Architecture & roadmaps
Focused discovery, org and process assessment, target-state design, decision records, and a delivery sequence leaders and builders can defend.
Best for: competing priorities, accumulated complexity, or a high-risk next phase. Currently at capacity for independent projects
Independent Salesforce consulting · Alaska - Georgia - Florida - Remote
Salesforce systems built around how people actually work.
Maple Evans helps organizations turn complex Salesforce challenges into secure, scalable solutions that teams can understand, adopt, and sustain. Her work connects architecture, behavior, delivery quality, and practical AI.
Consulting services
Clarity before complexity.
When capacity is available, work can begin with focused advisory or extend into hands-on solution design and technical leadership. The goal is not more Salesforce—it is the right Salesforce, with a delivery path the team can own.
Cloud solution design
Secure, maintainable designs across Health, Service, Experience, and Sales Cloud—connecting data, access, automation, integration, and user experience.
Best for: complex workflows that cross teams, personas, or system boundaries.AI-enabled delivery
Practical use of AI to accelerate Salesforce analysis, development, tests, documentation, and review while preserving human accountability and engineering quality.
Best for: teams ready to move faster without lowering the bar.Technical leadership
Independent design review, delivery guardrails, acceptance criteria, team enablement, and hands-on support for work that needs a clear technical owner.
Best for: delivery rescue, fractional tech lead support, or a critical build.A differentiated method
Behavioral Architecture
A design method that aligns systems, environments, and useful feedback with human motivation and measurable outcomes.
Understand before automating
Clarify the motivation, environment, constraints, and real business outcome before a requested feature becomes a permanent design decision.
Design for real behavior
Account for how leaders, admins, agents, partners, and customers actually make decisions—not only how a process looks in a diagram.
Create useful feedback
Make the desired behavior easier, the system response clearer, and success measurable enough to improve after launch.
The approach considers how work environments shape observable behavior, then uses clear expectations, useful feedback, and measurable outcomes to support changes that can last.
It treats adoption as a design outcome: make the useful action easier, make the system response clearer, and measure whether the change works in practice.
AI-assisted Salesforce development
AI speeds the work. Engineering discipline protects the outcome.
Maple is comfortable using AI across analysis, development, testing, documentation, and review. Every output remains subject to source-grounded requirements, human review, security controls, static analysis, and meaningful tests.
01Frame
02Generate
03Review
04Analyze
05Test
06Demonstrate
Accelerate responsibly
Use AI for research synthesis, scaffolding, test ideas, refactoring, documentation, and faster feedback—not unreviewed production decisions.
Verify technically
Review bulk behavior, sharing, CRUD/FLS, limits, error paths, data exposure, and maintainability before calling work complete.
Prove the result
Pair generated work with meaningful tests, Salesforce Code Analyzer, deployment validation, and acceptance evidence.
Representative experience
Complex environments. Defensible decisions.
The examples below are intentionally anonymized. They show the kinds of problems Maple has helped solve without exposing client identity, data, or proprietary implementation detail.
01
Health Cloud · Experience Cloud · Integration
A safer foundation for complex provider operations
An account-centered redesign improved data integrity, record access, and the path to automated financial operations across regulated provider workflows.
- Security model for regulated data
- Government-cloud migration support
- Portal, search, geolocation, and ERP integration
02
Service Cloud · Agentforce · Experience Cloud
AI connected to real service operations
Case routing, milestone management, Knowledge, conversation data, and automation were aligned around a customer-facing AI service experience and an intentional human handoff.
- Skills-based routing and classification
- Customer-facing AI service experience
- Conversation summaries and case creation
03
Sales Cloud · Adoption · Enablement
Platform change translated into confident user behavior
Opportunity-centered sales experiences and role-aware enablement helped users adopt new processes even when data, conditions, and expectations were changing.
- Simpler opportunity-centered workflows
- Training delivered to 50+ new users
- Adoption strategy grounded in real work
Independent Salesforce Lab
In developmentOriginal work, built in public.
Maple is developing a personal GitHub portfolio of blank-slate Salesforce projects using synthetic data. No client code, metadata, requirements, or billed-work artifacts will be reused.
Behavioral Architecture Pattern Lab
An original Salesforce experience demonstrating progressive disclosure, useful feedback, accessible interaction, and measurable adoption patterns.
AI-Assisted Salesforce Quality Harness
A small SFDX project showing an auditable AI development workflow with Apex, LWC, tests, Code Analyzer, and documented human review gates.
Platform validation
Credentials support the work. They are not the work.
Maple holds six Salesforce certifications spanning platform, Experience Cloud, and Agentforce. Her public Salesforce profile provides current verification.
Verify credentials on Salesforce- Agentforce Specialist
- AI Associate
- Experience Cloud Consultant
- Platform Administrator
- Platform App Builder
- Agentforce Service Consultant
Project availability
Maple's project calendar is currently full.
Maple is not accepting independent engagements at this time. The project-request page will become an intake form when capacity opens. Professional connections on LinkedIn are still welcome.