Agent Business Model

Introducing our Agent Business Model - where human expertise meets AI intelligence

Our Agent Business Model represents a new approach when it comes to quality assurance across all disciplines from strategy to execution. It comprises human expertise and AI agents into one coherent personal digital companion, designed to increase efficiency, standardize quality, and scale services without increasing costs.

AI Powered testing solutions image 5 scaled 1
AI Powered testing solutions image 5 scaled 1

Additional key benefits at a glance

Unprecedented testing efficiency

Sustainable knowledge retention

Greater delivery consistency
and reliability

Flexibility and scalability across teams and domains

Substantial cost optimization

Easy integration thanks to open source and public API

benefit image

The three components
of the Agent Business Model

Digital Companion

Think of the Digital Companion as an intelligent interface that learns from users continuously and acts as their “digital twin.”
It mirrors their way of working, consulting approach, and testing expertise.

How the Digital Companion works:

  • Learns continuously from users’ approaches and methods
  • Retains domain knowledge, decisions, and patterns
  • Acts as the human-friendly interface to AI agents
  • Makes advanced automation usable through natural language
Digital Companion 5
Digital Companion 5
robot icon green 1
Human Agents 4
Human Agents 4

Human Agents

Our Human Agents are experienced test consultants who bring deep industry expertise, critical thinking, and contextual understanding to every engagement. They stay firmly in control to define strategy, make decisions, and deliver high-impact QA solutions with a human touch.

Empowered by AI, they combine smart automation with expert consulting to deliver faster, more reliable results. They focus on what matters most – strategic thinking, complex problem-solving, and client relationships, while AI handles repetitive, time-consuming tasks.

Human Agents 4
Human Agents 4

AI Agents

Finally, our AI Agents are modular, task-specific automation services that work together as an intelligent ecosystem and can be trained on virtually any environment.

Each AI agent performs a focused job, such as test case generation, test data creation, execution orchestration, reporting, and collaborates with others for end-to-end automation. This allows complex workflows to run automatically across tools and systems.

Delivered via SaaS or on-premise, AI agents are trained on your unique environment and integrated seamlessly to run on your systems using your data and always delivering consistent output.

Human Agents 3
Human Agents 3
robot icon orange

How it all works together?

These three components don’t work separately, but they’re seamlessly integrated into one unified system. In simple terms, The Human Agent decides what needs to be done, The Companion translates intent into action, AI Agents execute tasks efficiently and consistently, and results flow back to the human for validation and decision-making.

 

 

 

 

 

 

A Human Agent asks the Companion a question or gives it a task in plain language

 

 

 

 

 

 

The Companion understands their intent, accesses the knowledge spaces, and activates relevant AI agents

 

 

 

 

 

 

AI Agents execute the work, generating test cases, creating data, running tests, producing reports

 

 

 

 

 

 

Human Agents review, refine, and make strategic decisions based on AI-generated outputs

 

 

 

 

 

 

The Companion learns from every interaction, becoming smarter and more tailored to your way of working

All of this happens through a simple chat interface to create a seamless loop between human expertise and automated execution.
No scripting. No complex configurations. Just natural conversation that triggers powerful automation and delivers substantial
gains in speed and efficiency.

How it all works together?

These three components don’t work separately, but they’re seamlessly integrated into one unified system. In simple terms, The Human Agent decides what needs to be done, The Companion translates intent into action, AI Agents execute tasks efficiently and consistently, and results flow back to the human for validation and decision-making.

 

 

 

 

 

 

A Human Agent asks the Companion a question or gives it a task in plain language

 

 

 

 

 

 

The Companion understands their intent, accesses the knowledge spaces, and activates relevant AI agents

 

 

 

 

 

 

AI Agents execute the work, generating test cases, creating data, running tests, producing reports

 

 

 

 

 

 

Human Agents review, refine, and make strategic decisions based on AI-generated outputs

 

 

 

 

 

 

The Companion learns from every interaction, becoming smarter and more tailored to your way of working

All of this happens through a simple chat interface to create a seamless loop between human expertise and automated execution.
No scripting. No complex configurations. Just natural conversation that triggers powerful automation and delivers substantial
gains in speed and efficiency.

