Put agentic AI to work.Meet CloudtriX.

Most software still waits for someone to click. CloudtriX builds AI agents that read the work in front of them, take the next step inside rules you set, and hand the exception back to your team.

Agentic AI Trusted controls Custom software Product engineering Offshore teams Mobile Internet of Things

AI, where the world’s work already is.

Banks, hospitals, factories, and public services run on cases. AI matters when the next step in those cases can happen at the volume the world already produces.

The work is already there.

A file, a rule, and a next step. Most of that still waits for a person to open it. AI is how the same careful step can be taken again and again, while a person keeps the decision that carries risk.

Where it fits
People reviewing case files at an operations desk

The shift

Software that can take the next step.

An agent is not a chatbot parked beside the product. It is a worker with a narrow job: read a situation, use the tools it is allowed to use, and either act or stop. CloudtriX designs that job, then builds the system that holds it.

  1. 01
    People

    Stay on the decisions that carry risk, money, or a customer.

  2. 02
    Policy

    A written boundary for what the agent may see, decide, and change.

  3. 03
    Agent

    Reads the case, chooses a next step, and prepares or completes it.

  4. 04
    Systems

    The records, inboxes, and APIs it is actually allowed to touch.

  5. 05
    Record

    Every action leaves a trace: input, outcome, and who approved it.

Understand. Act. Hand it back.

Three things we insist on before an agent is allowed near a live workflow. If one of them is missing, it is not ready.

01

Understand the work

The agent sees the same facts a careful person would: the record, the policy, the history. Not a scraped guess of your business.

02

Act inside the role

It can draft, file, update, notify, or call a tool — only the actions named in its job. New authority is a decision, not a side effect.

03

Stop on purpose

Low confidence, missing data, or a rule exception ends in a person. The handoff includes what the agent already found.

A working pattern

A lending desk, after the agent.

We know this domain from Cashterm, our loan management product: schedules, repayments, collections, and staff roles. Here is the shape of an agent on that kind of desk. It prepares the work. Staff still own the decision.

Illustration · collections workflowPolicy in force
  1. READ

    A borrower asks to move a repayment date. The agent opens the loan, the schedule, and the fee rules.

  2. ACT

    The request sits inside policy. The agent drafts the new schedule and the note for the file.

  3. HOLD

    A second request would waive a penalty. That is outside the role. It is assigned to a branch manager with the context attached.

  4. LOG

    Both paths are recorded: what was read, what was drafted, and who has the exception.

One workflow, then the next.

We do not begin with a platform tour. We begin with a process you can point at, and we widen only after that agent is reliable.

01 — Frame

Name the work

One process. The cost of doing it by hand. The decision that must stay human.

02 — Prove

A working slice

An agent against your real tools, judged on accuracy and time returned — not on a demo script.

03 — Bound

Put controls on it

Identity, permissions, logging, and a path for escalation before anything runs unattended.

04 — Run

Keep it in production

The same engineers watch outcomes, tighten the role, and expand only when the last step holds.

Engineering, still underneath.

Agentic work fails when the systems around it are brittle. CloudtriX still designs and builds those systems.

Software

Custom platforms

Outsourced delivery or a product of your own. Business analysis, interface design, engineering, and QA on one team.

Product engineering →
Mobile

iOS and Android

Applications that do more than display a screen — including the place a person approves what an agent prepared.

Mobile →
Connected

IoT and cloud

Device events, microservices, and the data an agent needs in order to act without guessing.

Internet of Things →

Offshoring

Offshore developers, on your team.

Engineers in Colombo join your backlog, your repository, and your standups. You keep the product. We supply people who can ship it, including the agent on top.

01

A dedicated developer

One engineer on your squad. Your board, your reviews, your definition of done. Useful when you need capacity without hiring locally.

02

A dedicated squad

Engineering, and design or QA when the work needs them. One person on our side is your counterpart. The rest of the team stays on the product.

03

A defined project

A piece of the system with a boundary: a platform, a mobile app, an integration, or the first agent. Short iterations, so you see it move.

Direction

You set the work

Priorities, access, and production stay with you. We do not take the product away to a separate factory.

Tools

Your stack

JavaScript, Java, mobile, cloud, and the services an agent has to call. We join the repo you already use.

Hours

A planned overlap

Colombo overlaps the Middle East and the European afternoon, and the working day across much of Asia. We agree the shared hours before anyone starts.

People

Names, not a bench

You meet the engineers. If the fit is wrong, we say so before the engagement, not after a quiet month.

How the team works

Short iterations. Visible progress.

Talent matters. The work ships because the team can see it. We practice test-driven development, continuous integration, and scrum, in iterations short enough that you are never waiting on a reveal.

Precise teamwork

Designers, engineers, and the people shaping the agent sit on the same problem. Handoffs are the exception.

Creativity as a practice

The interface, the policy, and the workflow get the same attention. An agent people cannot understand will not be trusted.

Start with one workflow

Tell us the work you want taken off the desk.

A conversation is enough to start. Bring a process, a backlog, or a product that should be able to act. We will tell you honestly if an agent belongs there.