Chapter · Services
We build AI agents. Real ones, on your infrastructure.
Not one-click deploys. Not a wrapper around an API. A full agent system (persistent memory, owned infrastructure, custom tooling, real governance) built for your specific operation. We design it, deploy it, maintain it, and stay on the other end of the message.
01 · TRANSFORMATION & DIRECTION
AI Transformation & Fractional Direction
Not a workshop that collects dust. We spend real time inside your operations, decompose every workflow down to its smallest decision, and identify exactly where an agent system removes a bottleneck, not where it's convenient to bolt one on. The deliverable is a working system, not a slide deck.
One-time engagement. We audit, design, and build. You get a running system, a maintenance cadence, and a team that knows how to operate it. We hand over and step back.
Fractional AI Director. A few hours a week, custom scope defined in the Scope of Work, usually starting with a strategy audit. We own the chain of decisions that makes AI useful long after the first build: strategy, governance, new workflows as they appear, adoption. The same architecture that runs Trees OS, deployed and operated for your company.
What's included
- Operations audit & bottleneck mapping
- Process decomposition (every task, every handover, every decision point)
- Custom agent architecture design & deployment
- Human-in-the-loop validation gates
- Team training & capability transfer
- Ongoing maintenance & improvement (fractional format only)
02 · HR & TALENT ACQUISITION
Systems for HR and talent acquisition teams
Most HR functions do not have a data problem, they have an unusable data problem. Thousands of CVs nobody can query, certifications tracked in a spreadsheet that goes stale, the same job titled four different ways across four systems, and a hiring manager who cannot get a straight answer about who is actually available.
Everything below is one output of the same extraction layer, which is why the pieces compose instead of colliding. Structure the vocabulary once and job descriptions, matching, screening and reporting all inherit it. Our own network runs on exactly this: 21 job functions, 71 disciplines and 11 career tracks, applied to roughly three thousand profiles.
It ships with its own control tower: a live command centre over your workforce data, covering headcount, hiring pipeline, attrition risk, certification and compliance status, with a different view for HR, managers and leadership. Same architecture as the dashboards we run in production, on your infrastructure rather than a shared SaaS tenant.
We build it, we can keep running it, and every consequential decision stays with a human.
What's included
- Skills and role taxonomy built for your sector, not a generic ontology
- A living glossary, so a role means the same thing to recruiters, managers and systems
- Job descriptions generated from the taxonomy, consistent by construction
- CV extraction into a structured, matchable profile instead of a keyword blob
- Certification and credential normalisation, with expiry tracking
- AI pre-interview by chat or voice, returning a written brief a human signs off
- Matching, ranking and shortlisting against your criteria, with the reasoning shown
- A live control tower over headcount, pipeline and compliance
- GDPR and PDPA request handling built in, not bolted on afterwards
03 · MAINTAIN
Infra & Maintenance
We don't ship and leave, and we don't just maintain something someone else built. We design and deploy the full agent system on your infrastructure first: VPS, database, LLM endpoint, messaging integrations, and a 1Password-managed credential layer. Then we run it: weekly improvements, uptime monitoring, model updates, security patches, performance tuning.
Every deployment is self-hosted on your infrastructure or ours. API keys, conversation history, and business context never leave your control. The agent has persistent memory and a governor layer that decides what it can do alone vs. what escalates to you. All of it reproducible and auditable, so the stack can be handed to your team at any point.
What's included
- Self-hosted VPS, database & LLM endpoint (your stack or ours)
- Multi-platform messaging (Telegram, WhatsApp, Signal, email)
- 1Password-managed credentials, governor & approval loops
- Weekly agent improvements & 24/7 uptime monitoring
- Security patches & LLM model version management
- Infrastructure-as-code, quarterly architecture reviews
04 · TRAINING · WITH MFCCI
AI Training & Upskilling
We partner with MFCCI, an accredited HRDC training centre, to run AI upskilling for your teams. We provide the trainers and own the roadmap: where you start, what each team learns, and in what order. Courses are adapted to your sector and your actual work, not delivered off a shelf.
AI Awareness gives teams and leaders a working understanding of what these tools do, where they fail, and what that means for your operation. Build Your Copilot is hands-on: people leave able to use Copilot, Gemini, Claude or ChatGPT on their own tasks, with a concrete target of 30 minutes to an hour of work recovered per person per day.
Because MFCCI is HRDC-accredited, Malaysian employers can claim the training against their HRD Corp levy.
What's included
- Delivered with MFCCI, an accredited HRDC training centre
- AI Awareness for teams and a separate track for leaders
- Build Your Copilot: hands-on with the tools you already pay for
- Upskilling roadmap across the organisation, not a one-off session
- Sector-adapted material, built from your workflows
- HRD Corp levy claimable
05 · Why us
We sell the system, not the instance.
Most companies selling “AI agents” are selling a one-click deploy of open-source software on a shared VPS. That's not a service. That's a self-checkout lane.
We build a custom architecture for your specific operation, deploy it on your infrastructure, and stay on the other end of the chat. The agent works because the system underneath it works, and we build the whole thing.
Every part of Trees OS runs on the same agent architecture we build for clients. Delivery, research, ops, even this website. We don't recommend what we haven't lived.
Your agent lives on your infrastructure: your VPS, your database, your LLM endpoint. No shared tenancy, no data leaving your boundary, no surprise pricing changes.
LLM, database, messaging, credentials, monitoring. We engineer the whole system. Not a chatbot with a pricing page. An agent that can actually send emails, update records, and schedule meetings.
You work directly with the engineers building the system. The same people who built Treelance build your agent. And we stay on the other end of the chat after deployment.
06 · How it works
From conversation to running system.
We spend time inside your operation (calls, documents, access patterns) and identify the coordination bottlenecks that an agent system can eliminate.
We design a custom architecture: agent topology, database schema, LLM routing, governor rules, integration surfaces. You approve the plan before we write a line of code.
We provision your infrastructure, deploy the agent stack, connect your tools, and test every surface. The agent is live on your VPS, on your domain, under your control.
We stay. Weekly improvements, model updates, security, monitoring. The agent gets better every week because we keep working on it. You focus on the decisions only you can make.
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