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AI Product & Service Launches – 8/31/2026
Ai Global Solutions adds financial services practice; Practifi launches Sentir CRM; and Security Risk Advisors releases ScalrCALR AI.
Ai Global Solutions Adds Financial Services Practice
Ai Global Solutions, a provider of artificial-intelligence-driven business solutions, launched its financial services practice. Drawing on AiGS’ more than 20 years of experience in financial services, the dedicated practice will help banks, mortgage lenders, consumer finance companies and private equity firms modernize operations and integrate artificial intelligence into workflows.
The practice will assist clients with process discovery, use-case prioritization, solution design, implementation, systems integration and governance.
Practifi Launches Sentir CRM
Practifi launched Practifi Sentir, an artificial-intelligence-powered customer relationship management tool for wealth management. Sentir is designed to automatically brief users on the state of client accounts, prepare work, recommend next steps and draw in relevant context from outside the CRM.
The existing Practifi system will now be known as Practifi Naya.
Naya users can continue using their CRM with no change to their workflow. Firms transitioning to Sentir can enable it as the underlying data.
Security Risk Advisors Releases Scalr AI
Security Risk Advisors launched Scalr AI, a free platform available through the Azure Marketplace.
Scalr AI is an agentive workbench that automates security work and is available to information security teams to deploy in their own Azure private tenant. Teams can build additional workflows within the tools in the platform, including threat hunting, vulnerability management and phishing analysis. Security teams configure multi-agent workflows, agents, tools and MCP servers working together, instead of building each workflow by hand.
SCALR AI deploys inside a customer’s own Azure tenant, so security data and AI workflows stay in the customer’s environment rather than a shared SaaS instance. The platform also supports the LLMs a security team already uses, so teams are not locked to a single model.
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