Implementation Process
Our proven methodology to take your business from zero to AI powered - leveraging our custom AI platform, assistants and automations. We work closely with you to ensure successful AI implementation and adoption across your business.
AI Opportunities Discovery
Workshop to map business processes and identify AI use cases
We work with your team to map out your business processes, identify potential AI use cases, and prioritize them based on business value and implementation effort. This helps ensure we focus on the most impactful opportunities first.
Data Evaluation & Preparation
Identify data sources and document integration requirements
We evaluate your data sources, document formats, and business applications to determine integration requirements, leveraging our 600+ pre-built integrations. This includes assessing data quality, identifying necessary transformations, and developing custom connectors.
Knowledge Base Setup
Build Knowledge Base and Data Integrations
We set up secure connections to your data sources and deploying the data ingestion pipeline. We implement fine-grained access controls and review the data for quality and accuracy.
Assistant Deployment
Build, test and deploy Custom AI Assistants
We create and deploy Custom AI assistants based on your specific use cases. Each assistant is integrated with your knowledge base and data integrations, then thoroughly tested to ensure accuracy and relevance.
Automation Development
Build, test and deploy Automations based on AI use cases
We implement the selected custom automations, integrating your custom AI assistants and applications to automate your business processes. Each automation is thoroughly tested to ensure reliability and optimal performance.
Production Deployment
Once testing complete, deploy into Production environment
After successful testing and validation, we deploy the solutions to your production environment. This includes setting up users and group permissions and application monitoring.
Continuous Improvement
Incorporate human and automated feedback loops to enhance platform
We implement feedback loops to continuously improve the system's performance. This includes analyzing user feedback, monitoring accuracy metrics, and making regular updates to integrate the latest models and enhance the AI assistants and automations.
Unlock the power of AI - Right now.
Start automating your business today.
[1] Internal customer survey, Q2 2024
[2] Platform analytics report, Q3 2024
[3] Customer case study analysis, 2024