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Trigger
A new enquiry, booking, payment, email, or document arrives.

AI automation review
We identify the workflow, the right approval points, and whether automation is a sensible first step—before anyone builds an AI agent.
Where it starts
Automation is worth reviewing when the work happens often, follows a recognizable pattern, and still needs a person to decide.
A simple flow
The goal is not to remove judgement. It is to remove the repetitive work around it.
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A new enquiry, booking, payment, email, or document arrives.
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AI prepares a grounded draft or classifies the request against your rules.
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A named person reviews the output before anything is sent or changed.
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The CRM, inbox, sheet, or operations tool is updated in the agreed format.
The first release may be a narrow pilot: one workflow, one team, one approval rule, and a clear measure of whether it is helping.
What we assess
We do not start with a model or a stack. We start with the work, the people, and the failure points.
Proof
Dalruz keeps each client’s email and social conversations in an isolated workspace, prepares a grounded reply, and lets the owner decide what can be sent automatically.
What this is not
It is not a chatbot demo, and it is not a promise to replace staff. It is a narrower promise: remove repeat work, keep a person in control, and measure whether the workflow improves.
The next step
The review tells you whether automation is worth doing, and what the smallest useful first release should cover.
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We map the workflow, the volume, the tools, and the approval points.
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We walk through whether automation is sensible, and what the first release should do.
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If it is a fit, you receive a scope, boundary, timeline, and investment.
Automation review
Describe the workflow, the tools, and who approves the result. We will tell you whether automation is sensible before anyone builds an agent.
This is not a chatbot demo, and it is not a promise to replace staff.