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Falcon Technologies
AI and Automation

AI Agent Development

An AI agent scoped to a specific job, with defined tools, guardrails, and human checkpoints for anything that matters.

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Falcon Knowledge Agent
Scoped tools: 3
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The Challenge

Problems This Service Addresses

  • Teams spending hours answering the same internal or customer questions.
  • Knowledge scattered across documents nobody has time to search.
  • Lead qualification that depends entirely on manual review.
  • A desire to use AI without a clear view of risk and control.
Capabilities

What We Deliver

Tool-using agents

Agents that can call approved tools and APIs to complete a defined task.

Knowledge assistants

Retrieval-augmented systems that answer questions from your actual documentation.

Multi-step task execution

Agents that work through a sequence of steps toward a defined outcome.

Access control

Clear boundaries on what data and actions an agent can reach.

Human-in-the-loop approval

Checkpoints before any consequential or irreversible action.

Monitoring, evaluation & cost controls

Tracking behavior, accuracy, and usage so the agent stays reliable and within budget.

Practical Use Cases

Where This Service Makes a Difference

A customer support assistant that answers common questions and escalates the rest
A lead qualification agent that reviews inbound inquiries against defined criteria
An internal knowledge assistant trained on your documentation
A document processing agent that extracts and verifies key fields
A research assistant that compiles information for a defined report
Solution Approach

How We Structure the Work

Step 1

Scope the task

Define exactly what the agent should and should not do.

Step 2

Connect tools & data

Give the agent access to the approved tools and knowledge it needs.

Step 3

Add guardrails

Define approval checkpoints, limits, and fallback behavior.

Step 4

Test & monitor

Evaluate accuracy and reliability before and after launch.

Methodology

Our Delivery Approach

Discover

Identify a well-defined, high-value task for the agent.

Design

Define tools, data sources, and guardrails.

Build

Implement, test, and evaluate the agent against real scenarios.

Operate

Monitor behavior and refine over time with usage limits in place.

Technology

Relevant Technology Stack

LLM APIsRetrieval-augmented generationVector searchNode.jsPythonPostgreSQL
FAQ

Common Questions About AI Agent Development

No. A simple chatbot answers questions. We only describe a system as an agent when it can reason across multiple steps and use defined tools to complete a task.

Agents we build operate within clearly scoped tools and permissions, with human approval required before consequential or irreversible actions.

We define usage limits, monitoring, and evaluation from the start so behavior, accuracy, and cost stay within agreed boundaries.
Related Services

You Might Also Need

AI AutomationChatbotsDatabase DevelopmentAPI Integration

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