Not automation. Intelligence.

Traditional automation follows scripts. Agentic AI reasons, decides, and adapts.

Traditional Automation (RPA)

  • Follows rigid, pre-defined scripts
  • Breaks when UI or data changes
  • Can't handle exceptions
  • Requires constant maintenance
  • No understanding of context

Agentic AI (Qsome)

  • Reasons about goals and outcomes
  • Adapts to changes autonomously
  • Handles edge cases intelligently
  • Self-maintains and improves
  • Understands business context

How Agentic AI works

🎯

Orchestrator

A central coordinator that understands your business goals, routes tasks to specialized agents, and ensures workflows complete successfully.

🤖

Specialized Agents

Purpose-built agents for specific systems and tasks like CRM agent, ERP agent, document agent, approval agent each serving as an expert in its domain.

🔧

Tool Library

Pre-built integrations with your existing systems. Agents use tools to read, write, and take action across your entire tech stack.

Human-in-the-Loop by Default

Every deployment starts with human oversight. Agents flag uncertainty, request approvals, and escalate exceptions. As confidence grows, autonomy increases, but humans always retain control over critical decisions.

Where Agentic AI excels

📊

Cross-System Workflows

Agents coordinate processes that span multiple systems, from quote to invoice to payment reconciliation, handling handoffs automatically.

📧

Email & Communication Processing

Parse inbound emails, extract intent and data, route to appropriate systems or people, and draft responses for approval.

Approval Orchestration

Chase approvers, escalate delays, route based on delegation rules, and ensure nothing gets stuck in someone's inbox.

🔄

Data Reconciliation

Compare records across systems, identify discrepancies, resolve simple conflicts automatically, and flag complex ones for review.

📦

Supplier & Vendor Management

Process POs, match invoices to receipts, handle discrepancies, and maintain supplier communication loops.

📋

Compliance & Audit Prep

Assemble documentation from connected systems, verify completeness, and pre-package audit evidence before you're asked.

Built on proven infrastructure

Enterprise-grade architecture using industry-leading AI and integration technologies.

AWS Bedrock Claude (Anthropic) MCP Protocol Zoho Ecosystem REST APIs Webhooks OAuth 2.0 Full Audit Trails

Security & Compliance

All agent actions are logged with full audit trails. Data stays within your infrastructure. Role-based access controls. SOC 2 compliant deployment options.

Custom MCP Tools

We build bespoke tools for your specific systems using the Model Context Protocol, giving agents capabilities tailored to your exact needs.

Get Started

Ready to deploy intelligent agents?

Let's identify the highest-impact workflow and build your first agent team.

Schedule a Discovery Call