Background

Enterprise AI Agents

Autonomous software that reasons through complex business situations, queries multiple systems, and makes intelligent decisions—all while maintaining human oversight for high-stakes outcomes.

Layer 2: Implementation
Beyond Rules-Based Automation

LLM-powered agents that adapt to variations, handle exceptions, and learn from context—without requiring new code for every scenario

Looking for Voice AI?

For customer-facing voice automation, chatbots, and conversational AI, see our AI Solutions service.

Need Custom Workflow Apps?

For traditional workflow applications with fixed business rules, see our Enterprise Applications service.

Rules-Based Automation Breaks on the First Exception

You've built the workflow. PO comes in → check the budget rules → route to approver → send email. It works great. Until a purchase requisition comes from a new vendor. Or the budget code is formatted differently. Or the approver is on vacation. Then your automation breaks and someone has to manually fix it. You add more rules. Your system gets more fragile. By the time you've coded for the 50 variations that actually happen in the real world, you've written thousands of lines of code to handle edge cases.

AI agents do something different. They reason. They look at the procurement request, understand context, check multiple systems, make a judgment call. They handle the 1000th variation you never coded for because they don't follow rules—they reason through situations. When they hit something they're unsure about, they escalate to a human. No more code rewrites every time business changes.

What Agents Can Do

  • Reason across your systems - Pull info from SAP, email, databases, and make judgment calls
  • Handle variations without new code - Adapt to exceptions and edge cases on the fly
  • Communicate like humans - Draft emails, summaries, and reports with full context
  • Know when to ask for help - Escalate complex decisions to humans while automating routine work

When Agents Outperform Traditional Automation

Traditional Workflow Apps

  • ✓ Simple CRUD operations
  • ✓ Fixed business rules
  • ✓ Deterministic workflows
  • ✓ Structured data inputs
  • ✗ Require new code for variations
  • ✗ Limited judgment handling

Enterprise Agents

  • ✓ Multi-system research & analysis
  • ✓ Adaptive decision making
  • ✓ Exception handling built-in
  • ✓ Natural language interactions
  • ✓ Learn from context
  • ✓ Handle judgment calls

Enterprise Agent Use Cases

Procurement Agent

Analyzes purchase requisitions from SAP, researches supplier options, negotiates pricing via email, and routes approvals based on policy and budget context.

Integrations:

SAP, email, vendor database, approval workflows

Impact:

3-5 day cycle → 24 hours; 15-20% cost savings

Quality Investigation Agent

Reads non-conformance reports (NCMR) from quality systems, queries production data, accesses supplier records and engineering docs, then drafts root cause analysis with supporting evidence.

Integrations:

Quality system, PLM, supplier portals, ERP data

Impact:

10 hours manual → 30 min; consistent quality

Vendor Onboarding Agent

Guides new suppliers through registration, validates uploaded documents (W-9, insurance, certifications), performs background checks, and automatically creates vendor master records in ERP.

Integrations:

Vendor portal, document storage, SAP/Oracle, compliance APIs

Impact:

2 week cycle → 3 days; 80% reduction in errors

Invoice Reconciliation Agent

Matches invoices to purchase orders across SAP/Oracle, automatically identifies discrepancies (quantity, price, delivery), queries stakeholders for explanations, and routes for approval or auto-processes matches.

Integrations:

AP system, procurement, approval workflows, email

Impact:

60% auto-processing; 2-3 day payment acceleration

Research & Analysis Agent

Monitors competitor activity, regulatory changes, and market trends across 50+ sources. Synthesizes insights and drafts weekly strategy reports for leadership review.

Integrations:

News APIs, SEC filings, internal data warehouse, email

Impact:

20 hours/week → 2 hours; 24/7 monitoring


Agent Capabilities

Multi-Step Reasoning

Agents think through problems step-by-step (ReACT pattern), showing their work and allowing humans to understand decisions

Tool Integration

Call APIs, query databases, send emails, and interact with any enterprise system through MCP (Model Context Protocol) integrations

Memory & Context

Track conversation history and workflow state, allowing agents to maintain context across multi-step processes

Human-in-the-Loop

Agents flag high-stakes decisions for human review, automatically escalate exceptions, and incorporate feedback

System Integration

Connect to SAP, Oracle, Salesforce, custom databases, and business systems using same integration patterns as traditional apps

Audit & Observability

Full decision trails, reasoning logs, and compliance audit records for regulated industries

Technology Stack

LLM & AI

  • LLM Providers: GPT-4o, Claude 3.5, or custom fine-tuned models
  • Agent Frameworks: LangGraph, CrewAI, or custom orchestration
  • Reasoning: ReACT pattern with chain-of-thought

Integration & Infrastructure

  • Tool Protocol: MCP (Model Context Protocol) for enterprise integrations
  • APIs: SAP REST, Oracle SQL, Salesforce APIs, custom webhooks
  • Deployment: Cloud or on-prem with same patterns as enterprise apps

How We Deliver

Agent development follows a phased approach with clear milestones and human-in-the-loop validation at each stage.

1

Discovery & Design

2-3 weeks

Map workflow requirements, identify integration points, design agent architecture, and define success criteria. Establish human-in-the-loop checkpoints.

2

Agent Development

4-8 weeks

Build agent logic, configure tool integrations (MCP servers), implement reasoning chains, and set up monitoring. Weekly demos with stakeholder feedback.

3

Validation & Tuning

2-4 weeks

Run agent on historical cases, compare to human decisions, tune prompts and logic, validate edge case handling. Establish baseline metrics.

4

Production & Monitoring

Ongoing

Deploy to production with human oversight, monitor decision quality, track metrics, and continuously improve based on feedback and edge cases.


What You Receive

Production Agent

  • • Deployed agent handling real workloads
  • • Agent definitions and workflow logic
  • • Tool/function configurations (MCP servers)
  • • Full source code and documentation

Enterprise Integrations

  • • Connectors to SAP, Oracle, Salesforce
  • • Email and communication integrations
  • • Custom database adapters
  • • Webhook and API configurations

Governance & Compliance

  • • Human-in-the-loop approval workflows
  • • Decision audit trails and reasoning logs
  • • Compliance documentation for regulated industries
  • • Role-based access controls

Monitoring & Training

  • • Performance dashboards (accuracy, latency)
  • • Error rates and escalation metrics
  • • Team training and runbooks
  • • 30-60 day post-launch support

Ready to Explore Enterprise Agents?

Schedule a discovery call to discuss your workflow automation needs and see if enterprise agents are the right fit for your use case.