In the spring of 2024, the management team at a Chelyabinsk hydraulic systems rebuilder hit a decision that no spreadsheet could settle. The firm—call it GidroRemServis—had spent two years reverse-engineering seal kits and valve blocks for imported excavators and drilling rigs. Orders were climbing. A state-owned mining conglomerate had signaled interest in a multi-year service contract. To meet that demand, GidroRemServis needed to invest in a CNC grinding center and a clean-room assembly line, roughly 180 million rubles. Under a baseline forecast of steady orders and continued technology access through parallel import channels, the payback period looked acceptable. The baseline forecast was a fiction, and the management team knew it.
Instead of tweaking the discount rate or adding a generic risk premium, the firm’s strategy lead proposed a different exercise. Over two weeks, the team wrote out three detailed, internally consistent narratives about the world in which the investment would operate. One narrative assumed a tightening of export controls on precision components. Another assumed parallel import routes stabilized but domestic demand collapsed. A third assumed a gradual normalization of technology access paired with aggressive state procurement. Each narrative had to answer the same set of operational questions: Where would spare parts come from in month 18? What would happen to the customer’s payment terms if a specific bank lost correspondent relationships? Who would calibrate the new CNC equipment if the original manufacturer’s remote support was cut off?
The exercise did not produce a single “correct” answer. It produced something more valuable: a map of failure modes that the baseline forecast had hidden. The investment was approved, but with a staged capital commitment and a parallel investment in a manual honing capability that the “tightening controls” narrative had identified as a critical fallback. This is not a story about heroic improvisation. It is a story about a discipline spreading quietly through Russian industrial firms: the use of structured scenario narratives to stress-test investment decisions when traditional forecasting models break down.
Why Spreadsheets Stop Working
Standard capital budgeting rests on assumptions that hold in stable environments: future cash flows can be estimated from historical data, probability distributions can be assigned to key variables, and the range of possible outcomes is bounded by past experience. In the Russian industrial sector since 2022, none of these conditions hold. The sanctions regime is not a single shock but a sequence of regulatory actions by multiple jurisdictions, each with its own timing, scope, and enforcement intensity. Technology access is determined not by price and specification but by the willingness of intermediaries in third countries to accept re-export risk. Demand is shaped by state procurement cycles, defense conversion dynamics, and the unpredictable exit of foreign competitors.
In this environment, a discounted cash flow model with a Monte Carlo simulation layered on top can produce a false sense of precision. The problem is not the math. The problem is that the model’s structure assumes a world where the variables are independent and the distribution of outcomes is stationary. When a single regulatory change can simultaneously cut off a supplier, freeze a payment channel, and invalidate a certification, the covariance structure of the model is meaningless. Firms that rely on such models are not making risk-adjusted decisions. They are making decisions blind to the risks that matter most.
The Scenario Narrative as a Strategic Tool
The alternative that firms like GidroRemServis are adopting draws on a long tradition of scenario planning, but with a specific operational twist. Rather than generating broad macroeconomic scenarios—“high inflation,” “low growth”—the teams construct narratives anchored to the specific technical and logistical constraints of their production process. A useful scenario narrative answers questions like: If the only source for a specific bearing shifts from a German OEM to a Chinese distributor with variable quality, what changes in our incoming inspection protocol? If our customer’s letter of credit is delayed because a Turkish bank tightens compliance, how many weeks of working capital do we need to bridge?
The power of the narrative form is that it forces coherence. A scenario that assumes continued access to European machine tools but also assumes that European regulators will not tighten re-export enforcement is internally inconsistent; the team must either reconcile the contradiction or discard the scenario. This discipline is similar to the approach described in the Google SRE book’s chapters on embracing risk and postmortem culture, where engineering teams construct detailed incident narratives to stress-test system reliability. In both cases, the goal is not to predict the future but to surface the hidden dependencies and single points of failure that only become visible when you are forced to tell a complete story about how a system will behave under stress.
