Chat bot development that connects conversations to your systems and data
Paloren builds AI chat bots with strategy, CRM integration and company brain connections, led by Aaron Agius. Projects range from USD 20k to 50k.
Operations, sales and support leaders planning a customer-facing or internal chat bot project.
Paloren builds chat bots that answer from your company knowledge, log to your CRM and trigger real workflows, with projects from USD 20k to 50k over four to eight weeks. Every engagement includes strategy, build, integration, training and ongoing support.
Chat bot development at Paloren covers the full path from first workshop to a deployed assistant your teams actually use. We start by mapping the questions your customers and staff ask most, the systems that hold the answers and the workflows a conversation should trigger.
Conversation design follows, defining intents, tone and escalation rules so the bot sounds like your business and knows when to hand a thread to a person. Build comes next: we develop the assistant, connect it to your CRM, tools and data, then test it against real scenarios drawn from your operations.
Because Paloren provides AI strategy, implementation, automation and training, your bot arrives inside a wider plan rather than as an isolated widget. Launch is not the finish line.
We train your people, document governance and set up measurement so every conversation feeds back into improvement.
The work, made concrete
Full path from discovery to deployed assistant
Conversation design with intents, tone and escalation rules
Training, governance and measurement built in
Most projects fall into three groups. A customer assistant sits on your website or channels, answers pre-sales and service questions, captures details and routes requests to the right person or workflow.
An internal assistant serves your own teams, drawing on documented processes, policies and records so staff stop hunting through drives and inboxes for answers. A CRM-connected bot works inside sales and service motions: it logs conversations, updates records, books follow-ups and hands warm threads to humans with full context.
The right starting point depends on where conversations currently cost you the most time. Some companies begin with a public-facing assistant because repetitive questions dominate; others start internally, where a knowledge layer pays back across every team.
Paloren also builds AI voice agents and receptionists when calls, not text, carry the volume. During discovery we look at your existing systems, the questions that repeat and the outcomes you want, then recommend the build that earns its keep fastest.
Whichever type we choose, the assistant connects to your workflows rather than operating as a chat window with nowhere to go.
| Engagement | What it covers | Range and timeline |
|---|---|---|
| Customer-facing chat bot | Website and channel assistant answering questions, capturing details and routing requests | USD 20k-50k over 4-8 weeks |
| Internal support chat bot | Team assistant drawing on documented processes, policies and records | USD 20k-50k over 4-8 weeks |
| AI voice agent | Voice receptionist handling calls and routing requests into workflows | USD 25k-60k over 4-8 weeks |
| AI agent build | Multi-step task completion across systems beyond conversation | USD 40k-90k over 6-10 weeks |
| Company brain | Structured knowledge layer the bot answers from | USD 60k-150k over 8-12 weeks |
published ranges for chat bot projects and related Paloren builds.
Source: Paloren published service ranges
| Factor | Effect on scope | Effect on timeline |
|---|---|---|
| Conversation complexity | More intents, branching paths and tone rules to design and test | Extends design and testing phases |
| Integration count | Each CRM, workflow or data connection adds build and test effort | Adds integration and QA time |
| Company brain dependency | Answers draw on documented processes, policies and records | Brain build runs 8-12 weeks before or alongside |
| Governance requirements | Escalation rules, permissions and review steps get configured | Adds configuration and review checkpoints |
| Training depth | Hands-on enablement for the teams who will manage the bot | Extends the handover phase |
What moves a project within or beyond the standard band.
Source: Paloren published service ranges
The work, made concrete
Customer assistants for websites and channels
Internal assistants grounded in documented processes
CRM-connected bots for sales and service motions
A chat bot without grounding guesses; a chat bot wired into a company brain answers from your actual business. The company brain is a structured knowledge layer holding your processes, policies, product details and records in a form an assistant can query.
When a customer asks about delivery terms or a staff member asks about an expense rule, the bot responds from your documented source rather than a generic script. This connection changes the maintenance story too: update the brain once and every channel that draws on it inherits the correction.
Paloren builds company brains as a dedicated service, and chat bot projects frequently include one or connect to an existing build. The sequencing matters.
If your knowledge lives in scattered documents and heads, we either extend the project to build the brain first or phase the work so the bot launches on narrow, well-documented topics and widens as the brain grows.
Governance sits alongside: we define what the bot may answer, what it must escalate and who reviews sensitive threads. That structure is what turns a conversational interface into a dependable operator inside your business.
The work, made concrete
Answers drawn from your documented knowledge
One brain update corrects every channel
Governance defines what the bot may answer
A conversation only matters if something happens after it. Paloren treats every chat bot as a front end to your operations, which is why workflow automation and integrations sit at the core of the build.
In practice that means the bot writes conversation summaries and outcomes back to your CRM, creates or updates records, triggers follow-up tasks and hands escalating cases to the right person with context attached.
