Proof, structured honestly.
These anonymized case studies follow one evidence format: client context, the operational issue, why it mattered commercially, scope, approach, operating changes made, and outcome categories observed. Where exact figures aren't approved for publication, we don't invent them.
Yes — structured, honest case studies covering context, intervention, operating changes, and the outcome categories observed across lending, public sector, consumer loyalty, and B2B SaaS. Named references are available on request; the sample deliverables in the Proof Center are ungated if you want to see the work product first.
Rebuilding a bespoke CRM as the system of revenue truth
A specialty lending business running high-velocity deal flow through a CRM that had drifted far from how deals actually moved — with underwriting, sales, and servicing each keeping their own records.
Core deal workflows lived in workarounds. Pipeline reporting required manual assembly, stage data was unreliable, and leadership had no defensible view of conversion or capacity.
Deal velocity is the business model. Every hour of manual reconciliation and every mis-staged deal directly constrained funded volume and made forecasting a guess.
Full lifecycle redesign and bespoke CRM rebuild: deal stages with entry/exit criteria, data model rationalization, workflow automation for handoffs, and a governed reporting layer.
- Diagnostic across teams to document the real deal flow versus the system's version
- Lifecycle architecture designed with underwriting and sales jointly, not sequentially
- Phased rebuild with migration validation gates and parallel-run verification
- Adoption support and governance handoff after stabilization
- One deal record, one lifecycle, shared across sales, underwriting, and servicing
- Automated handoffs replacing email-and-spreadsheet coordination
- Executive pipeline reporting produced by the system, not assembled around it
Bringing implementation governance to a stalled modernization program
A government digitization initiative with multiple vendors, an ambitious scope, and a timeline that had already slipped twice before Corelynx was engaged.
Requirements had been written as tool configurations, integration dependencies were surfacing during build, and no neutral party could adjudicate between vendor positions.
Public commitments had been made on delivery dates. Each slip eroded stakeholder trust and each rework cycle consumed budget that couldn't be replenished.
Owner-side implementation advisory: requirements re-anchoring, integration architecture review, decision checkpoint structure, and rollout redesign.
- Re-documented requirements in business terms with stakeholder sign-off
- Mapped integration dependencies and resequenced the build around them
- Installed go/no-go decision gates with defined evidence requirements
- Redesigned rollout as a phased transition with adoption measurement
- A single requirements source of truth all vendors built against
- Dependency-sequenced delivery replacing optimistic parallel workstreams
- Decision checkpoints that caught two major issues while correction was cheap
Unifying loyalty, CRM, and payment data into one customer view
A loyalty-driven business whose customer data was split across a rewards platform, a CRM, and payment systems — three versions of every customer, none complete.
Segmentation, campaign logic, and service workflows all operated on partial views. Reporting on program performance required manual joins nobody fully trusted.
The loyalty program was the growth engine, but its economics couldn't be measured credibly — making every investment decision about the program a matter of opinion.
Customer data unification architecture, metrics framework for program performance, integrated workflow design, and a governed reporting layer.
- Mapped every customer data source, owner, and quality profile
- Designed the unification architecture and canonical customer model
- Built the program metrics framework with documented definitions
- Implemented integrated workflows for segmentation and service
- One customer record spanning loyalty, CRM, and payment behavior
- Program economics reported from governed definitions
- Campaign and service workflows operating on complete customer context
Installing a revenue operating model ahead of a funding milestone
A growth-stage software company preparing for a raise, with board-level pressure to show forecast discipline the current revenue stack couldn't support.
Pipeline definitions varied by team, forecast categories were improvised, and diligence-grade reporting required weeks of manual preparation.
Forecast credibility was about to be examined by outside investors. Weak revenue infrastructure would directly affect valuation conversations.
Revenue operations diagnostic, KPI and definition framework, forecast methodology, governance design, and executive reporting rebuild.
- Diagnostic across sales, marketing, and CS to baseline the real state
- Standardized definitions and forecast categories with executive sign-off
- Rebuilt pipeline and forecast reporting on governed logic
- Installed weekly and monthly revenue cadences with clear ownership
- One pipeline language across every team and tool
- A forecast methodology leadership could defend line by line
- Diligence-ready reporting produced on demand, not assembled over weeks
Ready to talk specifics?
The first conversation is about context and fit — nothing more.
Book a Strategy Session →Explore the practice areas.
See how Corelynx structures engagements across each solution.
Browse Solutions →