gaps no existing tool covers.
Yes. Paloren provides AI strategy, implementation, automation and training for companies worldwide, and the same structured process applies wherever you operate. Paloren combines implementation, workflow design and practical team training.
Wherever you are based, work moves from assessment through strategy, build and training to ongoing support.
Start with an AI readiness assessment, priced from USD 8k over 2-3 weeks. It reviews your data, systems, workflows and risks, then recommends which agent use case to build first and what it should cost.
From there, a strategy engagement, USD 12k-25k over 3-4 weeks, turns the recommendation into a build plan with guardrails and success measures.
Ready to put a virtual agent to work?
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