Your safety data shouldn't just sit in registers. It should work for you.
SMP 365 designs and implements specialised AI agents for your organisation, connecting safety information to help people identify relationships, prepare work and review issues across separate registers.
Risk. Hazards. Incidents. Actions. Inspections. Audits.
One connected intelligence layer.
Custom-scoped for each customer. Illustrative workflows below are not a list of features included in every installation.
AI assists. People decide.
Your modules don't operate independently. Neither should your AI. A customer-specific workflow can bring the relevant agents together around one issue, with evidence available for human review.
The Hazard Agent retrieves similar reports and a possible link to the Working at Height risk.
Risk, Incident and Inspection Agents look for relevant controls, previous events and assurance findings.
The Action Agent brings forward earlier corrective actions and their verification records.
Cortex presents the sources, possible relationships and a suggested review—not an automatic safety determination.
Working at Height · recorded residual risk: Medium
Suggested next step: Review the fall-prevention control with the responsible person and check the underlying evidence.
These fictional figures explain the workflow. They do not indicate a safe condition, establish causation or replace an operational assessment.
Start with the work you need to improve. We scope the agent responsibilities, connected records and review steps with you, then design the implementation around your people and Microsoft environment.
Connect the risk register to what is happening in the field.
Suggested changes stay in draft until an authorised person reviews the evidence and approves the assessment.
Prepare the evidence. Support the investigator.
Evidence, inference and suggested lines of enquiry must remain distinct. AI does not establish a cause or replace a competent investigator.
Recognise a recurring issue, not just a new record.
Potential matches are presented with their source records so a person can confirm relevance before escalation.
Ask whether an action worked—not only whether it closed.
A recurrence is a prompt for an effectiveness review, not proof that an action failed. Closure remains an authorised human decision.
Bring the assurance picture together.
Coverage depends on the records, permissions and review periods agreed for your implementation.
Bring your priority use case, current process and available records. We will map the proposed agent, the access it needs, its approval boundaries and how the result will be tested.
Scope an AI solution“What should I be concerned about today?”
A conversational interface can provide an entry point into the connected agent workflow. Its purpose is to bring forward relevant records, explain why they were surfaced and help the user decide what to review next.
Questions, data coverage and escalation rules are agreed during design. Answers should expose their evidence and limitations, not imply that an AI summary is a complete safety picture.
Mobile plant separation appears in several hazards and inspection findings. Check the linked evidence and current controls.
Reported hand injuries share task and equipment characteristics. Confirm whether a meaningful pattern exists.
Selected high-risk controls have no current verification recorded. Check whether the evidence is missing or the review is overdue.
Example response only. No customer records or live monitoring are shown.
Safety-critical work needs clear accountability. We design the agent's permitted actions and approval gates before connecting it to controlled processes.
AI can be wrong or incomplete. Permission checks, validation, auditability and competent human review remain essential. Agent recommendations do not certify compliance or determine that work is safe.
We design around your Microsoft environment, with explicit decisions about identity, data access, processing and operational ownership. The architecture is selected for the agreed use case—not imposed as a one-size-fits-all stack.
Connect the selected SMP 365 records, documents and working experiences. Define which sources are in scope and who is allowed to see them.
Design scoped identities and access permissions. Microsoft Foundry supports agent identity and role-based access; the implementation must configure and validate that access.
Select the agent, model, search or document-processing services needed for the workflow, subject to availability, configuration and licensing.
Agree logging, review and support responsibilities. Application Insights can form part of the monitoring design where appropriate.
Data flows, processing regions, retention, service charges and customer responsibilities are documented in the solution design. Azure processing may occur outside SharePoint. Microsoft technology does not imply Microsoft endorsement of SMP 365.
Technical references: Microsoft Foundry Agent Service · Agent identity and access
Move from a useful idea to a scoped implementation. We define what the solution should do, what it must not do and what successful delivery looks like before the build begins.
Map the use case, records, users, approvals and success criteria. Agree the proposed scope and quote.
Configure the agreed architecture, data connections, agent responsibilities and human review workflow.
Test with representative examples and authorised users. Confirm responsibilities, guidance and the agreed support arrangements.
Projects commence after approval of the scope and quote. Remaining payment milestones, Microsoft/Azure costs and ongoing support are set out in your proposal.
No. This is a custom design and implementation service. We agree which agents, data sources, integrations and approval workflows are appropriate for your organisation. The examples on this page illustrate potential workflows, not a standard feature entitlement.
Our proposed safety-agent design keeps consequential decisions with authorised people. Agents can retrieve information, identify possible relationships and prepare drafts. Controlled updates, assignments, status changes and closures require the approvals agreed in your workflow.
Your tenant. Your data.
Projects commence with a 50% deposit after approval of the scope and quote. Remaining payment milestones, Microsoft or Azure charges and any ongoing support are set out in your proposal. No payment is collected on this page.
Yes. A focused first implementation can establish the data connections, review process and success criteria before extending to more agents. Bring a practical example of the safety work you want to improve to the scoping conversation.