Complete Platform Audit

Jataka -
Complete Platform Audit

Product Architecture & Capability Audit Internal / Client-Facing April 2026 - v1.0

The autonomous Salesforce governance engine. From code review to compliance, Jataka guards your org at every stage of the development lifecycle.

Table of Contents

Section 01

Executive Summary

Jataka is an autonomous Salesforce governance platform that acts as an intelligent layer across the entire Salesforce development lifecycle. It connects to your GitHub repositories, Salesforce orgs, Jira boards, and developer tools - analyzing every code change, metadata modification, and configuration update before it reaches production.

The Problem

Salesforce orgs grow uncontrollably. Every team adds fields, writes triggers, builds flows, and creates automation - without visibility into what already exists or what might break.

ProblemJataka SolutionImpact
SOQL queries inside loops cause production outagesLimit Firewall blocks them at PR level before mergeZero governor limit incidents
Developers create duplicate fieldsDuplicate Field Prevention cross-references entire org30-40% reduction in metadata bloat
UI tests break when Salesforce updates DOMVision AI self-heals broken selectors automatically90% reduction in test maintenance
No one knows blast radius of changing a fieldIDE integration shows every dependency in real-time80% fewer unintended side effects
M&A requires manual metadata comparisonAutomated org merge mapping with overlap reportDue diligence: months to days
Compliance audits require manual access tracingAutomated security access reports across all profilesAudit reports in minutes

How It Integrates

flowchart LR
    subgraph CONNECT["Jataka Connects To"]
        G["GitHub\nRepositories"]
        S["Salesforce\nOrgs"]
        J["Jira\nBoards"]
        SL["Slack\nWorkspace"]
        IDE["IDE\nCursor / VS Code"]
    end

    subgraph ENGINE["Jataka Engine"]
        E["Metadata Graph\n+ AI Analysis\n+ Governance Rules"]
    end

    subgraph ACTION["Automated Actions"]
        A1["PR Review Comments"]
        A2["PR Approve / Block"]
        A3["Auto-Fix Commits"]
        A4["Slack Responses"]
        A5["IDE Previews"]
        A6["Audit Reports"]
    end

    G --> E
    S --> E
    J --> E
    SL --> E
    IDE --> E
    E --> A1
    E --> A2
    E --> A3
    E --> A4
    E --> A5
    E --> A6
Section 02

Platform Architecture - How Jataka Works

2.1 End-to-End Lifecycle Flow

Jataka operates across the entire development lifecycle - from the moment a developer opens their IDE to production monitoring after deployment.

flowchart TD
    A["DEVELOPER WRITES CODE\nApex, LWC, Flows, Metadata\nin IDE"]
    B["IDE ANALYSIS\nBlast radius preview\nField dependency map\nLimit estimation"]
    C["PR CREATED ON GITHUB\nCode pushed, PR opened"]
    D["Jataka PR REVIEW\nFull automated analysis\nacross all 5 modules"]
    E{"VIOLATIONS\nFOUND?"}
    F["PR AUTO-APPROVED\nAll checks pass"]
    G["PR BLOCKED\nLine-level violation report\nwith remediation steps"]
    H["AUTO-FIX GENERATED\nAI creates fix commit"]
    I["DEPLOYED TO PRODUCTION"]
    J["SYNTHETIC MONITORING\n24/7 production health checks"]

    A --> B --> C --> D --> E
    E -->|No| F --> I
    E -->|"Yes, auto-fixable"| H --> D
    E -->|"Yes, needs human"| G
    G -->|Developer fixes| C
    I --> J
    J -->|Issue detected| G

2.2 What Happens During PR Review - Detailed Breakdown

When a PR is created, Jataka performs a comprehensive analysis. Here is exactly what gets analyzed, in what order, and what outputs are produced.

flowchart TD
    subgraph INPUTS["STEP 1 - GATHER CONTEXT"]
        I1["PR Diff\nChanged Apex, Flows,\nmetadata XML"]
        I2["Full Org Metadata\nEvery object, field,\nflow, class, profile"]
        I3["Linked Jira Ticket\nAcceptance criteria"]
        I4["Business Rules\nOrg-specific policies"]
    end

    subgraph ANALYSIS["STEP 2 - ANALYZE"]
        A1["LIMIT FIREWALL\nSOQL loops, CPU,\nData skew, API limits"]
        A2["ARCHITECTURE\nDuplicates, orphans,\npatterns, best practices"]
        A3["QA ENGINE\nSelf-healing tests,\nvideo, verification"]
        A4["INTEGRATION\nAPI contracts,\nERP validation"]
    end

    subgraph OUTPUTS["STEP 3 - ACT"]
        O1["APPROVE"]
        O2["BLOCK\nLine-level report"]
        O3["AUTO-FIX\nAI commits"]
        O4["AUDIT LOG\nCompliance record"]
    end

