Helping investors, enterprise buyers, and SaaS leadership teams make higher-confidence software investment decisions before and after the deal.
Independent technical and commercial diligence before you sign, invest, or select a vendor.
Enterprise Software Due Diligence → Post-Deal · Mandate 02Fractional CS leadership building the playbooks, health scores, and cadence that move NRR.
Customer Success & Value Creation →Two core mandates. One independent advisor.

Reduce technology risk before major investment decisions.

Improve recurring revenue and customer lifetime value after the investment decision.
Independent advice tailored to your objectives — grouped by which mandate fits.
Independent advice tailored only to your business outcomes.
No software resale. No implementation bias. No vendor commissions.
Architecture, risk, economics and business outcomes assessed together.
Grounded in real-world enterprise software delivery and adoption.
Recommendations designed to translate into operational value.
Designed to reduce risk and increase long-term enterprise value.
Enterprise software decisions rarely fail because of technology alone. They fail because organisations underestimate complexity, commercial trade-offs, stakeholder alignment and long-term adoption.
With more than 20 years of enterprise software leadership across IBM, Adobe, Dynatrace, Software AG, Telstra and venture-backed SaaS companies, Portfolia provides independent buyer-side advice that helps organisations make higher-confidence software investment decisions.
Meet the Founder →Experience across modern enterprise software ecosystems.
Harvey · Decagon · Celonis · ServiceNow AI
Snowflake · Databricks · MongoDB · ClickHouse
IBM webMethods · Workato · MuleSoft · TIBCO
Braze · Twilio · ChurnZero · HubSpot
Akamai · AuthenticID · Cloudflare · Okta
Salesforce · Oracle · Microsoft · SAP
Representative anonymised mandates, grouped by which mandate they belong to.
Independent evaluation and stakeholder alignment across multiple ERP vendors to reduce implementation risk and accelerate decision-making.
Read Case Study →Evaluated leading AI customer support platforms balancing capability, governance, scalability and commercial impact.
Read Case Study →Replaced legacy integration infrastructure with a modern, scalable platform to improve reliability and operational efficiency.
Read Case Study →Installed segmentation, QBR cadence, and executive renewal discipline across a post-sale organisation facing adoption risk.
Read Case Study →Designed a customer success operating model to improve adoption ownership, expansion visibility, and leadership reporting.
Read Case Study →Anonymised feedback, grouped by mandate so it's relevant to what brought you here.
Share your objectives, risks and timeline, and we'll tell you honestly whether an independent advisory engagement is the right fit.