Most CRM failures aren't caused by the wrong software. They're caused by the wrong configuration, a setup that never quite matched how the sales team actually works, and a slow erosion of trust in the system until nobody uses it the way they should.
That's exactly the situation one IT services company found itself in. They had already invested in Microsoft Dynamics 365 Sales — a capable platform with strong functionality out of the box — but the implementation hadn't delivered. Instead of streamlining sales activity, the CRM was creating friction. Adoption was low, data was unreliable, and leadership was weighing whether to scrap it entirely and start over.
TrellisPoint took a different path. Rather than recommending a full reimplementation, we assessed the gaps and built a structured recovery plan using a crawl, walk, run approach. Here's what that looked like — and what other organizations can take from it.
A CRM going live is not the same thing as a CRM working. The technical deployment can succeed while the adoption completely stalls — and when that happens, the system becomes a liability instead of an asset.
For this IT services company, the problems were familiar ones. The initial implementation had been configured around a generic template rather than the specific ways their sales team operated. As a result:
When a CRM is underperforming, the instinct is often to look for an exit — a new platform, a full reimplementation, a clean slate. That impulse is understandable, but it usually trades one set of problems for another, at significant cost and disruption.
TrellisPoint's recommendation was different: fix what's broken, in a structured sequence, before concluding that the underlying platform is the problem. The crawl, walk, run framework organizes that recovery into three phases, each building on the last.
The first priority was restoring basic trust in the system. That means making visible improvements quickly — changes that the sales team would notice and benefit from immediately, without requiring a long project cycle.
Quick wins in a struggling CRM implementation typically target three areas: usability (removing friction from common tasks), data accuracy (fixing records that are incorrect or incomplete), and reporting (surfacing views that are actually useful). These changes don't require a redesign — they require focused attention on what's causing the most pain.
With basic stability established, the next phase is more substantive: mapping how the sales team actually works and reconfiguring the CRM to match it. This is where the original implementation usually went wrong — workflows were set up based on default configurations rather than observed reality.
Process alignment involves working directly with the sales team to understand their pipeline stages, handoff points, and data entry habits, then rebuilding the CRM structure around those inputs. The goal is a system that feels like it was built for the team, not one they have to adapt to.
The final phase shifts from recovery to continuous improvement. Once the CRM is stable and adopted, there's an opportunity to layer in more sophisticated capabilities — automation, deeper reporting, integrations with other tools — that increase the system's value over time.
The run phase is also where the CRM becomes a foundation rather than just a tool. Enhancements in this phase are informed by actual usage patterns and business needs, which produces better outcomes than trying to build everything at the start.
For this IT services company, the engagement followed the crawl, walk, run structure with work concentrated in the areas causing the most friction.
TrellisPoint started by auditing the existing configuration to identify specific points where the system was creating friction. This included reviewing form layouts, required fields, pipeline stage definitions, and the views sales managers were relying on for reporting.
Changes at this stage were deliberately scoped to high-impact, low-risk improvements: simplifying forms, correcting data that had become inconsistent, and rebuilding reports to surface information that was actually useful to the team. These changes were visible to users quickly, which started to shift perception of the system.
Once the immediate pain points were addressed, TrellisPoint worked with the sales team to document how deals actually moved through their pipeline. The existing stage definitions didn't reflect the real process, which meant the CRM wasn't capturing meaningful progression data.
Redesigned workflows gave the team a pipeline structure that matched their language and process, with automation handling routine steps that had previously required manual entry. The result was a system that required less effort to maintain and produced more accurate data as a byproduct of normal use.
TrellisPoint also delivered a structured roadmap for ongoing enhancements, prioritized by business value and implementation complexity. Rather than trying to build everything at once, the roadmap gave the organization a path to continued improvement that could be executed in sequence — adding capability as the team's confidence in the system grew.
The outcomes of a CRM optimization engagement are often harder to quantify than a net-new implementation, because the baseline is a system that was already in place — just underperforming. But the business impact was clear across several dimensions.
Adoption is the leading indicator for every other CRM metric. When the system stopped creating friction and started reflecting how the team actually worked, usage increased. Reps who had been working around the CRM came back to it, and the data quality improved as a result.
With cleaner data and reconfigured views, sales managers had access to pipeline visibility they hadn't had before. Reports reflected actual deal progression rather than inconsistent entries, which improved both forecasting accuracy and management confidence in the system.
The optimization approach delivered the functional improvements the organization needed at a fraction of what a full reimplementation or platform switch would have cost. Existing data, configurations, and integrations were preserved and improved rather than replaced.
Perhaps the most durable outcome: the CRM is now a platform the organization can build on. The structured roadmap gives them a clear path to adding capability over time, informed by actual usage rather than speculation about future needs.
Not every struggling CRM can be saved with optimization. But most of them can — and the decision deserves more analysis than a frustrated sales team or a vendor pitch for something new.
Optimization is usually the right path when the platform itself is sound but the configuration is wrong. Dynamics 365 Sales is a capable system with substantial flexibility. If the core issue is that it wasn't set up to match how your team works, that's a configuration problem — not a platform problem.
A full reimplementation or platform switch makes more sense when the platform genuinely can't support the workflows you need, when data migration would be prohibitively complex, or when there are integration requirements the current system can't meet. Those situations exist, but they're less common than vendors would have you believe.
A few questions that help clarify the decision:
If the answers point toward a configuration problem rather than a capability gap, optimization is worth trying first.
The most common reason is that the system was configured around default settings rather than the actual workflows and terminology the sales team uses. When the CRM doesn't reflect how deals really move, reps adapt by working around it — and adoption drops from there. Insufficient training and limited post-launch support also contribute.
We start with an assessment to identify the specific gaps causing the most friction, then prioritize improvements using a crawl, walk, run approach. Early work focuses on quick wins that restore usability and trust. Later phases address workflow alignment and ongoing optimization. The goal is incremental value delivered quickly, without the disruption of starting over.
The primary advantages are cost and continuity. Optimization preserves existing data, integrations, and user familiarity with the platform — and typically delivers improvements much faster than a reimplementation or platform migration. It also reduces disruption to the business during the improvement process.
The most effective quick wins tend to be in three areas: simplifying forms and removing unnecessary required fields, fixing data quality issues that make the system feel unreliable, and rebuilding reports and dashboards to show information the team actually uses. These changes are visible to users quickly and start shifting perception of the system.
We deliver a prioritized roadmap for ongoing enhancements alongside the initial optimization work. The roadmap sequences improvements by business value and implementation complexity, giving the organization a structured path forward rather than a list of one-time fixes.
Yes. The underlying problem — a CRM that wasn't configured to match how the sales team actually works — is common across industries. Any organization running a poorly adopted Dynamics 365 Sales environment can benefit from an optimization approach before concluding that a reimplementation is necessary.
If your sales team isn't using the CRM the way it was intended, the problem is probably fixable without starting over. The right assessment — focused on configuration gaps rather than platform limitations — can give you a clear picture of what needs to change and what it would take to get there.
TrellisPoint specializes in Dynamics 365 Sales implementations, optimizations, and recoveries for mid-sized organizations. Whether you're dealing with low adoption, unreliable data, or a system that just doesn't fit how your team works, we can help you build a path forward.
Schedule a conversation with the TrellisPoint team to talk through your current Dynamics 365 setup and whether an optimization approach could get you where you need to go.
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