About This Product
Tired of losing track of client conversations and model deployment requests across scattered notes? This Notion template gives ML consultants a dedicated CRM and pipeline tracker—so every experiment, deliverable, and client touchpoint stays organised from sprint to production.
Built specifically for machine learning and AI ops professionals, this template replaces messy spreadsheets and forgotten emails with a unified hub for client intake, model lifecycle tracking, and deployment milestones. No more context-switching between Jira, Google Docs, and your calendar—everything lives inside Notion, tailored for the way ML teams work.
## What's Included
- Client intake database with automated tagging for ML project types (NLP, CV, forecasting, etc.)
- Pipeline status board with drag-and-drop stages: 'Proposal', 'Data Prep', 'Training', 'Deployment', 'Monitoring'
- Linked model versions and experiment IDs so you never lose the connection between client request and trained artifact
- Automated reminders and date rollups for client check-ins, milestone deliveries, and retraining schedules
- Custom views for individual team members, managers, and clients—complete with permission-friendly sharing
Key Features
- Tired of losing track of client conversations and model deployment requests across scattered notes? This Notion template gives ML consultants a dedicated CRM and pipeline tracker—so every experiment, deliverable, and client touchpoint stays organised from sprint to production
- Built specifically for machine learning and AI ops professionals, this template replaces messy spreadsheets and forgotten emails with a unified hub for client intake, model lifecycle tracking, and deployment milestones
- No more context-switching between Jira, Google Docs, and your calendar—everything lives inside Notion, tailored for the way ML teams work
- ## What's Included
- Client intake database with automated tagging for ML project types (NLP, CV, forecasting, etc
- )
- Pipeline status board with drag-and-drop stages: 'Proposal', 'Data Prep', 'Training', 'Deployment', 'Monitoring'
- Linked model versions and experiment IDs so you never lose the connection between client request and trained artifact
- Automated reminders and date rollups for client check-ins, milestone deliveries, and retraining schedules
- Custom views for individual team members, managers, and clients—complete with permission-friendly sharing
## Who Is This For
- Freelance ML engineers who juggle multiple client engagements and need a single source of truth for project timelines and deliverables
- AI ops teams in startups or agencies that want to standardise client onboarding and model handoff processes
- Data science consultants who must track everything from initial discovery calls to production deployment and post-launch monitoring
- Small ML shops looking to replace expensive CRM tools with a lightweight, highly customisable Notion-based solution
## How It Works
Purchase and download the template, then duplicate it into your Notion workspace (requires a free Notion account)
- Use the provided onboarding guide to link your existing client records, adjust pipeline stages to match your workflow, and start logging new engagements within minutes
machine
learning
ops
client
crm
pipeline
tracker
machine learning