of the value McKinsey identified sits in customer operations, marketing and sales, software engineering, and R&D.
63 use cases across 16 functionsThe RISEC value case
Know exactly what action to take to drive value.
RISEC gives businesses a disciplined way to go from “something looks off” to “here is the opportunity, the likely cause, the manager who owns it, and the result we should measure.”
The question RISEC answers
What changed?Why did it change?What is it worth?What should we do next?Did it work?
That is the difference between another analytics dashboard and a system built to improve how the business performs.
What leaders see
A practical sequence of recommended actions, prioritized.
Each item connects the financial or operational impact to a recommended intervention, an accountable manager, and the evidence behind it.
OpportunityPotential valueRecommended next stepOwner
Recover overdue Account A$148K cashResolve the pricing dispute and prepare CFO outreachAR manager
Rebid a high-spend category$310K annual savingsCompare five qualified suppliers and prepare an RFQ briefProcurement lead
Protect Product X margin$185K annual gross profitReview a targeted price change and freight recovery planCommercial director
Release obsolete inventory$420K cashReview transfer, return, and liquidation options by SKUCOO
Reduce Line 3 downtime$95K avoided lossReview the maintenance and spare-parts case for the next seven daysPlant manager
Illustrative examples only. RISEC establishes the value case from the company’s own records; it does not pre-promise these outcomes.
What the research says
AI Agents to boost Enterprise Value exponentially.
The evidence is encouraging, but it also makes one point clear: results depend on the workflow, the data, the people using it, and whether the company changes the underlying process.
more customer issues resolved per hour when support staff used AI assistance in one large-scale field study.
~5,000 agents at a Fortune 500 firmfaster completion on tasks within AI’s capability frontier; human-rated quality was more than 40% higher.
758 consultants; task fit mattersaverage labour-productivity boost in the latest cited cohort of leading digital manufacturing sites.
Selected leaders, not a guaranteeHow we measure success
All recommendations and metrics are auditable and trackable by design.
Every RISEC deployment starts with a baseline and an agreed definition of success. The measures below are examples; the final scorecard is specific to your economics.
Cash recovery
Track overdue cash, DSO, dispute age, collections promises kept, and bad-debt exposure.
Margin protection
Track realized price, discount leakage, freight recovery, gross margin, and the economics of targeted accounts.
Procurement savings
Track purchase-price variance, contract compliance, supplier concentration, savings realized, and avoided cost.
Working capital
Track inventory days, stockouts, obsolete stock, expedite cost, and cash conversion.
Operations performance
Track throughput, downtime, first-pass yield, scrap, rework, energy per unit, and service level.
Revenue execution
Track quote turnaround, win rate, renewal rate, conversion, pipeline health, and marketing payback.
RISEC Methodology
Real time insights for improvement based on your industry's best practices
RISEC does not ask managers to trust a black box. It maintains the source evidence, the assumptions, the recommendation, the owner, and the actual result so teams can learn what truly works in their business.
Establish the baseline
Agree the starting performance, financial logic, and data sources before a recommendation is made.
Build the case
Quantify the opportunity, explain the drivers, and compare sensible options in plain language.
Give it an owner
Send the manager a concise brief with the next step, expected value, evidence, and deadline.
Verify the result
Compare the outcome with the original case and use the learning to improve the next recommendation.
Research notes
- McKinsey Global Institute, “The economic potential of generative AI” (2023). Reports that roughly 75% of identified potential value lies across customer operations, marketing and sales, software engineering, and R&D.
- Brynjolfsson, Li & Raymond, NBER, “Generative AI at Work”. A field study at a Fortune 500 software company found a 13.8% increase in issues resolved per hour for customer-support agents using AI assistance.
- Dell’Acqua et al., Harvard Business School / BCG, “Navigating the Jagged Technological Frontier”. Reports faster and higher-quality work on tasks within AI’s capability frontier, and weaker performance outside it.
- World Economic Forum, Global Lighthouse Network (2025). Cites results from selected leading digital-manufacturing sites; these figures should not be read as a forecast for any single company.
Studies describe particular companies, workflows, and research designs. They support the case for disciplined, measurable deployments; they do not guarantee a RISEC client outcome.
Make it specific
Let’s build the case in your numbers.
Start with one performance gap that matters. We’ll help turn it into a practical, evidence-based first RISEC module.
info@risec.orgBuild your value caseRISEC / evidence