From manual audits to AI across the business

Skaylink, a Vodafone company, runs cloud and security services for regulated clients. What started as an audit-time crisis became an organisation-wide shift: private AI is now embedded in day-to-day knowledge work, in customer success, and in sales - with adoption climbing from a handful of engineers to almost the entire company.

Skaylink delivers cloud and security services to clients in regulated sectors, which means audit obligations arrive constantly and from several directions at once. NIS2 preparation in particular pulled senior engineers away from client delivery for weeks at a time. Beyond audits, day-to-day knowledge work had a similar shape: evidence, precedents, customer incidents, sales collateral and internal know-how lived across SharePoint, ticketing systems and individual inboxes - and every question meant reassembling the same picture by hand.

The team had already tried public AI tools individually. That created a different problem: the documents involved were client-confidential, and security could not approve a vendor holding that data. Microsoft Copilot was in place but did not reach the document repositories where the actual work lived, so answers still had to be assembled manually.

Moterra deployed a private Claude environment inside Skaylink’s own cloud, connected to their existing document repositories with permissions inherited from Entra ID. On that foundation, Skaylink now runs a full private AI stack across the business:

Setup took under a week, with IT and user training delivered in the same period.

The audit story was just the beginning. NIS2 preparation time dropped by around 80%, and the same team now handles three times the audit volume. Adoption reached 80% of the team within the first week - without a rollout campaign - and today almost the entire company uses AI in everyday work.

The impact now extends across the business. Sales reps save two to three hours of client, market and competitor prep before every customer meeting, freeing capacity for more deals across the team. Technical account managers use AI-driven analysis of customer incidents and tickets to deliver quarterly customer audits in hours instead of days, redirecting more than a hundred senior days a year toward proactive, higher-value work with clients. And on the delivery side, a business analyst role Skaylink was about to hire is now handled by AI, turning initial client needs into clarifying questions and full technical specifications for the DevOps team.

Combined, these shifts unlock an estimated €300,000+ of capacity per year across sales, customer success and delivery. But the goal was never to cut costs by reducing headcount - it was to enable the same team to do twice as much: more customers served, more proposals delivered, more premium value created.

What problem did Skaylink need to solve?

Skaylink delivers cloud and security services to clients in regulated sectors, which means audit obligations arrive constantly and from several directions at once. NIS2 preparation in particular pulled senior engineers away from client delivery for weeks at a time. Beyond audits, day-to-day knowledge work had a similar shape: evidence, precedents, customer incidents, sales collateral and internal know-how lived across SharePoint, ticketing systems and individual inboxes - and every question meant reassembling the same picture by hand.

What did Moterra deploy for Skaylink?

Moterra deployed a private Claude environment inside Skaylink’s own cloud, connected to their existing document repositories with permissions inherited from Entra ID.

What results did Skaylink see?

The audit story was just the beginning. NIS2 preparation time dropped by around 80%, and the same team now handles three times the audit volume. Adoption reached 80% of the team within the first week - without a rollout campaign - and today almost the entire company uses AI in everyday work.

Where does the deployment run?

Inside the client’s own cloud tenant, in the region they choose. The deployment is Private Claude Cowork by Moterra, with admin, MDM and governance handled by Moterra AI Bridge. Moterra builds in AWS and Azure, operates as a data processor under a DPA covering UK and EU GDPR, and the stack is ISO 27001 and ISO 42001 certified across the AWS and Anthropic layers.

How long does a deployment like this take?

Standard deployment is typically live within one to two weeks, covering environment and region setup, the identity path from your SSO, managed configuration through your MDM, and the connector allowlist.

Bring the hardest questions to the first call.

Thirty minutes, a live demo, and a quote for your environment.

Moterra is a private AI deployment company. We help businesses deploy Claude inside their own AWS or Azure environment, connect it to the tools they already use, and keep it secure and governed, so everyday processes get faster.

Solutions

Company