    I1 --> A1
    I1 --> A2
    I2 --> A1
    I2 --> A2
    I3 --> A3
    I4 --> A2
    I2 --> A3
    I2 --> A4
    A1 --> O1
    A1 --> O2
    A2 --> O2
    A2 --> O3
    A3 --> O4
    A4 --> O2
Module 01

The Limit Firewall

Prevents Salesforce governor limit violations before they reach production. Governor limits are hard caps enforced per transaction - exceeding them crashes the entire transaction. This is the #1 cause of production outages in Salesforce.

How It Works

flowchart TD
    PR["PR Submitted
Developer pushes Apex/Flow changes"]
    PARSE["STEP 1: AST PARSING
Parse Apex into Abstract Syntax Tree
Map every method, loop, DML, SOQL"]
    LOOP["STEP 2: LOOP DETECTION
Find SOQL/DML inside loops
Including indirect method calls"]
    CPU["STEP 3: CPU PROFILING
Estimate CPU time for complex paths
Sync: 10,000ms / Async: 60,000ms"]
    SKEW["STEP 4: DATA SKEW
Analyze DML against org data
Flag row-locking patterns"]
    API["STEP 5: API LIMITS
Count callouts per transaction
Limit: 100 sync / 200 async"]
    REPORT["VIOLATION REPORT
File + line number
Severity + fix suggestion"]
    DECIDE{"CRITICAL
VIOLATIONS?"}
    BLOCK["PR BLOCKED"]
    APPROVE["PR APPROVED"]
    CTX{{"JATAKA CONTEXT GRAPH
Live Production Data Map
e.g., 80,000 Contacts
+ Runtime physics"}}

    PR --> PARSE --> LOOP --> CPU --> SKEW --> API --> REPORT --> DECIDE
    DECIDE -->|Yes| BLOCK
    DECIDE -->|No| APPROVE
    CTX -. "Production volumes
drive the simulation" .-> CPU
    CTX -. "Org data distribution
powers skew detection" .-> SKEW

    style CTX fill:#2563EB,stroke:#2563EB,stroke-width:2px,color:#ffffff

Capabilities

3.3.1 - Prevent SOQL & DML Loops

What it detects: Any SOQL query or DML operation that executes inside a loop. Also detects indirect calls - method A calls method B inside a loop, and method B has SOQL.

Why it matters: Salesforce enforces 100 SOQL queries and 150 DML statements per transaction. A loop over 200 records with one query per iteration crashes at iteration 101.

PR review - Jataka
Critical - SOQL Query Inside Loop

AccountService.cls:47

A SOQL query [SELECT Id, Name FROM Contact WHERE AccountId = :acc.Id] is executed inside a for loop iterating over accounts. If there are more than 100 records, this throws System.LimitException.

Fix: Move the query before the loop and use a Map to access results.

3.3.2 - Catch CPU Timeouts

What it detects:Code paths where estimated CPU execution time approaches Salesforce's limit (10s sync, 60s async).

How:Analyzes algorithmic complexity - loop nesting depth, collection operations, string manipulation. Flags paths estimated to consume >70% of CPU limit.

3.3.3 - Detect Data Skew

What it detects: DML patterns that cause row-locking errors - parent records with 10K+ children, lookup skew on shared objects, ownership concentration.

How:Cross-references DML operations against the org's actual data distribution.

3.3.4 - Enforce API Limits

What it detects: Outbound HTTP callouts exceeding 100/transaction. Also checks for missing async patterns in batch callout scenarios.

