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AI Nova Apps

AI & Machine Learning

AI Agent Development & Workflow Automation

Delegate repetitive, multi-step work to AI agents that read, decide and act in your business systems — while your team stays in control of what matters.

  • Free consultation & estimate
  • NDA on request
  • Senior team in Islamabad

At a glance

Simple workflow
Often live in 1–2 weeks
Custom AI agent
Typically 4–10 weeks
Starting from
≈ US$500 per simple workflow
Platforms
n8n, Zapier, Make or custom agents
Safeguards
Human approval for high-risk actions
Overview

About This Service

A large share of office time goes into moving information between systems: reading emails, copying invoice details into accounting software, updating CRM records, chasing approvals. AI agents can now take on much of this work. Unlike traditional scripts, they understand unstructured inputs, choose the right tool for each step and recover when something unexpected happens.

We design agentic workflows on platforms like n8n and Zapier where they fit, and build custom agents where you need more control. Every agent has clearly scoped permissions, human approval for sensitive actions, and logs that show exactly what it did and why.

Capabilities

What We Offer

Everything included when you work with AI Nova Apps.

  • Custom AI agents with tool use and API access
  • Multi-step agentic workflows with human approval steps
  • Email, document and invoice processing automation
  • n8n, Zapier & Make workflow design and hosting
  • CRM, ERP and help-desk automation
  • RPA replacement with API- and AI-based automation
  • Model Context Protocol (MCP) servers for your internal tools
  • Monitoring dashboards, audit logs and error alerts
Why It Matters

Key Benefits

  • Hours of manual data entry eliminated every week
  • Faster turnaround on approvals, quotes and onboarding
  • Fewer copy-paste errors between systems
  • Automations that cope with messy, real-world inputs
  • Full visibility and control over every automated action
Tech Stack

Technologies We Use

Proven, modern tools chosen for performance, security and long-term maintainability.

  • LangGraph
  • OpenAI Agents SDK
  • Claude Agent SDK
  • Model Context Protocol (MCP)
  • CrewAI
  • n8n
  • Zapier
  • Make
  • Temporal
  • Playwright
  • Python & Node.js
  • PostgreSQL & Redis
Industries

Industries We Serve

  • Finance & Accounting
  • Logistics & Supply Chain
  • Real Estate
  • Recruitment & HR
  • E-Commerce Operations
  • Insurance
  • Professional Services
How We Work

Our Process

A clear, step-by-step delivery process with working software at every stage.

  1. Step 1: Process audit

    We shadow the workflow, measure time spent per task and rank automation candidates by value and risk.

  2. Step 2: Agent & workflow design

    Each step is mapped to a tool, a rule or an AI judgement, with approval points and failure handling defined upfront.

  3. Step 3: Build & connect

    We build the agent or workflow, connect it to your apps through APIs or MCP, and issue least-privilege credentials.

  4. Step 4: Shadow-mode testing

    The automation runs alongside your team, proposing actions without executing them, until its accuracy is proven.

  5. Step 5: Go live & monitor

    Execution is switched on step by step, with dashboards, alerts and a monthly review of exceptions.

Ready to Get Started?

Tell us about your idea and get a free consultation, a clear plan and a transparent estimate — no obligation.

Contact Us Today

From simple automation to autonomous AI agents

Not every task needs an AI agent. If a process follows the same rules every time — "when a form is submitted, create a CRM contact and send a welcome email" — a standard workflow is faster, cheaper and easier to maintain. AI earns its place when inputs are unstructured or decisions need judgement: reading a supplier's email, working out which department it belongs to, extracting the relevant figures and drafting a reply.

We follow a simple rule: automate deterministically where you can, add AI where you must, and keep a human in the loop where the stakes are high.

What our AI agents do

  • Inbox triage: classify incoming emails, extract details, create tickets or orders and draft responses for review.
  • Document processing: pull data from invoices, purchase orders, CVs, bank statements and contracts into your systems.
  • Sales operations: enrich leads, update CRM records, prepare quotes and schedule follow-ups.
  • Finance workflows: reconcile transactions, flag anomalies and prepare reports for approval.
  • Research and reporting: gather information from internal data and the web, then compile structured summaries.

n8n, Zapier or a custom agent?

