// AUTONOMOUS AI FOR ENTERPRISE

AI AGENTS
IN YOUR ORGANISATION

We don't build chatbots. We deploy autonomous AI agents that think, act, and deliver results across every department in your business.

// NEW TO AI AGENTS?

What Are AI Agents?

Not your ERP. Not a ChatGPT subscription. Not a chatbot. Learn why enterprises need AI agents and how they sit on top of your existing systems.

Read the Full Guide →

// UNDER THE HOOD

How Our Agents Work

Every agent we deploy follows a proven architecture. Here's what happens when you give an agent a task.

01

Task Received

User or system triggers a request — voice call, form submission, scheduled job, or another agent's handoff.

02

Orchestrator Routes

A master orchestrator agent analyses the task, determines complexity, and routes to the optimal specialist agent — or spawns multiple agents for parallel execution.

03

Agent Executes

The specialist agent loads its role definition, connects to relevant tools (CRM, database, calendar), retrieves context from its knowledge base via RAG, and executes autonomously.

04

Result Delivered

Task completed, audit trail logged, result delivered to user or handed to the next agent in the chain. Humans notified for review when guardrails require it.

// THE REAL POWER

Agent Swarms

A single AI agent is useful. A coordinated swarm of specialist agents working in parallel? That's transformational. This is the core of what we build.

ORCHESTRATOR
🔍
💻
✍️
📊
🛡️
🎤
📣
🔧

When a complex task arrives, our orchestrator doesn't hand it to one agent. It decomposes the task, spins up 5, 10, or 20 specialist agents simultaneously, each tackling a piece of the puzzle. They work in parallel — a researcher gathers data while a writer drafts copy while an analyst crunches numbers while a compliance agent reviews everything. Work that takes a team of humans a week gets done in minutes.

How a Swarm Executes

1

Task Decomposition

Complex request comes in. The orchestrator breaks it into independent subtasks — what can run in parallel? What has dependencies?

2

Agent Spawning

Specialist agents are created on-the-fly. Each gets a role, knowledge base, tools, and the optimal AI model for its task. A researcher gets Gemini Flash. A coder gets Claude Sonnet. A writer gets GPT-5.2.

3

Parallel Execution

All agents work simultaneously. They can communicate, share findings, and hand off work to each other. An agent that finishes early can spawn sub-agents for deeper analysis.

4

Consolidation

The orchestrator collects all results, resolves conflicts, synthesises findings, and delivers a unified output — reviewed by a quality gate agent before delivery.

Real-World Swarm Examples

TASK "Prepare a competitive analysis of 5 companies in our market"
SWARM 7 agents spawn: 5 Research Agents (one per competitor, running in parallel) + 1 Analyst Agent (compares findings) + 1 Writer Agent (produces the final report). Done in 8 minutes. A human team? 2-3 days.
TASK "Build and deploy a customer-facing landing page for our new product"
SWARM 6 agents spawn: Strategist (messaging), Writer (copy), Designer (UI/UX), Engineer (code), SEO Agent (optimisation), QA Agent (testing + security). All work in parallel. Live site in under an hour.
TASK "Process this month's 500 invoices and flag anomalies"
SWARM 50 agents spawn: Each processes 10 invoices — OCR extraction, PO matching, policy validation, anomaly detection. One Analyst Agent aggregates results and produces the exception report. Done in 12 minutes. Accounts team? 3 days.
TASK "Onboard 20 new employees starting Monday"
SWARM 20 HR Agents spawn: One per employee — generates welcome packs, creates system accounts, schedules orientation, assigns mentors, sends personalised onboarding sequences. All 20 processed simultaneously. Done in 15 minutes.

This is the difference. Other companies give you one AI assistant. We give you an entire AI workforce that scales to the size of any task — instantly, in parallel, with every agent optimised for its specific role.

// ANATOMY OF AN AGENT

What Every Agent Gets

Every agent we spawn — whether it lives for 5 minutes or runs permanently — is configured with these capabilities.

🎭

Role Definition

A specialised identity and mission: "You are a senior sales analyst at [Company]. Your job is to score leads and recommend actions." Not a generic assistant — a domain expert.

🧠

Knowledge Base (RAG)

Connected to your documents — SOPs, product specs, medical protocols, compliance rules, training materials. The agent doesn't guess — it retrieves authoritative answers from your data.

🔧

Tool Access

CRM, ERP, databases, calendars, email, voice calls, file storage, APIs, spreadsheets. Agents don't just talk — they log into your systems and do the work.

💾

Persistent Memory

Remembers past interactions, decisions, and context across sessions. Your HR agent knows it approved John's leave last Tuesday and that his balance is now 12 days.

🛡️

Guardrails & Escalation

Compliance rules, spending limits, approval gates, and human escalation triggers. The agent knows exactly when to act and when to ask a human.

