IT consulting that turns AI strategy into working systems
Paloren provides IT consulting with AI strategy, automation, CRM and agent implementation for companies worldwide. First projects from USD 25k.
Operations, technology and growth leaders who need AI implemented inside existing business systems
Paloren provides IT consulting built around AI strategy, implementation, automation and training for companies worldwide. The firm is co-founded by Aaron Agius, an AI implementation consultant, and Alex Agius.
First projects run USD 25k-100k over 2-10 weeks, beginning with a readiness assessment that maps where AI will pay off.
IT consulting used to centre on infrastructure, software selection and process documentation. Those questions still exist, but the centre of gravity has moved.
Companies now ask which decisions AI should inform, which tasks agents should carry, and how data should move between systems so models have something reliable to work with.
Paloren approaches IT consulting from that direction. We treat your technology estate as one connected system: the CRM, the reporting stack, the communication channels, the documents and the workflows that bind them.
Consulting then becomes the discipline of deciding where AI creates leverage, in what order, and under which guardrails. That demands a different profile from licence negotiation or hardware audits.
It requires people who have built marketing, data and growth systems for 20 years and who have spent recent years applying AI inside a live agency. Advice is therefore grounded in systems that operate every day, not in frameworks recycled from a conference deck.
The work, made concrete
Consulting that starts from your systems rather than a vendor list
AI treated as a layer across CRM, reporting and workflows
Many companies buy AI tools first and ask strategic questions later. That order produces scattered pilots, duplicated subscriptions and staff who ignore yet another login.
Paloren puts strategy first because technology only pays off when it serves a defined operating model. An AI strategy from Paloren maps your objectives to the workflows that carry them, identifies where agents, automation or a company brain will change output, and sequences the work so each phase funds the next.
Strategy runs USD 12k-25k over 3-4 weeks, which keeps it proportionate to the build that follows. The output is not a vision document. It is a ranked plan: which workflows to automate, which data to clean, which integrations to build, and which governance rules to set before anything reaches production.
Because Paloren also implements, the strategy is written by the people who will stand behind the build estimates. That closes the familiar gap between advisers who recommend and integrators who deliver.
Leadership gets one accountable partner from the first workshop through to the final handover, and every later technology decision can be traced back to a documented rationale rather than to a trend.
| Engagement | What it covers | Range and duration |
|---|---|---|
| First project | Scoped build combining assessment, strategy and implementation | USD 25k-100k over 2-10 weeks |
| AI readiness assessment | Audit of systems, data, workflows and team skills | From USD 8k over 2-3 weeks |
| AI strategy | Ranked roadmap for AI across the business | USD 12k-25k over 3-4 weeks |
| Company brain | Central knowledge system for the whole company | USD 60k-150k over 8-12 weeks |
| AI agents | Agents for research, triage and follow-up tasks | USD 40k-90k over 6-10 weeks |
| Workflow automation and integrations | Data movement between existing tools | USD 15k-60k over 3-8 weeks |
| CRM implementation with AI | CRM configured with AI capture and next actions | USD 20k-80k over 4-10 weeks |
| AI chatbot | Website and internal chat assistants | USD 20k-50k over 4-8 weeks |
| AI voice agent or receptionist | Call answering, qualification and booking | USD 25k-60k over 4-8 weeks |
| Custom apps | Purpose-built applications for genuine gaps | From USD 40k |
| Ongoing support | Retained hours for iteration and new requests | From USD 2,500 per month for 10 hours |
Published ranges and durations for each engagement type
Source: Paloren published service ranges
| Factor | What changes | Effect on scope |
|---|---|---|
| Number of systems | Two connected tools versus six or more | Each added system extends integration and testing |
| Data quality | Clean records versus scattered spreadsheets | Cleanup work is sequenced before AI build |
| Integration depth | Simple sync versus real-time orchestration | Deeper flows need more build and monitoring |
| Agent complexity | Single task versus multi-step decisions | Complex agents need more guardrails and testing |
| Governance needs | Light policy versus regulated environments | More rules extend strategy and setup phases |
| Team training | One team versus company-wide rollout | Wider rollout adds sessions and materials |
| Timeline pressure | Standard cadence versus compressed deadline | Compression concentrates effort into shorter windows |
Factors that shift scope within each published range
Source: Paloren published service ranges
The work, made concrete
Strategy before tooling, so pilots do not scatter
A ranked roadmap sequencing automation, data and governance
One accountable partner from advice through build
Paloren delivers a defined service set rather than an open-ended menu. AI strategy sets direction. The company brain centralises institutional knowledge so every team answers from the same source.