CheckSF LimitDetection MethodSeverity
SOQL in loops100 queries/txnAST + indirect call tracingCritical
DML in loops150 statements/txnAST + indirect call tracingCritical
CPU time10,000ms / 60,000msComplexity estimationCritical
Data skewRow lock contentionOrg data distribution analysisWarning
API callouts100 sync / 200 asyncCallout path tracingCritical

Why This Matters

Governor limit violations are the most common cause of Salesforce production outages. Traditional code reviews catch ~30%. Jataka provides 100% automated coverage across every PR - eliminating 95%+ governor limit incidents.
Module 02

Tech Debt & Architecture Governance

Prevents new technical debt from entering the org and autonomously remediates existing debt. Enforces architecture standards, blocks redundant metadata, discovers dead code, and auto-refactors patterns.

How It Works

flowchart TD
    CHANGE["CHANGE DETECTED
New PR with metadata changes"]
    CTX{{"JATAKA CONTEXT GRAPH
Entire org history
+ 360-degree
dependency map"}}
    DUP["DUPLICATE SCAN
Compare new fields vs all
existing org fields"]
    ORPHAN["ORPHAN DISCOVERY
Dependency graph analysis
Find zero-reference metadata"]
    ARCH["ARCHITECTURE CHECK\nEnforce Flows over Triggers\nHandler patterns, naming"]
    LOGIC["BUSINESS LOGIC\nVerify org-specific rules"]
    BEST["BEST PRACTICES\nCRUD/FLS, sharing,\ncoverage, patterns"]
    BULK["BULKIFICATION\nDetect single-record code\nAuto-refactor to bulk-safe"]
    CLEAN["CLEANUP GENERATOR\nGenerate destructiveChanges.xml"]
    SCORE["DEBT SCORE"]
    DECIDE{"ISSUES?"}
    AUTOFIX["AUTO-FIX PR"]
    BLOCK["BLOCKED"]
    PASS["APPROVED"]

    CHANGE --> CTX
    CTX --> DUP
    CTX --> ORPHAN
    CHANGE --> ARCH
    CHANGE --> LOGIC
    CHANGE --> BEST
    CHANGE --> BULK
    DUP --> SCORE
    ORPHAN --> CLEAN --> SCORE
    ARCH --> SCORE
    LOGIC --> SCORE
    BEST --> SCORE
    BULK --> AUTOFIX
    SCORE --> DECIDE
    DECIDE -->|Auto-fixable| AUTOFIX
    DECIDE -->|Policy violation| BLOCK
    DECIDE -->|Clean| PASS

Capabilities

4.3.1 - Duplicate Field Prevention

When a developer creates a new custom field, Jataka searches the entire org metadatafor existing fields that serve the same purpose. Checks name similarity, data type, picklist values, and usage patterns. If >85% match, PR blocked.

PR review - Jataka
Critical - Potential Duplicate Field

Field: Account.Customer_Status__c

This appears to duplicate Account.Account_Status__c:

- Name similarity: 87%   - Both Picklist type   - 4/5 values identical

Existing field: Created 2023-04-15, used by 3 Flows, 2 Apex classes, 5 reports

4.3.2 - Orphan Node Discovery

Builds a complete dependency graph of every metadata component. Identifies components with zero inbound references - dead fields, unused classes, abandoned Flows. Assigns confidence scores (80-100%).

4.3.3 - Architecture Enforcement

RuleWhat It BlocksWhy
No simple triggersInline trigger logicMust use handler pattern or Flow
No hardcoded IDsId profileId = '00e...'Breaks across environments
No empty test assertsTests without assertionsFalse confidence - tests nothing
Separation of concernsLogic in trigger bodyUse service/handler classes
Error handlingBare try/catch blocksSwallowed exceptions hide bugs

4.3.4 - Autonomous Cleanup

Auto-generates destructiveChanges.xml deployment packages for confirmed orphan metadata. Ready to deploy - just review and ship.

4.3.5 - Apex Bulkification

Detects single-record patterns in Apex and autonomously refactors into bulk-safe logic using Maps, Sets, and Lists. Pushes refactored code as a fix commit, verified by the .

4.3.6 - Business Logic Enforcement

Every PR checked against org-specific business rules: naming conventions, validation standards, approval process policies, state machine transitions - all machine-enforced.

4.3.7 - Best Practice Maintenance

Every push verified for: with sharing usage, CRUD/FLS checks, test coverage thresholds, async patterns, collection efficiency, SOQL pagination.

Why This Matters

A typical enterprise org has 30-40% redundant metadata. Jataka prevents new debt, remediates existing debt, and saves 10+ hours per developer per month through automated refactoring.
Module 03

Autonomous QA

Self-healing tests, automated video evidence, intelligent data seeding, and mathematical verification of business logic correctness.