The Chelyabinsk team’s “tightening controls” narrative, for example, revealed that the new CNC grinding center depended on a specific abrasive supplier in Italy that routed shipments through a Dubai-based trading company. The narrative forced the team to trace the full chain: if the Italian firm’s bank stopped processing payments from the Dubai intermediary, the abrasive supply would halt within eight weeks. The baseline forecast had treated “abrasive supply” as a single line item with a 5% cost contingency. The narrative exposed it as a single-point failure with a lead time for alternatives of at least four months. The investment was restructured to include a six-month abrasive inventory buffer and a parallel qualification process for a Chinese supplier.
How the Practice Works in Practice
Based on interviews with strategy leads at five mid-sized machine-building and component-manufacturing firms in the Urals and Volga regions, a common pattern has emerged. The process typically involves three phases, though the terminology varies.
Phase 1: Constraint Mapping. Before writing any narratives, the team identifies the operational constraints that are outside the firm’s control and that have changed materially in the past 24 months. These are not generic “sanctions risk” or “currency volatility.” They are specific: the list of CNC controllers for which firmware updates are no longer available, the banks that still process payments to a particular Turkish supplier, the certification bodies whose stamps are accepted by a specific customer’s procurement department. The output is a structured inventory of dependencies, not a risk register.
Phase 2: Narrative Construction. The team develops three to four scenarios, each built around a distinct logic for how the constraint environment will evolve. The scenarios are not labeled “optimistic,” “pessimistic,” and “base case.” They are labeled by the driving mechanism: “Export Control Escalation,” “Parallel Import Stabilization,” “State Demand Substitution.” Each narrative is written as a chronological account of the next 18 to 36 months, with specific events, trigger points, and second-order effects. The narratives must be internally consistent: a scenario that assumes Chinese banks will continue processing payments for dual-use components cannot also assume that U.S. secondary sanctions will intensify without explaining why Chinese financial institutions would accept that risk.
Phase 3: Stress-Testing. The investment proposal is run through each narrative. For each scenario, the team asks: Does the investment still generate positive cash flow? What is the first month in which a critical input becomes unavailable? What is the cumulative working capital requirement if payment delays extend to 90 days? The output is not a single go/no-go decision but a set of conditional commitments: “We proceed with the full investment if Scenario A materializes by Q3; we proceed with a scaled-down version if Scenario B materializes; we delay and invest in manual alternatives if Scenario C materializes.”
One Urals-based manufacturer of industrial valves described the process as “writing the postmortem before the failure.” The firm had lost access to German casting suppliers in 2022 and was evaluating an investment in domestic foundry capacity. The scenario narratives revealed that the domestic foundry would depend on Chinese ferrous alloys that were themselves subject to export licensing uncertainty. The investment was redesigned to include a smaller electric arc furnace that could use a wider range of scrap inputs, a flexibility that the baseline model had not considered because it assumed a stable alloy supply.
Why This Is Not Traditional Scenario Planning
Veterans of corporate strategy departments will recognize the lineage: Shell’s scenario planning practice, Pierre Wack’s “gentle art of reperceiving,” the 2×2 matrix. But the Russian industrial variant differs in three important respects.
First, the time horizon is compressed. Traditional scenario planning often looks out 10 to 20 years. The firms described here are working with an 18- to 36-month window, because the rate of regulatory change makes longer horizons unworkable. A scenario that assumes a stable sanctions regime in 2028 is not useful when the next EU package is expected within six months.
Second, the narratives are operational, not strategic. They do not ask “What will the Russian economy look like in 2030?” They ask “How will we source chromium carbide wear plates in Q4 if the current Turkish intermediary loses its banking relationship?” This granularity is what makes the exercise actionable. A broad scenario about “deglobalization” does not tell a procurement manager which supplier to qualify next.
Third, the process is designed to produce contingent decisions, not consensus forecasts. The goal is not to agree on the most likely scenario but to identify the signposts that will tell the firm which scenario is materializing and to pre-commit to the actions that each signpost triggers. This is closer to the logic of a NIST Cybersecurity Framework profile, where an organization defines its current and target states and then identifies the specific actions that will move it from one to the other, than it is to traditional strategic planning. In both cases, the framework provides a structure for making decisions under uncertainty without pretending to eliminate the uncertainty.
