Controlled AI workflows for consequential operational work.
SIRV AI gives safety, security and resilience teams purpose-designed workflows for tasks such as document assessment, triage, investigations and procedure access, without having to design, test, validate and maintain those workflows themselves.
Discuss a workflow See the workflows ↓From operational information to reviewable action.
The model is only one part of the system. SIRV AI structures how information enters the workflow, what the AI is allowed to do, what evidence is returned, where people review the output and what is retained afterwards.
Five workflow families, each built around a real operational task.
Start with the work that needs improving, then define the sources, output, review point and measure of success.
| Workflow | What SIRV AI does | What the team receives |
|---|---|---|
| Procedure & knowledge access | Retrieves relevant approved guidance against the user’s operational question. | Source-linked answer User retains the operational decision. |
| Document evaluation | Checks RAMS, plans, procedures or submissions against defined standards and expectations. Explore document evaluation → | Exceptions with supporting evidence Competent reviewer accepts, challenges or rejects findings. |
| Intake triage & routing | Assesses incoming reports, alerts or submissions under agreed rules and thresholds. | Prioritised review queue Uncertain or consequential cases are escalated. |
| Operational intelligence & investigation | Connects reports, logs and other relevant sources to identify chronology, relationships and patterns. | Traceable timeline or operational picture Investigator tests interpretation and verifies evidence. |
| Actions, follow-up & retained learning | Links findings to decisions, owners, actions, outcomes and relevant prior records. | Reviewable action history and reusable learning Named owners retain accountability. |
AI platforms make workflows easier to build. They do not remove the engineering responsibility.
The buying decision is not whether Copilot, Claude or another platform can generate an answer. It is where responsibility sits for designing, proving, governing and maintaining the operational workflow.
Build internally with general AI tools
Deploy with SIRV AI
Controls belong inside the workflow.
Consequential work needs more than a strong prompt. Controls should be visible in how the workflow handles evidence, uncertainty, review and change.
Approved evidence
Limit the workflow to sources the organisation has authorised for the task.
Defined task and boundaries
Specify what the workflow should do, what it should not do and what output is expected.
Deterministic checks
Use fixed logic where behaviour should not depend on probabilistic model output.
Exceptions and escalation
Surface missing, contradictory or uncertain evidence rather than forcing an answer.
Human judgement
Place competent review and accountable decisions at the points where consequences require it.
Evaluation and monitoring
Test representative cases, track performance and review the workflow as operating conditions change.
Further detail: Security and privacy · How SIRV measures impact
Unauthorised-access investigation, tested against real operational records.
The workflow reproduced the cases previously identified manually, then surfaced four additional valid cases confirmed through operational review.
Human CCTV review and final verification remained part of the process. The objective was not autonomous investigation. It was to reduce the work required to assemble and test the evidence.
Time figures use the agreed average estimates for the existing process. Sprint results relate to this tested workflow and should not be treated as universal performance claims.
Demonstrated customer sprint application
Operational reporting and management assurance
Producing a management report is only part of the task. Managers also need to understand what activity took place, what changed and whether individual records contain the evidence expected of them.
To prepare an example operational management report, followed by additional time analysing the information. This is not an AI time-saving result.
The more important output is the quality finding: identifying incomplete operational records so a manager can review the evidence and provide targeted feedback.
From operational record to management review
Customer confirmation: the demonstration met the original requirements.
The record-quality criteria used were provisional. The assessment sequence above is illustrative, not a reproduced customer record. Operational time savings and reporting-quality improvements have not yet been independently measured. Human management review and any subsequent feedback process remain separate responsibilities.
Choose one bounded workflow. Test it against real work.
A focused sprint makes it possible to measure whether the workflow improves the current process before committing to broader deployment.
Define the task
Agree the operational question, decision, users and current process.
Agree evidence
Identify approved sources, expected outputs, exceptions and review points.
Test on real cases
Compare workflow output with representative operational work and human review.
Measure the result
Assess accuracy, time, timeliness, consistency and implementation requirements.
Questions buyers usually need answered before a trial.
We already have Copilot. Why would we need SIRV AI?
General AI platforms can be used to build operational workflows. The question is whether your organisation wants to design, test, govern and maintain that consequential workflow internally. SIRV AI provides specialist engineering around defined safety, security and resilience tasks.
Does SIRV AI replace human judgement?
No. Human review is deliberately retained where competent judgement, accountability or verification is required.
What is the operational layer?
It is the part of SIRV AI that shapes how AI is used in an operational task: approved information, defined workflow steps, traceable outputs, appropriate review and retained learning.
Can SIRV AI use our existing procedures, reports and operational systems?
Yes, subject to the agreed workflow, approved source access and technical integration. The aim is to work from the material relevant to the operational task rather than rely on open-ended prompting.
How do you know whether a workflow is good enough to deploy?
Performance is evaluated against representative cases and agreed measures. Those measures depend on the task and can include identification accuracy, process time, elapsed time, evidence quality, consistency and the amount of human intervention required.
Where does Martyn's Law fit?
Relevant workflows can support practical readiness work such as retrieving approved procedures, assessing plans and submissions, surfacing gaps and retaining a clearer record of review and follow-up. Responsibility remains with the organisation and its competent people.
Related reading: How SIRV AI can support Martyn’s Law readiness
Bring one consequential operational task. We will help determine whether it is suitable for a controlled AI workflow.
Define the task, sources, review points and measures of success before deployment.
