Introducing Aidoqo Signal: cloud, AI, data and security in one monthly read.Read Issue 01
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Results our clients can check

Each story names the problem first, then what changed for the people involved.

6 hrs

Month-end close, down from four days

Month-end reporting cut from four days to six hours

Finance was consolidating figures by hand across systems that did not talk to each other. Governed data pipelines and automated workflows replaced the re-keying, and every exception now traces back to its source record.

Challenge
Manual consolidation across systems
Approach
Governed data and workflow automation
Solutions
Artificial Intelligence, Digital Transformation
99.96%

Availability on the new platform

A mission-critical environment moved to multi-zone Kubernetes

Applications ran on servers that only two people knew how to rebuild. We moved them to Kubernetes across three availability zones with automated provisioning and end-to-end observability, then took on day-to-day operations.

Challenge
Fragile, hand-built servers
Approach
Multi-zone Kubernetes, observability
Solutions
IT Infrastructure
Map first

Why the savings held after go-live

Mapping the process before automating it

An approvals process had grown workarounds nobody had written down. We mapped how work really moved, removed the steps that existed only to fix earlier steps, and automated what remained.

Challenge
Undocumented workarounds
Approach
Process mapping, then automation
Solutions
Artificial Intelligence, Digital Transformation

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