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For complex industry goods sales: from first contact to contract, with seamless ERP integration such as SAP and reliable metrics across the entire sales cycles
For manufacturers selling through partners: from the website enquiry through partner routing to transparent performance management of your dealer network.
For businesses with recurring revenue models: bring CRM, billing and the customer lifecycle together – including renewals, upselling and churn management.
For organisations looking to move away from Salesforce: a structured migration that preserves data and process continuity while moving to a platform with a familiar user experience.
Need analysis, solution design and process modelling based on your specific requirements and business processes.
Implementation of your specific requirements and deployment of your CRM platform – in the cloud or on-premises – ready for go-live.
Process automation and the integration of business intelligence and AI to increase efficiency and customer satisfaction across your organisation.
Support, training, change management and usage reporting to drive adoption and ensure the long-term success of your CRM platform.
Need analyis, dolution design, implemenations and governance designed around your requirements for security, compliance and data protection.
Closing a deal is only the beginning of the customer relationship. In complex B2B environments, poor handoffs between sales, implementation, and customer success can delay activation and create unnecessary friction. This article explores how to structure customer onboarding in CRM, establish clear ownership, automate routine steps, and measure the time it takes for customers to achieve their first meaningful outcome.
Over the years, many companies have built up a large number of tools around the customer: CRM, marketing automation, newsletters, service desk, BI. The result is duplicate data maintenance, many interfaces and inconsistent processes. This article shows which functions belong in the central CRM, where best-of-breed still makes sense and how consolidation can be implemented economically and in phases.
CRM systems already contain valuable customer information, but finding, updating, and acting on it still takes time. Agentic AI changes this interaction: users describe the outcome, while an AI agent retrieves context, prepares actions, and executes approved steps. This article explores practical CRM use cases and a controlled path from read-only assistance to productive automation.