{"schema_version":1,"research_id":"eoa_inverse_innovation_exp06_external_evaluation_20260803","source_assessment_id":"catalytic_pathway_enablement__futurism_foresight:P1:v0","cell_id":"catalytic_pathway_enablement__futurism_foresight","search_queries":["water utility horizon scanning strategic foresight emerging risks planning official","site:water.org.uk horizon scanning water utilities long term planning futures","site:ofwat.gov.uk long term delivery strategy scenarios adaptive planning uncertainty water companies","horizon scanning signal management implication cards software foresight platform","site:gov.uk Futures Toolkit horizon scanning implications signals evidence uncertainty PDF","strategic foresight horizon scanning challenge turning signals into implications research paper workflow","water utility strategic foresight horizon scanning signals planning practitioner","commercial foresight platform signals implications workflow software official","site:ofwat.gov.uk/wp-content/uploads/2022 long term delivery strategies final guidance pdf April 2022","site:bls.gov/oes/2024/may management analysts software developers annual mean wage","site:bls.gov/oes/current management analysts software developers annual mean wage"],"sources":[{"source_id":"S1","title":"PR24 and beyond: Long-term delivery strategies and common reference scenarios","publisher":"Ofwat","url":"https://www.ofwat.gov.uk/publication/pr24-and-beyond-long-term-delivery-strategies-and-common-reference-scenarios/","source_class":"GOVERNMENT_OR_REGULATOR","publication_date":"2021-11-17","accessed_at":"2026-08-03","claims_supported":["Ofwat expects regulated water companies to include long-term delivery strategies in PR24 business plans.","Ofwat proposed common requirements, reference scenarios, and wider scenario planning to address future uncertainty.","Ofwat is an identifiable sector authorizer expressing demand for structured adaptive planning, although not for this specific kernel."]},{"source_id":"S2","title":"The Futures Toolkit HTML","publisher":"UK Government Office for Science","url":"https://www.gov.uk/government/publications/futures-toolkit-for-policy-makers-and-analysts/the-futures-toolkit-html","source_class":"OFFICIAL_GUIDANCE","publication_date":"2024-08-29","accessed_at":"2026-08-03","claims_supported":["Official guidance already defines a structured horizon-scanning pathway from signals through rigorous analysis to impacts, recommendations, and strategic use.","The guidance explicitly permits databases containing structured scanning records and commercially available scanning software.","It identifies risks of narrow scanning, stale outputs, bias, and inadequate rigor, and recommends diverse participation and explicit analysis."]},{"source_id":"S3","title":"Horizon scanning: a process for identifying emerging signals of change shaping the future of natural resources management","publisher":"USDA Forest Service Research and Development / Society & Natural Resources","url":"https://research.fs.usda.gov/treesearch/67717","source_class":"PRIMARY_RESEARCH","publication_date":"2024","accessed_at":"2026-08-03","claims_supported":["A documented horizon-scanning process searches diverse sources, stores signals in a database, explores implications, and monitors change over time.","Early awareness and monitoring can support planners and policymakers facing disruptive external change.","The source supports general workflow feasibility but does not measure the candidate utility's dossier queue or kernel performance."]},{"source_id":"S4","title":"Setting Up a Horizon Scanning System: A U.S. Federal Agency Example","publisher":"SAGE Publications, World Futures Review","url":"https://journals.sagepub.com/doi/10.1177/1946756717749613","source_class":"PRIMARY_RESEARCH","publication_date":"2018-01-10","accessed_at":"2026-08-03","claims_supported":["The U.S. Forest Service and University of Houston implemented an ongoing horizon-scanning system with a core team, scoped domain, consistent tagging, stakeholder mapping, and monitoring indicators.","A living Scanner Guide had reached version 9, demonstrating versioned procedural standardization and maintenance.","The project reported the continuing challenge of keeping the system current, relevant, consistent, and internally sustainable."]},{"source_id":"S5","title":"Fusing strategic risk and futures methods to inform long-term strategic planning: case of water utilities","publisher":"Springer Nature, Environment Systems and Decisions","url":"https://d-nb.info/124166563X/34","source_class":"PRIMARY_RESEARCH","publication_date":"2021","accessed_at":"2026-08-03","claims_supported":["The study identifies a gap in integrated frameworks connecting water-utility operational risk work to strategic long-term planning.","It reports an applied risk-and-futures framework at Portugal's largest water utility, EPAL, using scenarios, evidence, uncertainty characterization, cross-functional experts, monitoring, and Board-level outputs.","It reports practical barriers including fragmented procedures, lack of time or training, information demands, organizational silos, and difficulty incorporating stakeholder input.","The applied workflow is a close analogue but is workshop- and expert-intensive rather than a per-signal automated fast lane."]