Build custom AI agents around your own workflows and systems
Paloren builds custom AI agents for sales, support, operations and reporting, connected to your systems and governed for safe deployment.
Operations, sales, support and IT leaders who need agents built around their systems
Paloren is a custom AI agent builder for companies worldwide. We design, build, connect and govern agents around your systems, with projects starting at USD 40k-90k over 6-10 weeks.
A custom AI agent builder turns the idea of automation into working software that lives inside your business. Paloren designs each agent around a real process: qualifying inbound leads, reconciling CRM records, summarising calls, drafting reports or answering routine questions.
The agent is not a generic widget bolted onto your website. It is built against your data, your tone and your rules for when to act and when to escalate to a person. That origin matters.
The build covers the full stack: the reasoning layer, the connections to your systems, the guardrails that keep behaviour predictable and the interface your team actually uses.
You receive an agent that ships with documentation, monitoring and a clear escalation path, so ownership transfers to your people instead of staying locked with an outside vendor.
The work, made concrete
Agents designed around your processes, not generic templates
Connections to CRM, reporting and content systems from day one
Guardrails, monitoring and escalation paths built in
Paloren was co-founded by Aaron Agius and Alex Agius, and the build practice draws on both of their backgrounds. The wider team adds depth that pure software shops rarely have.
Paloren combines implementation, workflow design and practical team training. That mix shapes how we build. Strategy comes first, then architecture, then working code. Aaron and Alex stay close to every engagement, from first scoping through launch.
You work with people who have operated inside complex businesses, not a team learning on your budget.
| Agent type | What it handles | Typical range and timeline |
|---|---|---|
| Multi-step action agent | Reasons across systems, takes actions, escalates to people | USD 40k-90k over 6-10 weeks |
| Voice agent or receptionist | Answers calls, qualifies callers, routes conversations | USD 25k-60k over 4-8 weeks |
| Support chatbot | Handles written questions across chat channels | USD 20k-50k over 4-8 weeks |
| Custom application with agent | Purpose-built interface when existing tools cannot host the agent | From USD 40k |
Ranges reflect Paloren's published pricing for each agent family.
Source: Paloren published service ranges
| Factor | Why it matters | Effect on the build |
|---|---|---|
| Number of systems connected | Each integration adds mapping, testing and permissioning | More connections extend the timeline within the published range |
| Depth of knowledge base | Agents grounded in a company brain answer with fewer errors | Larger corpora increase build and review effort |
| Level of autonomy | Write actions need stricter guardrails than read-only answers | Higher autonomy adds governance and testing steps |
| Data readiness | Poor data quality blocks reliable agent behaviour | May add a readiness assessment before build starts |
Scope drivers assessed during discovery and the readiness assessment.
Source: Paloren published service ranges
The work, made concrete
Co-founded by Aaron Agius and Alex Agius
Team experience spans IBM, Ford, LG, Unilever, Jaguar and Chelsea FC
Paloren builds several families of agents, each matched to a different job. Research and reporting agents pull data together, summarise what changed and push findings to the people who need them.
CRM agents keep records clean, log activity and prompt next actions inside your sales process. Voice agents and receptionists answer calls, qualify callers and route conversations, with builds typically ranging from USD 25k-60k over 4-8 weeks.
Support chatbots handle written questions across chat channels, usually USD 20k-50k over 4-8 weeks. Broader multi-step agents that reason across systems and take actions sit in the USD 40k-90k range over 6-10 weeks.
When an agent needs its own interface rather than living inside existing tools, we build custom applications from USD 40k. We recommend the type after a readiness conversation, because the right choice depends on your data quality, call volume and the systems already in place.
Most engagements start with one high-value agent, prove the pattern, then extend.
The work, made concrete
Reporting, CRM, voice, chat and multi-step action agents
Voice agents from USD 25k-60k over 4-8 weeks
Custom applications housing agents from USD 40k
An agent is only useful if it can read and write where your work happens. Paloren treats integration as a first-class part of every build, not an afterthought.
We connect agents to CRMs, data warehouses, ticketing tools, calendars, telephony and internal databases through APIs and workflow automation, so the agent acts inside the tools your team already opens each morning.
Where the underlying system needs work first, we handle that too. CRM implementation with AI is one of our core services, which means we can repair data structures and then layer agent behaviour on top.
For knowledge-heavy agents, we often build a company brain first: a governed store of your documents, policies and historical decisions that the agent draws from instead of guessing.
Connections are mapped and tested before launch. Every write action is logged, sensitive fields are permissioned, and failures route to a person rather than disappearing.
The result is an agent that participates in your operations end to end, with the same accountability as any other system you run.
The work, made concrete
API and workflow connections to CRM, telephony, ticketing and data tools
Company brain as a governed knowledge layer for grounded answers
Every write action logged, with failures routed to people
Every agent project starts with discovery. We interview the people who will work alongside the agent, map the current process and test whether your data is ready.