Where a request needs a chain of steps, such as checking a status, drafting a response and scheduling a callback, the bot calls the workflows that already run your business rather than improvising its own.
Paloren delivers workflow automation and integrations as a standalone service too, so a bot can be added to automation foundations you already have.
CRM implementation with AI is another common pairing: companies bring us in to implement a CRM properly, then layer conversational front ends on top so adoption feels natural instead of forced.
During discovery we map each conversation to the systems behind it and flag where a workflow is missing. That mapping becomes the integration plan, and it is what separates a bot that logs tickets from one that resolves them.
The work, made concrete
Conversation summaries and outcomes logged to CRM
Bots trigger existing workflows instead of improvising
Integration plan mapped during discovery
Chat bot development at Paloren ranges from USD 20k to 50k, delivered over four to eight weeks. Where a project lands inside that band depends on three levers: how complex the conversations are, how many systems the bot must touch and whether it answers from a company brain.
A focused assistant handling a defined set of questions with one or two integrations sits at the lower end. A bot that reads from internal knowledge, writes to your CRM and triggers multiple workflows moves toward the upper end.
Related services have their own ranges if your project needs them: an AI readiness assessment starts from USD 8k over two to three weeks, AI strategy runs USD 12k to 25k over three to four weeks, and a company brain ranges from USD 60k to 150k over eight to twelve weeks.
If calls matter as much as text, an AI voice agent ranges from USD 25k to 60k over four to eight weeks. After launch, ongoing support starts from USD 2,500 per month for ten hours.
We quote a fixed figure once discovery confirms scope, so the range narrows to a number before any build begins.
The work, made concrete
Core range: USD 20k-50k over 4-8 weeks
Complexity, integrations and company brain move the figure
Fixed quote confirmed after discovery
The standard window is four to eight weeks from kickoff to a live assistant. The first stretch covers discovery and conversation design: we agree the questions the bot owns, write the flows and set escalation rules.
Build and integration follow, connecting the assistant to your CRM, workflows and any knowledge layer, then testing against scenarios from your real operations. Simple, well-scoped builds reach launch closer to four weeks; builds that touch several systems or draw on a company brain run toward eight.
Prerequisites change the calendar too. An AI readiness assessment adds two to three weeks when your data and workflows need sorting first, and an AI strategy phase adds three to four weeks when the bot is part of a wider adoption plan.
A company brain takes eight to twelve weeks on its own, so projects that depend on one either start after the brain exists or launch the bot on a narrow topic set and expand later.
We plan in phases so you see a working assistant early, then widen its scope as integrations and knowledge come online. Timelines are confirmed in the proposal, and we hold to them.
The work, made concrete
Standard window of four to eight weeks
Assessments and strategy phases add defined weeks
Phased delivery shows a working bot early
Your project is led by the people who run Paloren. Aaron Agius, an AI implementation consultant, co-founded the company with Alex Agius, and both remain hands-on from scoping through launch.
Paloren combines implementation, workflow design and practical team training. You work with that team directly. There is no handoff to a junior delivery pod after the sale; the strategists who scope your bot are the ones who design, build and train your staff on it.
The work, made concrete
Co-founders Aaron and Alex Agius stay hands-on
Team experience from IBM, Ford, LG, Unilever, Jaguar and Chelsea FC
Launch is a checkpoint, not an endpoint. Every bot ships with measurement in place, so from day one you can see which questions arrive, which answers satisfy and where conversations stall or escalate.
In the first weeks we watch those signals closely, tune phrasing and close gaps in the knowledge the bot draws on. Your teams get training during the build, and we reinforce it after launch with sessions tailored to the staff who manage, review and promote the assistant.
Ongoing support starts from USD 2,500 per month for ten hours, covering refinements, retraining and adjustments as your products, policies and systems change. Governance continues too: we review escalation rules and permissions on a cadence you set, so the assistant keeps operating inside the boundaries you defined.
Many companies use the first bot as a template. Once the conversation layer, integrations and governance are proven on one use case, extending to new topics, channels or an AI agent build becomes a planned increment rather than a fresh project.
That path from single assistant to connected system is how chat bot development compounds into broader automation.
The work, made concrete
Measurement from day one
Support from USD 2,500 per month for ten hours
First bot becomes a template for expansion
An assessment is the right first move when your foundations need work before a bot can perform. It starts from USD 8k and runs two to three weeks, and it examines where your knowledge lives, how your CRM and workflows actually operate and which systems a conversational assistant would need to touch.
The output is a clear picture of what is ready, what is missing and what order to fix things in. If your documentation is thin, your CRM is inconsistently used or your processes vary between teams, building a bot first means building it on sand.
