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iSOFTSTUDIOS

AI agent development for work that needs understanding, not just rules.

An AI agent is software that reads a request, decides which of your tools to use, and prepares a result. We build custom AI agents that work inside your existing systems with clear limits: read-only by default, structured outputs, and a person approving anything that matters.

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Custom AI Agents

  • Tool-using agents
  • Grounded in your data
  • Human-in-the-loop approvals
  • Evaluation and monitoring

Custom AI agents we build

  • Request triage agent

    Reads incoming emails, chats or tickets, works out what is needed, gathers context from your systems and routes it with a summary.

  • Research and preparation agent

    Pulls information from your CRM, documents and the web to prepare account briefs, proposals or meeting notes for a person to review.

  • Operations assistant

    Checks orders, bookings or stock, spots exceptions and prepares the next action, such as a draft message or a correction for approval.

  • Internal knowledge agent

    Answers staff questions from policies, manuals and past projects, linking to the source so answers can be verified.

Project example

CEO Command Center: an AI agent with confirm-before-act

Our CEO Command Center is an AI agent a CEO talks to by voice or text. It reads live data from the team's tools to answer open questions, and proposes actions such as creating a task, sending an email or booking a meeting, which it carries out only after approval.

  • Next.js
  • n8n
  • Claude / Gemini
  • Jira
  • Gmail
  • Google Calendar
  • Salesforce
  • Open questions answered from live Jira, calendar, email, sales and HR data, not a fixed list of commands.
  • Conversation memory, so follow-ups like "what about her tasks?" resolve correctly.
  • Every write action is summarised in plain language and executed only after a spoken, typed or clicked yes.
  • Works in English, Urdu or Roman Urdu, hands-free with a wake word, or by typing.

Agentic workflow automation, built to be trusted

Agents are powerful because they can decide what to do next, and risky for the same reason. We design every agent around a short list of allowed tools, each one a specific, validated action such as "search orders" or "create draft ticket". The agent cannot do anything outside that list.

GuardrailWhat it prevents
Least-privilege tools (read-only first)Accidental changes to your data
Structured, validated outputsBroken downstream steps and hidden errors
Human approval for write actionsCostly or customer-facing mistakes
Spend and step limits per runRunaway loops and unexpected bills
Full logging of decisions and tool callsUntraceable outcomes; enables review and audit

How we build an AI agent

  1. 01

    Define the job

    One clear responsibility, the inputs it receives, the tools it may use and what a correct result looks like.

  2. 02

    Build an evaluation set

    Real examples with expected outcomes, so every change to prompts, tools or models is measured, not guessed.

  3. 03

    Prototype with read-only tools

    The agent prepares results for people to review, which builds trust and produces data for improvement.

  4. 04

    Add approved actions

    Write actions are added behind approvals and validation, and low-risk cases can be automated once accuracy is proven.

  5. 05

    Monitor in production

    Dashboards for quality, cost and failure rates, with alerts and a weekly review of samples.

AI agent technology

  • OpenAI
  • Anthropic
  • Google models
  • n8n AI agent nodes
  • Python
  • Node.js
  • Vector search / RAG
  • Your APIs and databases

Simple agents often live inside an n8n workflow; agents with complex logic, high volume or strict requirements are built as Python or Node.js services. Either way they connect to your systems through their APIs.

More AI Automation

Related solutions.

We put your business front & center

Our Approach

We believe in a collaborative, transparent process that puts your goals first. From discovery to delivery, we work alongside you every step of the way.
  1. 01

    Tell us what problem you're trying to solve

    Gain insights, optimize operations, and save costs. We're here to help.

  2. 02

    We'll match you with the right developer or team

    Connect with skilled developers and expert teams to drive your project.

  3. 03

    Let's collaborate, test, iterate, and repeat

    We're collaborative, an extension of your team for our clients.

  4. 04

    Get a world-class solution, custom-built for you

    27+ clients, 100+ projects, 3K+ releases – solving business needs together.

From the blog

Guides on AI Agent Development.

FAQ

AI Agent Development questions.

Something else on your mind? We are happy to talk it through.

Ask us directly
What is an AI agent?

An AI agent is software that uses a language model to understand a task, decide which allowed tools to use, and produce a result, for example triaging a request, researching information across systems or preparing a draft for approval.

What is the difference between an AI agent and a chatbot?

A chatbot mainly answers questions in a conversation. An AI agent works on tasks: it can look up records, combine information from several tools and prepare or take actions within limits you set, often without a chat interface at all.

Are AI agents safe to use with our systems?

They are when designed with guardrails: read-only tools by default, validated structured outputs, human approval for actions that change data or cost money, spend limits and full logging.

How long does it take to build a custom AI agent?

As an estimate, a focused read-only agent for one task can be prototyped in a few weeks, including an evaluation set. Adding approved actions and integrations to more systems takes longer.

Do you build AI agents with n8n or code?

Both. Simpler agents run inside n8n workflows; agents with complex logic, high volume or strict security needs are built as Python or Node.js services.

Can you hire AI agent developers for our existing team?

Yes. You can engage us for a defined agent project or add dedicated AI developers to your team on a monthly plan, with working hours that overlap with the USA, UK, Middle East or Australia.

Explore more

Related services.

Start a project

Have a project in mind?

Tell us what you are building. We reply within one business day with next steps.

What happens next?

  1. 1

    Tell us what problem you're trying to solve

    Gain insights, optimize operations, and save costs. We're here to help.

  2. 2

    We'll match you with the right developer or team

    Connect with skilled developers and expert teams to drive your project.

  3. 3

    Let's collaborate, test, iterate, and repeat

    We're collaborative, an extension of your team for our clients.

We reply within one business day.

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