AI agents handle bounded tasks such as research, triage and follow-up. Workflow automation and integrations move data between the tools you already run, removing manual re-entry along the way.
CRM implementation with AI gives sales and service teams a system of record that captures activity automatically and suggests next actions. AI voice agents and receptionists answer calls, qualify enquiries and book time around the clock.
Custom apps cover the gaps no off-the-shelf product fills. AI governance sets the rules for models, data and access. The AI readiness assessment establishes your starting point, and team AI training makes sure staff can operate everything that gets built.
Each service can start on its own, yet all of them share one architecture, so work compounds instead of fragmenting. A business that begins with an assessment can extend into automation, then agents, then a company brain, without rebuilding anything that came before.
The work, made concrete
Defined services sharing one architecture
Assessment, strategy, build, governance and training under one roof
Later phases build on earlier ones instead of restarting
Paloren was co-founded by Aaron Agius and Alex Agius. Paloren combines implementation, workflow design and practical team training. That background shapes how the firm consults: recommendations are tested against operational reality, not just technical possibility.
Engagements are staffed by senior people from the first assessment workshop to the last training session, so nothing gets handed down to a junior bench once the contract is signed.
When a trade-off needs a judgement call, you speak with the people making it.
The work, made concrete
Co-founded by Aaron Agius and Alex Agius
Paloren combines implementation, workflow design and practical team training.
The shape of an engagement stays consistent even when scope changes. It starts with a readiness assessment, from USD 8k over 2-3 weeks, which audits systems, data, workflows and skills.
Findings feed a strategy sprint that ranks opportunities and sizes them. Build phases then follow the order the roadmap sets: automation and CRM work usually come first because they clean the pipes, agents come next, and a company brain arrives once the underlying data can be trusted.
Governance runs in parallel rather than being bolted on at the end, so access rules, review points and model boundaries exist before anything reaches production. Training runs alongside delivery too, which means staff learn on the exact systems they will use.
A first project lands between USD 25k-100k over 2-10 weeks depending on scope, and ongoing support starts from USD 2,500 per month for 10 hours. Progress is reviewed against the roadmap at fixed checkpoints.
Every phase ends with documentation and a working system, never with a report that gathers dust while the real questions go unanswered.
The work, made concrete
Readiness assessment before any build commitment
Governance set in parallel with delivery, not after
Fixed checkpoints with documentation at every phase end
Price follows scope, and scope has identifiable drivers. The number of systems involved matters most: connecting two tools costs less than integrating six. Data quality is the second driver, because models and automations amplify whatever they are fed.
Integration depth comes next, since a straightforward data sync differs from real-time orchestration across departments. Agent complexity, governance requirements, training reach and timeline pressure all move the range as well.
Paloren publishes its ranges so expectations are set before proposals are written: a first project runs USD 25k-100k over 2-10 weeks, automation sits at USD 15k-60k over 3-8 weeks, CRM implementation with AI at USD 20k-80k over 4-10 weeks, and a company brain at USD 60k-150k over 8-12 weeks.
The second table below breaks down the factors that push work toward either end of each range. Nothing is quoted before the readiness assessment, because pricing without seeing the actual estate produces the change orders that make consulting budgets unpredictable. Predictability comes from looking first and committing second.
The work, made concrete
System count, data quality and integration depth drive scope
Published ranges set expectations before proposals
No quote issued before the assessment sees your estate
Rip-and-replace is rarely the right answer. Most companies have sunk years of configuration into their CRM, their reporting stack and their communication tools, and the fastest route to value usually runs through those systems rather than around them.
