TCO & ROI Modeling
Three-to-five year total cost of ownership analysis covering licensing, implementation, integration, training, and ongoing operations — with NPV and payback period calculations for each option.
Independent, AI-era Build vs. Buy advisory—evaluating TCO, time-to-value, AI readiness, and architecture fit to deliver a defensible, future-ready decision.
Our structured methodology eliminates guesswork from platform investment decisions — combining TCO modeling, capability benchmarking, and risk analysis into a single defensible recommendation.
Every enterprise faces the build-or-buy decision when modernizing its revenue stack. In the AI era—defined by agentic architectures and rapid platform evolution—we guide enterprise technology evaluations across Salesforce, Conga, Oracle, and custom solutions. Our framework reveals the true cost, risk, AI readiness, and long-term value of every path.
Three-to-five year total cost of ownership analysis covering licensing, implementation, integration, training, and ongoing operations — with NPV and payback period calculations for each option.
Feature-by-feature scoring of packaged solutions against your prioritized requirements — covering functional fit, integration capability, scalability, and vendor roadmap alignment.
Risk and velocity analysis comparing custom development against packaged platforms — assessing implementation timeline, long-term maintenance burden, and flexibility vs standardization trade-offs.
Structured RFI/RFP management with weighted vendor scoring matrices. We manage vendor demonstrations, reference checks, and commercial negotiations to deliver an objective final recommendation.
Our Build vs Buy engagements follow a proven six-step process refined across 200+ technology evaluations.
We work with your stakeholders to capture functional requirements, integration needs, budget parameters, and timeline expectations — the foundation of every evaluation.
We map the vendor landscape and shortlist viable options across packaged SaaS, platform extensions, and custom build approaches relevant to your use case.
Each shortlisted option is scored against your requirements across functional fit, integration capability, scalability, and vendor health — producing a weighted comparison matrix.
We build detailed three-to-five year TCO models for each option, covering all cost dimensions — from licensing and implementation through to ongoing support and upgrade cycles.
We present findings in an executive-ready format — a clear recommendation backed by data, with the trade-off analysis and risk register needed for confident decision-making.
Once the decision is made, we support the transition to implementation — including vendor contracting guidance, implementation team selection, and project kick-off planning.
Reduction in implementation cost from right platform selection
Faster vendor selection with structured RFP methodology
Faster time-to-value with right-fit platform vs custom build
More confident executive decisions with data-backed analysis
A global manufacturing enterprise needed to modernize their CPQ and Order Management systems. Forsys ran a comprehensive Build vs Buy evaluation comparing Salesforce CPQ, Conga CPQ, and a custom build — delivering a TCO model that revealed significant hidden costs in the custom path and guided a confident platform decision.
Organizations evaluate four core pillars: Process Fit (unique competitive advantage vs. standardized workflows), Total Cost of Ownership (TCO), Time-to-Value, and Risk Profile (maintenance debt and vendor lock-in). Unique, core-differentiating intellectual property typically justifies building, while standard operations favor buying.
Modern “buy” options offer built-in, agentic AI architectures and rapid platform evolution that are incredibly expensive to build and maintain independently. A modern evaluation must assess whether a custom build can realistically keep pace with a vendor’s native AI product roadmap.
A comprehensive Total Cost of Ownership (TCO) model goes beyond initial licensing or development costs. It factorially calculates implementation, integration architectures, employee training, ongoing cloud infrastructure, internal support overhead, and the long-term cost of technical and customization debt.
Forsys provides completely independent, platform-agnostic advisory with zero vendor bias. We utilize a structured, data-backed RFI/RFP management process with weighted scoring matrices based entirely on your prioritized functional requirements, scalability needs, and budget constraints.
A data-backed assessment mitigates execution risk entirely. On average, Forsys clients realize a 40% reduction in implementation costs by selecting the right-fit platform, achieve a 60% faster vendor selection cycle, and experience significant accelerated time-to-value compared to unguided paths.
Get a free Build vs Buy scoping session. We'll map your evaluation framework in 2 weeks.