🧬

Optimal AI Model

Each agent gets the best model for its task. A researcher gets Gemini (fast, cheap). A strategist gets Claude Opus (deep reasoning). Sensitive tasks get Llama 3 (on-premise).

// SWARM INTELLIGENCE

Multi-Agent Orchestration

A single task can trigger an entire swarm of specialist agents working in parallel. Here's a real example:

TASK

"Prepare the quarterly board report"

ORCHESTRATOR
Analyst Agent
Pull financials, calculate KPIs, generate charts
Research Agent
Market trends, competitor moves, industry data
Writer Agent
Draft executive summary, narrative sections
Compliance Agent
Review for regulatory accuracy, flag risks
RESULT

Complete board report delivered in 15 minutes — not 3 days

// ACROSS YOUR ORGANISATION

AI Agents in Every Department

Click any department to see the agents we deploy there.

YOUR
COMPANY
💰
Sales
👥
HR
⚙️
Operations
🎧
Customer Service
📣
Marketing
🔬
Lab / R&D
📊
Finance
🛡️
Compliance

💰 Sales Agents

  • Lead Qualification Agent — Scores inbound leads in real-time using CRM data, conversation history, and predictive models. Hot leads get instant alerts.
  • Follow-Up Agent — Generates personalised follow-up sequences. Drafts emails, schedules calls, tracks engagement. Never lets a lead go cold.
  • Pipeline Intelligence — Forecasts which deals will close and when. Identifies at-risk deals. Recommends next-best-action for every opportunity.
  • Proposal Generator — Drafts customised proposals using product specs, pricing rules, and client context. Ready for review in minutes, not hours.

👥 HR Agents

  • Onboarding Agent — Walks new hires through every step: documents, system access, training schedule, introductions. Zero manual handholding.
  • Policy Q&A Agent — Instant answers from your employee handbook, SOPs, and HR policies. "How many annual leave days do I have?" — answered in seconds.
  • Leave & Attendance Agent — Processes leave requests, checks balances, routes approvals, updates calendars. Fully automated.
  • Document Intelligence — Processes HR documents, extracts data from forms, generates letters and contracts from templates.

⚙️ Operations Agents

  • Workflow Automation — Identifies bottlenecks, routes tasks, triggers approvals, and escalates when SLAs are at risk.
  • Scheduling Agent — Optimises resource allocation, room bookings, shift planning, and equipment scheduling across teams.
  • Process Monitor — Watches operational KPIs in real-time. Flags anomalies before they become problems.

🎧 Customer Service Agents

  • Voice Agent (Multilingual) — Handles calls in English, Bahasa Malaysia, and Mandarin. Natural conversation, not IVR menus. Books appointments, answers FAQs, routes complex issues.
  • Enquiry Router — Classifies incoming requests by urgency and type. Routes to the right team. Provides context so agents never ask "how can I help you?" twice.
  • 24/7 Support Agent — Never sleeps. Handles enquiries at 3am with the same quality as 3pm. Escalates to humans only when genuinely needed.

📣 Marketing Agents

  • Content Generator — Produces blog posts, social media, email campaigns, and ad copy. Healthcare-compliant by default.
  • Campaign Optimizer — A/B tests copy, optimises targeting, adjusts budgets based on real-time performance data.
  • Analytics Agent — Pulls data from Google Analytics, ad platforms, CRM. Generates weekly performance reports with actionable insights.

🔬 Lab / R&D Agents

  • Data Analysis Agent — Processes experimental data, identifies patterns, flags anomalies in cell viability, growth rates, and storage conditions.
  • Protocol Assistant — Instant access to lab protocols, SOPs, and safety procedures via natural language queries.
  • Predictive Modelling — Our proprietary cell viability prediction model — first-of-its-kind in biotech AI.

📊 Finance Agents

  • Invoice Processing — Extracts data from invoices, matches to POs, routes for approval, flags discrepancies. OCR + AI, not manual entry.
  • Expense Agent — Categorises expenses, enforces policy limits, generates reports, flags unusual spending patterns.
  • Reporting Agent — Pulls from multiple data sources, generates financial dashboards, delivers daily/weekly briefings to management.

🛡️ Compliance Agents

  • Regulatory Monitor — Continuously scans your operations against MOH guidelines, PDPA requirements, and industry regulations. Flags violations before auditors find them.
  • Audit Preparation — Compiles documentation, generates compliance reports, identifies gaps, and recommends remediation steps.
  • Medical Claims Review — Validates healthcare marketing content against medical advertising regulations. No non-compliant content goes live.

// THE BRAIN BEHIND THE AGENTS

Our Model Stack

We don't rely on a single AI model. Every task is routed to the optimal model based on complexity, speed, cost, and data sensitivity.

☁️ FRONTIER MODELS (Cloud)
ANTHROPIC

Claude Opus 4

Deep strategy, complex reasoning, architecture decisions, critical analysis. The heavyweight for decisions that matter.

