AI & Automation
AI & Automation

AI Agent Development

Build controlled AI agents that use approved tools, coordinate multi-step workflows, escalate exceptions, and operate with measurable oversight.

Infonaligy designs and develops custom AI agents for organizations that need more than conversation or document analysis. A production agent combines AI with defined tools, application logic, permissions, workflow state, validation, monitoring, and human approval. The objective is reliable execution within an approved scope — with people retaining authority over consequential decisions.

Call 800-985-1365

Claude AI Agent Development

Custom Claude agents with MCP integrations, tool orchestration, human approval workflows, production monitoring, and Claude Code integration.

Learn More

When a Custom AI Agent Is Appropriate

Agent development may be appropriate when:

A process spans multiple applications and manual handoffs.
Employees repeatedly gather information, apply defined criteria, and perform follow-up actions.
Fixed automation fails when inputs vary or exceptions require contextual analysis.
An operation needs 24/7 intake but cannot allow unrestricted action.
Users need recommendations accompanied by sources, evidence, and confidence indicators.
Existing integrations require a reasoning layer for classification, routing, or exception preparation.
Leadership needs measurable throughput, quality, cost, and escalation visibility.
A limited pilot has demonstrated value and now requires production engineering.

A simpler workflow, integration, or assistant may be preferable when the work is deterministic, low-volume, or does not require multi-step reasoning.

From Agent Concept to Production

1

Discover

Document the workflow, owners, systems, data, volume, exceptions, and baseline.

2

Select

Confirm that agentic execution is preferable to standard automation.

3

Design

Define tools, permissions, state, prompts, rules, approvals, and metrics.

4

Build

Develop the agent, integrations, interface, logging, and failure handling.

5

Evaluate

Test representative, adversarial, incomplete, and exception scenarios.

6

Deploy

Release through controlled environments with monitoring and rollback.

7

Operate

Review quality, cost, latency, incidents, adoption, and proposed changes.

Frequently Asked Questions

AI agent development builds custom applications that use AI models with defined tools, permissions, workflow state, validation, monitoring, and human approval to automate multi-step business processes.
A chatbot primarily responds to messages. An agent may also maintain workflow state, use tools, coordinate actions, validate results, and escalate exceptions.
When a process spans multiple applications, involves manual handoffs, requires contextual analysis that fixed automation cannot handle, or needs 24/7 intake with controlled action boundaries.
Low-risk actions may be automated within strict boundaries. Consequential, ambiguous, or exceptional actions should retain human approval or review.
A suitable pilot may take 4–8 weeks. Timing depends on workflow complexity, integrations, security review, and stakeholder access.
Infonaligy evaluates platforms against each use case. Claude AI is frequently selected for business-critical work due to its accuracy, context handling, and safety. Other platforms are used when they better fit the requirement.

Build an Agent Your Business Can Control

Connect AI with approved tools, measurable workflows, security controls, human authority, and production monitoring.

Start with a complimentary assessment. Comparable strategic reviews can be valued at up to $25,000.

Back to AI & Automation