Automate work with AI agents

AI agents handle more work in less time

Your team is wasting too much time on repetitive tasks. When you automate complex, knowledge-based work with AI agents, you can scale your capacity without adding headcount or increasing expenses.

Knowledge workers are valuable, but relying on them alone is costly

High operational costs

Relying on human teams for routine tasks is driving up your operational costs and limiting your profitability.

Limited growth potential

Your ability to scale is limited by the time and cost of hiring and training new team members.

Outsourcing is challenging

Hiring external teams can result in communication delays, inconsistent results, and hidden costs.

Process knowledge gaps

Your processes rely on informal knowledge, making execution inconsistent and hard to scale.

Do the work without the overhead

Our AI agents automate the busywork so you can scale while cutting costs along the way.

Only pay for completed work

Forget about those overhead expenses. When you work with an AI agent, you don’t have to worry about HR costs or overtime wages. Your workflows can run 24/7 and you only pay for what you use.

Take control of your operations

No more guesswork or variation. AI agents follow the exact procedures you set up every time. Plus, every action is documented automatically, with built-in quality checks and validation.

A hybrid team for best results

AI agents integrate directly with your existing tools and workflows, working alongside your team. With clear handoffs and easy escalation paths, you get the best of both automation and human expertise.

How Lleverage works

Creating your own AI agent is easy with our AI-assisted drag-and-drop builder.

01

Map your processes

Map your processes

Map your processes

Identify tasks and document current workflows with our AI-assisted process mapping tool.

02

Configure AI agents

Configure AI agents

Configure AI agents

Stay in full control by setting up AI agents with specific roles, rules and access to required tools and systems.

03

Deploy and test

Deploy and test

Deploy and test

Run parallel operations to validate agent performance.

04

Scale and optimize

Scale and optimize

Scale and optimize

Monitor performance and scale AI agents based on demand.

All the features you need to automate work with AI agents

No technical expertise required.

Visual AI agent builder

Build your very own AI agent and customize it with tailored skills and tools. Then, set up sub-workflows that give you the right amount of control.

Document processing engine

Extract data from any file type and set up your own workflow rules.

Integration & deployment

Choose from pre-built UI components or use our flexible API.

Knowledge engine

Easily add an unlimited amount of knowledge to your AI agents.

FAQs

Everything you want to know about automating repetitive tasks with Lleverage.

What types of work can AI agents automate?

AI agents excel at knowledge-based, process-driven tasks that follow consistent patterns. This includes data processing, research, content creation, customer support, and analysis work.

How do you ensure quality and accuracy in the work completed by AI agents?

Our platform includes multiple quality control mechanisms, such as:

- Built-in validation rule
- Optional human review steps
- Performance monitoring
- Continuous learning from feedback
- Quality metrics tracking

How long does it take to fully automate a manual process with AI?

Typical implementation takes 2-4 weeks with the following steps:

Week 1: Process mapping and agent configuration
Week 2: Testing and validation
Weeks 3-4: Parallel operations and optimization

Simple processes can be automated in as little as a few days.

What’s the cost comparison vs human knowledge workers?

Customers typically see a 60-80% cost reduction compared to external teams, with additional benefits of 24/7 availability and instant scaling. Costs are usage-based, so you only pay for actual work performed.

How do we manage the transition from human knowledge workers to AI agents?

We recommend a phased approach. Begin with parallel operations to validate the performance of AI agents. Then, gradually increase the AI workload as confidence builds. Maintain human oversight during the initial months and use built-in analytics to monitor and optimize performance. This ensures a smooth transition without disrupting your operations.

Ready to let AI agents handle more work in less time?

Lleverage is the simplest way to get started with AI development. Design, test, and deploy custom workflows with complete control. No advanced coding required.