Unclear use cases
Teams experiment with general-purpose AI without a defined user, workflow, success measure or accountable owner.
Governed business automation
AI Automation
& Assistants
Automate defined business tasks with approved information, explicit permission boundaries and human review where judgement or accountability matters.
FLOW ORCHESTRATIONREADY
01Trigger SIEM Alert Parser
02Enrich Context via Guardian AI
03Evaluate Policy Rules
04Commit Action to Ledger
DefinedJob and success criteria
ControlledTools, data and permissions
ReviewableDecisions and outcomes
What this means for you
Start with a useful job, then design the safeguards around it.
AI creates value when it improves a real workflow and operates within boundaries people can understand. We help teams select appropriate use cases, connect approved information and tools, and retain human judgement for consequential decisions.
Problems addressed
Start with the operational risk.
We focus the engagement on the situations that could interrupt service, expose information or leave important decisions without clear ownership.
Uncontrolled data and tools
Assistants may gain access to sensitive information or actions without a clear business need or permission model.
No operating model
Pilots reach production without monitoring, exception handling, human review or a reliable way to improve performance.
What is included
A defined service, not a collection of tools.
Scope is agreed before delivery, with named responsibilities, practical outputs and a clear route for decisions and escalation.
Use-case and workflow design
Define the user, task, inputs, decisions, exceptions and measurable outcome before selecting technology.
Knowledge and permission boundaries
Specify approved information, tools, actions and access controls for each role and workflow stage.
Human review and exception routes
Place approval, escalation and fallback steps where uncertainty, sensitivity or impact requires judgement.
Operational monitoring and evidence
Track usage, quality, exceptions, approvals and outcomes so the workflow can be governed and improved.
How delivery works
A practical path from assessment to improvement.
The exact activities vary by environment, but the delivery model remains transparent and easy to govern.
Select
Prioritise a bounded workflow with useful data, repeatable demand and a clear owner.
Design
Map the process, risks, permissions, checkpoints and expected outcome.
Pilot
Test with representative users and controlled information before wider access.
Operate
Monitor quality and exceptions, review permissions and expand only when evidence supports it.
Expected outcomes
What good looks like.
We agree measurable service outcomes during discovery. These are the practical improvements the engagement is designed to create.
Useful automation
Time is removed from a defined workflow rather than shifted into checking unreliable output.
Accountable decisions
People remain responsible for sensitive actions and can see how recommendations were produced.
Controlled adoption
Teams can expand successful workflows without losing visibility of data, permissions or performance.
Related capabilities
Connect this service to the wider operating model.
Explore the platform capabilities that support governed decisions, coordinated action and useful evidence.
Start with a conversation
Choose one workflow worth improving.
Bring us a repetitive task, decision or hand-off. We’ll assess whether AI is appropriate and define a safe first pilot.
Discuss an AI workflow ↗