How It Works

flowchart TD
    TRIGGER["TEST TRIGGERED
PR merge, schedule, or on-demand"]
    CTX{{"JATAKA CONTEXT GRAPH
Jira Acceptance Criteria
+ Business intent
+ Org schema"}}
    SEED["SMART DATA SEEDING
Generate minimal test records
respecting all field constraints"]
    EXEC["UI TEST EXECUTION
Headless browser runs E2E tests
against Salesforce UI"]
    HEAL{"SELECTOR
BROKEN?"}
    VISION["VISION AI HEALING
Screenshot page, find element
visually, update selector"]
    RECORD["VIDEO RECORDING
Record every step for
audit evidence"]
    VERIFY["LOGIC VERIFICATION
Mathematically prove
refactored code equivalence"]
    REPORT["QA REPORT
Pass/fail, videos,
coverage, proof status"]

    TRIGGER --> CTX
    CTX --> SEED --> EXEC --> HEAL
    HEAL -->|Yes| VISION --> EXEC
    HEAL -->|No| RECORD --> VERIFY --> REPORT
    CTX -. "Business intent
powers visual healing" .-> VISION

    style CTX fill:#2563EB,stroke:#2563EB,stroke-width:2px,color:#ffffff

Capabilities

5.3.1 - Self-Healing UI Tests

The problem: Salesforce releases 3 major updates/year. Each can change CSS class names and DOM structure. Every UI test breaks - even though the app works fine. QA teams spend 2-4 weeks per release fixing selectors.

The solution: When a selector fails, Jataka takes a screenshot and uses Vision AI to locate the element visually (by button text, position, appearance). The selector is auto-updated and the test continues.

Test Maintenance

-90%

Reduction in test maintenance effort

SF Release Impact

0 days

Downtime from selector breakage

5.3.2 - Video Logs

Every test execution auto-recorded as video. Shows every click, keystroke, page navigation, and data verification. Serves as irrefutable audit evidence for SOX, HIPAA, SOC2 compliance.

5.3.3 - Smart Data Seeding

Generates the minimal viable dataset per test - respecting required fields, lookup relationships, validation rules, and picklist values. Records auto-cleaned after test. Zero sandbox bloat.

Example: To test Opportunity closure, generates 1 Account + 1 Contact + 1 Opportunity + 1 LineItem. Total: 4 records. Created in 2 seconds. Auto-cleaned.

5.3.4 - Verification Protocol

When Jataka refactors code, the protocol mathematically proves the refactored version produces identical output for all possible inputs. Zero tolerance - even one divergence rejects the refactoring.

Why This Matters

Tests fix themselves. Data seeds itself. Code correctness is mathematically guaranteed. Video evidence satisfies auditors without manual documentation.
Module 04

Developer Experience

Embeds intelligence directly into the IDE, Slack, and Jira - no context-switching required.

How It Works

flowchart TD
    subgraph IDE_FLOW["IDE INTEGRATION"]
        DEV["Developer edits\na field in Cursor"]
        BLAST["Jataka shows blast radius:\n3 Flows, 2 Apex classes,\n5 Reports, 1 Validation Rule"]
        WARN["Changing this field\nbreaks Flow 'Lead Assignment'"]
        DEV --> BLAST --> WARN
    end

    subgraph SLACK_FLOW["SLACK BOT"]
        Q["'What happens when\nan Opp stage changes\nto Closed Won?'"]
        ANS["1. Trigger OppTrigger fires\n2. Flow sends notification\n3. Revenue Schedule created\n4. Account field updated\n5. Outbound msg to ERP"]
        Q --> ANS
    end

    subgraph JIRA_FLOW["JIRA ALIGNMENT"]
        JIRA["Jira says: Add Status__c\nand create update Flow"]
        CHECK["Status__c field found\nFlow found\nFlow doesn't fire on Case close\nMissing test coverage"]
        JIRA --> CHECK
    end

Capabilities

6.3.1 - IDE Integration: Blast Radius Preview

Inside Cursor/VSCode, see the complete impact of any change before saving. Modify a field? Instantly see every Flow, Apex class, Report, Validation Rule, Page Layout, and integration that references it.

