Operational AI for safety, security and resilience
SIRV is a UK-based specialist technology company developing software and AI-powered operational workflows for organisations where safety, security, resilience and accountability matter.
Established in 2012, SIRV has more than a decade of experience developing and deploying operational technology for complex organisations. Our established products support incident reporting, security operations and operational management.
Our latest development, SIRV AI, applies artificial intelligence to consequential operational activities where the reliability of information, quality of evidence and accountability for decisions are critical.
What makes SIRV AI different?
General-purpose AI tools provide powerful capabilities, but organisations seeking to apply them to consequential operational processes must design, integrate, test, govern and maintain the resulting workflows.
SIRV AI provides pre-engineered, validated operational workflows that reduce the cost, complexity and risk of building and proving these capabilities internally.
Our approach combines AI with approved information sources, evidence verification, deterministic checks, exception handling, human oversight and auditable records.
The objective is not simply to automate tasks, but to make operational processes faster, more consistent, reliable and accountable.
Applications
SIRV AI supports five broad areas:
1. Secure knowledge access
Helping operational teams find approved procedures, policies and guidance, with source references and appropriate access controls.
2. Document evaluation and compliance assurance
Assessing RAMS, permits, operational plans and other documents against defined requirements, identifying omissions, inconsistencies and matters requiring human review.
3. Intake, triage and routing
Processing operational reports and incoming information, identifying significant issues, prioritising attention and directing appropriate follow-up.
4. Operational intelligence and investigations
Bringing together incident reports, access-control records, CCTV evidence and other information to support investigations, identify emerging patterns and improve operational decisions.
5. Actions, follow-up and institutional memory
Connecting operational information, analysis, decisions, actions and outcomes to preserve lessons learnt and improve future performance.
This final capability is particularly important. Organisations accumulate valuable knowledge through investigations, incidents and operational decisions, but much of it remains fragmented or is lost over time.
SIRV AI aims to help organisations retain, evaluate and reuse that knowledge, creating an intelligence capability that develops through operational experience.
Evidence of operational value
SIRV AI has progressed beyond initial concept development into testing using real customer operational data.
In a recent project with the UK's Science and Technology Facilities Council (STFC), an AI-assisted security investigation workflow identified 20% more valid unauthorised access cases than the existing manual approach.
Analyst processing time fell from approximately six hours to 20 minutes, demonstrating the potential for substantial efficiency improvements alongside better identification of significant events.
The project also demonstrated the importance of evidence traceability, appropriate uncertainty handling and human verification.
Our approach to reliable AI
SIRV focuses on the reliability of complete operational workflows, rather than model performance in isolation.
This includes defining the purpose and limits of each workflow, identifying approved evidence sources, testing performance against measurable criteria, escalating uncertainty and maintaining human accountability.
We also recognise that reliability must be maintained after deployment through monitoring, investigation of deviations and retesting when systems or operational circumstances change.
Collaboration and innovation
SIRV is interested in collaborating with industry and public sector organisations facing consequential operational challenges that are difficult to address using conventional software or general-purpose AI tools.
We are particularly interested in complex security investigations, continuous operational assurance, emerging risk detection, consequential decision support and institutional learning.
Through Innovate UK's BridgeAI programme, we are seeking an eligible UK industry deployment partner to develop and validate a defined AI workflow addressing a genuine operational need.
We aim to establish measurable improvements in operational performance, evidence quality and reliability, while addressing the technical, integration and governance challenges associated with trusted AI deployment.
Our wider objective is to develop repeatable, commercially viable AI capabilities that organisations can deploy and maintain without having to engineer the complete solution themselves.
Website: https://getsirv.com