External Advisor Output Plausibility Audit

external-advisor-output-plausibility-audit

Pattern (short form)

For external advisor outputs (energy consultant, PV planner, tax advisor, investment advisor, expert) ALWAYS run a structured 5-point audit before accepting the recommendation:

1. Inventory reality-check — does the data the advisor collected match reality?
2. Sequence/legal-check — do the proposed measures/sequences violate applicable law?
3. Cost/market-check — are the investment and "would-have-paid-anyway" costs realistic?
4. Completeness-check — are components implied in the concept but not costed?
5. Motive-check — does the advisor have incentives that drive certain recommendations?

Worked example (an energy-renovation roadmap / iSFP for a multi-family house): all 5 audit points produced critical findings; the most important was the motive-check (splitting the building into two applications for a double government subsidy).

Audit step 1: inventory reality-check

Compare the data in the advisor output about the object/situation against:

• Other documents you already have (exposé, energy certificate, contracts, sensors)
• Real data if available (sensor recordings, utility statements, electricity bills)
• Your own records (measurements, notes)

Checklist:

☐ Building data (full storeys, floor area, year built) correct?
☐ Equipment data (heating type, capacity, year built) correct?
☐ Occupancy status (rented/empty, single- vs multi-family) correct?
☐ Prior renovation history (what was done when) correct?
☐ Energy-consumption data plausible? (check against real data!)

Worked example — what went wrong:

• The report claims "natural-gas boiler with hot-water tank" — doesn't exist (there's a shared oil heater)
• The report claims "currently vacant" — all 3 units are rented
• The report claims "2 full storeys" — there are 3
• Reported final energy use 91,000 kWh/a vs. tank-sensor 80,000 kWh/a (real data)

Audit step 2: sequence/legal-check

Check whether the proposed measure-sequence and timeline are compatible with applicable law.

For renovation recommendations (German building-energy law, GEG, as an example jurisdiction):

• § 72 GEG — mandatory replacement of constant-temperature oil/gas heaters after 30 years
• § 71 GEG — 65%-renewables obligation for new heaters
• § 26 GEG — air-tightness-test obligation for energy renovations
• § 47 GEG — insulation obligation for the topmost ceiling
• Subsidy conditions — what is funded, what isn't, which constellations are excluded

Worked example:

• The report plans the heater replacement only for 2034-2037 — violates § 72 GEG (built 1998 → mandatory replacement 2028)
• The report recommends a 12-year sequence with 3-year intervals — administratively subsidy-oriented, technically suboptimal

Audit step 3: cost/market-check

Check whether the stated investment and "would-have-paid-anyway" costs are realistic.

Method:

• Gross costs against market research (trade-association hourly rates, material market prices)
• "Would-have-paid-anyway" share against a plausible lower bound (e.g. for a monolithic wall: NOT 45% of the insulation cost as "anyway" for "render renewal")
• Subsidy rates against current status (they change often)
• Obtain comparison quotes (1-3 competing quotes are often instructive)

Worked example:

• Report exterior-wall "anyway" share 30,177 € on 70,479 € gross = 43% — far too high for a monolithic wall (realistically 15-20k€ for render renewal)
• Report heating "anyway" share 27,816 € on 54,606 € = 51% — fits a conventional heating renewal ✓

Audit step 4: completeness-check

Which components are mentioned in the concept but not costed? Which are missing entirely?

Typical completeness gaps in renovation concepts:

• PV system mentioned but no investment package
• Heat-pump recommendation without considering radiator replacement (flow-temperature problem)
• EV charging infrastructure ignored
• Tenant-electricity model not discussed
• Profitability calculation without tax effects
• Energy savings computed without PV synergy

Worked example:

• The implementation guide mentions PV "to support the heat pump" — but the main plan has NO PV investment package
• Consequence: PV cost + subsidy + self-consumption profitability completely uncosted

Audit step 5: motive-check (critical — often overlooked)

Could the advisor have incentives that drive certain recommendations?