The assessment prevents that: it sequences the work so the assistant launches against stable data and processes. If your systems are already in good shape, we skip it and move straight into strategy or build, because paying for an assessment you do not need serves nobody.
Either way, the decision is made on evidence from a short, structured review rather than guesswork. Many chat bot projects at Paloren begin with this step, and its findings flow directly into the conversation design and integration plan, so nothing is repeated or wasted.
The work, made concrete
Starts from USD 8k over two to three weeks
Examines knowledge, CRM and workflow readiness
Findings flow straight into design and build
Run a short structured review of your data, CRM and workflows, or skip it when foundations are already solid.
Map the questions the bot will own, write flows, define tone and set escalation rules with your team.
Develop the assistant, connect it to your CRM, workflows and knowledge layer, and wire up logging.
Run the bot against live cases from your operations, close gaps and refine answers before launch.
Deploy to your channels, train the staff who will manage it and hand over documentation.
Monitor conversations, retrain where questions drift and extend the bot toward new topics or agents.
| Engagement | What it covers | Range and timeline |
|---|---|---|
| Customer-facing chat bot | Website and channel assistant answering questions, capturing details and routing requests | USD 20k-50k over 4-8 weeks |
| Internal support chat bot | Team assistant drawing on documented processes, policies and records | USD 20k-50k over 4-8 weeks |
| AI voice agent | Voice receptionist handling calls and routing requests into workflows | USD 25k-60k over 4-8 weeks |
| AI agent build | Multi-step task completion across systems beyond conversation | USD 40k-90k over 6-10 weeks |
| Company brain | Structured knowledge layer the bot answers from | USD 60k-150k over 8-12 weeks |
published ranges for chat bot projects and related Paloren builds.
Paloren published service ranges
| Factor | Effect on scope | Effect on timeline |
|---|---|---|
| Conversation complexity | More intents, branching paths and tone rules to design and test | Extends design and testing phases |
| Integration count | Each CRM, workflow or data connection adds build and test effort | Adds integration and QA time |
| Company brain dependency | Answers draw on documented processes, policies and records | Brain build runs 8-12 weeks before or alongside |
| Governance requirements | Escalation rules, permissions and review steps get configured | Adds configuration and review checkpoints |
| Training depth | Hands-on enablement for the teams who will manage the bot | Extends the handover phase |
What moves a project within or beyond the standard band.
Conversation flow map covering intents, tone and escalation rules
Working chat bot deployed to your chosen channels
CRM and workflow integrations with logging in place
Company brain connection where the project includes one
Team training session and handover documentation
Governance guidelines defining what the bot may answer and escalate
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.
Most chat bot projects at Paloren range from USD 20k to 50k and run four to eight weeks. Scope moves within that band based on conversation complexity, the number of integrations and whether the bot draws on a company brain.
A voice agent project ranges from USD 25k to 60k over four to eight weeks. We confirm a fixed figure after discovery.
A typical chat bot build takes four to eight weeks from kickoff to launch. Discovery and conversation design come first, then build and integration, then testing with your team.
If the project includes a company brain, which runs eight to twelve weeks on its own, the overall timeline extends. We sequence phases so you see a working bot early.
Yes. CRM implementation with AI is one of our services, and chat bot builds routinely log conversations, create or update records and trigger follow-up workflows inside your CRM.
During discovery we map which fields and objects the bot should read and write. That mapping keeps conversations tied to pipeline and service history instead of sitting in a separate tool.
A chat bot handles conversations: answering questions, capturing details and routing requests. An AI agent goes further and completes multi-step tasks across your systems, such as processing a request end to end.
Agent builds at Paloren range from USD 40k to 90k over six to ten weeks. Many companies start with a chat bot and add agents once workflows are stable.
Yes. Ongoing support starts from USD 2,500 per month for ten hours. That covers monitoring conversations, refining answers, retraining where questions drift and adjusting integrations as your systems change.
Many teams also schedule periodic governance reviews so escalation rules and permissions stay current. You get the same people who built the bot rather than a separate helpdesk.
An assessment helps when your data, CRM or workflows need sorting before a bot can answer well. It starts from USD 8k and takes two to three weeks. We review where knowledge lives, how processes run and which systems the bot would touch.
The output feeds directly into strategy and build, so nothing from the assessment work is wasted.
Yes. When a project includes a company brain, the chat bot draws answers from your documented processes, policies and records instead of generic responses. Company brain builds range from USD 60k to 150k over eight to twelve weeks, and a bot can connect to one once it exists.
We also define governance rules so sensitive topics route to your people.
Paloren serves businesses worldwide, and this page covers chat bot development at a country level rather than by city. Engagements run remotely with structured workshops, shared build environments and scheduled reviews across time zones.
Whether your team sits in one office or across several regions, the process, pricing and support model stay the same.
What should your chat bot handle first?
Book a chat bot scoping call
