Every Salesforce Engagement Needs Trusted Leadership at the Helm.Trusted Stewardship Starts Here.

High Touch & White Glove Customer Success

Stakeholders receive timely communication, regular touchpoints, and clear visibility into progress, delivery health, emerging risks, decisions, and next steps. Each phase remains aligned with validated business requirements, customer expectations, quality standards, and measurable outcomes.

• High Touch: Proactive, frequent, transparent, senior-led partnership with dedicated availability, ongoing health monitoring, stakeholder alignment, and priority access.
• White Glove: Bespoke, executive-facing partnership for the highest-stakes accounts. The engagement is tailored to the customer, the account, and the delivery conditions.

Established from day one and sustained through every phase of the engagement.

Salesforce Pre-Sales Support & Proposal Advisory

Strong and on-point pre-sales work shapes delivery quality before the engagement begins. FlyWheel helps account, pre-sales, Professional Services, and partner teams ground the proposal in the customer’s business needs and an approach the delivery team can execute.

• Customer discovery, stakeholder engagement and alignment, and business-needs validation strengthen the opportunity foundation.
• Well-defined requirements, proposed solutions, scope, assumptions, trade-offs, level of effort, delivery approach, and implementation risks are validated against customer needs, Salesforce technical roadmap, AI readiness, feasibility, and expected outcomes.
• Strong and high-quality RFP, RFQ, proposal, SOW, proof-of-concept, demonstration, workshop, and executive-positioning support bring functional and delivery depth into the pursuit.

Business intent becomes a clear, credible proposal and an executable path into delivery.

Senior Functional, Solution Architecture & Delivery Leadership

FlyWheel brings end-to-end discovery, senior functional and solution architecture, delivery direction, program leadership, roadmap prioritization, and stakeholder engagement into one connected approach.

• End-to-end business processes are captured and translated into requirements, well-defined user stories, comprehensive AI-augmented acceptance criteria, and a prioritized backlog—keeping solution decisions, change management, and adoption connected throughout delivery.
• Trade-Off Evaluation compares Business Impact, Pain-Point Severity, Level of Effort, Scalability / Maintainability, Delivery Feasibility, and Salesforce Roadmap Alignment before a solution direction is selected.
• The approved direction, deferred solution options, assumptions, safeguards, dependencies, acceptance conditions, and reassessment triggers inform the architecture and phased roadmap.
• Scope, priorities, backlog, cadence, readiness, risk, and stakeholder communication remain aligned and visible.

End-to-end discovery, Trade-Off Evaluation, delivery leadership, and stakeholder alignment move business intent into a prioritized roadmap, sound and scalable architecture, governed execution, and measurable customer value.

Salesforce Delivery Center of Excellence (CoE)

Every engagement operates under a Center of Excellence framework. AI & SDLC Governance structures, release management, change management, complete and current documentation, solution and development standards, and Salesforce best practices are baseline requirements.

The value delivered

• A Salesforce environment that is stable, documented, reliable, scalable, and ready for future expansion.
• Clearer delivery expectations, with fewer risks and avoidable surprises after close.
• Stronger customer engagement, confidence, trust, and a more credible path from product decision to realized return on investment.

Center of Excellence is our standard practice and operating model — embedded from day one.

AI Risk Prevention, Mitigation & Governance Embedded in Salesforce Delivery

FlyWheel specializes in AI risk prevention, mitigation, and governance. FlyWheel brings the SDLC and AI governance disciplines developed through the governance frameworks, architecture, applied research, and continued product development behind FlyWheel Angel OS into Salesforce consulting involving Headless 360, AIforce, Agentforce, Data 360, Agentforce Vibes, external AI interfaces, AI-assisted delivery, and agentic enterprise architecture.

• The customer’s pain points, end-to-end business processes, regulatory and compliance requirements, internal policies, business rules, data, permissions, security boundaries, Human Decision Authority, and measurable outcomes are discovered and documented with business, compliance, security, data, and technology stakeholders.
• This customer-governance context is translated into requirements, user stories, AI-augmented acceptance criteria, functional and agent architecture, permitted actions, validation requirements, escalation paths, and release decisions.
• Trade-Off Evaluation and AI Readiness Classification are performed together. Each use case is classified as Safe-to-Build-Now, Pilot-Only, Architecture-Watchlist / Not-Enterprise-Ready, or Deferred after evaluating business value, architecture, data, security, Human review, operating support, and failure consequences.
• The classification records required safeguards, restrictions, prohibited uses, approvals, testing, monitoring, release conditions, and reassessment triggers.
• When deviations occur, evidence-based investigation, impact assessment, containment, corrective work, independent retesting, and recurrence monitoring support mitigation and strengthen future delivery.

Readiness determines what can advance, under which conditions, and when renewed evaluation is required.

Delivery Remediation & Turnaround

When requirements, scope, backlog quality, delivery momentum, or stakeholder confidence begin to drift, FlyWheel establishes the recovery picture and leads the work from assessment through sustained improvement.

• Delivery assessment, org-health review, and evidence-based root-cause analysis establish the recovery priorities before corrective scope is committed.
• Scope realignment, backlog reconstruction, roadmap reprioritization, and Risks, Researched Recommendations, Assumptions, Issues, Dependencies and Deviations (RRAIDD) capture, tracking, mitigation, escalation, and resolution restore delivery direction.
• Functional correction, QA, UAT, regression testing, governed release, adoption support, KPI measurement, and recurrence monitoring carry recovery through validated results.

Correction, validation, adoption, and monitoring remain connected throughout the recovery lifecycle.