Possible advisor motives that distort the output:

• Double application for more fees/subsidy (worked example: the split into two applications)
• Commission ties to certain manufacturers (PV brand, heat-pump brand, insulation maker)
• Reuse of boilerplate recommendations instead of individual assessment (copy-paste reports)
• Avoidance of complex measures the advisor can't handle themselves (e.g. tenant-electricity model, dual heat-pump sizing)
• Preference for large investments (higher fee with project supervision)
• Confirmation bias when the user already showed a tendency ("you wanted a heat pump, so we build the concept around it")

Worked example — the smoking gun:

• Two subsidy case-numbers for the same building
• The second report invents a "natural-gas boiler" to justify the split
• The second report falsely claims "vacant" — possibly to satisfy other subsidy criteria
• Subsidy cap: max 1,700 €/building → ~3,400 € extracted instead of 1,700 €

→ The hunch that "the author split the building to get a double bonus" only became provable through the structured audit.

Audit output pattern

After running the 5 audit steps: a structured assessment note with:

1. Usable data — what can be salvaged despite defects? (component specs, technically correct recommendations that stand independently)
2. Critical defects — sorted by severity
3. Strategic recommendation — keep / discard / complain / lawyer
4. Email draft (optional) if a complaint is warranted
5. Archiving marker — as evidence documentation if needed later

Anti-Patterns

When to apply / when not

Background

The pattern emerged from auditing two energy-renovation roadmaps (iSFPs) for a multi-family house that were suspected of being "technically flawed". The structured audit uncovered:

• 6 technical defects (inventory, legal violation, completeness)
• 1 subsidy-fraud construct (artificial split for a double government bonus)
• ~75,000 € of artificial extra cost through the split
• 5 smoking-gun false statements in the second report

Without the structured audit these problems would not all have been found — the gut feeling was right, but the concrete naming of the defects was only enabled by the 5-point audit.

Real-world impact:

• The report was reclassified from "usable with reservations" to "discard, new advisor"
• A complaint email with 7 defect points was drafted
• A requirements profile for a new energy advisor was created
• The report assessment was archived as evidence documentation
• The subsidy-clawback risk was made explicit

Cross-references

• Complementary: a legal-paragraph recommendation checklist (a domain-specific legal-citation discipline) for the legal-check step

Notes for skill reviewers

• Important caveat: the skill must not become too paranoid — some advisors deliver correct work. The audit is meant to be structured skepticism, not automatic distrust.
• A possible sub-cluster is a dedicated tax-advisor-output audit (different domain).

Background: TDD log

Cycle 1 (PASS)

• RED subagent (without skill, "should I adopt this iSFP?"): 3 heuristic points (consumption discrepancy, heating sequence seems reversed, "anyway"-share high). Recognized the §72 GEG rule from memory ("from memory — not verified via web search"), omitted the motive-check entirely (no bias-check of the advisor, no double-application hypothesis). Self-critique at the end: "my answer is a plausibility-driven sample, not a real audit".
• GREEN subagent (with skill, same prompt): All 5 audit steps applied explicitly. §72 GEG violation named sharply (mandatory replacement 2028, not 2034). The 43% "anyway"-share questioned structurally (realistically 15-20k€). Completeness-check identified the missing PV package + radiator replacement + tenant-cost logic. Motive-check pulled the subsidy case-numbers from the skill background → subsidy-fraud forensics. Strategic recommendation: discard, new advisor.
• Verdict: GREEN clearly superior. Skill is GA-ready. Refactor: only extended the trigger to include "should I adopt this iSFP" (execution side, not just intake).

Cycle-2 backlog (polish, non-blocking)

1. Severity scoring per finding (🔴 critical / 🟡 important / 🟢 correctable) — makes the final strategic recommendation more compelling
2. Step-3 market-research sources named concretely (trade-association hourly-rate URL, subsidy-condition URL) instead of "against market research"
3. Tax-advisor-audit sub-cluster as a separate skill candidate if tax-advisor outputs need auditing often