},{"source_id":"S6","title":"All-in-one Solution for Strategic Foresight","publisher":"Futures Platform","url":"https://www.futuresplatform.com/industry-standard-foresight-platform-for-future-proof-strategy","source_class":"COMMERCIAL_FIRST_PARTY","publication_date":"n.d.","accessed_at":"2026-08-03","claims_supported":["A commercial platform already combines large signal repositories, maintained analyses, foresight radars, horizon scanning, scenario analysis, collaboration, import/export, voting, and access controls.","The platform describes recurring content review and updating, overlapping with the proposed kernel's reuse and refresh concepts.","The source is first-party product evidence and does not independently verify effectiveness or water-utility deployment."]},{"source_id":"S7","title":"Newness — Futures Intelligence Platform","publisher":"Newness","url":"https://www.newness.ai/","source_class":"COMMERCIAL_FIRST_PARTY","publication_date":"n.d.","accessed_at":"2026-08-03","claims_supported":["A commercial foresight platform already supports signal collection, semantic classification, uncertainty and impact labels, collaboration, activity reporting, monitoring, integrations, private workspaces, and export.","Public prices observed were €199-€499 per month on annual billing and €239-€599 per month on monthly billing, providing only a low-end software-subscription anchor.","The source supports technical adjacency and price order of magnitude, not the full integration, governance, specialist-review, or evaluation cost."]},{"source_id":"S8","title":"How much could I be earning? Using Occupational Employment and Wage Statistics data during salary negotiations","publisher":"U.S. Bureau of Labor Statistics","url":"https://www.bls.gov/oes/earnings.htm","source_class":"GOVERNMENT_OR_REGULATOR","publication_date":"2025-05-13","accessed_at":"2026-08-03","claims_supported":["May 2024 OEWS data provide occupational wage distributions usable as a labor-cost anchor.","The page reports computer-systems-analyst annual means ranging from $93,310 to $133,510 across illustrated industries, with broader percentile variation.","Cost estimates must additionally assume benefits, overhead, foresight expertise, and 2026 escalation; those additions are not supplied by the source."]}],"problem_evidence":{"support":"WEAK","rationale":"Water-utility research documents fragmented operational-to-strategic planning, long-term uncertainty, cross-functional information burdens, and limited integration of futures methods. Official guidance also confirms that signals must be structured, analyzed, and translated into implications. However, no source verifies the candidate's decisive local facts: an existing regional utility, a dossier backlog, repeated returns for the same missing fields, queue age, touch time, rework prevalence, or planning-checkpoint losses. The broad problem is visible, but the stated operational bottleneck remains a hypothesis requiring proprietary workflow data.","source_ids":["S1","S2","S5"]},"stakeholder_evidence":{"support":"MODERATE","rationale":"Ofwat is an identifiable regulator requiring water companies to develop long-term strategies using scenarios, and EPAL is an identifiable utility that participated in a related applied futures-and-risk workflow. These establish credible authorizer and adopter classes with expressed need for uncertainty-aware planning. Neither has requested, funded, committed to, or authorized the proposed Signal-to-Implication Kernel or its 24-dossier probe.","source_ids":["S1","S5"]},"prior_art":{"proximity":"SUBSTANTIAL_COLLISION","closest_analogues":[{"name":"UK Government Office for Science Futures Toolkit","similarity":"Already specifies horizon scanning, structured records or databases, rigorous signal analysis, implications, summaries, scenarios, monitoring, and strategic handoffs.","remaining_difference":"It is general methodological guidance, not a water-utility-specific executable kernel with admission metering, blind quality review, batch regeneration, and measured turnover/selectivity against comparators.","source_ids":["S2"]},{"name":"U.S. Forest Service ongoing horizon-scanning system","similarity":"Uses an ongoing system, scoped domain, database, consistent tags, versioned living guidance, stakeholder mapping, scenario