Problems › The Team Is Not Executing the Plan › Energy & Utilities Services
When a good plan is not being executed, the usual cause is that crews continue to book time to overhead line work under the master service agreements. What makes this harder for utility contractors is structural: margin improvement requires shifting revenue to automation and controls but that reduces overhead line work and operating profit unless utilization exceeds 79 percent which outage scheduling prevents. Any credible answer therefore has to hold 18.0 and 71.4 in the same view, which is exactly where most internal analysis stops because the two live in different systems.
When a good plan is not being executed, the usual cause is that crews continue to book time to overhead line work under the master service agreements. What makes this harder for utility contractors is structural: margin improvement requires shifting revenue to automation and controls but that reduces overhead line work and operating profit unless utilization exceeds 79 percent which outage scheduling prevents. Any credible answer therefore has to hold 18.0 and 71.4 in the same view, which is exactly where most internal analysis stops because the two live in different systems.
Execution failure is rarely unwillingness. It is normally that the plan to shift revenue to automation and controls collides with craft utilisation measured at 71.4 and the operating profit that only holds if utilisation exceeds 79 percent, which the outage windows prevent.
The diagnostic question is not why crews are not moving to the new work but what margin on the 248.6 million dollars they are being asked to give up, and whether the utility procurement officer offsets the project write-downs that follow.
The second common cause is arithmetic: the plan assumes backlog can be converted at 23 without enough outage window capacity, so the crews complete the 6.6 or 18.0 they can reach and the automation portion stays untouched.
These three together are the signature. One on its own usually points somewhere else.
✓ Craft utilisation stays at 71.4 while the automation portion of the backlog does not move.
✓ Weekly reports show activity on existing master service agreements rather than new controls projects.
✓ Project write-downs appear on the overhead line work that the plan said would be reduced.
The move that usually makes it worse. The move that usually makes it worse: Communicating the automation target harder, which addresses a comprehension problem that does not exist and delays renegotiating the master service agreements with the utility procurement officer.
It is for you if you run or finance a utility contractor and the plan is understood and agreed and still nothing changes. It is the situation where the numbers are available but nobody has put them in an order that produces a decision.
It is not for you if Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
Below is an excerpt from a real run of this analysis on a utility contractor. It is a sample profile rather than a customer, and it is unedited engine output — this is the format you get, on your own numbers.
The subject is Verrick Energy Services, a sample company profile used for testing rather than a customer — 248.6 million dollars revenue from regulated utility asset projects.
Excerpt from a real Percision run · Quick Market Scan · sample company profile
The move. Monetise 9.2-day energised outage reliability inside existing MSAs to expand share-of-wallet and lift blended margin 135 bps.
| Investment required | $0.6–0.9 M (retention bonuses for 150 senior linemen and minor estimating-process tweaks) |
| Expected return | Base case: 4.8× return on $0.75 M investment via $3.6 M incremental gross profit in Year 2; conservative range 3.2–6.1× based on 200–300 bps premium capture. |
| Revenue, year 1 | $255–260 M (+3–5 % vs FY2025) |
| Revenue, year 2 | $265–275 M (+7–11 % vs FY2025) |
| Revenue, year 3 | $280–295 M (+13–19 % vs FY2025) |
| Exit criteria | Strategy should be reversed if, within 18 months, (a) craft utilisation has not reached 75 % OR (b) at least 2 of 3 targeted MSA renewals have not been signed with explicit energised-window guarantees, OR (c) substation-segment gross margin remains below 19.5 % after premium pricing implementation. |
This is one move out of a full analysis. Read a complete report — every page, no email required.
This question routes to Organizational Alignment Model, one of 29 engagements the platform runs. For utility contractors it works through 18.0, 71.4, 23 and 6.6, then produces the sequence rather than a list of options — which move first, what it funds, and the observation that would say the sequence is wrong.
You watch the analysis get built before paying anything. Read a complete report here if you would rather see the depth first.
Change what people are measured on before asking them to behave differently. Buy-in follows the incentive far more reliably than it follows the explanation.
Occasionally. Far more often it is a structure problem that looks like a people problem, which is worth testing first because replacing people does not fix a structure and is expensive to discover.
Usually yes, but for capacity reasons rather than comprehension. A plan with three priorities that fit the capacity available beats one with twelve that do not.
Materially, yes. Margin improvement requires shifting revenue to automation and controls but that reduces overhead line work and operating profit unless utilization exceeds 79 percent which outage scheduling prevents — which changes both the diagnosis and the order of the fixes. The metrics that decide it here are 18.0, 71.4, 23, and an answer built on industry-general benchmarks will usually point at the wrong one first.
Less than most people expect. Your last twelve months of revenue and cost split the way you already split it, plus whatever you hold on 18.0 and 71.4. The analysis is explicit about what it is assuming where your data stops, which is more useful than waiting for numbers you may never have.
Percision is the wrong tool if you already know the answer and only need execution capacity, or if the business is pre-revenue — then the constraint is evidence about the market, not analysis of your own figures. Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library. Also wrong if you need facilitation, politics, or someone to sit with a lender or buyer. Those are human jobs.
Percision is not a lawyer, tax advisor, auditor, licensed appraiser, clinical or regulatory filer, or an AI implementation shop. It does not do HR casework, creative-only brand work, or impersonate a named consulting firm. It is a strategy analysis engine — not a template library.
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