TITAN Nexus — Enterprise AI Automation Platform

One Intelligence. Infinite Possibilities.

TITAN Nexus is an AI-powered automation platform designed to help businesses streamline workflows, coordinate intelligent AI agents, manage approvals, and monitor task execution from one centralized dashboard.

What TITAN Nexus Can Do

AI Agent Orchestration: Coordinate specialized AI agents for different business tasks.

Workflow Automation: Build and manage multi-step processes to reduce repetitive manual work.

Smart Task Execution: Plan tasks, execute authorized tools, track results, and handle errors.

Approval & Security Controls: Manage permissions and require approval for sensitive operations.

Real-Time Monitoring: Track workflow status, execution history, and system activity.

Data & Backup Management: Support persistent task records, backup exports, and recovery workflows.

Integration-Ready Architecture: Designed to support external business tools and services as connections are configured.

Our Mission

To make business automation more accessible, organized, secure, and scalable by bringing AI agents, workflows, and operational visibility together in one platform.

Built by Shubham Tripathi

TITAN Nexus — Smarter Workflows. Greater Control. Intelligent Automation.

Great 👍🏻

Your client shouldn’t be the first person to discover yesterday’s failed cleaning inspection.

For commercial cleaning companies managing multiple sites, completing an inspection is only the beginning. Someone still needs to follow up on the problems it reveals.

The gaps often look like this:

→ Inspection results sit in forms nobody checks. → Corrective actions have deadlines but no clear follow-up. → Supervisors repeatedly chase the same updates. → Site managers receive reminders after an issue has already escalated. → Closed issues keep appearing in outdated spreadsheets.

I can build an n8n cleaning inspection automation that turns open issues into trackable follow-ups.

The workflow would check your inspection records, identify overdue actions, and notify the responsible site manager using your agreed escalation rules.

Each reminder would include the site, outstanding issue, deadline, and link to the inspection record.

Workflow

Scheduled check → Read open inspections → Evaluate deadlines → Claim a unique reminder → Email the responsible manager → Record delivery status.

Items that don’t need action would exit the workflow.

Implementation

• Store inspection IDs, responsible managers, deadlines, and closure status in PostgreSQL. • Configure site-specific deadlines, escalation intervals, and notification recipients. • Use unique reminder records to reduce duplicate sends. Route failed or uncertain deliveries for review.

The automation would follow up on recorded issues; supervisors would remain responsible for confirming that corrective work is complete.

Business benefits

✅ Less manual chasing across multiple sites. ✅ Clear ownership of overdue actions. ✅ A traceable reminder and escalation history. ✅ More consistent follow-up as your contracts grow.

Expected result: A repeatable inspection follow-up process where unresolved issues stay visible until an authorized person closes them.

Already know your requirements? Send me your inspection fields, escalation rules, and existing systems, and let’s scope the automation.

Need help finding the right starting point? Share an anonymized inspection and your current follow-up process, and I’ll help map the first useful workflow.

Skills: Automation Engineer • Backend Engineer • Fullstack Engineer

Tools: n8n • PostgreSQL • Gmail

Visual: Concept workflow based on fictional sample data.

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