by CPI Staff | Jul 22, 2026 | AI Agents, AI for Business & AI Strategy, AI Governance & Risk Management, Blog
In this blog post When Your Business AI Agent Needs Long-Term Memory for Better Service we will explain how to recognise when remembering past interactions will improve business results, and when it will simply create more cost, complexity and risk. Many AI agents...
by CPI Staff | Jul 22, 2026 | Azure Managed-Identity, Azure Security, Blog, Microsoft AI Foundry
In this blog post Secure Microsoft Foundry Projects with RBAC and Managed Identity we will explain how to stop AI projects accumulating excessive access, shared credentials and unclear ownership as they move from testing into production. The high-level idea is simple....
by CPI Staff | Jul 21, 2026 | Backup & Disaster Recovery, Blog, Cybersecurity Strategy & Governance
In this blog post Why Backup Monitoring and Recovery Planning Matter for Every SMB we will explain why simply having backups is not enough, how backup monitoring works, and what a practical recovery plan should include. Most businesses assume their data is protected...
by CPI Staff | Jul 21, 2026 | AI for Business & AI Strategy, Blog, Cloud Cost & FinOps, OpenAI
In this blog post How SMBs Can Control AI Costs with the GPT-5.6 Model Family we will explain why AI bills often grow faster than expected, how the technology is priced, and what practical controls can keep spending predictable. Many businesses start with a small...
by CPI Staff | Jul 21, 2026 | App Service, Azure Security, Blog
In this blog post How Azure App Service Runs Business Applications More Securely we will explain how organisations can reduce the security risks, maintenance costs and outages associated with hosting important business applications. Many businesses rely on customer...
by CPI Staff | Jul 21, 2026 | AI Vendor Selection & Implementation, Blog, Microsoft AI Foundry, OpenAI
In this blog post When to Use GPT-5.6 Sol Terra or Luna in Microsoft Foundry Projects we will explain how to match each model to the right business workload without paying for more AI capability than you need. The common mistake is simple. A business deploys the most...
