Orquesta Labs

CRM Optimization

Turn an existing CRM org into a cleaner, faster, more trusted operating system by reducing friction, technical debt, reporting gaps, and adoption issues.

Who it’s for

These engagements fit teams in situations like these:

  • Teams already on Salesforce who feel slowed by cluttered pages, brittle automation, or reports nobody trusts.
  • Companies that inherited an org from a prior vendor or employee and need a structured health check before more spend.
  • Leaders seeing low adoption, duplicate records, or conflicting Flows and want a prioritized cleanup plan.
  • Organizations preparing for Agentforce or new integrations who need cleaner data and clearer processes first.
  • Teams that inherited a busy Salesforce org and need a health check that turns into sequenced fixes—not another slide deck with no owners.

What’s included

A clear scope of consulting work your team can understand and adopt.

  • CRM health check We review configuration, automation, security, data quality, reporting, and adoption symptoms. Findings are ranked by business impact so you know what to fix first — and what can wait — instead of a vague “org is messy” conclusion.
  • Automation and Flow cleanup Overlapping Flows, legacy Workflow Rules, Process Builder leftovers, and silent failures are inventoried and simplified. Automation becomes readable again: named clearly, documented, and owned so changes stop creating mysterious regressions.
  • User experience and page design Layouts, Lightning pages, dynamic forms, and related lists are streamlined for how reps and agents actually work. Less scrolling and fewer unused fields mean more complete data entry and less resistance to using the CRM daily.
  • Data quality and duplicate remediation We assess duplicates, incomplete required context, and inconsistent picklists that break reporting. Cleanup rules, matching approaches, and governance recommendations restore trust without pretending every historical record can be perfected overnight.
  • Reporting and dashboard redesign Pipeline, forecast, and service views are rebuilt against stages and fields leadership actually uses. Misleading filters and orphaned reports are retired so dashboards become decision tools again.
  • Security and access review Over-privileged profiles, tangled sharing, and unused permission sets are reviewed against least-privilege practice. Access becomes explainable — important for audits, AI agent boundaries, and everyday confidence that data is protected.
  • Technical debt reduction plan Custom fields, Apex, unmanaged packages, and unused apps are catalogued with keep, consolidate, or retire recommendations. You get a realistic debt plan, not a rewrite fantasy that ignores operational risk.
  • Adoption and enablement refresh Optimization includes training refreshers, quick-reference guides, and manager coaching points so process changes stick. Improvements only count if people use them consistently.

How it works

Discover, Design, Build, and Improve—scoped to this service.

  1. Discover The health check combines org inspection with stakeholder interviews. We capture where workarounds live, which reports are ignored, which automations users fear, and which metrics leadership cannot trust — then turn that into a scored findings brief.
  2. Design We propose a sequenced optimization roadmap: quick wins for UX and reporting, medium efforts for automation cleanup, and deeper work for data or security. Design includes risk notes so you can choose aggressive cleanup or careful phased change.
  3. Build Agreed fixes are implemented in sandbox, tested against real scenarios, and released with documentation. We avoid “big bang” rewrites when surgical changes restore usability faster and with less disruption.
  4. Improve After the first wave, we measure adoption signals, report usage, and automation stability. Remaining backlog items feed managed services or a follow-on phase — including Agentforce readiness once the foundation is clean enough to trust.
What you get: CRM optimizationWhat you get: CRM optimization01Health checkFindings with priorities02Automation cleanupInventory and plan03Simpler screensLayouts for key roles04Data qualityDuplicates and cleanup05Useful reportsRebuilt or retired, tied to KPIs06RoadmapTechnical debt, in order
What you get: CRM optimizationWhat you get: CRM optimization1Health checkFindings with priorities2Automation cleanupInventory and plan3Simpler screensLayouts for key roles4Data qualityDuplicates and cleanup5Useful reportsRebuilt or retired, tied to KPIs6RoadmapTechnical debt, in order

Typical deliverables

Concrete outputs you can use after the engagement.

  • CRM health check findings with prioritized recommendations
  • Automation inventory and cleanup plan for Flows and legacy tools
  • Updated page layouts and Lightning experience for key roles
  • Data quality and duplicate remediation recommendations (and agreed cleanup actions)
  • Rebuilt or retired reports and dashboards aligned to KPIs
  • Security and access review notes with remediation steps
  • Technical debt register and sequenced optimization roadmap

FAQs

Do we need a full rebuild to optimize our CRM?

Usually no. Most orgs improve dramatically by simplifying automation, layouts, data rules, and reporting without starting over. A rebuild is only recommended when the data model or customization debt makes incremental change unsafe or endlessly expensive.

What is included in a CRM health check?

A structured review of process fit, configuration quality, automation reliability, security, data hygiene, reporting trust, and adoption friction — plus a prioritized action list you can execute with us or internally.

Will optimization disrupt our sales team mid-quarter?

We sequence changes carefully, use sandboxes, and prefer low-disruption wins first. High-impact process changes are timed with stakeholders so forecasting and customer work are not blindsided.

Can optimization prepare us for AI agents?

Yes. Cleaner data, clearer stages, sensible permissions, and stable automation are the prerequisites for agents that behave reliably. Optimization often unlocks AI readiness more than buying another AI feature.

How do we know optimization worked?

Success looks like fewer workarounds, higher completion of critical fields, managers using dashboards without spreadsheet exports, and automation that fails loudly with clear ownership instead of silently. We also compare a short post-change review to the health-check baseline so you can see what improved, what still needs a follow-up sprint, and whether users stopped inventing side processes.

Consultation

Build a stronger CRM foundation

Talk through your current environment, business goals, and practical next steps.