Process discovery
Identify repetitive work, decision points, exceptions and the opportunities where AI is genuinely appropriate.
OUTPUTAutomation opportunity mapCapability 06 · AI Automation
Turn repetitive work into governed intelligent workflows.
We combine process redesign, AI and human judgement to release capacity without hiding decisions or weakening control.
06 · GRADENCE CAPABILITY
DESIGNED OUTCOMETeams spend less time on repetition and more on judgement.
Strategy · System · AdoptionTHE OPPORTUNITY
Teams spend less time on repetition and more on judgement.
We combine process redesign, AI and human judgement to release capacity without hiding decisions or weakening control.
01CapacityHours redirected
02FlowCycle time
03ControlExceptions and approvals
INTERACTIVE PRIORITY LAB
Start with the decision
that matters now.
Select a priority to see how the capability is shaped around a measurable operating outcome.
PRIORITY 01
Which repetitive work consumes expert attention?
We quantify work patterns and redesign the process before selecting the right automation approach.
SIGNALS TO TRACK
Hours redirectedIntent
Touch timeFlow
AdoptionValue
WHAT WE DELIVER
One capability.
Four connected workstreams.
Each workstream produces a useful decision or operating asset. Together, they create a capability your team can own and improve.
AI workflow design
Design the end-to-end flow, data boundaries, prompts, tools and failure handling around a clear outcome.
OUTPUTGoverned workflow blueprintHuman approvals
Place judgement, verification and escalation at the right points with named accountable owners.
OUTPUTHuman-control modelMonitoring & governance
Track quality, drift, exceptions, adoption and value so the automation remains explainable and useful.
OUTPUTLive control frameworkAI AUTOMATION DELIVERY MODEL
Visible progress from question to live capability.
A focused sequence with decision-ready evidence at every stage.
Discover
Map work and automation suitability.
Opportunity mapDesign
Define AI boundaries and approvals.
Governed blueprintDeploy
Integrate, test and release.
Live automationGovern
Monitor outcomes and behaviour.
Control rhythmSERVICE-SPECIFIC ASSURANCE
Confidence designed around this capability.
Human accountability+
AI supports defined tasks while named people retain authority for consequential decisions.
Model and data controls+
Purpose, data access, prompts, monitoring and change history remain reviewable.
Operational resilience+
Fallback paths and exception handling ensure work can continue safely when automation cannot.
WHERE THIS FITS
A strong starting point when…
We confirm suitability during discovery and will say when a narrower intervention—or a different capability—would create better value.
Teams spending expert time on repetitive information handling and coordination
Organisations exploring AI but needing a controlled, outcome-led first use case
Businesses that require human approval, traceability and exception handling around automated work
EVIDENCE, NOT CLAIMS
How progress can be demonstrated.
Measures are agreed against your real baseline and scope. These are evidence categories, not promised results.
Hours redirected, touch time and throughput against the agreed baseline
Approval quality, exception rates and audit completeness
User adoption, outcome quality and safe fallback performance
COMMON QUESTIONS
Useful answers before you start.
How do you decide whether AI is appropriate?+
We examine the outcome, process stability, information quality, risk and need for judgement. Rules-based automation or a process change may be better than AI for some work.
Can you use our existing software?+
Often, yes. We assess available APIs, permissions, data boundaries and operational ownership before recommending the smallest responsible integration approach.
How do people remain in control?+
Approval points, verification, escalation and override routes are designed into the workflow. Named owners remain accountable for consequential decisions.
How is an automation maintained after launch?+
We define monitoring for quality, exceptions, value and change. The operating team receives the documentation and ownership model needed to review and improve it.
MOVE FROM IDEA TO ACTION