ENGAGEMENTS / CLEAR EXPECTATIONS
01
Find the right starting point.
A focused discovery engagement
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Workflow and stakeholder mapping
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Data and integration readiness
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Prioritised opportunity
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Pilot scope and evaluation plan
EXAMPLE OUTPUT
A workflow map, a ranked opportunity and a testable pilot brief.
Discuss the scope
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02
Turn a defined scope into a working system.
A scoped delivery engagement
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Experience and workflow design
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Implementation and integrations
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Evaluation and review controls
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Documentation and handover
EXAMPLE OUTPUT
A reviewed working pilot, integration checks and a documented handover.
Discuss the scope
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03
Keep the system useful over time.
An ongoing support engagement
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Quality and exception review
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Source and integration maintenance
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Cost and latency monitoring
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Prioritised improvements
EXAMPLE OUTPUT
Regular quality reviews, issue triage and a prioritised improvement backlog.
Discuss the scope
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No fixed-price promises are implied by these examples. Dependencies, data access and review requirements are confirmed in the project proposal.
BEFORE WE BEGIN
Do we need to know which AI model to use?
No. Start with the workflow and the information it needs. Model and integration choices follow the requirements, including quality, access, operating cost and review needs.
Can you work with our existing tools?
We assess the available APIs and permissions during discovery. The proposed scope identifies supported integrations and any manual steps that should remain.
Will the system act without approval?
That depends on the task and its consequences. We define action permissions and review points explicitly. High-impact or ambiguous actions should have a clear human approval route.
What happens after launch?
Every engagement should define an operating owner, documentation and a handover. Ongoing evaluation and maintenance can be scoped separately.
People × hours × 52 weeks × selected share. Assumes a full working year; excludes setup, review and maintenance. This is a planning tool, not a savings forecast.