Agentic AI solutions to transform your business operations
Intelligent automation built to act, adapt, and deliver
When automation can think for itself, everything changes. Agentic AI introduces a new model for enterprise efficiency—one where intelligent agents plan, decide, and act independently to drive business outcomes.
More than just advanced automation, agentic AI systems operate with autonomy, which encompasses:
- Making decisions based on goals, constraints, and live data
- Adapting to changing conditions, even in complex environments
- Understanding context to deliver relevant actions and outcomes
Traditional automation and robotic process automation (RPA) focus on narrow, rule-based tasks. In contrast, agentic AI enables complete process orchestration, reducing manual effort while increasing agility, scalability, and impact. Enterprises can automate complex workflows such as compliance monitoring, customer engagement, or data integration without depending on constant human intervention.
The result? Faster decisions, fewer handoffs, and smarter systems that evolve with your business.
To learn more about how this technology works and what it means for your organization, explore our introductory article “What is agentic AI?”
Why Logic20/20’s agentic AI solutions?
Agentic AI delivers results when it’s built with purpose, integrated thoughtfully, and governed for scale. At Logic20/20, we combine AI expertise with proven delivery frameworks to create intelligent agents that fit your business, drive efficiency, and evolve with your needs.
Automate complex tasks with tailored AI agents
Integrate effortlessly with existing enterprise systems
Protect sensitive data with enterprise-grade security
Security, privacy, and compliance are built into every deployment. Our solutions support secure data flows, role-based access, and governance aligned to your compliance requirements, regardless of sector or regulatory complexity.
Drive smarter workflows with less human oversight
Features that drive results
Intelligent AI agents
Seamless integration
Real-time insights
Scalable, secure architecture
Enterprise use cases for agentic AI
Agentic AI use cases by industry
Utilities
Automate compliance workflows in response to policy changes, coordinate distributed energy resources (DERs), and monitor grid stability using real-time data pipelines. Integrate with enterprise applications to enhance workflow automation across utility operations.
Financial services
Healthcare
Technology and telecom
Government
Example AI agents powering enterprise automation
AI agents for talent and recruiting
- Resume screening agent: Parses and ranks resumes based on job-specific criteria.
- Interview scheduling agent: Coordinates calendars and prepares contextual briefing materials.
- Interview prep agent: Summarizes candidate materials and flags potential concerns for interviewers.
- Resume tagging agent: Tags incoming resumes to improve discoverability and alignment with internal taxonomies.
AI agents for finance and operations
- Invoice processing agent: Extracts, validates, and routes invoice data for review and payment.
- Data entry agent: Extracts and inputs data from forms, emails, and documents.
- Time entry agent: Creates automated daily summaries using calendar activity.
AI agents for risk and compliance
- Compliance monitoring agent: Tracks policy changes, maps impacts, and initiates corrective workflows.
- Regulatory change analysis agent: Scans for new legislation and recommends internal response actions.
AI agents for sales and customer service
- Customer service agent: Drafts replies, routes tickets, and escalates priority cases to human agents.
- Lead identification and scoring agent: Monitors external signals and CRM data to surface and score potential leads.
- RFP review agent: Analyzes requests for proposal (RFPs), matches content to past responses, and suggests draft text.
AI agents for supply chain management
Supply chain monitoring agent: Tracks inventory and shipment statuses and triggers alerts for disruptions.
Why n8n’s agentic AI platform is a game changer
The right platform is essential for building agentic AI systems that deliver real results without added complexity. That’s why we partner with n8n, a flexible automation platform designed to support intelligent, multi-step workflows at enterprise scale.
Our agentic AI solutions built on the n8n platform combine implementation expertise and technical flexibility to support your architecture, governance standards, and long-term automation goals.
Low-code integration
Flexible architecture
Human in the loop
Custom agent actions
Enterprise-ready features
How to get started with agentic AI
Building effective agentic AI solutions begins with a clear, structured process. At Logic20/20, we help organizations move from ideas to operational agents by aligning business priorities, technical feasibility, and governance from the outset.
Here’s how we approach the first phase of implementation:
1. Identify the right opportunities
We begin by pinpointing processes that are repetitive, rules-driven, and dependent on multiple systems or large data volumes—ideal candidates for agentic automation.
2. Assess automation readiness
We evaluate existing process maturity, data availability, and system interoperability to ensure the environment can support agent execution and monitoring.
3. Prioritize use cases
Using our scoring model, we rank potential use cases by business value, complexity, and alignment with strategic goals to focus on high-impact opportunities.
4. Design agent logic and triggers
We define how each agent will operate—what data it needs, what events will trigger actions, what decisions it will make, and where human input is required.
5. Align deployment strategy
We ensure the rollout aligns with your enterprise architecture, compliance standards, and change management plans, setting the stage for a scalable, governed deployment.
This structured intake process helps ensure that agentic AI solutions deliver meaningful results, whether that involves streamlining operations, enhancing service, or accelerating insight.
Frequently asked questions (FAQs)
What are agentic AI solutions?
What is agentic workflow automation?
What is the difference between traditional automation and agentic AI?
What is the difference between RPA and agentic workflows?
What problems can agentic AI solve?
What is an example of agentic AI in enterprise workflows?
Who is leading in agentic AI?
Ready to put agentic AI to work for your enterprise?