Deploy secure, scalable ChatGPT solutions across your organization with expert guidance from Boaweb AI. From strategy to execution, we ensure compliant AI adoption that drives measurable results.
Without proper implementation, enterprises expose sensitive data to third-party AI models. GDPR compliance, data residency requirements, and industry regulations demand specialized architecture that most IT teams haven't deployed before.
73% of enterprise AI projects fail due to poor user adoption. Employees need training, clear use cases, and intuitive interfaces. Generic ChatGPT deployments confuse teams and create resistance to change.
Connecting ChatGPT to your ERP, CRM, documentation systems, and workflows requires custom API development, middleware architecture, and ongoing maintenance. Most implementations stall at this technical barrier.
Organizations deploy ChatGPT without identifying high-impact use cases or establishing success metrics. This leads to underwhelming results, wasted budgets, and abandoned initiatives that damage AI credibility.
We conduct stakeholder interviews across departments to identify high-ROI use cases specific to your industry. Our team analyzes your existing workflows, pain points, and automation opportunities to build a prioritized implementation roadmap.
Deliverables: Use case portfolio, ROI projections, risk assessment, technical requirements documentation
We design and deploy enterprise-grade ChatGPT infrastructure that meets GDPR, ISO 27001, and industry-specific compliance requirements. This includes data encryption, access controls, audit logging, and optional on-premise deployment.
Deliverables: Security architecture blueprint, compliance documentation, data governance policies, penetration testing reports
Our developers build custom connectors to integrate ChatGPT with your existing systems—Salesforce, SAP, Microsoft 365, Slack, and proprietary databases. We create user-friendly interfaces tailored to each department's workflow.
Deliverables: API integrations, custom UI/UX, middleware services, automated workflows, testing documentation
We develop role-specific training programs for executives, managers, and end-users. Our change management process ensures smooth adoption through pilot programs, feedback loops, and continuous optimization based on real usage data.
Deliverables: Training materials, video tutorials, prompt libraries, best practice guides, support documentation
Post-deployment, we monitor usage analytics, cost optimization, and performance metrics. Our team provides ongoing support, updates prompt engineering strategies, and identifies new use cases to expand your ChatGPT deployment ROI.
Deliverables: Analytics dashboards, monthly optimization reports, cost management strategies, expansion roadmap
Get our comprehensive 40-page guide covering security architecture, integration patterns, prompt engineering, and ROI measurement frameworks used by leading European enterprises.
Average reduction in support ticket resolution time
Saved per employee monthly through AI automation
ROI within first 12 months of deployment
A 1,200-employee manufacturing company in southern Sweden needed to improve their technical support efficiency and reduce knowledge silos across 14 facilities. Boaweb AI implemented an enterprise ChatGPT solution integrated with their SAP system and technical documentation library.
A phased implementation typically takes 12-16 weeks from discovery to full deployment. Week 1-3 covers discovery and architecture design, weeks 4-8 focus on development and integration, weeks 9-12 involve testing and training, and weeks 13-16 handle rollout and optimization. We recommend starting with a pilot department to demonstrate value before enterprise-wide deployment.
With proper implementation, yes. We deploy Azure OpenAI Service or private ChatGPT instances that ensure your data never trains public models and remains within your geographical boundaries. All communications are encrypted, access is role-based, and we implement comprehensive audit logging. For highly sensitive industries, we can deploy on-premise LLM solutions instead of cloud-based ChatGPT.
ChatGPT is OpenAI's pre-trained general-purpose model, ideal for 80% of enterprise use cases. Custom LLM solutions involve fine-tuning models on your proprietary data, which is necessary for highly specialized domains, technical jargon, or when you need complete control over model behavior. Most enterprises start with ChatGPT and expand to custom models for specific high-value applications.
We establish baseline metrics before deployment (time spent on tasks, error rates, support costs) and track improvements post-implementation. Common KPIs include: reduction in average handling time, decrease in repetitive inquiries, employee productivity gains, cost savings from automation, and user satisfaction scores. Most enterprises see measurable ROI within 4-6 months through reduced operational costs and increased efficiency.
Boaweb AI offers tiered support packages including: 24/7 technical support, monthly performance reviews, prompt optimization services, quarterly training refreshers, model updates and version management, integration maintenance, and strategic consulting for expanding use cases. We also provide analytics dashboards so your team can monitor usage, costs, and effectiveness in real-time.
Train custom language models on your proprietary data for specialized applications.
Learn More →Connect AI to your knowledge base for accurate, context-aware responses.
Learn More →Optimize AI interactions for consistent, high-quality business outputs.
Learn More →Schedule a consultation with Boaweb AI to discuss your use cases, security requirements, and implementation roadmap. We'll provide a custom proposal within 48 hours.