Paloren opens every engagement with an inventory of what you already operate, then decides per system whether to extend, integrate or replace. Workflow automation and integrations connect the tools that must keep running.
CRM implementation with AI upgrades the system of record so it captures activity by itself and surfaces next actions. Where a genuine gap exists, custom apps from USD 40k fill it, and AI agents or voice agents plug into the same stack.
The company brain indexes your documents and internal knowledge so answers come from your material rather than from a generic model. This approach protects past investment, shortens timelines and keeps staff inside tools they already know while AI capability arrives around them.
Change is staged, visible and reversible at each step, which lowers the risk that usually accompanies technology programmes.
The work, made concrete
Extend, integrate or replace, decided per system
Custom apps only where genuine gaps exist
Staff keep familiar tools while AI capability arrives
Every Paloren engagement closes with working systems and the material needed to run them. The readiness phase produces a report that maps your estate and ranks opportunities.
Strategy work produces a roadmap with sized initiatives and an order of attack. Build phases hand over automations, agents and integrations running in production, plus a CRM configured with AI capture and next-action features where that scope is included.
Governance work leaves you with written policy covering access, review and model use, so the rules outlive the project. Training leaves your team able to operate everything without depending on outside help for routine tasks.
Documentation is written for the people who will maintain the systems, not for a shelf. If you continue with support from USD 2,500 per month for 10 hours, the same team that built the systems keeps iterating on them.
If you prefer to run everything internally, the handover materials are complete enough to allow exactly that. Either way, ownership of the systems, the documentation and the knowledge transfers fully to you.
The work, made concrete
Systems in production, not slideware
Governance policy and documentation included as standard
Training so your team owns the result
Fit matters more than persuasion. Paloren is built for established businesses with live systems, real data and budgets that match the published ranges: first projects start at USD 25k, which signals the stage where AI investment compounds rather than experiments.
If you lead operations, technology or growth and you need systems connected, automated and governed rather than merely advised on, the model fits. If you want an outside opinion before committing, the readiness assessment from USD 8k over 2-3 weeks gives you a documented outside view of your estate with no obligation to build.
Paloren serves businesses worldwide, and every engagement runs with the same senior team from assessment through training.
The fastest way to test fit is a direct conversation: bring your current system map, your bottlenecks and your constraints, and the team will tell you plainly whether AI consulting is the right next move or whether a narrower starting point makes more sense.
The work, made concrete
Built for established businesses with live systems
Worldwide delivery with the same senior team throughout
Start with an assessment if timing feels uncertain
Audit systems, data, workflows and skills to establish a baseline. Runs from USD 8k over 2-3 weeks and produces a ranked view of where AI will pay off first.
Turn assessment findings into a sequenced roadmap. Strategy work runs USD 12k-25k over 3-4 weeks and sizes each initiative before any build commitment.
Deliver automations, CRM work, agents and integrations in the order the roadmap sets. A first project lands between USD 25k-100k over 2-10 weeks.
Set access rules, review points and model boundaries, then run team AI training on the live systems so staff own the result from day one.
Retain Paloren from USD 2,500 per month for 10 hours to iterate, add workflows and keep systems healthy as usage grows.
