The Challenge
A cybersecurity consulting firm specialised in cybersecurity practice and standards assessments, followed by detailed compliance and risk reporting for enterprise clients. The assessment process was highly manual and document-heavy, requiring extensive back-and-forth between consultants and clients.
In a typical engagement:
- 700+ documents and images were submitted as evidence
- Consultants manually reviewed, classified, and validated each item
- Assessments often took months to complete
The manual nature of evidence handling limited scalability and increased operational strain on consulting teams.
Why the Problem Was Critical
- Long assessment cycle times reduced client satisfaction
- High consulting effort increased cost per engagement
- Limited scalability constrained the number of projects consultants could handle
- Manual review introduced risk of human error and inconsistency
- Lack of early visibility into evidence gaps delayed decision-making
The firm needed a solution that could:
- Handle large volumes of unstructured cybersecurity evidence
- Improve data interpretation and consistency
- Reduce manual workload while preserving expert judgement
- Maintain strict security, governance, and auditability standards
Why AiMod Was Selected
The firm selected AiMod for its ability to apply agentic AI and AI agents to complex, document-intensive assessment workflows.
Key decision factors included:
- Native support for documents, images, and screenshots through cognitive ingestion
- Dynamic, agent-driven questionnaires instead of static assessment forms
- Built-in human-in-the-loop design for expert validation
- Ability to scale consulting output without increasing headcount
Solution Overview
Using Infomina AiMod, the firm implemented an agentic AI decision intelligence platform to modernise cybersecurity assessment workflows.
AI Agents Deployed
- Cognitive Ingestion Agent (CIA) - Analysed unstructured evidence including documents, images, and screenshots, converting them into structured, assessable data.
- Data Orchestration Agent (DOA) - Orchestrated data integration and workflow coordination across evidence ingestion, assessment logic, and reporting.
- Decisioning Agent (DA) - Applied assessment criteria, mapped evidence to cybersecurity standards, and generated explainable assessment outcomes.
Models & Capabilities
- Document and image understanding models for cybersecurity evidence
- Reasoning models to map evidence against cybersecurity controls and practices
- Explainable decision logic aligned with consulting standards
AI-to-the-Data Execution
AiMod was deployed using an AI-to-the-Data architecture:
- Clients uploaded evidence directly into the AiMod environment
- AI agents analysed evidence in-place, without data extraction
- Assessment forms were automatically populated with supporting justifications
This ensured secure data handling, auditability, and compliance with cybersecurity best practices.
Processes Improved
- Automated evidence review and mapping to assessment criteria
- Intelligent questionnaire completion with explanations
- Faster draft report generation for consultant review
Consultants shifted from manual document review to validation, judgement, and final reporting.
Results & Impact
Operational Efficiency
- Significant reduction in manual evidence review effort
- Faster assessment completion across engagements
- Improved consultant productivity and scalability
Decision Quality & Insight
- Faster identification of control gaps and compliance status
- Clear visibility into evidence coverage and missing controls
- More consistent assessments across projects
Time-to-Value
- Immediate reduction in consultant workload upon deployment
- Faster turnaround enabled higher project throughput
Governance, Explainability & Compliance
AiMod delivered:
- Secure handling of sensitive cybersecurity evidence
- Direct linkage between evidence, assessment logic, and conclusions
- Clear justification for every assessment outcome
- Audit-ready documentation supporting consulting and client reviews