Where uncertainty is high, we run an AI readiness assessment first, from USD 8k over 2-3 weeks, or a short strategy engagement, USD 12k-25k over 3-4 weeks, to set priorities before any code is written.
Design comes next. We define the agent's scope, its tools, its escalation rules and the exact scenarios it must handle, then agree success measures with you before build begins.
Construction follows in short cycles, with working software demonstrated early rather than revealed at the end. Testing uses your real scenarios, including the awkward edge cases your team flags.
Launch is deliberately quiet: the agent goes live with monitoring, a rollback path and a named owner on both sides. After the first weeks in production, we review behaviour together and tune.
The rhythm stays predictable, because predictability is what makes an agent trustworthy enough to receive real work.
The work, made concrete
Discovery, readiness and strategy options before any build starts
Short build cycles with working software shown early
Launch with monitoring, rollback and named ownership
Agent builds at Paloren sit inside published ranges so you can plan before the first call. A standard multi-step agent, the kind that reasons across systems and takes actions, runs USD 40k-90k over 6-10 weeks.
Voice agents and receptionists land between USD 25k-60k over 4-8 weeks, while written-channel chatbots fall in the USD 20k-50k band over 4-8 weeks. When an agent needs a purpose-built application around it, custom apps start from USD 40k.
For context, first projects across our services generally sit between USD 25k-100k over 2-10 weeks, and agent work fits that frame. Ongoing care, monitoring and iteration are available as a support arrangement from USD 2,500 per month for 10 hours.
Price moves with the number of systems connected, the depth of the knowledge base and how much autonomy the agent is given. We scope against your actual workflows, then quote a fixed range so the number is known before build begins.
The work, made concrete
Multi-step agents: USD 40k-90k over 6-10 weeks
Voice agents: USD 25k-60k over 4-8 weeks
Support from USD 2,500 per month for 10 hours
Autonomy without controls is a liability, so governance is built into every Paloren agent rather than added later. Each agent operates inside defined boundaries: the systems it may touch, the actions it may take without approval and the moment it must stop and hand over to a person.
Those boundaries are written down, tested and reviewed with your stakeholders before launch. We log every action an agent takes, so behaviour can be audited after the fact.
Sensitive data stays permissioned, meaning the agent only sees what the person it acts for could see. Prompt-level guardrails reduce drift, and regular evaluation catches degradation as your data and policies change.
For organisations with formal requirements, our AI governance service extends this into policy: usage rules, review cadences and documentation that satisfy internal risk and compliance teams.
The AI readiness assessment often surfaces gaps early, covering data quality, access control and ownership, before an agent ever touches production. The goal is an agent your risk team can read, question and trust.
The work, made concrete
Defined boundaries for systems, actions and escalation
Full action logs and permissioned data access
AI governance service for policy, review cadence and documentation
Launch is the start of an agent's useful life, not the end of the project. Paloren offers ongoing support from USD 2,500 per month for 10 hours, covering monitoring, performance reviews, prompt and logic tuning, and small enhancements as your process evolves.
Agents operate in living environments: your data changes, your systems update and the questions people ask drift over time, so unattended agents degrade. Support includes watching for those shifts.
We review logs, check escalation patterns and adjust behaviour before small issues become visible to your team. Where a change is larger, such as a new product line or a new market, we scope it as a defined piece of work rather than letting it hide inside a retainer.
Handover is part of every engagement. Your team receives documentation, training and a clear map of how the agent was built, so you are never dependent on us to understand your own system.
Many organisations use that foundation to add a second and third agent, reusing the patterns and connections from the first.
The work, made concrete
Support from USD 2,500 per month for 10 hours
Monitoring, tuning and scheduled performance reviews
Documentation and training so your team owns the system
Plenty of agencies can wire a chatbot to a webpage. Fewer can design an agent that reasons across your CRM, respects your governance requirements and survives contact with a real sales quarter.
Paloren exists for that second category. AI strategy, implementation, automation and training are the whole business, served to companies worldwide, not a side offering attached to a marketing retainer.
Engagement is also end to end. We can assess readiness, set strategy, build the company brain, deploy agents, integrate systems and train your people, all under one roof.
Aaron Agius, an AI implementation consultant, co-founded the practice with Alex Agius, and both stay close as engagements progress. You get senior attention on work that changes how your business operates.
The work, made concrete
AI is the whole business, not a side service
Assessment, strategy, build, integration and training under one roof
Map the target workflow, interview the people involved and test data quality. Add an AI readiness assessment from USD 8k over 2-3 weeks where gaps are likely.
Define the agent's scope, tools, escalation rules and success measures, then confirm the build range before construction begins.
Construct the agent in short cycles, integrate it with your CRM, data and communication tools, and demonstrate working software early.
Run the agent against live scenarios, including edge cases flagged by your team, until behaviour is predictable.
Launch with logging, permissions, monitoring and a rollback path, and name an owner on both sides.
