Custom AI agents
Autonomous and human-in-the-loop agents that plan, call tools, and complete multi-step tasks — grounded in your data, with guardrails and full audit trails.
All services
AI agents · Workflow automation
AI agents that run the busywork.
Custom AI agents, assistants, and automations wired into the tools you already use — so your team stops doing what software should.
★★★★★ 5.0 on Clutch · 50+ projects · 20+ clients · since 2021
What we build
Agents, assistants, and automated pipelines.
LLM assistants & copilots
Retrieval-augmented chat assistants and in-app copilots trained on your knowledge base, so staff and customers get accurate answers instead of a search box.
Workflow & process automation
Event- and schedule-driven pipelines that move data between your CRM, docs, email, and internal tools — the n8n / Zapier-class integrations, built to production standards.
Document & data automation
Extraction, classification, summarization, and generation over invoices, contracts, tickets, and reports — turning unstructured piles into structured, actionable records.
Voice & conversational AI
Real-time voice agents and chatbots — an extension of our AI avatar work — that handle intake, triage, and support with a natural, on-brand voice.
Integration & internal tooling
The glue and the dashboards: secure API integrations, internal admin tools, and the observability to trust an automation in production.
Virtual Verse Studio is an AI automation agency: we design and engineer custom AI agents, LLM-powered assistants, and end-to-end workflow automation that take the repetitive, high-volume work off your team. Where our immersive practice builds worlds you step into, our automation practice builds the quiet systems that run underneath your business — reading, deciding, drafting, routing, and acting across the tools you already use.
We are not a reseller of a single no-code platform. We architect the right solution per problem — a retrieval-augmented assistant grounded in your documents, an autonomous agent that chains tools to complete a task, or a deterministic pipeline that moves data between systems on a schedule or a trigger. Every engagement is scoped around a measurable outcome: hours returned, response times cut, error rates dropped — not a demo that impresses once and never ships.
The work
Automation that plugs into your real stack.
Across our AI & immersive work
AI woven through real products, not slideware
From LLM-powered digital humans that hold a conversation to the data and integration layers behind our enterprise worlds, we have shipped AI into products people actually use. That same engineering discipline — grounding, evaluation, guardrails, monitoring — is what we bring to an automation engagement, so an agent you deploy on Monday still behaves on Friday.
“We integrate directly into your version control, project management, and communication stack — operating as a seamless extension of your in-house team.”See the work →
How we work
From first workflow to a system that runs itself.
Discovery call
A free 30-minute scoping conversation. We map the workflow, the tools it touches, the volume, and the outcome you need. No NDA required to start.
Scope & proposal
A detailed scope and fixed-fee or milestone proposal within a week — with the model choice, integration list, data-handling plan, and a clear success metric.
Prototype
A working agent or pipeline against your real (sandboxed) data in 2–3 weeks, so you can judge accuracy and fit before we commit to the full build.
Build & harden
Production engineering: guardrails, evaluation sets, human-in-the-loop checkpoints, logging, and monitoring — the difference between a demo and a system you can trust.
Launch & lifetime support
Deployment into your stack, team enablement, and ongoing tuning as your data and the models evolve — lifetime technical support on everything we ship.
Stack · platforms & tools
The technology behind it
Trusted by enterprises, institutions & studios
- National Bank of Kuwait
- Meta
- Road Safety Authority Ireland
- Cubicle Ninjas
- Nova Slides
- Seat Unique
- Immersive Exposure
- Work Spatial
- Veem
FAQ · questions
What XR buyers ask us
What does an AI automation agency actually build?
We build three broad things: custom AI agents (systems that reason and take actions across your tools), LLM assistants (chat and in-app copilots grounded in your data), and workflow automation (deterministic pipelines that move and transform data on triggers or schedules). Most engagements combine them — for example, an agent that reads incoming email, extracts the request, drafts a reply, and files the record, with a human approving the send.
How much does custom AI automation cost?
We scope every project as a fixed-fee or milestone engagement. A focused single-workflow automation or a scoped assistant typically starts in the low-to-mid five figures; multi-agent systems with deep integrations, evaluation, and production monitoring are larger. You always get a detailed proposal with a clear success metric before any work begins — no hourly surprises.
How long does an automation project take?
A working prototype against your real data usually lands in 2–3 weeks. A production-ready single-workflow automation ships in 6–10 weeks; larger multi-agent or multi-integration systems run 3–6 months with continuous delivery.
Will our data be used to train public models?
No. We architect around your data-handling requirements — enterprise API tiers with no-training guarantees, private or self-hosted models where policy demands it, and your own cloud tenancy when required. Data flows and retention are documented in the proposal and we sign mutual NDAs for protected data.
Do you use no-code tools like n8n and Zapier, or custom code?
Whichever is right for the problem. For straightforward integrations we build on n8n, Zapier, or Make so you can own and edit them; for anything requiring reasoning, custom logic, or scale we write code (Python / TypeScript) with proper testing and monitoring. We are transparent about the trade-offs and hand over documentation either way.
How do you keep an AI agent from making mistakes?
Reliability is engineering, not luck: retrieval grounding so answers cite your sources, evaluation sets that catch regressions before deploy, guardrails and allow-lists on the actions an agent can take, human-in-the-loop checkpoints for high-stakes steps, and logging plus monitoring so you can see exactly what ran and why.
Do you own the IP of what you build?
You do. All custom code and configuration transfer to you on final acceptance under a standard work-for-hire clause. Pre-existing tooling and third-party libraries remain under their own licenses, and we can operate entirely under your paperwork.
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Let’s scope your project.
Tell us about your world — we’ll scope it, design it, and deliver it end to end. Honest timeline, budget range, and the right platform.