DataIAm — Product roadmap

Since launching DataIAm, we’ve focused on doing one thing really well: loading data into Salesforce with confidence. We’ve helped users move faster and trust their data more — with zero code.

What’s Available Today

DataIAm already offers a robust set of features that empower users to fix and load data with ease:

• Insert, update, upsert, and delete records in Salesforce (Sales Cloud, Service Cloud, and all Salesforce platform clouds)
• Extract data using our visual SOQL query builder, including support for related objects
• Fix invalid data with just a few clicks — including picklist mismatches and formatting errors
• Update records even when Record IDs are missing

What’s on the Roadmap

We’re excited to share what’s on our roadmap. We’re building the most effortless, yet powerful data loader for Salesforce. The roadmap reflects the voice-of-the-customer and our own innovation ideas. Items are not listed in order of priority.

• Conversational UI: Just chat with your data loader e.g., “Load this file over the weekend”
• Self-Healing Mappings: Automatically fix outdated or broken field mappings
• Usage Metrics: Track numbers of product usage e.g., records fixed, loaded, and enriched
• Formula Fields: Create values for fields based on formulas
• Smart V-Lookups (smarter alternative to the dreaded VLOOKUPS):
  • Simulate JOIN operation between rows in source file and records in Salesforce with support for AND and OR logic
  • Choose between exact, partial, fuzzy, or value-equivalent match types
• Data Enrichment: Enrich with data from D&B, Reuters, LinkedIn, and other third-party sources
• Data Verification: Verify street addresses, business names, web-domains, etc
• Toggle Validation Rules: Turn validation rules (in your Salesforce org) off during loads — and back on automatically
• Rollbacks: Undo a bad job
• Personally Identifiable Information (PII) Redaction: Automatically mask sensitive info e.g., email addresses
• Data Migrations: Move data between Salesforce orgs
• File Formats: Load data from Microsoft Excel and Google Sheets
• Data Sources: Load data from Google Drive, Microsoft OneDrive, AWS S3, SFTP, Snowflake, Databricks, etc
• API: Access product features via API — plug DataIAm into your workflows
• AI-Powered Mapping Correction (A2A + MCP): Fix broken or outdated mappings using AI-powered pattern recognition, user behavior, and schema changes
• Salesforce AppExchange: Deploy DataIAm natively as a Salesforce Managed Package from AppExchange
• Grow Salesforce Ecosystem: Integration with acquired Salesforce products (i.e. not on Salesforce core platform) e.g., Slack, Commerce Cloud, Industry Clouds, Tableau, and Marketing Cloud
• Grow Beyond Salesforce: HubSpot, ServiceNow, NetSuite, Workday, Adobe Marketing Cloud, and many more enterprise SaaS apps
• Accessibility: Improve accessibility with WCAG 2.0 compliance
• HIPAA, SOC 2 and FedRAMP compliance
• Idea Exchange: For customers to suggest new features, upvote existing ideas, and see what’s planned

Final Thoughts

Our goal is simple: take the pain out of fixing and loading data.

Everything on this roadmap is inspired by conversations with users like you. Whether you’re loading millions of records or fixing a single broken CSV, we want to help you move faster, with less friction, and more confidence.

Have an idea or a feature you’d like us to prioritize? We’d love to hear from you — email us at TryNewThings@dataiam.com.

⚠️Safe Harbor

This blog post outlines our current product vision and roadmap. It is intended for informational purposes only and should not be relied upon when making purchasing decisions. The development, release, and timing of any features remain at our sole discretion and are subject to change.

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About the Author

Zeb Mahmood has spent his career unlocking business value by moving, fixing, and loading data—first as an engineer, then as a product leader, and now as a cofounder.

With 2 decades in product management, 9 years at Salesforce, and hands-on experience in early-stage startups, he’s learned a simple truth: data is the lifeblood of every business. But when it’s messy or trapped in spreadsheets, it can’t drive impact.

That’s why Zeb cofounded DataIAm — a Fix & Load AI built for Salesforce Admins and data handlers who just want their data to work. No frustration. No failed imports. Just clean, reliable data that loads seamlessly into Salesforce and delivers results.

Zeb believes great products don’t win on tech alone — they win through empathy. Empathy for users, buyers, partners, and the people building the product every day.