ANTHROPIC

Claude Sonnet 4.5

Code generation, data analysis, structured output. Best speed-to-quality ratio. Our workhorse for engineering tasks.

OPENAI

GPT-5.2

Creative writing, persuasive copy, marketing content. The strongest prose engine for client-facing communications.

GOOGLE

Gemini 2.5 Pro

Complex research, multi-step reasoning, long context. Processes entire codebases and document sets.

GOOGLE

Gemini 2.5 Flash

Bulk research, data gathering, summarisation. Ultra-fast, ultra-cheap. Runs thousands of queries at negligible cost.

🏢 ON-PREMISE MODELS (DGX Spark)
NVIDIA / META

Llama 3 (70B–200B)

Local LLM inference. Zero data leaves your building. PDPA compliant by architecture. Running on NVIDIA DGX Spark with vLLM.

OPENAI / LOCAL

Whisper (On-Premise)

Speech-to-text, multilingual transcription. Process voice recordings locally — patient calls never leave your network.

LOCAL

Embedding Models

Document embeddings for RAG pipelines running entirely on-premise. Your knowledge base indexed locally.

⚡ Intelligent Model Routing

Our orchestrator automatically routes each task to the best model. A quick FAQ answer goes to Gemini Flash (fast, cheap). A board-level strategy analysis goes to Claude Opus (deep reasoning). Sensitive patient data stays on Llama 3 (on-premise). You never think about which model — the system optimises automatically.

// AI-NATIVE PLATFORMS

Custom CRM Systems with Embedded AI

We don't plug AI into existing CRMs. We build custom platforms with intelligence baked into every layer.

Meet Clarify

Our flagship sales intelligence platform, built for CryoCord Group — Malaysia's largest stem cell bank.

  • AI agents live inside the CRM, not bolted on
  • Real-time ML lead scoring — not static rules
  • Every interaction analysed: calls, emails, meetings
  • Predictive pipeline: AI forecasts which leads convert and when
  • Auto-generated follow-ups, proposals, nurture sequences
  • Natural language: "Show me Johor leads not contacted in 2 weeks"
  • Compliance built-in: healthcare advertising rules, PDPA, consent tracking

Your business deserves a CRM that thinks. Let's build it →

Clarify — Sales Intelligence
847
Active Leads
73%
Conversion Rate
RM 2.4M
Pipeline Value
AI Lead Scoring Distribution
🤖 AI Insight: 12 leads in Johor showing high engagement — recommend outbound call campaign this week. Predicted close rate: 34%.

// NOT JUST HEALTHCARE

Enterprise AI for Every Industry

NovaGenAI started in biotech — but our agent architecture deploys anywhere. We're putting real AI into corporate hands.

🏥

Healthcare & Biotech

Voice agents, patient management, lab intelligence, compliance automation

🏦

Financial Services

Risk assessment, document processing, compliance monitoring, client advisory

🏭

Manufacturing

Quality control, supply chain optimisation, predictive maintenance, safety monitoring

⚖️

Professional Services

Document intelligence, contract analysis, client communications, billing automation

🏗️

Property & Real Estate

Lead management, property matching, tenant communications, portfolio analytics

🚚

Logistics

Route optimisation, warehouse management, demand forecasting, carrier coordination

If your business runs on people, processes, and data — we can deploy AI agents that make all three better.

// HOW WE DEPLOY

From Zero to Live Agents

01

Discovery

We map your workflows, pain points, and data landscape. Where are humans doing work that AI should handle?

02

Design

Architect agent roles, data flows, tool integrations, and guardrails. You approve every decision before we build.

03

Deploy

On-premise or cloud — your choice. Agents go live with monitoring, logging, and human oversight from day one.

04

Optimise

Continuous learning. We monitor performance, refine agent behaviour, and scale to new departments as you grow.

// ENTERPRISE SECURITY

Guardrails & Governance

🔒 Data Sovereignty

Sensitive data processed on-premise via DGX Spark. Patient records, financials, and HR data never leave your building.

👤 Human-in-the-Loop

Critical decisions require human approval. Agents escalate — they don't override. You define the escalation triggers.

📋 Full Audit Trail

Every agent action is logged: what it did, why, which data it accessed, which model it used. Complete accountability.

🔐 Role-Based Access

Agents only access what they need. A sales agent can't see HR records. A marketing agent can't access financials.

📊 Data Classification

Automatic routing: sensitive data stays on-premise, non-sensitive tasks use cloud models for best-in-class capability.

🇲🇾 PDPA Compliant

Built for Malaysian data protection law from day one. Consent tracking, data residency, right-to-deletion — all handled.

Ready to Deploy AI Agents?

Whether you need one agent or an entire swarm — let's talk about transforming your operations.

Book a Demo →