A closer look at the benefits
for your organization

Unprecedented testing efficiency

  • Automated workflows that previously took hours now complete in minutes
  • Less manual coordination, faster progress across the entire testing lifecycle

Sustainable knowledge retention

  • Knowledge never walks out the door when someone leaves
  • Continuous learning improves performance over time

Greater delivery consistency and reliability

  • Standardized outputs ensure corporate-wide consistency
  • Reduced human error in repetitive tasks
  • Auditability and traceability of all actions

Flexibility and scalability

  • Deployed on-premise or as SaaS
  • Scale capacity up or down smoothly
  • Adapt to new technologies and methodologies quickly

Cost optimization

  • Do more work with the same team size
  • Reduce per-release costs significantly

Immediate, universal accessibility

  • Natural language interface
  • Minimal training needed for team adoption

Unprecedented testing efficiency

  • Automated workflows that previously took hours now complete in minutes
  • Less manual coordination, faster progress across the entire testing lifecycle

Sustainable knowledge retention

  • Knowledge never walks out the door when someone leaves
  • Continuous learning improves performance over time

Greater delivery consistency and reliability

  • Standardized outputs ensure corporate-wide consistency
  • Reduced human error in repetitive tasks
  • Auditability and traceability of all actions

Flexibility and scalability

  • Deployed on-premise or as SaaS
  • Scale capacity up or down smoothly
  • Adapt to new technologies and methodologies quickly

Cost optimization

  • Do more work with the same team size
  • Reduce per-release costs significantly

Immediate, universal accessibility

  • Natural language interface
  • Minimal training needed for team adoption

Why the Agent Business Model is more than an AI assistant?

Most companies stop at AI tools or isolated agents.

  • Agents alone are not usable at scale without the Companion
  • Engineering-heavy solutions limit adoption
  • Workflows are fragmented due to disconnected tools and systems

Thanks to unique design, Sixsentix goes one step further to combine:

  • Knowledge access
  • Private AI agents trained on your environment
  • Seamless automation workflows

…into one simple, human interface.

You don’t just ask questions.
You get work done, end-to-end.

Others might offer AI tools or agents. We offer a complete, proven system where human expertise and AI intelligence work as one – accessible to everyone, deployed at scale, and delivering measurable results.

Example: Generating test cases

A consultant asks the Companion to generate test cases based on existing documentation.

What happens next:

 

  • The Companion retrieves relevant documentation and context
  • A Test Case Generator Agent, triggered by the Companion, creates structured test cases
  • The Companion presents the generated test cases to the consultant for review
  • Test cases are validated by the human expert
  • Test cases are exported into the test tool (e.g. Jira) as a structured test suite


This highly automated process enables faster and more consistent delivery, with the human still remaining in control of quality.

Forget about:

Manual, repetitive testing work that drains your experts’ time and energy

Knowledge loss when experienced team members leave or move to other projects

Inconsistent quality caused by different people following different approaches

Slow release cycles that can’t keep pace with business demands

Scaling bottlenecks where adding capacity means lengthy hiring and onboarding

High per-release costs that make frequent deployments economically unfeasible

Business user burnout from
constant UAT involvement

Limited test coverage because there’s never enough time to test all important functionalities

Disconnected solutions where knowledge bases and automation exist in separate silos

Our promise - scaling and
efficiency over time

Here’s what makes our Agent Business Model truly transformative: it gets better the more you use it.

More usage → more learning 

More learning → better automation 

Better automation → higher capacity 

Higher capacity → more value at the same cost 

Phase 1:

Immediate impact

(10% efficiency gain)

Phase 2:

Optimized operations 

(40% efficiency gain)

Phase 3:

Transformational scale 

(>100% efficiency gain)

When the system is fully integrated and trained on your environment, the compound effects kick in:

  • Knowledge built through every interaction enriches the entire organization
  • New team members ramp up in days instead of months
  • Complex tasks that once took hours complete in minutes

The result:

This isn’t a one-time efficiency gain, but a permanently evolving model.

Year over year, you’ll do more work with the same team. Your capacity grows. Your quality improves. Your costs stabilize or decrease. And your competitive advantage compounds.