Decision Intelligence

Decision Intelligence for
Operations Teams

An AI analyst that does the data-heavy grunt work across any operational domain — root cause investigations, performance benchmarks, evidence-backed reviews — so your team spends less time in spreadsheets and more time on the judgment calls that actually move the business.

Hours→Min
Operational Reviews
100%
Grounded in Your Data
No SQL
Required From Your Team

Built for operations, portfolio, supply chain, and category teams that need answers grounded in data

Every Claim Verified
Operational + Market Data
Causal Root Cause Analysis
Full Decision Trail
Portfolio Diagnostic — Live Feed this morning, 7:15 AM
07:15 Portfolio Ops Analyst starting 100-day diagnostic for Acme Co…
07:15 Pulling EBITDA data across 12 portfolio companies, 8 quarters
07:16 ⚠ Acme Co EBITDA margin down 340 bps vs. LBO model
07:16 Running root cause decomposition on margin compression…
07:17 Found: SG&A growth 2.1x revenue growth in last 3 quarters
07:17 Performance Analyzer decomposing labor vs. overhead…
07:18 Labor costs up $2.3M YoY, output flat — efficiency deterioration
07:18 Flagging 3 business units for operational review
07:19 ✓ 100-day diagnostic ready — EBITDA attribution, root causes, actions
07:19 ✓ Briefing ready — 6 findings, 4 action items, est. $1.8M EBITDA recovery opportunity
See It In Action

From question to root cause with full evidence trail

Real investigation output — causal reasoning, counterfactual proof, and actionable recommendations, all grounded in your data.

app.rqvst.net/investigations/ebitda-compression-diagnostic
RQVST investigation report showing PE portfolio EBITDA compression root cause analysis with causal tree, counterfactual reasoning, and value creation plan

PE portfolio diagnostic — EBITDA compression root cause with causal tree, counterfactual, and recovery plan generated in minutes

Operations decisions shouldn't depend on how fast your analysts can pull data

Operations, portfolio, and category teams face the same structural problem: the data needed for a decision lives across multiple systems, pulling it together is manual, and by the time the analysis is ready, the window has narrowed.

Decision Cycles Are Too Slow

Pulling data, reconciling sources, running calculations, and formatting a review burns days of analyst time before the actual decision conversation even starts.

Every Cycle Starts from Scratch

Analysis from last quarter lives in a one-off deck or email thread. When the next review arrives, teams rebuild the same analysis from the same raw data with no memory of what they already found.

Operational Context Never Compounds

Root causes identified in one review don't carry into the next. Teams keep rediscovering the same drivers because there's no institutional memory between decision cycles.

Decision intelligence built for how operations teams actually work

RQVST does the analyst's grunt work — data pulls, root cause decompositions, performance benchmarks, evidence-backed reviews — so your team focuses on the judgment and strategy that actually drives results. Ask in plain English, get answers grounded in your data.

Deep Investigation on Demand

Ask a complex operational question and get a full multi-step investigation: data pulls, decompositions, benchmarks, and root cause analysis — all in one pass.

From question to root cause in minutes

Performance Benchmarking

Automatically compare performance across units, suppliers, categories, or time periods. Flag outliers, quantify gaps, and rank contributors by impact.

Always know where you stand

Evidence-Backed Answers

Every claim is verified against actual query results from your data. When RQVST says margins compressed 340 bps, it shows you the exact query and source rows behind it.

Zero hallucinated numbers

Causal Decision Traces

RQVST traces the causal chain from signal to root cause — not just "margin is down" but why, from which driver, and where to act first.

Root cause, not just symptom

Institutional Memory

Every analysis, finding, and recommendation is logged. When the next review cycle starts, RQVST recalls what was already found so context compounds instead of resets.

Learnings compound, not repeat

Operational Review Automation

Pull performance data, run standard calculations, and produce a structured review scorecard automatically. Works for portfolio diagnostics, vendor reviews, and category scorecards alike.

Reviews in minutes, not days

From operational question to confident recommendation

1

Connect Your Data

Connect your operational, financial, and market data. RQVST maps your data model so your team can ask questions in plain English — no SQL, no exports.

2

Ask or Investigate

Ask a quick question or launch a deep investigation. RQVST pulls the data, runs the calculations, and verifies every number against source queries before surfacing an answer.

