AI & Automation Services

Problem: Your team needs AI capabilities, but existing tools don't connect to your data or workflows.

Solution: Custom integrations that connect OpenAI, Anthropic, or other AI models directly to your existing tools, databases, and processes.

Deliverables:

• API connections to your CRM, database, or SaaS tools
• Custom prompts optimized for your use cases
• Data validation and error handling
• Complete documentation and training

Typical Timeline: 1-3 weeks

Success Metrics: Reduced processing time, improved data quality, increased team productivity

Problem: Your team spends hours on repetitive tasks that could be automated.

Solution: Smart automations using Zapier, N8N, or custom APIs that trigger actions based on events, eliminating manual steps.

Deliverables:

• Automated workflows with intelligent triggers
• Data syncing between multiple platforms
• Error handling and monitoring
• Team training and handover documentation

Typical Timeline: 1-2 weeks

Success Metrics: Hours saved per week, reduced errors, faster processing times

Problem: Your team needs 24/7 support capabilities or help with repetitive inquiries and tasks.

Solution: Smart AI assistants that understand your business context and can handle customer support, lead qualification, content operations, and data queries.

Deliverables:

• Custom-trained AI assistant with your business knowledge
• Integration with your existing communication channels
• Escalation protocols for complex queries
• Analytics dashboard and performance monitoring

Typical Timeline: 2-4 weeks

Success Metrics: Response time reduction, increased lead qualification, improved customer satisfaction

Problem: You have an idea for an AI-powered tool but need to validate it before investing in full development.

Solution: Clickable demos and lightweight web applications that prove your concept works and gather user feedback.

Deliverables:

• Working prototype with core functionality
• User interface design and user experience flow
• Basic analytics and user feedback collection
• Technical roadmap for full development

Typical Timeline: 1-3 weeks

Success Metrics: User engagement, feature validation, clear development path

Problem: You need to collect, clean, and process data from multiple sources but want to maintain quality control.

Solution: Automated data pipelines that intake, transform, and store data with human-in-the-loop validation where needed.

Deliverables:

• Data ingestion from multiple sources
• Automated cleaning and transformation
• Quality checks and validation rules
• Dashboard for monitoring and manual review

Typical Timeline: 2-4 weeks

Success Metrics: Data accuracy, processing speed, reduced manual work