AI-assisted scenario generation for faster cybersecurity consulting

A streamlined approach to creating, refining, and validating complex security scenarios

This case study explains how we supported a cybersecurity consulting team in building an AI-powered solution to simplify and accelerate the creation of diagnostic scenarios. The system reduces manual effort, shortens iteration cycles, and enables consultants to focus on delivering value rather than preparing materials.

Significant reduction in time required to create scenarios (from weeks to days)
Fewer iteration cycles with end clients
Reduced manual effort in preparing materials
Ability to generate multiple scenario options quickly
More scalable and consistent scenario creation process

Consulting
Industry
3 specialists
Team size
United Kingdom
Location
2 months
Project duration

[ Business context ]

Cybersecurity consultants regularly prepare detailed diagnostic scenarios for client engagements. These scenarios are used to assess the readiness and response of client teams and serve as a foundation for further consulting services.

Previously, the process was highly manual and time-consuming. Creating a single scenario could take up to two weeks and requires multiple iterations, including drafting materials, reviewing them with the client, collecting feedback, and refining the content until approval.

With the growing adoption of AI across the market, we identified an opportunity to optimize this workflow, reduce effort, and improve speed while maintaining quality.

[ Product scope ]

During our collaboration, the Onix team needed to:

Building an AI-assisted workflow for scenario generation

Enabling interaction with an AI agent through a chat interface

Supporting file uploads to provide additional context

Generating multiple scenario options for selection

Creating structured scenario content and “injects”

Ensuring data isolation between different organizations

Modernize your most complex workflows with AI. We help enterprise teams turn time-intensive processes into fast, scalable, and controlled systems.

[ Solutions we provide ]

Our role for cybersecurity consulting company was to design and implement the core functionality of an AI-assisted scenario generation workflow, focusing on usability, efficiency, and alignment with existing processes.

The user initiates scenario creation and provides initial input through prompts or uploaded files. The AI agent asks follow-up questions to gather all required context. Once enough information is collected, the system generates a summary and proposes multiple scenario options.

After the user selects and confirms one, the system generates a detailed scenario and begins creating structured content step by step. All generated elements are stored as a draft, allowing the user to review progress, make adjustments, and finalize the scenario. Final validation and approval remain under human control.

We made a great effort to provide the following solutions:

AI-driven interaction flow

We developed a chat-based interface where consultants interact with an AI agent. The agent guides users through the process by asking clarifying questions, helping gather all necessary inputs before generating scenarios.

Context-aware input processing

Users can provide prompts, upload supporting documents, and add manual input. The system processes this information to build a complete context for scenario generation, ensuring relevance and accuracy.

Automated scenario generation

Based on collected inputs, the system generates multiple scenario options, allowing users to compare and select the most suitable one. After selection, a more detailed version is produced.

Structured content generation

The solution generates structured scenario data and text-based “injects,” which are progressively created and stored. This allows users to monitor the process and make adjustments as needed.

Real-time refinement workflow

Instead of multiple offline iterations, users can review, adjust, and refine scenarios during live sessions. This significantly reduces feedback loops and speeds up approval.

Data isolation and security approach

The system ensures that data is isolated per organization. Uploaded files are used only within the active session context and are not stored as a shared knowledge base.

Core technology stack we used

Amazon Bedrock (AI services),

AWS infrastructure,

S3-based storage approach,

Existing platform integrations (LMS, SSO)

[ Results ]

As a result of our collaboration, company received a production-ready AI-assisted workflow that significantly improves the efficiency of scenario creation while preserving expert control.

Scenario preparation time reduced from ~2 weeks to a few days (up to 70–80% faster)
Iteration cycles reduced from 2+ feedback rounds to a single live session in most cases
Significant reduction in manual effort for consultants, freeing up time for higher-value tasks

Faster generation of multiple scenario options, increasing flexibility and coverage
Improved turnaround time for client-facing engagements

The solution enables consulting teams to move from a slow, iterative preparation process to a more dynamic, real-time workflow—without compromising quality or control.