3

Review the Evidence

Get structured findings with a full causal trace: what happened, why, and which driver to act on first. Every claim links back to the underlying data rows.

4

Decide & Learn

Act on recommendations and track outcomes. RQVST remembers what worked so your next review cycle starts smarter than the last.

Built for the decisions operations teams make every week

RQVST handles the analysis behind portfolio reviews, vendor meetings, supply chain triage, and category decisions — so your team spends less time pulling data and more time making calls.

100-Day Diagnostic

Decompose EBITDA variance, identify operational gaps, and build an evidence-backed improvement roadmap within the first 100 days.

"What's driving the margin gap vs. our LBO model at Acme Co?"

Portfolio Benchmarking

Rank portfolio companies by EBITDA margin, growth, and operational efficiency. Surface which companies are underperforming vs. peers and why.

"Rank our portfolio by EBITDA margin and show me the top 3 operational drivers"

Exit Narrative Prep

Quantify value creation since acquisition, attribute improvements to specific initiatives, and build an evidence-backed story for the exit process.

"Show me EBITDA improvement attribution since our acquisition of Acme Co"

Operational Triage

When a portfolio company signals distress, quickly decompose what's driving it — volume, pricing, cost structure, or mix — before the next board call.

"Acme Co revenue is down 12% this quarter — what's the root cause?"

Fill Rate Root Cause

Decompose aggregate fill rates to the supplier and SKU level. Identify which shortfalls are driving the most lost revenue and where to act first.

"Which suppliers are responsible for our fill rate gap and what's the revenue impact?"

Inventory Health Review

Identify overstock, understock, and slow-moving inventory by SKU, location, and category. Quantify working capital tied up in excess inventory.

"Show me which SKUs have more than 90 days of cover and what it's costing us"

Supplier Scorecard

Evaluate supplier performance on fill rate, on-time delivery, margin contribution, and trend. Rank before vendor negotiations or sourcing reviews.

"Rank our top 10 suppliers by fill rate and on-time delivery before the line review"

Lost Sales Attribution

Reconcile supplier undelivered units against realized lost sales, accounting for inventory buffers and demand variation. Quantify the true revenue impact.

"How much revenue did we lose from supplier shortfalls this quarter?"

Quarterly Category Review

Share trends, price index, sell-through rates, and assortment health in one automated scorecard. From question to briefing in minutes.

"Build a Q4 category review with share, pricing, and performance analysis"

Performance Post-Mortem

Measure sell-through, markdowns, and margin impact across campaigns and seasons. Compare performance across periods and identify what drove results.

"Which campaigns drove revenue without diluting gross margin this season?"

Price Benchmarking

Compare prices against competitive sets by matching items on hierarchy, attributes, and price tier. Flag outliers and quantify the gap to the competitive set.

"Show me where we're priced more than 10% above the category average"

Assortment Rationalization

Score every item on revenue contribution, margin, turns, and growth. Identify underperformers for exit and quantify the working capital you can free up.

"Which items should we exit based on margin, turns, and growth trend?"

Not another dashboard — decision intelligence that works for your team

BI tools show you charts. RQVST does the analyst's grunt work — pulls the data, runs the calculations, traces root causes, verifies the numbers — so your team spends less time wrangling data and more time on the strategic thinking that wins reviews, board meetings, and vendor negotiations.

  • Domain-native skills — pre-built analytical frameworks for PE portfolio diagnostics, supply chain analysis, price benchmarking, sell-through, and more
  • Grounded in your data — every claim verified against source queries from your operational, financial, and market data
  • Causal reasoning, not just correlation — traces the decision chain from signal to root cause so you act on the right lever
  • No SQL required — ask in plain English, get analysis-ready answers any operations or category manager can use

Today's Process

Export data, clean in Excel

Manually reconcile across systems

Rebuild analysis every review cycle

Operational review takes 2–3 days

Past findings lost between cycles

With RQVST

Ask a question, get verified answers

Data pulled and reconciled automatically

Root cause traced end-to-end

Operational review in minutes

Institutional memory that compounds

Ready to run decision intelligence on your operations team?

Join the private beta and see how RQVST can cut your operational review prep from days to minutes — grounded in your own data, with a full causal trace on every finding.

Private beta open for operations, portfolio, supply chain, and category teams. No credit card required.