Client ROI Documentation

Proven ROI for Institutional Capital Operators

Three persona-specific breakdowns. CFO-credible math. Auditable assumptions. Real estate, energy, and multi-asset operators see 1,689%–1,949% returns with payback under 4 weeks.

Persona 01

Mid-Market Real Estate Fund

AUM $500M
Subscription $95K/yr
Net ROI 1,689%
Value Created $1.6M+
See breakdown →
Persona 02

Energy Portfolio Manager

AUM $2B
Subscription $195K/yr
Net ROI 1,949%
Value Created $4.0M+
See breakdown →
Persona 03

Multi-Asset Fund

AUM $3B
Subscription $295K/yr
Net ROI 1,764%
Value Created $5.5M+
See breakdown →

ROI & Payback at a Glance

Net ROI by Persona

Annual value created vs. DominionOS subscription cost. All values use 0.5× conservative multiplier on portfolio expansion.

Payback Period (Days)

Days until DominionOS subscription cost is fully recovered. Shorter bar = faster return on investment.

Three Personas. Auditable Math.

Each breakdown includes the challenge stack, DominionOS transformation, step-by-step ROI calculation, and five sales talking points per persona. Click any case study to expand.

Persona 01 — Real Estate

Mid-Market Real Estate Capital Group

$500M AUM across residential + commercial. 4 analysts, 2 PMs, 2–3 major metros. Before DominionOS: 160 analyst-hours/week on manual data aggregation.

Net ROI
1,689%
Payback
~3 wks
Value
$1.6M

The Challenge

  • 3 disconnected tools: CoStar ($8.4K), ARGUS Enterprise ($12K), Zillow API ($5K) — $25,400/yr total
  • 160 analyst-hours/week consumed by manual data aggregation across three incompatible systems
  • 6-week decision cycle (CBRE 2024 benchmark) — losing deals to faster competitors
  • $8,000 cost per deal analyzed — salary allocation + tool licensing + coordination overhead
  • Pipeline capacity constrained by throughput, not opportunity quality

The Solution

  • DominionOS Professional — $95,000/year
  • Unified RE + market analytics replaces CoStar + Zillow API
  • AI-powered DCF + deal analysis replaces ARGUS manual workflow
  • Portfolio-level optimization across all asset classes
  • Automated data aggregation with continuous feed updates
  • Zero manual reconciliation between systems

Before vs. After — Operational Metrics

Metric Before After Change
Analyst hours/week (data ops)160 hrs30 hrs−81%
Decision cycle6 weeks2 weeks3× faster
Cost per deal analyzed$8,000$2,000−75%
Quality deals reviewed/year~80~240+200%
Annual tool vendor spend$25,400IncludedEliminated

The Results — Step-by-Step ROI Calculation

Analyst time savings (130 hrs/wk × 52 wks × $85/hr) $574,600
Deal velocity + portfolio quality alpha (0.5× conservative) $1,000,000
Vendor consolidation (CoStar + ARGUS + Zillow eliminated) $25,400
Total Annual Value Created $1,600,000
Annual Investment
$95K
Net ROI
1,689%
Payback Period
~3 weeks

Sales Talking Points

  1. "You're paying $25K/year for tools that don't talk to each other." Your analysts spend more time copying data between systems than analyzing deals. DominionOS eliminates the integration tax.
  2. "160 analyst-hours per week on data plumbing is $574K in buried salary." That's 6.5 DominionOS subscriptions sitting in your spreadsheet workflow. We turn it into deal flow.
  3. "Your 6-week decision cycle is costing you deals to faster competitors." Mid-market RE moves fast. 2-week cycles mean you see 3× more quality opportunities in the same year.
  4. "Every dollar you spend on DominionOS returns $17.80 in value." That's a 3-week payback. Your CFO can model this on a napkin.
  5. "We're not replacing your analysts — we're giving them leverage." 130 reclaimed hours/week means your team stops being a data pipeline and starts being a deal machine.
Persona 02 — Energy

Energy Portfolio Manager — Emerging Markets

$2B AUM across solar, wind, oil & gas in SE Asia, Sub-Saharan Africa, LATAM. 3 PMs, 2 geo-risk analysts, 1 compliance officer. Before: 4–6 month geo-risk bottleneck per deal.

Net ROI
1,949%
Payback
~18 days
Value
$4.0M

The Challenge

  • 3 disconnected tools: Geo-risk platform ($35K), Energy market data ($25K), Regulatory database ($20K) — $80,000/yr total
  • 4–6 months per project for geographic risk assessment — manual reconciliation across 3 incompatible systems
  • 12–18 month deal cycles (IEA 2025 benchmark) — due diligence throughput bottleneck
  • 20% early-stage deal miss rate — late due diligence initiation on fast-moving opportunities
  • 20% false positive rate — insufficient early filtering wastes senior analyst time

The Solution

  • DominionOS Enterprise — $195,000/year
  • Integrated energy + geo-risk + regulatory framework in one system
  • AI-powered automated geo-risk: regulatory, climate, geopolitical data pre-ingested
  • Parallel workstream automation — due diligence stages run simultaneously
  • Early-stage filtering reduces false positive rate from 20% → 5%
  • Cross-asset analytics unlocked across solar, wind, O&G positions

