Stronger Leadership. Sharper Governance.More Credible Client-Facing Expertise.

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 agreed requirements, client expectations, quality standards, and measurable outcomes.

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

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

Salesforce Pre-Sales Support & Proposal Advisory

What is committed in the proposal shapes what the team must deliver and the margin available to deliver it. FlyWheel works with partner sales, pre-sales, solution, and delivery leaders to strengthen the early foundation before scope and assumptions become contractual commitments.

• Deepen discovery and connect business needs to the proposed solution.
• Review requirements, solution tradeoffs, scope, assumptions, estimates, level of effort, and delivery approach.
• Identify proposal and delivery risks while the partner can still address them.
• Support RFP and RFQ responses, proposal decks, proofs of concept, demonstrations, client workshops, and executive positioning.

Partners gain proposals that are better scoped, more credibly positioned, and set up for successful delivery.

Senior Functional, Solution Architecture & Delivery Leadership

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

• Business processes, requirements, a defined and prioritized backlog, solution decisions, AI-augmented acceptance criteria, testing, change management, and adoption remain connected.
• 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, rejected or deferred alternatives, assumptions, safeguards, dependencies, acceptance conditions, and reassessment triggers inform the architecture and phased roadmap.
• Risks, Recommendations, Assumptions, Issues, Dependencies and Deviations (RRAIDD) are captured, tracked, mitigated, and resolved with responsible parties and clear decision paths.

End-to-end discovery, Trade-Off Evaluation, and stakeholder alignment translate approved business intent into a prioritized roadmap, sound and scalable architecture, governed execution, and measurable client value.

Salesforce Delivery Center of Excellence

Every engagement operates under a Center of Excellence framework as the discipline brought in from day one. Governance structures, release management, change management, complete and current documentation, solution and development standards, and Salesforce best practices are baseline requirements.

• Establish governance structures, PMO charters, standard operating procedures, playbooks, and working practices.
• Strengthen Agile planning, backlog hygiene, resource forecasting, role clarity, approvals, documentation, and release discipline.
• Provide templates, role-based guides, working sessions, onboarding, and coaching that help teams apply the standards consistently.
• Connect delivery health, client expectations, decisions, and measurable outcomes through current reporting.

The partner gains a more repeatable delivery model, clearer visibility, stronger team practices, and a more credible path from proposal to realized client value.

AI Risk Prevention, Mitigation & Governance Embedded in Salesforce Delivery

The Salesforce Platform Shift

Headless 360 and AIforce extend Data 360 (formerly Data Cloud) context, Customer 360 applications, Agentforce capabilities, and governed actions across Salesforce and external AI interfaces. Agentforce Vibes expands AI assistance across code, configuration, metadata, testing, and deployment; Agentforce Coworker, Slackforce, and Salesforce in Claude through Claudeforce expand where Salesforce work can be carried out.

FlyWheel’s Governance Specialty

AI risk prevention, mitigation, and governance are FlyWheel specialties. 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 partner pursuits and delivery involving Headless 360, AIforce, Agentforce, Data 360, Agentforce Vibes, external AI interfaces, AI-assisted work, and agentic enterprise architecture.

How Governance Is Applied

• Establish the client’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 with the appropriate stakeholders.
• Apply Trade-Off Evaluation and AI Readiness Classification together. Classify each use case 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.
• Record the safeguards, restrictions, prohibited uses, approvals, testing, monitoring, release conditions, and reassessment triggers required by the classification.
• Apply AI and software-delivery governance across requirements, architecture, configuration, development, testing, release, change management, adoption, and monitoring.
• Connect risks and deviations to evidence-based investigation, containment, corrective work, independent retesting, recurrence monitoring, and continuous improvement.

This gives partners specialized governance support for advising clients, shaping use cases, evaluating readiness, strengthening delivery safeguards, and leading Agentforce, Data 360, AIforce, and external-interface work with greater clarity and confidence.

Delivery Remediation & Turnaround

FlyWheel applies structured assessment, root-cause analysis, stabilization, corrective delivery, validation, and post-recovery monitoring when an engagement has started to drift or is already under pressure.

• Assess requirements, scope, backlog, delivery governance, data, architecture, integrations, testing, adoption, and stakeholder conditions.
• Establish a shared baseline, recovery priorities, responsible parties, decision paths, and measurable recovery outcomes.
• Stabilize active work while correcting the underlying delivery, functional, technical, data, or governance causes.
• Validate recovery and monitor engagement health after corrective work is completed.

Partners receive a direct picture of what is blocking delivery and a governed path for restoring momentum, client confidence, and measurable progress.