Representative case studies across enterprise software due diligence, platform selection, integration modernisation, customer success, and post-sale value creation.
Large enterprise organisation facing delayed decision-making across multiple ERP vendors.
Stakeholders were aligned on the need for change but divided on platform fit, implementation risk, and commercial trade-offs.
Built evaluation criteria, structured vendor comparison, clarified decision rights, and reframed the recommendation around operating risk and value delivery.
Reduced decision ambiguity, improved executive confidence, and accelerated movement toward a defensible platform decision.
“The process transformed subjective vendor debate into an evidence-based executive decision.”
ERP decisions fail when evaluation criteria are unclear and adoption ownership is treated as an implementation detail.
Leadership team evaluating AI-powered customer support platforms for automation, scalability, and governance.
The client needed to balance AI capability with risk, security, human-in-the-loop controls, implementation effort, and commercial impact.
Assessed product maturity, workflow fit, integration dependencies, analytics, guardrails, pricing structure, and adoption readiness.
Improved vendor shortlist, clearer business case, and stronger executive alignment around adoption and governance requirements.
“The diligence clarified what mattered beyond the demo.”
AI vendor selection requires equal focus on capability, workflow ownership, and measurable value creation.
Mid-market financial services organisation replacing legacy integration infrastructure.
The client needed improved reliability, scalability, security, governance, and operational efficiency without disrupting core business processes.
Compared integration vendors, reviewed architecture trade-offs, surfaced implementation risks, and defined governance requirements for a modern platform.
Clearer platform recommendation, reduced operational risk, and improved alignment between technical and commercial stakeholders.
“The recommendation connected architecture choices to business impact.”
Integration modernisation succeeds when governance and operating model are designed alongside technology selection.
SaaS leadership team facing inconsistent adoption signals and limited renewal predictability.
Renewal exposure was visible late, QBRs lacked commercial discipline, and CSM activity was not consistently tied to measurable value.
Installed segmentation, risk review cadence, executive renewal governance, account-level value plans, and clearer post-sale metrics.
Improved renewal visibility, stronger executive accountability, and more disciplined customer operating rhythm.
“The work made renewal risk visible early enough to act.”
Customer Success creates value when it owns outcomes, not just relationships.
Growth-stage software company needing a more scalable customer success operating model.
The team had strong customer intent but inconsistent coverage, unclear segmentation, and limited executive reporting on adoption-led growth.
Designed customer segmentation, lifecycle stages, CSM coverage model, adoption milestones, health signals, and leadership reporting cadence.
Improved focus on high-value accounts, clearer role expectations, stronger operating cadence, and better visibility into expansion opportunities.
“The model gave the team a practical way to scale without losing customer focus.”
CS scale requires fewer generic playbooks and more precise operating choices by segment.
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