| Engagement | What it covers | Range and duration |
|---|---|---|
| First project | Scoped build combining assessment, strategy and implementation | USD 25k-100k over 2-10 weeks |
| AI readiness assessment | Audit of systems, data, workflows and team skills | From USD 8k over 2-3 weeks |
| AI strategy | Ranked roadmap for AI across the business | USD 12k-25k over 3-4 weeks |
| Company brain | Central knowledge system for the whole company | USD 60k-150k over 8-12 weeks |
| AI agents | Agents for research, triage and follow-up tasks | USD 40k-90k over 6-10 weeks |
| Workflow automation and integrations | Data movement between existing tools | USD 15k-60k over 3-8 weeks |
| CRM implementation with AI | CRM configured with AI capture and next actions | USD 20k-80k over 4-10 weeks |
| AI chatbot | Website and internal chat assistants | USD 20k-50k over 4-8 weeks |
| AI voice agent or receptionist | Call answering, qualification and booking | USD 25k-60k over 4-8 weeks |
| Custom apps | Purpose-built applications for genuine gaps | From USD 40k |
| Ongoing support | Retained hours for iteration and new requests | From USD 2,500 per month for 10 hours |
Published ranges and durations for each engagement type
Paloren published service ranges
| Factor | What changes | Effect on scope |
|---|---|---|
| Number of systems | Two connected tools versus six or more | Each added system extends integration and testing |
| Data quality | Clean records versus scattered spreadsheets | Cleanup work is sequenced before AI build |
| Integration depth | Simple sync versus real-time orchestration | Deeper flows need more build and monitoring |
| Agent complexity | Single task versus multi-step decisions | Complex agents need more guardrails and testing |
| Governance needs | Light policy versus regulated environments | More rules extend strategy and setup phases |
| Team training | One team versus company-wide rollout | Wider rollout adds sessions and materials |
| Timeline pressure | Standard cadence versus compressed deadline | Compression concentrates effort into shorter windows |
Factors that shift scope within each published range
AI readiness report with ranked opportunities and risks
AI strategy and implementation roadmap with sized initiatives
Working automations, agents and integrations running in production
CRM configured with AI capture and next-action features live
AI governance policy covering access, review and model use
Team AI training sessions with recorded materials for onboarding
Paloren covers the full arc from assessment to operations: AI readiness assessment, AI strategy, company brain, AI agents, workflow automation and integrations, CRM implementation with AI, AI voice agents and receptionists, custom apps, AI governance and team AI training.
You can start with one service or combine them, and everything shares one architecture so later work builds on earlier phases instead of starting over.
A first project runs USD 25k-100k over 2-10 weeks, with the range driven by scope: how many systems are involved, how clean the data is and how deep the integrations go. Smaller entry points exist, with readiness assessments from USD 8k over 2-3 weeks and strategy from USD 12k-25k over 3-4 weeks.
Paloren quotes only after the assessment, so the number you see reflects your actual estate.
Timelines vary by service. Workflow automation lands in 3-8 weeks, chatbots and voice agents in 4-8 weeks, AI agents in 6-10 weeks and a company brain in 8-12 weeks. A first project overall runs 2-10 weeks.
The readiness assessment compresses these figures because decisions about systems and data are made before build work starts rather than during it.
Rarely. Most companies have years of configuration in their CRM, reporting and communication tools, so Paloren prefers to extend and integrate first. Workflow automation connects what already runs, CRM implementation with AI upgrades the system of record, and custom apps fill genuine gaps from USD 40k.
Replacement is recommended only when the assessment shows a system cannot support the AI capabilities you need.
You work with senior people throughout. Paloren combines implementation, workflow design and practical team training. The same group that advises also builds, so recommendations carry weight and there is no handoff from consultants to a separate delivery team.
Yes. Ongoing support starts from USD 2,500 per month for 10 hours and covers monitoring, iteration, new workflow requests and adjustments as usage grows. Many businesses use retained hours to extend automation coverage, tune agents based on real activity and roll training out to new team members.
Support agreements are optional, and documentation from delivery lets your own team run systems independently if you prefer.
Team AI training is a core Paloren service, not an afterthought. Sessions run on the live systems delivered for your business, covering daily use, prompt and agent interaction, escalation paths and governance rules.
Recorded materials stay with you for onboarding. Training is scheduled alongside delivery so staff learn while systems are being built rather than months after go-live.
Paloren serves businesses worldwide. Delivery is remote-friendly with structured workshops, shared documentation and scheduled reviews, so location does not limit engagement.
All published ranges apply globally in USD. Whether your operations sit in one country or across several, the same senior team handles assessment, strategy, build and training from start to finish.
Book a call with Paloren. We review your systems, outline where AI fits and recommend whether a readiness assessment or a first project is the right starting point.
Which workflows should AI take off your plate first?
Book an IT consulting call