PR review - Jataka
Warning - Blast Radius - Account.Customer_Rating__c

Renaming this field will break:

- Flow "Lead Scoring" - reads field at Decision Node 3

- Apex "AccountService" - queries field at line 47

- Report "Top Accounts" - filters on this field

- Page Layout "Account Layout" - displays this field

Total impact: 4 components will break

6.3.2 - Slack Bot

Ask plain-English questions in Slack. Jataka responds with graph-backed answers:

QuestionResponse
"Which Flows reference Account.Status__c?"Lists all 5 Flows with names, versions, and which nodes reference the field
"What happens when a Lead is converted?"Full execution trace: triggers to flows to process builders to field updates
"Who can see Contact.SSN__c?"Lists profiles and permission sets with field-level read access
"What would break if I delete OpportunityLineItem?"Full dependency analysis across all metadata types

6.3.3 - Jira Alignment

Reads Jira acceptance criteria and verifies the PR actually implements what was specified. Catches requirement gaps at code review time - not UAT.

Why This Matters

Eliminates context-switching. Developers get org intelligence where they already work - IDE, Slack, Jira. New team members become productive in days instead of weeks.
Module 05

Enterprise Use Cases

Purpose-built capabilities for M&A, compliance, integration governance, production monitoring, and legacy modernization.

How It Works

flowchart TD
    subgraph MA["M&A ORG MERGE"]
        MA1A{{"ORG A
CONTEXT GRAPH"}} --> MA3
        MA1B{{"ORG B
CONTEXT GRAPH"}} --> MA3
        MA3["MASTER JATAKA
OVERLAP GRAPH
mathematical comparison"] --> MA4["Generate Merge Report
with migration plan"]
    end

    subgraph SEC["SECURITY AUDIT"]
        S1["Select sensitive field"] --> S2["Trace access:\nProfiles, PermSets,\nSharing Rules, OWD"] --> S3["Generate compliance report\nUser-Field access matrix"]
    end

    subgraph API["API CONTRACT"]
        APCTX{{"JATAKA CONTEXT GRAPH
Auto-discovered
inbound + outbound
dependencies"}} --> AP2["PR modifies contracted field"] --> AP3["Auto-block PR
Notify integration owner
(SAP / MuleSoft / Workday)"]
    end

    subgraph MON["SYNTHETIC MONITORING"]
        MO1["Define critical paths\nLead, Opp, Case flows"] --> MO2["Run against PROD\nevery 15 minutes"] --> MO3["Alert on failure\nSlack + Jira incident"]
    end

    subgraph MIG["LEGACY MIGRATION"]
        MI1["Scan for Workflow Rules"] --> MI2["Parse conditions + actions"] --> MI3["Generate equivalent Flow"] --> MI4["Create PR with
Flow + tests + proof"]
    end

    style APCTX fill:#2563EB,stroke:#2563EB,stroke-width:2px,color:#ffffff
    style MA1A fill:#2563EB,stroke:#2563EB,stroke-width:2px,color:#ffffff
    style MA1B fill:#2563EB,stroke:#2563EB,stroke-width:2px,color:#ffffff
    style MA3 fill:#1a1a1a,stroke:#2563EB,stroke-width:2px,color:#ffffff

Capabilities

7.3.1 - M&A Org Merge Mapping

Connects to both Salesforce orgs, extracts full metadata, and produces a complete overlap report: identical components, conflicts, unique items, and estimated merge effort.

ComponentOrg AOrg BStatusAction
Account.Revenue__cCurrencyCurrencyIdenticalKeep one
Account.Status__cPicklist (5)Picklist (8)ConflictMerge values
LeadScoring FlowActiveN/AUnique to AMigrate
AccountTriggerHandler patternInlineConflictUse Org A

Impact: M&A due-diligence reduced from months to days.

7.3.2 - Security Audits

Traces every access path from any user to any field: Profiles to Permission Sets to Permission Set Groups to Sharing Rules to OWD. Generates compliance-ready reports for SOX, HIPAA, GDPR, SOC2.

7.3.3 - API Contract Guardian

Maintains a registry of fields consumed by external systems. Any PR that modifies or deletes a contracted field is auto-blocked with the integration owner notified.

PR review - Jataka
Critical - API Contract Violation

Account.Revenue__c is consumed by SAP ERP Integration.

Contact: integration-team@company.com

This field cannot be modified without integration owner approval.

7.3.4 - Synthetic Monitoring

Runs lightweight, non-destructive test scenarios against Production every 15 minutes. Verifies critical business processes work. Alerts via Slack + auto-creates Jira incident on failure.

