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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?”

%

of organizations are already using agentic AI.
(source)

%

of organizations plan to implement agentic AI within the next year.
(source)

%

projected savings in customer service costs from agentic AI by 2029
(source)

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

Our AI agents handle more than isolated tasks. They operate across entire workflows, with logic designed around your operations. Automate resume screening with ranking logic, track regulatory updates in real time, or route data between systems without manual touchpoints—and deliver measurable outcomes.

Integrate effortlessly with existing enterprise systems

Using the low-code, extensible n8n platform, we create automations that connect with your tools and infrastructure. Your workflows operate seamlessly across environments, supported by hundreds of native integrations and customizable extensions—no rebuild required.

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

Logic20/20 combines agentic process automation capabilities with proven strategic consulting and system integration expertise to deliver adaptive workflows that evolve with your needs. Built-in guardrails ensure appropriate human oversight, even as agents respond to real-time inputs.

Features that drive results

Intelligent AI agents

Each agent is designed to operate independently within complex environments, executing logic-based decisions that align with your business rules. Agents respond to triggers, process contextual data, and complete tasks from start to finish without relying on predefined scripts or constant human input.

Seamless integration

The n8n platform supports 400+ out-of-the-box integrations with common enterprise systems, APIs, and SaaS tools. Custom nodes and logic layers allow us to embed agentic automation within even the most specialized workflows, without disrupting your existing infrastructure.

Real-time insights

By connecting to your analytics environment, agentic workflows can act on insights as they emerge. Predictive signals can trigger automated responses, route issues to the right team, or generate updates in connected systems, enabling continuous decisioning and faster outcomes.

Scalable, secure architecture

Our architecture supports cloud, on-premises, and hybrid environments, with configurable security, access control, and compliance tooling. Role-based permissions and data governance are integrated from the ground up, allowing your automation ecosystem to grow responsibly.

Enterprise use cases for agentic AI

Agentic AI is most valuable where business processes are complex, data-intensive, and dependent on human judgment. Across industries and functions, our solutions are uncovering new levels of efficiency, accuracy, and responsiveness. Use cases by industry include:

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

Accelerate KYC and customer onboarding, monitor for fraud, and keep compliance teams ahead of evolving regulations through intelligent document and data handling.

Healthcare

Sync patient records across systems, automate administrative intake processes, and maintain HIPAA compliance with secure, auditable agent actions.

Technology and telecom

Route support tickets with context-aware logic, surface customer insights from disparate platforms, and qualify inbound leads using AI-driven pattern recognition.

Government

Generate regulatory reports, ensure data transparency, and connect siloed systems to support more responsive and accountable public services.

Example AI agents powering enterprise automation

Our library of AI agents is designed to address high-impact tasks that drain time, invite errors, or require constant coordination. Each agent is built with a specific purpose, drawing on real-time data, embedded logic, and context awareness to deliver consistent results—regardless of the system or the scenario. Click on the sections below to expand.

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

n8n logo

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

n8n’s visual interface enables rapid development and iteration, connecting systems and APIs with minimal engineering effort. The result is faster time to value while your technical teams retain full control.
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icon representing cloud and on-prem architecture

Flexible architecture

Whether it’s deployed in the cloud, on premises, or in hybrid environments, n8n supports your infrastructure strategy. The platform’s open architecture enables integration with legacy systems and custom apps without compromise.

Human in the loop

Agents can be configured to request approvals, escalate exceptions, or loop in subject matter experts at any point in the workflow. This balance of automation and control helps ensure accuracy and accountability.
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Custom agent actions

Beyond prebuilt connectors, we extend agent functionality using custom nodes, embedded logic, and secure API calls. This means we can tailor automation to fit even the most specialized business needs.

Enterprise-ready features

n8n supports role-based access control, audit logging, encrypted credentials, and other enterprise features required for secure, compliant automation at scale.
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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?

Agentic AI solutions use intelligent agents that operate independently to complete multi-step tasks. These agents make decisions, adapt to new information, and execute workflows without constant human oversight.

What is agentic workflow automation?

Agentic workflow automation involves using AI agents to manage entire workflows from trigger to completion. These agents analyze inputs, make contextual decisions, and take action across systems without relying on static rules.

What is the difference between traditional automation and agentic AI?

Traditional automation follows predefined steps. Agentic AI goes further—it adapts to new inputs, operates with intent, and makes decisions based on context, not just rules.

What is the difference between RPA and agentic workflows?

Robotic process automation (RPA) mimics user actions in a static sequence. Agentic workflows use intelligent agents that adjust to changing data and conditions, enabling more flexible and resilient automation.

What problems can agentic AI solve?

Agentic AI is ideal for automating processes that are manual, logic-heavy, and repeatable—such as compliance tracking, resume screening, customer support triage, and invoice processing. It reduces workload, improves accuracy, and speeds up outcomes.

What is an example of agentic AI in enterprise workflows?

A resume screening agent that parses applications, ranks candidates, and routes the top profiles to hiring managers—without manual review—is a practical example of agentic AI in action.

Who is leading in agentic AI?

n8n is setting the standard for agentic AI platforms with a flexible, open architecture that supports intelligent, event-driven workflows across complex enterprise environments. Their platform enables the creation of autonomous agents that connect seamlessly with enterprise systems, respond in real time, and scale with business needs. Logic20/20 partners with n8n to bring these capabilities to life through strategy, design, and implementation tailored to enterprise requirements.

Ready to put agentic AI to work for your enterprise?