Agent OS for Business Process Automation in Singapore
AI agents do the repetitive work. Nothing irreversible ships until your team clicks Approve.
Three pipelines have live production backends and evidence — inspect the boundaries below.
Singapore-registered · UEN 202610859G · Agent OS from S$2,000 including one pipeline, then Agent Care from S$150/month at month 4 · Reply within one business day
A pipeline running in production — eleven stages, and one human approval gate before anything ships.
Which business process takes too much staff time?
Describe the process in one or two sentences. We will tell you whether one of the existing workflows fits or what would need to be built.
What you get when you deploy business process automation
One fixed scope, one fixed price from S$2,000. No hourly billing, no surprise platform lock-in.
A sandboxed, VYR-hosted Agent OS runtime running 24/7, securely integrated with your accounts (Xero, HubSpot, Slack, Gmail). Full handover runbook provided on request.
A dedicated checkpoint in Slack, WhatsApp, or email where your staff clicks "Approve" before any draft invoice, customer email, or ledger write is executed.
Connect your own OpenAI / ChatGPT or Anthropic API keys directly. Inference is billed to you by the provider at raw cost — no agency markup, no vendor lock-in.
What is already running—and what would be built for you
Every workflow is labelled before you speak with us. Live means it operates inside VYR's own day-to-day environment. Demo means working software using sample data. Built for you means the workflow is designed and specified in full, then built against your systems on a fixed scope — it is not running yet.
Real backend and current operational evidence on this instance.
Real working software driven by sample business data.
Designed and specified in full. Built for you on a fixed scope.
AI automation workflows running in production today
Each pipeline below includes a short architecture video from the VYR Agent OS YouTube channel. Current badges and console captures are authoritative; a visible note marks the Social video recorded before that pipeline went live.
Content Operations
An eleven-agent chain that researches, drafts, edits, internally links, compliance-checks and queues an article — then stops at a human approval gate.
This is the pipeline that produced the guides on this site. It is deployed against a keyword calendar with a semantic cannibalisation guard — new generation is currently paused behind the approval backlog — and it does not publish anything a human has not cleared.
Explore the live content operations pipeline →Lead Generation
Builds, enriches, deduplicates and verifies B2B prospect lists from public business sources into delivery-ready CSVs.
Email verification is a real mailbox check, not a guess. The agent builds and verifies the list; whether anyone is contacted, on what channel and with what message stays a human decision.
Explore the live lead generation pipeline →AI automation blueprints, built to order by industry
Each of these is a productized blueprint — the stages, the approval boundaries and the integration points are already specified, which is why they are a fixed scope rather than a discovery project. None of them is deployed yet. The screenshots are our own console, and they carry that label in-frame.
Clinics
Appointment, slot confirmation, reminder, check-in, record, billing hold, follow-up.
Inspect the clinic appointment automation blueprint →Invoice Processing
Capture, extract, match against PO, exception queue, approval, post to ledger.
Inspect the invoice processing automation blueprint →Customer Support
Triage, intent classification, draft reply, escalation boundary, human release.
Inspect the customer support triage blueprint →HR Operations
Onboarding checklist, document collection, policy Q&A, leave and claim routing.
Inspect the HR operations automation blueprint →Recruitment Screening
Application intake, structured screening, shortlist, interview scheduling.
Inspect the recruitment screening blueprint →F&B
Reservation, order intake, stock signal, supplier reorder, shift handover.
Inspect the F&B order and reservation blueprint →Tuition Centres
Enquiry capture, trial booking, placement, attendance, parent updates.
Inspect the tuition centre enquiry blueprint →Lead Nurture
Segment, sequence, respond, score, hand to a human at the buying signal.
Inspect the lead nurture automation blueprint →Compliance
Control mapping, evidence collection, gap register, review cadence.
Inspect the compliance evidence blueprint →Beauty & Wellness
Booking, package tracking, rebooking prompt, therapist roster.
Inspect the beauty and wellness booking blueprint →Coming from RPA, or comparing against it
VYR is an implementation team, not an RPA vendor. We do not sell, licence or resell a robotic process automation platform, and we do not resell anyone else's. What we build is the workflow itself — scoped, integrated and governed — whether it replaces an existing robotic process automation deployment or is your first business process automation project.
Where classic RPA struggles
Traditional RPA scripts a fixed sequence of interface steps. It is reliable while the screen, the field order and the file format stay exactly the same, and it breaks when they do not. Maintenance tends to grow with the number of bots.
What we build instead
Agent workflows read the underlying data and systems rather than replaying clicks, so ordinary variation does not stop the run. Anything irreversible waits at a human approval gate — the same gate you can inspect on every pipeline above.
