Meet us live at LEAP 2026
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Meet us live at LEAP 2026
Book a meeting
Meet us live at LEAP 2026
Book a meeting
Meet us live at LEAP 2026
Book a meeting
Meet us live at LEAP 2026
Book a meeting
Meet us live at LEAP 2026
Book a meeting
Meet us live at LEAP 2026
Book a meeting
Meet us live at LEAP 2026
Book a meeting
Meet us live at LEAP 2026
Book a meeting
Meet us live at LEAP 2026
Book a meeting
AI Agents

Deploy Intelligent AI Agents That Work For You 24/7

We design secure agent software that reads database records, runs multi-step API workflows, and resolves routine customer and operations tasks autonomously.

70%
TASKS AUTOMATED
24/7
AUTONOMOUS OPS
40+
AGENTS DEPLOYED

— Agent Types

Production-Grade AI Agents

We write secure agent scripts that connect to your existing software interfaces and execute scheduled operational tasks.

Scheduled Task Agents

Automate daily data entry, invoice processing, and database syncs. These agents run on background triggers to process incoming records without manual intervention.

Data Retrieval Agents

Query APIs, read website content, and synthesize structured data from multiple files into clean database entries.

Support Desk Agents

Connect agents directly to your ticketing API to resolve common support requests and format escalation tickets.

Automated Report Builders

Scan active SQL databases, run calculations, and export summarized reports directly to email or Slack channels.

API Orchestration Agents

Coordinate multi-step tasks across separate third-party software tools, handle network failures, and trigger retries.

Developer Assistant Agents

Automate code verification, run security checks on pull requests, generate markdown documentation, and run standard test suites.

Our Proven Process

Our Agent Engineering Pipeline

1

API & Workflow Scoping

We list your database endpoints, map out task inputs, and define security permissions for the agent.

Agent Blueprint
1-2 weeks
2

Agent Logic Development

We write the core connection code, setup API integration wrappers, and design safe decision rules.

Functional Agent
3-4 weeks
3

Sandbox Testing & Security

We test agent code in isolated environments, restrict access scopes, and define fallback rules.

Validated Agent
2-3 weeks
4

Production Deploy & Tracking

We host the agent on secure cloud servers, set up runtime logging, and monitor monthly API costs.

Live Autonomous Agent
1-2 weeks
AutoGen
Anthropic
LangChain
LlamaIndex
AWS

Learning Partnerships

OptimaGeeks engineers are continuously trained on the platforms powering modern AI.

FAQs

Frequently Asked Questions

Get answers to common questions about AI agents and autonomous automation.

An AI agent is an autonomous system that can plan, make decisions, use tools, and execute multi-step workflows to achieve goals. Unlike chatbots that respond to prompts, agents proactively take actions, integrate with systems, and adapt their behavior based on outcomes.
Most AI agent projects take 6-10 weeks from concept to production deployment. Simple task automation agents can be deployed in 4-6 weeks, while complex multi-agent systems may take 10-12 weeks. We work in sprints with incremental releases.
AI agents can automate customer support, data entry, research and analysis, code generation, workflow orchestration, email management, report generation, quality assurance, content moderation, and much more. If it's repetitive and rule-based, an agent can likely handle it.
We implement multiple safety layers including decision validation, human-in-the-loop approval for critical actions, confidence thresholds, error handling and rollback mechanisms, audit trails, and continuous monitoring. Agents are tested extensively before production deployment.
Yes. Our agents integrate with CRMs, databases, APIs, email platforms, messaging tools, project management systems, and custom internal tools. We build custom connectors and use standard protocols to ensure seamless integration.
Agents include error detection, logging, and recovery mechanisms. Critical actions require human approval. We implement rollback capabilities, alert systems for anomalies, and continuous monitoring to catch and correct issues quickly.
Agents learn through feedback loops, outcome tracking, A/B testing, and periodic retraining on new data. We implement reinforcement learning for decision optimization and continuously refine agent behavior based on performance metrics.
Costs vary based on complexity. Simple automation agents start at $25K-$40K. Complex multi-agent systems range from $60K-$150K. We provide detailed proposals after understanding your specific automation needs and expected ROI.
FAQ illustration

Ready to Automate Tasks with AI Agents?

Schedule a developer scoping call to discuss database read/write permissions, API connections, and cost limits.