Salesforce development shouldn't feel like this
Every Salesforce team hits the same walls. The org gets complex, the backlog grows, and every change feels riskier than the last. Mayflai was built to fix that.
Requirements get lost in translation
Business stakeholders describe needs in business terms. Developers interpret them in technical terms. The gap causes rework, missed edge cases, and features that don't solve the original problem. A vague Jira ticket becomes weeks of back-and-forth before anyone writes a line of config.
Nobody knows what's actually in the org
Years of configuration by different people at different times. Custom objects, flows, validation rules, apex triggers — scattered across the org with no clear map. Before building anything new, someone has to manually audit what exists. They rarely do, leading to duplicate automation and brittle dependencies.
Metadata tracking is manual and fragile
Changes made directly in the org aren't captured in version control. Teams rely on change sets, manual documentation, or tribal knowledge. When something breaks in production, forensics take hours. Nobody can confidently answer 'what changed and when?'
Deployments are high-stakes guesswork
Without automated validation, every deployment is a roll of the dice. Merge conflicts surface at deploy time. Apex tests fail unexpectedly. Code coverage drops below thresholds. Teams pad timelines with manual testing and rollback plans instead of shipping with confidence.
Development velocity doesn't scale
As the org grows, every change takes longer. More objects to consider, more automation to avoid breaking, more stakeholders to align. The backlog grows while throughput flatlines. One key person holds all the knowledge — if they leave, everything stops.
How Mayflai fixes each one
AI-guided requirement grooming
Instead of a blank ticket, Mayflai starts a conversation. Mayflai asks clarifying questions informed by your org's existing configuration. It pushes toward simplification, surfaces edge cases, and produces a structured requirement document with acceptance criteria — not a vague description. It helps you think broader and catch the assumptions a developer would have made later — without you ever knowing.
Continuous org intelligence
Mayflai gives you a living overview of your Salesforce org. Every change gets a natural language summary — what changed, who changed it, and whether it came from a direct edit or a deployment. No more digging through metadata to piece together what happened. You always know what's in your org.
Automatic change tracking
Every metadata change flows into version control automatically. No manual change sets. No documentation that goes stale. When something breaks, you trace it back in seconds, not hours.
Validated, safe deployments
Before anything touches your org, Mayflai runs full validation — merge conflict detection, component compilation, Apex test execution, and code coverage checks. You see exactly what will change and what could break. Deploy with one click.
Weeks of work in hours
Mayflai builds metadata autonomously — Apex, Flows, Lightning components, objects, fields, permissions. It writes tests, checks coverage, and works from the plan you approved. Your team focuses on decisions, not configuration.
The difference
| Before | With Mayflai |
|---|---|
| Requirements live in Jira tickets, emails, meeting notes, Teams chat | Requirements refined through structured AI conversation |
| 'What's in the org?' requires manual auditing | Continuous sync gives a live, searchable org inventory |
| Metadata changes invisible until something breaks | Every change tracked and summarized |
| Ticket ping-pong between tester and developer due to missing permissions or page layouts | Automated validation catches and fixes issues before deployment |
| One change = hours of context gathering | AI has full org context from the start |
| Backlog grows faster than throughput | AI-assisted implementation multiplies team capacity |