We're platform-neutral and recommend based on volume, complexity and data sensitivity:

  • Zapier or Make suit quick, low-volume integrations between popular SaaS tools.
  • n8n is ideal when you want visual workflows, built-in AI nodes and the option to self-host so data stays on your own servers.
  • Custom agents built with frameworks such as LangGraph or the OpenAI and Claude agent SDKs are best for complex reasoning, high volumes, strict security or deep integration with proprietary systems.

Replacing brittle RPA

Traditional robotic process automation clicks through screens and breaks whenever a button moves. Where possible, we replace screen-scraping bots with direct API integrations and use AI to absorb the variation — different invoice layouts, free-text emails — that used to end up as manual exceptions. When a legacy system has no API, we use modern browser automation with AI-assisted recovery instead of fragile, coordinate-based scripts.

Safe by design

An agent that can act inside your systems needs firm boundaries. Ours run with least-privilege credentials, spending and volume limits, and mandatory approval for actions such as payments, deletions or external emails. Every step is logged so decisions can be audited, and our security team reviews integrations before go-live, including tests for prompt injection.

The language understanding behind each agent comes from our LLM development work, and customer-facing agents often start life as an AI chatbot. If you're still deciding where AI fits, our AI development services start with a discovery workshop.

Start with one process

The best first candidate is usually a high-volume, rules-heavy task that your team dislikes — data entry from emails or PDFs is a classic. Prove the value there, then expand. Read our case studies or book a process audit with our automation team in Islamabad; we work with businesses in Pakistan, the USA, the UK, the UAE and Saudi Arabia.

FAQs

Frequently Asked Questions

How much does AI workflow automation cost?

Simple workflows on n8n, Zapier or Make typically cost $500–$3,000 each to design and build. Custom AI agents that integrate with several systems, include approval flows and handle unstructured documents usually range from $8,000 to $35,000. Platform subscriptions and AI usage are billed separately and are usually small compared with the staff time saved.

What's the difference between an AI agent and a chatbot?

A chatbot mainly converses: it answers questions and collects information. An AI agent works towards a goal by taking actions — calling APIs, updating records, generating documents — often without any live conversation at all. Many solutions combine both: a chatbot front end with agents doing the work behind it.

Can AI agents make mistakes?

Yes, which is why we design for it. Agents start in shadow mode, high-risk actions require human approval, outputs are validated against business rules, and anything uncertain is routed to a person. We track accuracy and expand autonomy only when the data supports it.

How long does it take to automate a business process?

A single workflow on n8n or Zapier can often be live within 1–2 weeks. A custom AI agent with multiple integrations and a shadow-testing period typically takes 4–10 weeks.

Can automations be self-hosted so our data stays in-house?

Yes. n8n and our custom agents can run in your own cloud account or on your own servers, paired with open-source language models if you need data to stay entirely within your infrastructure.

Will automation replace our staff?

In our experience it mostly removes the tedious parts of jobs — data entry, copy-pasting, chasing status updates — so people can spend more time on customers, exceptions and decisions. We involve the people doing the work today from the start, because they know where the edge cases are.
Ways to work with us

Engagement Models That Fit How You Build

Every engagement starts with a free scoping call. We recommend a model based on how clear your requirements are and how much control you want over the team.

  • Fixed-Price Project

    A defined scope, timeline and price agreed up front, delivered in milestones you sign off. Change requests are estimated before any work starts, so the budget never moves without your approval.

    Best for: MVPs and projects with clear, stable requirements

  • Dedicated Team

    A full-time team — engineers, designer, QA and a project manager — working only on your product, in your tools and rituals. You set priorities each sprint; we handle hiring, retention and delivery quality.

    Best for: Long-term products and growing roadmaps

  • Time & Materials

    Pay for the hours actually worked, billed against a shared backlog and transparent timesheets. Ideal when the product is still being discovered and you want to adapt the plan as you learn.

    Best for: Evolving scope, R&D and post-launch iterations

  • Team Augmentation

    Add one or more vetted developers to your existing team to close a skills gap or hit a deadline. They join your stand-ups and follow your engineering standards from day one.

    Best for: In-house teams that need extra capacity fast

Free quote

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Tell us about your idea. A senior engineer replies within one business day with questions, a rough estimate and suggested next steps — no obligation.

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