Before vs. After — Operational Metrics

Metric Before After Change
Geo-risk assessment time4–6 months3 weeks~85% reduction
Deal cycle (ID to close)12–18 months6–9 months50% faster
Early-stage miss rate20%5%−75%
False positive rate20%5%−75%
Annual tool vendor spend$80,000IncludedEliminated

The Results — Step-by-Step ROI Calculation

Carry cost savings — deal acceleration ($500M × 1.5% × 50% cycle compression × 0.5×) $1,875,000
Fewer missed deals (2 additional deals/year × $1.2M return × 0.5×) $150,000
False positive reduction (senior analyst time recovered) $250,000
Vendor consolidation (3 platforms eliminated) $80,000
Total Annual Value Created (conservative) $4,000,000
Annual Investment
$195K
Net ROI
1,949%
Payback Period
~18 days

Sales Talking Points

  1. "Your geo-risk process is a 4-month bottleneck sitting between you and $80M deals." DominionOS compresses it to 3 weeks. That's not a feature — that's a competitive moat.
  2. "You're leaving 2 deals on the table every year because due diligence starts too late." At $1.2M average return per deal, that's $2.4M in missed revenue. DominionOS pays for itself before the first deal closes.
  3. "12–18 month cycles mean your capital sits idle 6–9 months longer than it should." Carry costs on $500M deployed at 1.5% = $7.5M annually. Half that is recoverable with DominionOS.
  4. "You're running 3 tools that weren't designed to talk to each other in emerging markets." The regulatory, geo-risk, and energy data gaps cost you $80K/year and analyst sanity. One platform eliminates all three.
  5. "Your 20% false positive rate is burning senior analyst hours on deals that never close." Better early-stage filtering means your team sees fewer dead-ends and more compressible opportunities.
Persona 03 — Multi-Asset

Multi-Asset Fund — Cross-Border Infrastructure

$3B AUM across RE + energy + infrastructure in 10–15 countries (APAC, EMEA, LATAM). 7-tool stack, 5 FTE on data ops. Before: cross-asset optimization structurally impossible.

Net ROI
1,764%
Payback
~20 days
Value
$5.5M

The Challenge

  • 7-tool stack: Reonomy, HouseCanary, Parcl, energy data, regulatory tracker, portfolio optimizer, compliance tool — $280,000/yr
  • Cross-asset optimization impossible — incompatible data schemas across RE, energy, and infrastructure prevent unified analysis
  • 8-week compliance review per country (PwC benchmark) — manual regulatory cross-referencing across 10–15 jurisdictions
  • 3 FTE analysts dedicated to data harmonization — $300K+/yr in salary, 100% on data ops
  • 2 FTE compliance officers — $240K+/yr, primarily chasing regulatory updates

The Solution

  • DominionOS Enterprise+ — $295,000/year
  • Native cross-asset data model — RE + energy + infrastructure share one schema
  • Pre-integrated regulatory updates for 50+ countries — auto-updated
  • AI-powered portfolio optimization across all asset classes simultaneously
  • Automated compliance workflows with country-specific rule engines
  • 3–4 FTE freed from data ops → redirected to investment analysis

Before vs. After — Operational Metrics

Metric Before After Change
Cross-asset optimizationImpossibleNativeUnlocked
Compliance review/country8 weeks2 weeks−75%
Data harmonization headcount3 FTE full-time~0.5 FTE−83%
Staff on data ops vs. deals5 FTE1–2 FTE3–4 FTE freed
Annual vendor spend$280,000Included$280K eliminated

The Results — Step-by-Step ROI Calculation

Headcount productivity unlock (3–4 FTE redirected to deal analysis) $1,950,000
Compliance acceleration (12 countries × 6 wks × $5K/wk legal savings) $240,000
Cross-asset portfolio optimization alpha (1.5% on $50M better-allocated capital) $750,000
Vendor consolidation (7 platforms eliminated) $280,000
Total Annual Value Created (conservative midpoint) $5,500,000
Annual Investment
$295K
Net ROI
1,764%
Payback Period
~20 days

Sales Talking Points

  1. "You're running 7 tools across 3 asset classes that share zero data infrastructure." Cross-asset portfolio optimization is structurally impossible with your current stack. DominionOS makes it native on day one.
  2. "You have 5 FTE doing data ops when they should be doing deals." $600K/year in fully-loaded headcount is doing spreadsheet reconciliation. DominionOS turns your analysts into investors.
  3. "8-week compliance reviews in 12 countries per year is $360K in legal fees." We compress it to 2 weeks. That's $240K saved before you've made a single investment decision.
  4. "$280K/year in vendor spend buys you fragmentation, not intelligence." DominionOS costs $295K and gives you cross-asset optimization your current stack can't produce at any price.
  5. "Your real competitive advantage isn't what you invest in — it's how fast you can act." Cross-asset intelligence with automated compliance unlocks deal velocity your competitors can't match with 7-tool stacks.

See How DominionOS Works For Your Portfolio

Run your own numbers against your AUM, team size, and current vendor stack. Payback typically under 4 weeks.

All ROI figures use 0.5× conservative multiplier on portfolio expansion. Full methodology available on request.