Four engagement types. One promise: independent counsel.

Technical debt, abandoned migrations, and unresolved compliance gaps routinely hide in data rooms — invisible to financial diligence and catastrophically expensive post-close.

Companies that begin without a validated readiness assessment routinely trigger the costliest failure mode: a false start requiring mid-program re-platforming and 40%+ budget overruns.

Most organizations in the $750M–$9B revenue band overpay by 15–25% annually. Indirect Access enforcement actions have resulted in penalties exceeding $50M.

SIs deliberately understate cost to win the contract, then recover through change orders once competitive leverage is exhausted. This is structural, not accidental.

Boards routinely receive status reports produced by the team being governed. When the SI's interest is to mask problems, transparency depends entirely on their willingness.

GRC and SoD design is almost universally deferred. For publicly listed companies, the regulatory exposure ranges from a material weakness finding to sanction.

When go-live is driven by a deadline set 18 months earlier rather than verified readiness, the organization inherits the defect backlog the SI could not resolve.

Removes the Sunk Cost trap — where organizations continue funding a broken architecture because stopping appears more expensive than continuing.

Companies sign 12-month TSAs that extend to 36 and pay $2M–$8M/year to support an asset they no longer own — because SAP separation complexity was never independently designed.

Maximized Exit Multiples: A demonstrably clean SAP footprint eliminates TSA costs that erode transaction proceeds by 15–30%.

Prevents the TSA Trap — where the parent remains legally tethered to a divested asset for years, creating ongoing cost and strategic distraction.

Every acquisition landing on a separate SAP instance adds $2M–$5M per year in redundant cost and delays synergy realization by 18–36 months.

Accelerated Synergies: Drives consolidated reporting and process efficiency required to meet investor growth targets.

Mitigates fragmented data silos that prevent a consolidated view of customer, inventory, and cash: the most common reason M&A synergy targets are missed.

The most consequential SAP decisions are made by executives who receive information exclusively from the team with the most to lose from transparency.

Strategic Alignment: Lets leadership treat SAP as a value driver rather than a cost line. Improves decision quality at the moments when program trajectory is determined.

Mitigates the risk of C-Suite structural dependence on SI-filtered information at every critical decision point.

Fit to Standard means your organization operates identically to every competitor on the same SAP template — a competitive liability for the capabilities that determine your margin.

Competitive Differentiation: Keeps SAP configuration aligned to the unique business models that drive market share.

Prevents the Vanilla Trap — where SAP defaults strip away the operational differentiation that underpins your market position.

Most organizations have a list of projects and deadlines imposed by external pressure, not a technology roadmap, which creates Islands of Automation.

Predictable CapEx: Provides the Board a clear view of future technology funding requirements — converting IT investment from an unpredictable surprise into a plannable commitment.

Mitigates Islands of Automation — short-term fixes creating long-term integration bottlenecks that cost three times as much to unwind.

In fewer than 20% of post-go-live programs reviewed is the analytics business case delivered. The data layer is always the first item cut when budgets compress.

Information Advantage: Enables real-time visibility into EBITDA drivers and supply chain performance.

Removes the Garbage-In/Garbage-Out risk — where a compromised data architecture produces Board-level decisions built on inaccurate financial data.

In most programs, no mechanism exists to answer how much of the financial return promised by the business case has actually been delivered.

EBITDA Optimization: Every dollar of SAP customization traces to a measurable financial gain.

Mitigates Gold-Plating — accumulation of technical features that consume program budget without producing a corresponding P&L improvement.

Attempting to innovate everything simultaneously ensures nothing is transformed effectively. Capital disperses, timelines extend, and the program delivers incremental improvement everywhere.

Resource Optimization: Focuses limited capital on Differentiator capabilities driving margin and market share.

Eliminates the Boil the Ocean failure mode — where transformation programs attempt to redesign non-critical functions, spreading execution capacity too thin.

Every major SAP SI is offering AI capabilities layered on S/4HANA. AI is only as reliable as the data it consumes, and most S/4HANA implementations are not data-ready.

Future-Proofing: Positions the organization to adopt AI capabilities faster and more reliably than competitors with a validated data foundation.

Prevents AI on Dirty Data — where a compromised foundation produces outputs that are wrong with the same confidence as outputs that are right.

RISE with SAP is not a cloud strategy. Organizations signing without independent TCO modeling discover the 5-year cost is 40–60% higher than the approved business case.

OpEx Efficiency: Optimizes cloud investment while ensuring the system can scale — a financially defensible Cloud Right strategy.

Mitigates Cloud Bill Shock and data residency violations, which have created material financial and regulatory consequences for organizations that signed RISE without independent review.