ThinkBeyond · Singapore
Enterprise AI agents
that do the work
Two products in production. One beside your people, one in front of your customers.
Most AI stops at advice. The work still lands on your people.
The gap was never intelligence. It is trust.
A chat assistant
- Answers the question
- Leaves the doing to you
- Stops at the edge of your systems
- Leaves nothing behind
An agent that works
- Carries the task to a result
- Acts inside your systems
- Pauses where judgement is needed
- Leaves a complete record
One philosophy, two products
The same engineering, inside and out.
Gump — Enterprise AI Agent Platform
Work assigned in plain language, from the chat tool your team already uses.
- Research, drafting, analysis, operations
- Personal and team agents, built without code
- Work that starts itself
AI CS Agent — Multilingual Support
Support that answers from a live account, and knows when to hand over.
- Every language your users write in
- Grounded in the user's real state
- Hands over the moment risk appears
The design principle
AI does the work.
People make the call.
The expertise stays with the organisation.
Guesswork is not discouraged here. It is engineered out.
Gump
An agent platform your team already knows how to use
A runtime where an agent holds a role, carries real permissions, and leaves a record.
Lives in chat
Assigned by message. Summoned in a channel.
Runs in the cloud
Work continues after the laptop closes.
Bounded by identity
It reaches what its owner reaches. No further.
Built by anyone
Described in plain language. No code.
From one person to the whole team
The last step is the one that compounds.
Three layers, deliberately decoupled
Decoupled, so the platform grows without a migration.
- Permission is identity — an agent reaches exactly what its owner reaches
- Isolated by design — each person's context stays their own
- On record — what matters waits for a named approver
- Accountable by default — every step attributed
AI CS Agent
Support that answers from data
Built where users span dozens of languages and a wrong answer is expensive.
Speaks their language
Answered in the language they wrote in.
Checks, then answers
Checked against the live account first.
Cites its source
Bound to an official source, every time.
Knows when to stop
Risk goes to a person. Immediately.
Four layers, with the guardrails in the server
The model understands. The server decides what it may reach.
Escalation, replay and knowledge review run quietly alongside.
Built for places where the answer itself is regulated
Being right is not enough. You have to be able to show why.
Data and privacy
- Read-only, scoped to the signed-in user
- Sensitive detail filtered before it is ever seen
- Nothing about a user inferred, anywhere
Conduct guardrails
- No commentary where comment is not ours to make
- No comparison, no circumvention
- No answer at all where no source exists
Auditability
- Every decision the agent made
- Every system it touched
- Every conversation, replayable
Quality is measured, not assumed. Real cases replayed before release; every conversation reviewed after.
Adoption
Light to adopt. Nothing to rebuild.
No migration, no new account model, no change to the systems you connect.
Nothing deployed on your side
A managed cloud service. Install it and it is live.
Connected over an open protocol
A new system needs an interface, not a new platform.
Permissions follow the person
It runs on the authorisation that person already has.
Typically connected
Proven in production, not in a pilot
Across a whole company
Engineering, product, operations, growth and support — an ordinary day.
Inside the software lifecycle
Part of the pipeline itself, not a tool sitting beside it.
Carrying real user volume
Live tickets, with a person confirming what goes back.
Both products run today inside a global consumer platform, in a regulated sector.
Named references and operating detail available under NDA.
Why us
Why teams choose ThinkBeyond
Agents, not answer boxes
A role, real permissions, a complete record.
Proven where it counts
Built where a wrong answer carries a real cost.
Validated on both sides
Employees inside, customers outside. One engineering team.
Open and replaceable
Open protocols. Every layer swappable, on its own.