Agentic AI

The Challenge

Multi-step workflows need orchestration, error handling, and observability that single LLM calls cannot provide. Agents fail silently without proper monitoring, complex tasks require coordination between multiple specialized agents, and debugging agent behavior is nearly impossible without comprehensive tracing. Teams struggle to build reliable agentic systems that can handle errors gracefully and complete multi-step objectives autonomously.

The Outcome

Reliable multi-agent systems that complete complex tasks through intelligent orchestration, with built-in error recovery that handles failures gracefully, comprehensive observability into agent decision-making and tool usage, automated evaluation frameworks that validate agent behavior, and safety rails that prevent harmful or unintended actions. Your agents become production-ready systems that can be trusted to complete complex workflows autonomously while maintaining visibility and control.

What's Included

Capabilities

• Multi-agent orchestration
• Tool & API integration
• Error recovery strategies
• Decision-path tracing
• Agent behavior monitoring

Deliverables

• Agent orchestration platform
• Tool registry & integration layer
• Evaluation frameworks
• Observability dashboards
• Safety & guardrail system

Tooling

• State management systems
• Workflow visualization
• Retry & fallback logic
• Performance analytics
• Agent testing harness

Configure Your AI Teams

We build and configure AI Teams tailored to your business needs—composed of specialized AI Agents working together through intelligent workflows.

AI Teams

Custom-configured agent teams

We configure teams of specialized AI Agents that work together to accomplish complex objectives. Each agent has specific capabilities, tools, and expertise—just like a human team.

Research Agents: Gather and synthesize information from multiple sources

Decision Agents: Analyze data and make strategic choices

Action Agents: Execute tasks and integrate with external systems

Validation Agents: Verify outputs and ensure quality control

Intelligent Workflows

Orchestrated multi-step processes

We design and implement workflows that orchestrate your AI Team, defining how agents collaborate, share context, and handle complex multi-step processes autonomously.

Sequential Workflows: Step-by-step task execution with dependency handling

Parallel Workflows: Multiple agents working simultaneously on different tasks

Conditional Workflows: Dynamic routing based on agent decisions and outcomes

Error Recovery: Automatic retry, fallback, and escalation strategies

Fully Configurable & Controllable

Every AI Team is configured to match your specific business processes, data sources, and compliance requirements. You maintain full visibility and control over what agents can do, which tools they can access, and when human approval is required.

Team Composition

Define which agents work together and their specific roles

Tool Access

Control which APIs, databases, and systems each agent can access

Approval Gates

Set human-in-the-loop checkpoints for critical decisions

Our Infrastructure Capabilities

All our solutions are deployed on our production-grade cloud-native platform, designed for enterprise AI workloads at scale.

Cloud-Native Orchestration

• Container-based workload management with automatic scaling
• Self-healing infrastructure with automatic failure recovery
• Multi-environment deployment pipelines (dev, staging, production)
• Resource optimization and cost management at scale

GitOps & Automation

• Declarative infrastructure management with version control
• Automated deployment workflows with instant rollback
• Complex data pipeline orchestration for ML and analytics
• Continuous delivery with compliance and security gates

Architecture Overview

Complex Task Request

Agent Orchestrator

Task Decomposition & Planning

Research Agent

Information Gathering

Action Agent

Tool Execution

Analysis Agent

Decision Making

State Management

Context & Memory

Safety Guardrails

Action Validation

Error Recovery & Retry Logic

Fallback Strategies

Task Completion

Results & Output

Decision Trace

Full Observability

Tech Stack

Agent Frameworks

LangChain, LangGraph, CrewAI, AutoGen, custom orchestration

Orchestration

State machines, workflow engines, event-driven architectures

Tool Integration

API wrappers, function calling, custom tool implementations

Evaluation

Custom eval frameworks, automated testing, simulation environments

Engagement Models

Sprint

2 weeks

Proof-of-concept agent with basic orchestration and tool integration.

✓ Single-agent prototype
✓ Basic tool integration
✓ Simple tracing

Pilot

6-8 weeks

Production-ready multi-agent system with full observability and safety controls.

✓ Multi-agent orchestration
✓ Error recovery mechanisms
✓ Complete observability
✓ Safety guardrails

Scale / Managed

Ongoing

Fully managed agentic platform with continuous monitoring and optimization.

✓ 24/7 agent monitoring
✓ Continuous optimization
✓ Complex workflow support
✓ Advanced analytics

Risk & Compliance

Agent Safety

• Behavior monitoring for unexpected agent actions
• Safety rails preventing harmful tool usage
• Budget controls limiting agent resource consumption
• Human-in-the-loop approval for sensitive actions

Observability & Control

• Complete audit trails of agent decisions and actions
• Real-time alerts for anomalous agent behavior
• Emergency stop mechanisms for runaway agents
• Tool access controls and permission management