MethodSum Consulting Services

One of the most challenging questions a company owner has to answer is "how good is our mouse trap and when is it better to utilize external resources".  Let us help you determine your secret sauce, then how to utilize leadership, talent, products, and AI technologies to complement what you already do well.

Our principals have served as CIOs, CTOs, and COOs at organizations from mid-market to Fortune 50. We've led enterprise technology decisions, owned P&Ls, navigated boards, and been accountable for outcomes — not just recommendations.

• Experienced leadership
• Risk-ranked inventory of technical debt and modernization candidates
• Prioritized roadmap with initiative sizing, dependencies, and sequencing rationale
• Business case narrative for board or executive presentation
• Recommended engagement model for execution (internal, MethodSum, or hybrid)

Most technology modernization efforts fail before they start - not because the technology is too hard, but because nobody defined the problem first, and realize many months in that they were solving the wrong thing.

We conduct a structured assessment of your technology environment and identify use cases with an estimate of business value.  The output is a working document your leadership team can use to make real decisions, secure budget, and sequence execution for the foreseeable future.

• Current state technology assessment across applications, infrastructure, and team capability
• AI use case identification & value impact
• Prioritized roadmap with initiative sizing, dependencies, and sequencing rationale
• Business case narrative for board or executive presentation
• An implementation roadmap and budget to go forward

At some point, maintaining the old system costs more — in developer time, in outage risk, in delayed releases — than rebuilding it would. But rebuilding it the wrong way, or in the wrong order, creates a new set of problems. This is where most modernization projects get stuck: the cost of staying is high, but the risk of moving feels just as high.

We assess the target system — architecture, codebase, data model, integrations, and operational dependencies — and design a modernization approach that minimizes disruption while systematically retiring the technical debt that’s costing you.

MethodSum uses AI tooling throughout the modernization process as a force multiplier that changes the economics of what modernization costs and how long it takes.  

The results are measurable. In recent engagements, AI-assisted modernization techniques have reduced the total effort required to — approximately 20% of what traditional approaches demand. The same outcome, at a fraction of the time and cost.

At some point, maintaining the old system costs more — in developer time, outage risk, and delayed releases — than rebuilding it would. But rebuild it the wrong way, or in the wrong order, and you've just traded one set of problems for another. This is where most modernization projects stall: staying is expensive, but moving feels just as risky.

We assess the target system — architecture, codebase, data model, integrations, and operational dependencies — and design a modernization approach that minimizes disruption while systematically retiring the technical debt that's costing you.

MethodSum uses AI tooling throughout the modernization process as a force multiplier — one that changes the economics of what modernization costs and how long it takes. The results are measurable: in recent engagements, AI-assisted techniques cut total effort to roughly 20% of what traditional approaches require. Same outcome, a fraction of the time and cost.