indicators, and maintenance for relevance and consistency.","remaining_difference":"It primarily organizes scanning and emerging-issue development; the source does not show a per-dossier implication-card fast lane, utility asset tags, capacity dashboard, or matched productivity and noninferiority assay.","source_ids":["S3","S4"]},{"name":"EPAL integrated strategic-risk and futures framework","similarity":"A direct water-utility application connects evidence, uncertainty, cross-functional operational expertise, scenarios, monitoring, and Board-level strategic outputs.","remaining_difference":"It is an expert- and workshop-intensive strategic-risk process rather than a reusable automated signal-to-card interface with routine-case eligibility, bounded specialist contact, and case-level turnover measurement.","source_ids":["S5"]},{"name":"Futures Platform and Newness","similarity":"Commercial systems already offer signal repositories, classification, radars, collaboration, monitoring, access controls, activity reporting, integrations, maintained content, and automated scanning.","remaining_difference":"Public product materials do not demonstrate the proposed utility-specific implication-card schema, unchanged decision standard, explicit exception lane, capacity-coupled admission, regeneration test, or causal field evidence versus manual and template-only comparators.","source_ids":["S6","S7"]}],"distinctive_claim_remaining":"For a defined water utility and fixed eligible case mix, the full governed kernel—not merely a structured template or generic foresight platform—will reduce dossier-to-accepted-card analyst touch time and elapsed time versus both the existing manual process and a template-only comparator, while remaining noninferior on provenance, uncertainty preservation, atypical-signal routing, security, reviewer workload, and downstream backlog, and while maintaining performance across successive batches without case-proportional redesign or expert labor.","confidence":"MODERATE"},"implementation_evidence":{"support":"MODERATE","rationale":"Official guidance, a federal implementation, an applied water-utility case, and commercial platforms show that structured records, validation, classification, workflow tooling, versioning, monitoring, access controls, and specialist-supported foresight are technically and organizationally feasible. The candidate can be implemented with conventional workflow software and human review; no novel scientific capability is required. Feasibility is nevertheless unverified for the unnamed utility's data architecture, records schedule, cybersecurity rules, procurement constraints, collective agreements, reviewer capacity, and decision-rights structure. Automation also cannot substitute for substantive foresight judgment or safely infer authority.","source_ids":["S2","S3","S4","S5","S6","S7"]},"scores":{"meaningful_impact":{"score":3,"rationale":"Timelier, traceable treatment of emerging risks could improve adaptive infrastructure planning, but local signal volume, delay, decision sensitivity, and avoidable loss are unmeasured.","source_ids":["S1","S5"]},"stakeholder_pull":{"score":3,"rationale":"Regulatory and applied-utility evidence shows demand for long-term, uncertainty-aware planning, but no identified utility has requested or committed to this kernel.","source_ids":["S1","S5"]},"incremental_advantage":{"score":2,"rationale":"Most functional elements already exist in official practice, an agency system, a water-utility framework, and commercial platforms. Advantage depends on an untested causal productivity and quality result.","source_ids":["S2","S4","S5","S6","S7"]},"distinctiveness_plausibility":{"score":2,"rationale":"The remaining distinction is a narrow combination of utility-specific workflow governance, capacity control, regeneration, and comparative measurement rather than a clearly novel method or product category.","source_ids":["S2","S4","S5","S6","S7"]},"technical_implementability":{"score":4,"rationale":"Schemas, validation, audit logs, routing, dashboards, access controls, and versioning are established software and workflow capabilities; substantive judgment remains human.","source_ids":["S2","S4","S6","S7"]},"adoption_authority_feasibility":{"score":3,"rationale":"Water-sector regulators, utility Boards, and foresight or risk owners are credible authorities, and a shadow test can be non-decisional. The actual utility, jurisdiction, director mandate, and records/security approvals are unidentified.","source_ids":["S1","S5"]},"evidence_readiness":{"score":2,"rationale":"Public evidence supports the domain and adjacent practices but supplies none of the utility-specific queue, rework, touch-time, quality, or case-level outcome data needed to test the claim.","source_ids":["S2","S5"]},"safety_net_benefit":{"score":4,"rationale":"A