If you are scoping this with a business process automation consultant, or evaluating robotic process automation services against an agent-based build, describe the process in the form above and we will tell you honestly which of the two fits it better. If you would rather read before you speak to anyone, our guide to what AI agents actually automate for Singapore SMEs walks through the same decision, including the parts that stay human.
Tell us which processA sales demo you can talk to
Voice Receptionist
A multilingual booking and enquiry receptionist, running as working software on sample business data.
Real software you can talk to in a sales call. Not deployed against a live booking system.
Try the voice receptionist demo details →Your automation can keep the right business context between tasks
For multi-agent projects, VYR can design a shared memory layer so authorised workflows can reuse approved client and process context instead of starting from zero each time. This can reduce repeated staff hand-offs and inconsistent responses. It is a build-to-order capability and is not wired into VYR's three live pipelines today.
The design uses a shared context store outside the model, with access limited to the people and workflows authorised during scoping. This makes a model provider easier to change without rebuilding all operational context. It is not currently wired into our own running pipelines, and we would rather tell you that than let you assume otherwise.
Approved business context can remain available between sessions, so staff do not need to re-enter the same information for every task.
Business history is designed to sit outside the AI model, making it easier to replace a provider without rebuilding all operational context from scratch.
Stored information can carry a dated source record, helping your team investigate an incorrect answer or understand why a recommendation was made.
Why this is the hard part
| Comparison criterion | Typical agent setup | Build-to-order design |
|---|---|---|
| Memory scope | Per agent, per session | Access defined by person and workflow |
| Survives a restart | No — context dies with the session | Designed to persist approved context |
| Survives a model swap | No — knowledge is trapped in the model's context | Context is designed to sit outside the model |
| Cross-workflow reuse | None. Teams repeat the same hand-offs | Approved context can be reused where access allows |
| Recall method | Whatever fits in the context window | Find relevant history even when wording differs |
| Source record | Usually none | A dated record of when information was added and where it came from |
Shared memory is a build-to-order architecture, not a live VYR capability today. During scoping, we define which people and workflows may access stored context, what is retained, where it is hosted and which model or integration providers may receive data.
Fixed-scope pricing: one platform, simple unit arithmetic
Every package deploys the same hardened Agent OS runtime with human approval gates, audit trails, and the first 3 months of Agent Care included.
Launch
S$2,000
1 workflow automated
One clear bottleneck you already know the name of. Invoice intake, lead routing, support triage.
Operations
S$4,000
3 workflows automated
A team whose week is three recurring processes. Usually finance, sales ops or customer operations.
Scale
S$6,000
5 workflows automated
Multiple functions, one Agent OS, one approval model across all of them.
Need a custom number of pipelines?
Add any extra pipeline for S$1,000 each. Model inference is billed directly by the provider at raw cost — no agency markup.
Who you are dealing with
VYR works as an AI automation consultant first and a build team second. Engagements begin as AI implementation services — scoping one process, agreeing where the automation must stop, then building it. Workflow automation services and ongoing AI automation services follow once the first workflow is live and measured, not before.
Legal entity: VYR PTE. LTD.
UEN: 202610859G
Registered office: 60 Paya Lebar Road, #06-28 Paya Lebar Square, Singapore 409051
Contact: +65 9817 6520
Before deployment, VYR maps systems, access permissions, human approvals, retention, model endpoints, integrations and overseas data transfers. These controls support your own PDPA assessment; they are not a blanket compliance certification.
Planning an EDG-supported automation project?
Agent OS projects can be scoped for Enterprise Development Grant (EDG) support under business process redesign, systems integration and sophisticated automation. Eligible Singapore SMEs may receive up to 50% of qualifying costs, subject to Enterprise Singapore's assessment of the applicant, project scope, expected outcomes and VYR's competency as the solution provider.
The applicant submits and manages its own application through the Business Grants Portal. Funding is not guaranteed, and the project must not begin before the application date. Agent OS is not advertised as a pre-approved PSG solution.
Book a scoping call
Thirty minutes. We will tell you which of the pipelines above is running and which one we would be building for you.
Describe your processOne business day reply, Singapore time.
Questions buyers ask before scoping Agent OS
Including the one most vendors avoid: what is actually running today, and what is not.
Agent OS Singapore: architecture, controls, pricing, and implementation guides
Use these paths to inspect the broader platform, compare the relevant service boundary, understand the release process, and review the Singapore-specific governance and infrastructure context before starting a scope.
Recorded 12 Aug 2026 while this pipeline was still a blueprint. The live read-only command center launched 13 Aug; the current LIVE badge and console capture on this page supersede the video's old status label.
Social Command Center
Reads live FeedHive delivery, audience and measurement evidence for VYR's own campaign without exposing a write control.
The command center cannot create, approve, edit, schedule or delete posts. New FeedHive writes run through a separate fail-closed publisher and require named-human approval bound to the exact copy, image, accounts, labels and schedule.
Explore the live social command center pipeline →