CASE STUDIES

Real-world outcomes.

Four AWS projects, the numbers they delivered, and the Assess, Build and Operate path we would use for the same problem today.

Trusted by teams across Europe

  • Securotek
  • AMSA Consulting
  • Nortax
  • Artificial Societies
Agentic AI· Global logistics company

From a 24-hour queue to a 45-second answer

Agentic AI workflow for IT support

The challenge

Repetitive IT support tickets created long queues and pulled senior engineers away from higher-value work.

What we did

We built an agentic AI workflow on AWS that reads each ticket, classifies the intent, checks permissions across internal systems and carries out approved security actions in AWS IAM. Anything outside policy goes to a person.

of tickets resolved without a person
90%
of tickets resolved without a person
average wait, down from 24 hours
45 sec
average wait, down from 24 hours
engineering time back every month
~120 h
engineering time back every month

Built with

  • Amazon Bedrock
  • AWS Step Functions
  • AWS IAM

How we would run this today

  1. AssessCN AISpark

    Pick the use case and design it for production.

  2. BuildCN AIShip

    Measured PoC, then production with guardrails, evaluations and human-in-the-loop controls.

  3. OperateCN Pulse Plus

    AI spend and AI security findings reviewed every month.

Migration· Logistics company

Out of the data centre two weeks early, with no downtime

Legacy monolith to AWS

The challenge

The company had to leave its on-premises data centre quickly, and its core tracking monolith could not go down.

What we did

We replatformed rather than rewrote: the application moved into containers on Amazon ECS, the database moved to Amazon RDS, and a blue/green pipeline made every release, including the cutover, zero-downtime.

less operational overhead
40%
less operational overhead
availability after go-live
99.99%
availability after go-live
ahead of the data-centre exit date
2 weeks
ahead of the data-centre exit date

Built with

  • Amazon ECS
  • Amazon RDS
  • Blue/green CI/CD

How we would run this today

  1. AssessCN ExitCompass

    Turn the exit date into a costed wave plan.

  2. BuildCN LiftWave

    Move the wave with blue/green cutovers.

  3. OperateCN Pulse Lite

    Cost and security watched monthly after go-live.

Serverless· Fintech startup

A 500% launch spike, absorbed with no servers to tune

Greenfield serverless event engine

The challenge

The startup had to process thousands of transaction events per second, without managing servers or paying for idle capacity.

What we did

We designed and built a fully serverless, event-driven platform that scales on demand and is billed per use.

launch traffic spike, no slowdown
500%
launch traffic spike, no slowdown
idle infrastructure cost
~0
idle infrastructure cost
manual tuning needed
0
manual tuning needed

Built with

  • AWS Lambda
  • Amazon EventBridge
  • Amazon DynamoDB

How we would run this today

  1. AssessCN Architecture

    Well-Architected review of the design before launch.

  2. BuildCN GoldenPath

    One paved serverless path from commit to production.

  3. OperateCN Pulse Lite

    Cost per transaction and anomalies reviewed every month.

Security foundation· Regulated financial services firm

Compliant by default, from the first account

Multi-account security architecture

The challenge

The firm needed a new AWS environment that was ready for ISO 27001 and GDPR from day one.

What we did

We built an AWS Control Tower landing zone with custom guardrails, central logging, strict service control policies for regions and services, and a hub-and-spoke network behind AWS Network Firewall.

attempt pass at the external security audit
1st
attempt pass at the external security audit
to a new, compliant developer account, down from 2 weeks
~1 hour
to a new, compliant developer account, down from 2 weeks

Built with

  • AWS Control Tower
  • Service control policies
  • AWS Network Firewall

How we would run this today

  1. AssessCN Shield

    Security score mapped to ISO 27001 and GDPR technical controls.

  2. BuildCN NerveBase

    Multi-account foundation as code, compliant by default.

  3. OperateCN Pulse Lite

    Framework-mapping drift caught every month.

The audit was run by the client's independent auditor. NerveCenter maps technical controls; CloudNerve does not audit or certify.

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