Move into support from USD 2,500 per month for 10 hours, tune behaviour and reuse the pattern for further agents.
| Agent type | What it handles | Typical range and timeline |
|---|---|---|
| Multi-step action agent | Reasons across systems, takes actions, escalates to people | USD 40k-90k over 6-10 weeks |
| Voice agent or receptionist | Answers calls, qualifies callers, routes conversations | USD 25k-60k over 4-8 weeks |
| Support chatbot | Handles written questions across chat channels | USD 20k-50k over 4-8 weeks |
| Custom application with agent | Purpose-built interface when existing tools cannot host the agent | From USD 40k |
Ranges reflect Paloren's published pricing for each agent family.
Paloren published service ranges
| Factor | Why it matters | Effect on the build |
|---|---|---|
| Number of systems connected | Each integration adds mapping, testing and permissioning | More connections extend the timeline within the published range |
| Depth of knowledge base | Agents grounded in a company brain answer with fewer errors | Larger corpora increase build and review effort |
| Level of autonomy | Write actions need stricter guardrails than read-only answers | Higher autonomy adds governance and testing steps |
| Data readiness | Poor data quality blocks reliable agent behaviour | May add a readiness assessment before build starts |
Scope drivers assessed during discovery and the readiness assessment.
A working custom AI agent deployed in your environment
Integrations connecting the agent to your CRM, data and communication tools
A governance pack covering boundaries, logging and escalation rules
Documentation and team training for ongoing ownership
A support arrangement from USD 2,500 per month for 10 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.
Paloren designs custom AI agents against real processes: lead qualification, CRM reconciliation, call summaries and routine answers, each shipped with guardrails, monitoring and a clear escalation path.
| Step | Stage | What it changes |
|---|---|---|
| 01 | Signal | Map the inbound lead flow, CRM fields, call summaries, routine question logs and where staff currently escalate to a person. |
| 02 | Synthesis | Draft agent rules for tone, when to act versus escalate, plus report templates and approval paths for sensitive actions. |
| 03 | System | Connect CRM, call data and reporting tools; test lead qualification cases, missing-source failure paths and escalation behaviour before launch. |
| 04 | Scale | Assign owners to monitor agent output, track correction effort and handover time, then extend to one new workflow at a time. |
A custom AI agent builder designs and constructs software agents that perform specific work inside one business, rather than selling a generic product. Paloren builds agents for reporting, CRM hygiene, call handling, content and multi-step operations, connecting each one to your systems and governing how it acts.
The output is a working agent, documented and monitored, that your team can operate after handover.
An off-the-shelf chatbot answers questions from a fixed script or knowledge base. A custom agent from Paloren reasons across your systems, takes actions such as updating records or drafting reports, and follows rules specific to your process.
It is built against your data, tested on your scenarios and governed with logging and escalation, which generic tools cannot provide without heavy modification.
Most agent builds run 6-10 weeks, with multi-step agents priced at USD 40k-90k. Voice agents and chatbots are faster, typically 4-8 weeks. Where data or strategy work is needed first, an AI readiness assessment adds 2-3 weeks and a strategy engagement adds 3-4 weeks.
Paloren confirms the timeline during scoping, before any build begins.
Paloren publishes its ranges: multi-step agents cost USD 40k-90k over 6-10 weeks, voice agents and receptionists USD 25k-60k over 4-8 weeks, and chatbots USD 20k-50k over 4-8 weeks.
Custom applications that host agents start from USD 40k. Ongoing support is available from USD 2,500 per month for 10 hours. The final figure depends on integrations, knowledge depth and autonomy.
Yes. Integration is a core part of every Paloren build. Agents connect to CRMs, data warehouses, ticketing systems, calendars and telephony through APIs and workflow automation.
Where the underlying CRM needs repair first, Paloren handles CRM implementation with AI, so the agent operates on clean structures. Every connection is mapped, permissioned and tested before launch.
It depends on the job. Reporting agents need access to your data sources, CRM agents need record structures and call agents need telephony or transcripts. Where documents and policies ground the answers, Paloren may recommend building a company brain first.
The AI readiness assessment, from USD 8k over 2-3 weeks, tests whether your data is ready before build starts.
Yes, training is part of the engagement. Paloren provides team AI training so your people understand what the agent does, how to supervise it and when to intervene. Documentation covers architecture, escalation rules and day-to-day operation.
The aim is genuine ownership: your team should be able to question, adjust and rely on the agent without depending on us for every change.
Every Paloren agent logs its actions and operates inside defined boundaries, so mistakes are traceable and contained. Actions that carry risk require human approval, and the agent escalates to a person when confidence drops or rules say stop.
Monitoring catches unusual behaviour, and support engagements include tuning to correct it. Governance documentation records what the agent may and may not do.
Paloren serves businesses worldwide. Engagements run remotely for discovery, build, testing and training, with governance and documentation designed for distributed teams.
Pricing is published in USD and applies globally, from first projects of USD 25k-100k through to company brain builds of USD 60k-150k. Wherever you operate, the process and the deliverables stay the same.
Which process should your first agent handle?
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