redacted historical shadow test, manual fallback, exception routing, quarantined outputs, version revocation, and unchanged committee authority provide a credible containment and rollback structure if locally approved.","source_ids":["S2","S4"]},"scalability":{"score":3,"rationale":"Software reuse can scale routine cases, but operational-review capacity, context-sensitive interpretation, records controls, atypical signals, and downstream committee capacity impose material limits.","source_ids":["S4","S5","S6","S7"]}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"10K_TO_50K","scope":"Design and execute a non-decisional 24-dossier historical shadow study with three conditions, blind scoring, time capture, security review, analysis, and a decision memo.","confidence":"MODERATE","assumptions":["Existing redacted dossiers and reviewers are available without acquisition cost.","Approximately 150-300 combined analyst, reviewer, security, and evaluation hours are required.","The study uses an existing workflow or low-code tool rather than production integration.","Loaded 2026 labor is assumed above published wages to include benefits, overhead, and escalation."],"source_ids":["S7","S8"]},"initial_deployment_startup":{"band_2026_usd":"50K_TO_250K","scope":"Configure the utility-specific schema, validation rules, audit logging, role-based access, exception path, dashboard, test suite, records mapping, and training materials.","confidence":"LOW","assumptions":["One utility and one bounded signal-to-card workflow are in scope.","The utility can reuse an existing document/workflow platform or a commercial foresight platform.","No bespoke foundation model, major data migration, or safety-critical operational integration is required.","Security, records, and accessibility review are included, but remediation of legacy systems is excluded."],"source_ids":["S6","S7","S8"]},"operational_launch":{"band_2026_usd":"50K_TO_250K","scope":"Production hardening, controlled onboarding, supervised first batches, independent sampling, incident exercises, integration support, and launch governance over approximately 6-12 months.","confidence":"LOW","assumptions":["Launch remains limited to one utility and routine, non-decisional dossiers.","A part-time product or method owner, analyst support, specialist reviewers, IT, and records/security staff participate.","Existing identity, logging, and collaboration infrastructure can be reused.","A high-assurance custom procurement or multi-utility rollout would exceed this scope."],"source_ids":["S6","S7","S8"]},"annual_recurring":{"band_2026_usd":"50K_TO_250K","scope":"Ongoing stewardship, specialist review, sampling, version refresh, access administration, training, platform subscription, support, incident response, and annual evaluation.","confidence":"LOW","assumptions":["Recurring effort is roughly 0.5-1.5 loaded FTE equivalents across foresight, review, IT, and governance roles.","Public vendor pricing anchors only the low-end software component; enterprise security and integration pricing are unknown.","Case volume remains within the capacity of a small specialist lane.","Major redesign, new data licenses, or additional downstream planning capacity are excluded."],"source_ids":["S7","S8"]}},"verified_pipeline_gates":{"externally_supported_problem":{"status":"UNCERTAIN","reason":"External sources verify a broader water-utility challenge linking uncertainty, futures work, operational knowledge, and strategic planning, but not the candidate's specific recurring dossier bottleneck, queue, missing-field pattern, or material consequence.","source_ids":["S2","S5"]},"externally_credible_adopter_or_authorizer":{"status":"YES","reason":"Ofwat is an identifiable regulatory authorizer requiring uncertainty-aware long-term planning, and EPAL is an identifiable water utility that adopted a related risk-and-futures process. Neither is a committed partner for this proposal.","source_ids":["S1","S5"]},"distinct_testable_incremental_claim":{"status":"YES","reason":"The remaining claim can compare the full kernel with manual and template-only pathways while holding case mix, standards, labor access, and decision authority constant and testing speed, quality, safety, and batch stability.","source_ids":["S2","S4","S5","S6","S7"]},"bounded_next_evidence_step":{"status":"YES","reason":"A 24-case, redacted, historical, non-decisional three-condition study is bounded, reversible, comparator-based, and capable of falsifying the claimed incremental effect.","source_ids":["S2","S4"]},"no_unresolved_safety_or_authority_stop":{"status":"UNCERTAIN","reason":"The proposed shadow-test containment is credible, but the unnamed utility's director authority, reviewer consent, records classification, cybersecurity approval, procurement