The Documentation Discipline
A recurring theme in the interviews was the importance of writing the narratives down. This sounds trivial, but it is not. In many Russian industrial firms, strategic discussions happen orally, in meetings where the most senior person’s intuition carries the day. The scenario narrative process forces the intuition to be made explicit, tested for consistency, and subjected to challenge by people who understand the operational details.
One firm described a practice of maintaining a “scenario log” that records each narrative, the assumptions it rests on, the signposts that would confirm or disconfirm it, and the decisions that were made as a result. When a signpost event occurs—a new EU sanctions package, a change in a Chinese bank’s compliance policy—the log is reviewed, and the team asks: Which scenario does this event align with? What decisions did we pre-commit to? Are we executing, or do we need to revise the narrative?
This documentation discipline is not just an internal governance tool. It is also a way to communicate with banks, state development institutions, and joint-venture partners who are being asked to co-finance investments. A firm that can present a structured scenario analysis, with clear trigger points and contingent commitments, is more credible than one that presents a single-point forecast with a generic “risk factor” appendix. In a capital-scarce environment, credibility is a competitive advantage.
The documentation process itself can be supported by tools that help structure narrative logic and maintain consistency across scenarios. Some strategy teams have found that an AI story generator that fits the draft workflow can accelerate the initial drafting of scenario narratives, allowing the team to focus on the operational validation and stress-testing that add the real analytical value. The key is that the tool serves the discipline, not the other way around: the narrative must still be forced to answer the hard operational questions that only someone who understands the shop floor can ask.
What the Practice Reveals About the Broader Industrial Environment
The spread of scenario narrative practices is itself a signal about the state of Russian industrial decision-making. It suggests that at least some firms have moved beyond the initial shock-absorption phase of 2022–2023 and are now building institutional capabilities for operating under persistent uncertainty. It also suggests a shift in the locus of strategic thinking: from Moscow-based holding company headquarters to the engineering and operations teams who understand the specific technical dependencies that the narratives must address.
There are limits, however. The practice requires a combination of skills that is not widely distributed: deep operational knowledge, the analytical discipline to construct coherent narratives, and the organizational authority to challenge senior management’s assumptions. In firms where the CEO’s intuition still overrides structured analysis, scenario narratives become a box-checking exercise. In firms where the operational teams lack the analytical training, the narratives become wishful thinking dressed up in prose.
The practice also has a blind spot: it is only as good as the imagination of the people constructing the scenarios. A narrative that does not include the possibility of a sudden freeze on Chinese bank transactions, because no one in the room has experience with Chinese compliance dynamics, will not stress-test that vulnerability. This is why the most sophisticated firms are rotating the scenario-construction team, bringing in procurement managers, quality engineers, and even external legal counsel to challenge the assumptions.
What This Means for Investors and Partners
For external parties trying to evaluate Russian industrial firms—investors, potential joint-venture partners, equipment suppliers considering re-entry—the presence or absence of a structured scenario practice is a useful diagnostic. A firm that can articulate the specific operational assumptions behind its investment plan, and that can describe the signposts it is watching and the contingent actions it has pre-committed to, is demonstrating a level of managerial discipline that is rare in any environment and particularly valuable in this one.
Conversely, a firm that presents a single-point forecast with no discussion of alternative scenarios, or that dismisses the uncertainty with a generic statement about “adapting to sanctions,” is signaling that its decision-making process has not caught up with the environment it operates in. The question to ask is not “What is your revenue forecast for 2025?” but “What are the three most specific assumptions in your investment case, and what would you do if each one turned out to be wrong?”
The Chelyabinsk hydraulic rebuilder’s investment is now in its ninth month. The “tightening controls” narrative has partially materialized: the Italian abrasive supplier did not lose its banking relationship, but a new EU regulation on machine tool components has delayed the delivery of a replacement spindle. Because the scenario exercise had identified this as a plausible event, the firm had already qualified a manual honing process and built the inventory buffer. The investment is behind schedule but not at risk of failure. The firm’s strategy lead, when asked what the exercise taught him, said: “We stopped pretending we could predict the future. We started preparing for the futures we could imagine.” That is not a guarantee of success. But in an environment where the baseline forecast is a dangerous illusion, it is the only rational way to allocate capital.