Five AI Agents Across Four Departments for a Field Services Company

When Tech 24 approached Streamline, they weren't looking for another tool. They were looking for a way to fundamentally change how their operations ran. Growth had outpaced their existing processes, and the mix of disconnected systems across dispatch, finance, procurement, and customer service was creating friction that couldn't be solved by adding more headcount.

On the surface, things were running -- calls were answered, invoices got processed, technicians were dispatched. But every handoff between teams was a potential friction point. Scheduling was largely reactive. Follow-ups across vendors required manual tracking. Customer issues moved through informal channels rather than structured workflows.

It wasn't a single broken process. It was a systemic opportunity.

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Discovery

We started with a thorough operational audit, reviewing process documentation, onboarding materials, and recorded interactions across departments. The goal was to understand not just what each team did, but how they described their own work -- and where those descriptions diverged from reality.

What we found was telling. Each department had its own vocabulary for the same challenges. Dispatch referred to "scheduling gaps." Finance flagged "reconciliation delays." Customer service described "escalation overload." These were all symptoms of the same upstream issue: a lack of intelligent routing and automated handoffs between systems.

The discovery also revealed something less technical but equally important: there was no shared framework for deciding what should be automated versus what needed a human. Teams had different instincts about where AI could help, and the lack of a unified perspective was slowing progress.

The Solution

Streamline designed a phased engagement built on n8n workflow orchestration and purpose-built AI agents, rather than attempting a single massive deployment, we structured the rollout in sequential 60-day phases—each one delivering a production ready agent while the next phase entered discovery.

This approach gave Tech 24 immediate operational value while maintaining the flexibility to adjust scope and priorities as early results came in.

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Five Agents, One Orchestration Layer

• Orchestrator: Central coordinator that triggers workflows, schedule updates, and status checks across all connected systems, managing handoffs between AI agents and human team members.‍‍‍
• VM Operator: Automates legacy ERP interactions—record lookups, field updates, and exception handling—with full audit trail and human-in-the-loop approvals.‍
• Classification: Receives inbound events, classifies intent and priority, then routes to the appropriate agent or human based on predefined rules and confidence thresholds.‍
• Follow-Up: Handles shipping tracking, vendor communications, and multi-step follow-up sequences across procurement and operations.‍
• Customer Service: Front-line agent handling high-volume customer interactions with 24/7 availability, first deployed as the pilot due to immediate impact potential.

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Architecture & Integration

The solution is anchored by n8n as the central workflow orchestrator, connecting all agents to Tech 24's existing enterprise systems:

• AI agent gateway with domain-specific knowledge retrieval for contextual accuracy
• Legacy ERP integration via virtual machine operator for automated recordmanagement
• CRM integration for customer data and service history context
• VoIP platform integration for voice channel support (Phase 2)
• Enterprise email and SSO authentication
• Real-time analytics dashboard for monitoring deflection rates, resolution times, andescalation frequency

All traffic is encrypted in transit and at rest. Tech 24 maintains full ownership of all data and knowledge-base content. No customer data is shared with or used to train external models.

Phased Delivery

Each phase follows a consistent 60-day delivery window with overlapping discovery and development:

• Orchestrator Agent + n8n infrastructure: Cloud environment, workflow automation, team training
• Virtual Machine Operator for legacy ERP: UI automation, audit trail, HITL approvals
• Classification Agent: AI-powered routing, event classification, behavior monitoring
• Follow-Up Agent + Customer Chatbot: Automated follow-ups, vendor comms, AI chatbot

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Target Outcomes

The following metrics represent projected targets based on the solution design and comparable deployments. These targets will be validated with production data as the rollout continues.

• Task Deflection Rate: 50--70%
• First Response Accuracy: ≥90%
• Resolution Time Reduction: ≥30%
• Customer Satisfaction (CSAT): ≥80%
• Agent Uptime: ≥99%

Based on Tech 24's transaction volume and a target deflection rate in the 50--70% range, the solution is projected to deliver meaningful cost savings within the first month of full deployment -- driven by reduced manual handling and faster resolution times across all four departments.

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Escalation Framework

A core requirement was building a structured escalation system from scratch. Streamline implemented a comprehensive framework:

• Automatic escalation triggers based on sentiment, complexity, and business-critical thresholds
• Real-time tracking with issue type, severity, and resolution path tagging
• Weekly automated incident reports with root-cause analytics
• Monthly optimization sessions to refine escalation logic from production patterns
• Quarterly workshops to incorporate updated SOPs into agent behavior

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Looking Ahead

With the first phases live and additional agents rolling out on 60-day cycles, Tech 24 is building toward a fully AI-augmented operations model. Upcoming milestones include voice channel integration, enhanced analytics dashboards, and expansion of the customer facing AI chatbot to additional service lines.

Every phase generates production data that will validate and refine the target metrics outlined in this case study -- transforming projections into proven outcomes.