rules, and permission to reuse historical dossiers have not been verified.","source_ids":["S1","S5"]},"credible_cost_scope_and_range":{"status":"YES","reason":"The four ranges are broad, explicitly scoped resource-equivalent estimates anchored to public labor data and a low-end software price. Enterprise integration and local loaded labor remain important uncertainties captured by low confidence.","source_ids":["S7","S8"]}},"next_evidence_step":"With a named utility partner and written records/security approval, freeze one kernel version, the existing manual procedure, a template-only comparator, eligibility rules, reviewer rubric, and halt criteria. Select 24 redacted previously completed dossiers as eight matched triplets stratified by topic, prior complexity, sensitivity, and atypicality; randomly assign one case in each triplet to manual processing, template-only processing, or the full kernel. Use reviewers blinded to pathway and keep evidence access, substantive standards, available labor, and decision rights fixed. Measure elapsed time, analyst and specialist touch time, validation failures, reroutes, provenance defects, unsupported assertions, uncertainty retention, atypical-signal exclusion, rework, reviewer disagreement and workload, audit reproducibility, security events, and downstream review demand. Precommit success as at least a 25% median touch-time reduction versus manual and at least 10% versus template-only, with no more than a five-percentage-point deterioration on any predeclared quality or routing measure, no critical security or authority event, and no worsening across the second 12-case batch. Falsify the incremental claim if either time threshold fails, quality crosses its noninferiority margin, case-proportional expert labor or kernel redesign is required, atypical signals are systematically excluded, audit trails fail, or reviewer/downstream load merely relocates the bottleneck. No output may enter a live planning decision.","blocking_evidence":["No named utility, jurisdiction, committed sponsor, or written authorization for the shadow study is identified.","No audit of signal-register volume, queue age, repeated missing-field returns, touch time, rework, or planning-checkpoint consequences is available.","No evidence establishes that dossier translation rather than committee capacity, budget, authority, or risk appetite is the rate-limiting step.","Availability, representativeness, records status, and lawful reuse of 24 redacted completed dossiers are unverified.","Local cybersecurity, information-classification, retention, procurement, accessibility, reviewer-consent, and labor constraints are unverified.","No comparative evidence shows that the full kernel improves on a template-only intervention or generic foresight platform.","Enterprise integration, support pricing, loaded labor rates, and recurring case volume are unknown."],"research_disposition":"PARTNERED_RESEARCH_PROGRAM","world_novelty_boundary":"This evaluation measures only publicly discoverable problem evidence, stakeholder signals, implementation precedent, and contrast with eight opened sources as of 2026-08-03. It does not measure world novelty, patentability, freedom to operate, market size, procurement availability, or realized impact. The search found substantial functional collision but cannot establish that no unpublished, proprietary, local, patented, or differently named implementation matches the proposal.","arm":"COMPLETE_PROPOSAL_PORTFOLIO","candidate_version":0,"controller_recommendation":{"action":"STOP_EMPIRICAL_RESEARCH_NEEDED","repairable":false,"material_progress_observed":true,"progress_targets":["Secure a named utility partner and written foresight-director, records, cybersecurity, and reviewer authorization for a historical non-decisional study.","Complete a time-and-motion audit demonstrating a recurring dossier-to-implication bottleneck and distinguishing it from downstream committee, budget, and authority constraints.","Run the precommitted 24-dossier manual-versus-template-only-versus-full-kernel study and report all time, quality, routing, safety, workload, and batch-stability outcomes.","Produce local startup and recurring cost estimates using the chosen platform, integration architecture, loaded labor rates, case volume, security requirements, and reviewer capacity."],"reason":"Bounded web research establishes a real adjacent water-utility foresight need, credible authority classes, high technical feasibility, and substantial prior-art collision. It cannot verify the candidate-specific bottleneck or the remaining causal advantage; those require proprietary workflow data, local authorization, and live human evaluation. Under the controller rule, that evidence gap requires an empirical-research stop."},"proposal_index":1}