Weekly signals are clustered into themes and ranked against the group's own strategy levers, so what arrives is judgement rather than a list of links.
Back to all proofs
From a weekly newsletter to a self-running innovation radar
Client
Date
$70B+ global energy utility
08/2026
The challenge
Inside a $70B+ global energy utility, a five-person innovation team had to spot the technology and market signals that could change a group of 90,000 across some 30 countries. Its only standing coverage was an internal trend scanner producing a newsletter of links. Everything beyond that was manual desk research, one question at a time.
The solution
FifthRow deployed an always-on innovation intelligence layer. Priority domains go in; a synthesised weekly radar comes out, ranked against the group's strategy levers, with scheduled standing systems running unattended and purpose-built systems layered on top for whitespace mapping, cross-market regulatory comparison and business prequalification.
284,680
analyst-hours equivalent, 71 FTEs12
standing systems, nobody starts themMarket and technology scanning1,000+ sources per weekly radar
Reports per week~7 scheduled every Monday
Standing intelligence12 systems, 285 scheduled runs
Research volume growth332 → 3,587 runs, 10,025 → 382,036 sources
Analyst-hours equivalent284,680, or 71 FTEs
Twelve systems run on a fixed schedule against the domains the group has decided matter. Nobody starts them. Each one compares the current week against the last, so what lands is what changed, not what exists.
Core Activities
- Set one standing system per priority domain, not one scan across all
- Set each to scan patents, research, funding, partnerships and startups, classified against strategy levers
- Built a weekly radar clustering signals into themes, naming the three most disruptive opportunities
- Delivered every Monday into named inboxes, a five-to-ten-minute read over the full source-backed brief
- Extended the domain set as units surfaced new areas, adding scheduled regulatory watches
The Results
Every Monday the innovation team receives roughly seven synthesised domain reports with ranked opportunities and rationale, each built from over a thousand verified sources. Coverage does not depend on anyone having time that week.
103,143
analyst-hours equivalent, 26 FTEsEnergy regulation moves at different speeds in different jurisdictions, and the gap between them is where opportunity and risk both sit. A dedicated system compares the same regulatory question across markets on a standing schedule.
Core Activities
- Built a system running one regulatory question across national regimes in parallel
- Put high-value comparisons on a standing schedule, one running months across two neighbouring markets
- Ran impact assessments on specific directives, through to the business parts touched
- Extended coverage to forward-looking signals: what is coming, not what passed
- Delivered each comparison source-traceable, ready for a business-unit conversation
The Results
A standing, jurisdiction-by-jurisdiction regulatory picture on the domains where the group is deciding whether and where to invest, refreshed without anyone requesting it.
38
regulatory reads, no study commissionedMonitoring tells you what is happening. This system tells you where nobody is. It clusters signals into themes, then identifies the gaps between them and sizes what sits in the gap.
Core Activities
- Built a bespoke whitespace identifier tuned to the asset base and priority questions
- Ran emerging-trend discovery and a monitoring radar on ~20 client-supplied trends, refreshed weekly
- Combined whitespace mapping with voice-of-customer analysis, checking gaps against what customers said
- Fed whitespace analyses into concept work, including an idea-to-concept build off one finding
- Turned repeat requests into permanent systems
The Results
A continuously refreshed map of where the group's strategy levers meet an unserved market, delivered as opportunity briefs that a business unit can act on rather than as research to be interpreted.
27,549
analyst-hours equivalent, 7 FTEsAn opportunity that survives the radar has to survive scrutiny. A purpose-built prequalification system takes a candidate business idea and produces the case for and against it.
Core Activities
- Prequalified 38 live opportunities against one commercial standard
- Covered investment questions across European and South American markets, framed to strategy levers
- Ran market sizing as its own system where the number decided
- Added a lighter first-pass screen below the full case
- Fed outputs back into the radar so nothing was researched twice
The Results
A repeatable, evidence-backed business case on any candidate opportunity, with the same standard applied every time, so the innovation team can take a recommendation to a business unit rather than a hunch.
92,995
analyst-hours equivalent, 23 FTEsThe group's stated ambition is that a solution proven in one business unit or country becomes known and adopted across the others. FifthRow built the system that does the finding.
Core Activities
- Built a strategic scan assessing a proven solution area against a geography, two versions, 30-day and 90-day lookbacks
- Built an innovation research playbook by asset type, covering European asset classes
- Mapped a value chain across 120+ startups in three batched runs: who does what, where the group sits
- Accumulated research on the platform so context compounds instead of being rebuilt
- Structured outputs for reuse in business-unit presentations, not standalone reports
The Results
A growing, queryable body of structured intelligence on where solutions already proven inside the group could be applied next, and which external players are moving in the same space.
120+
startups mapped, no study commissionedWhat it proved
In the first year the team ran 332 research runs against 10,025 sources, one question at a time, every scan started by hand. Scheduled standing systems switched on in October 2025. In the eleven months since, the same team has run 3,587 runs against 382,036 sources, 285 of them starting on a schedule with nobody pressing go. Thirty distinct systems have run in production, from catalogue templates to a bespoke prequalification engine.
The team now holds standing credibility with the operating units it must influence. Five people deliver a synthesised domain radar every Monday, a self-refreshing regulatory picture by jurisdiction, and an evidence-backed business case on any candidate opportunity. The engagement has been renewed twice and twelve people are active on the system. Across 3,919 runs the platform records 284,680 analyst-hours saved, or 71 full-time analysts. The layer covers domains a team that size could never have watched continuously.
Results
| Metric | Benchmark | Result | Improvement |
|---|---|---|---|
| Agent runs per year | 332, all manually started | 3,587 in eleven months | 10.8× more |
| Sources analysed per year | 10,025 in year one | 382,036 in eleven months | 38× more |
| Reports per week | 1 newsletter of links | ~7 synthesised, 12 standing systems | 7× more, synthesised not listed |
| Scheduled, unattended runs | 0 before October 2025 | 285 across 12 systems | Roughly half of sources now unattended |
| Analyst-hours saved | Manual research, one question at a time | 284,680 hours across 3,919 runs | Equivalent of adding 71 full-time analysts |
Each report is sized for the slot a domain lead actually has, with the full source-backed brief underneath for anyone going further.
Scans run to a fixed schedule with nobody starting them, so coverage no longer depends on a person remembering to ask for it.
Templates carry routine scanning while systems built for one specific decision carry the questions where money is at stake.
A signal the radar surfaces can be carried through to a prequalified, evidence-backed business case without a separate research effort.
Research accumulates on the platform, so each new question starts from the body of work already built rather than from nothing.
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From a standing start to an AI venture serving small businesses
From 72 patents to 4 commercialisation-ready technologies
Cutting a four-month research cycle to six weeks across five validation workstreams
From a weekly newsletter to a self-running innovation radar
A full year's validated-concept target, met in the first quarter
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