7.3.5 - Legacy Migration (Workflow Rules to Flows)

Autonomously translates retiring Workflow Rules into modern Flow equivalents - preserving all conditions, field updates, email alerts, and outbound messages. Behavioral equivalence verified by the Verification Protocol.

Why This Matters

M&A due-diligence: months to days. Security audits: weeks to minutes. Integration breakages: eliminated. Legacy migration: automated. No consultants required.
Reference

Complete Capability Matrix

#ModuleCapabilityWhat It DoesPrimary Benefit
1Limit FirewallSOQL/DML Loop PreventionBlocks database queries inside loops at PR levelEliminates #1 limit breach cause
2Limit FirewallCPU Timeout DetectionProfiles Apex/Flows for CPU time estimationPrevents timeout errors
3Limit FirewallData Skew DetectionFlags row-locking patterns before deploymentPrevents lock errors at scale
4Limit FirewallAPI Limit EnforcementValidates outbound callout countsPrevents integration failures
5Tech DebtDuplicate Field PreventionBlocks redundant custom field creation30-40% less metadata bloat
6Tech DebtOrphan Node DiscoveryFinds dead metadata safe for deletionClean, performant org
7Tech DebtArchitecture EnforcementAuto-reject non-compliant patternsConsistent architecture
8Tech DebtAutonomous CleanupAuto-generate deletion XML packagesZero manual cleanup
9Tech DebtApex BulkificationAuto-refactor to bulk-safe codeScalable, limit-safe code
10Tech DebtBusiness Logic EnforcementCheck PRs against business rulesDomain policy compliance
11Tech DebtBest Practice MaintenanceEvery push checked for best practicesConsistent code quality
12QASelf-Healing UI TestsVision AI fixes broken selectors90% less test maintenance
13QAVideo LogsAuto-record every test executionAudit-ready evidence
14QASmart Data SeedingGenerate minimal test records50% fewer sandbox refreshes
15QAVerification ProtocolMathematically prove code equivalenceZero regressions
16Dev XPIDE Blast RadiusShow all dependencies in real-time80% fewer side effects
17Dev XPSlack BotNatural language org queriesHours saved weekly
18Dev XPJira AlignmentVerify PR meets acceptance criteriaRequirement traceability
19EnterpriseM&A Org Merge MappingCompare orgs, map overlapMonths to days
20EnterpriseSecurity AuditsTrace user access across profilesSOX/HIPAA/GDPR compliant
21EnterpriseAPI Contract GuardianBlock integration-breaking changesZero breaking deploys
22EnterpriseSynthetic Monitoring24/7 production health testsDetect outages in minutes
23EnterpriseLegacy MigrationAuto-convert Workflows to FlowsAutomated modernization
Business Case

Business Impact & ROI

Time Savings

ActivityWithout JatakaWith JatakaSavings
Code review (limit checks)2-4 hours/PRAutomated (0 min)~3 hrs/PR
Finding field dependencies30-60 min/fieldInstant (IDE preview)~45 min/field
Fixing broken UI tests post-release2-4 weeks/yearSelf-healed (0 days)~3 weeks/yr
Creating test data1-2 hrs/suiteAuto-generated (sec)~1.5 hrs/suite
Security audit preparation2-4 weeks/auditMinutes (auto report)~3 weeks/audit
M&A org comparison2-6 monthsDays (auto mapping)Months
Workflow to Flow migration2-4 hrs/ruleAutomated (minutes)~3 hrs/rule
Org architecture questions15-60 min (manual)Seconds (Slack bot)~30 min/question

Risk Reduction

RiskWithout JatakaWith Jataka
Governor limit outages5-15 per yearNear zero
Integration breakages2-5 per quarterZero
Refactoring regressionsUnknown (silent)Zero (verified)
Compliance audit failuresPossibleEliminated
Undetected production outagesHours<15 minutes

Key Metrics

Production Incidents

-95%

Governor limit related incidents

PR Review Speed

Inf.

Unlimited automated reviews per day

Metadata Bloat

-40%

Reduction in redundant metadata

Test Maintenance

-90%

Self-healing test maintenance

M&A Due Diligence

10x

Faster org merge analysis

Onboarding Time

-70%

New developer ramp-up time

Jataka - The Autonomous Salesforce Governance Platform

Confidential - For Internal & Client Presentation Use  |  (c) 2026 Jataka

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