Trained on the frameworks that run MBB engagements. Grounded in cited benchmarks across twelve industries. Every number sourced or disclosed — no unsourced specifics, ever.
Senior-consultant reasoning for operating decisions.
Industries
Frameworks
Benchmark tiers
Citation rate
The four moves every senior partner runs — compressed into a conversation and grounded in your operating reality.
Aria interviews operators, reads your data, and maps the operating picture through MECE issue trees and hypothesis-driven problem solving.
Patterns are framed qualitatively. Specific figures carry named sources — BLS, the Federal Reserve, APQC, McKinsey Global Institute, Gartner, IBISWorld. Nothing fabricated.
Findings land as executive readouts — Pyramid Principle top-down, governing thought first, evidence beneath. Every insight audit-ready.
Shortlisted interventions ship as agents or workflow changes. Aria measures lift from day one and surfaces regressions before they compound.
Every sector ships with its own benchmark panel, regulatory frame, and the operating vocabulary operators actually use. Sub-sectors map internally to NAICS — switching from a paint manufacturer to a specialty chemicals operator is a parameter change, not a model change.
Throughput constraints, OEE gaps, supplier concentration risk.
Benchmark panel
APQC PCF, ISM PMI, BLS productivity indices
Onboarding cycle time, compliance lift, cost-to-income ratios.
Benchmark panel
Federal Reserve, Deloitte Global CFO, IMF FSI
Staffing gaps, revenue cycle leakage, prior-auth friction.
Benchmark panel
CMS, HIMSS, AMA, KFF Employer Health
Gross margin compression, NRR deceleration, GTM payback.
Benchmark panel
OpenView SaaS Benchmarks, Gartner IT spend
Inventory turns, shrink, promo effectiveness, channel mix.
Benchmark panel
Nielsen, Census retail trade, NRF
Outage response, workforce scheduling, regulatory latency.
Benchmark panel
EIA, FERC filings, ISO/RTO market data
Utilization, realization, bench cost, engagement margin.
Benchmark panel
APQC, SPI Professional Services Maturity
Empty miles, dwell, on-time delivery, driver retention.
Benchmark panel
BTS, Cass Freight, DAT market data
Engagement decay, content ROI, subscriber churn.
Benchmark panel
Nielsen, Parrot Analytics, SNL Kagan
Schedule slippage, RFI cycle, occupancy and cap rates.
Benchmark panel
CBRE, NAIOP, Census construction spend
Enrollment funnels, cost per outcome, faculty utilization.
Benchmark panel
NCES, OECD PISA, EDUCAUSE
Cycle time on constituent services, cost per outcome.
Benchmark panel
GAO, OMB, IRS Form 990 aggregates
Forty-plus frameworks encoded directly into Aria's reasoning layer. The same toolkit a senior partner reaches for when a CEO asks a hard question — applied consistently, explained plainly, never name-dropped.
A curated exchange — operator prompt, MECE issue tree, cited benchmark, your-data anchor, and the priority queue. Every branch labelled with its tier.
Aria
Senior consultant · reasoning in MECE
Three candidate branches. I'm starting with the one your data already points at.
Your bottleneck isn't demand. Three lines share the same hydraulic press. Changeover time has drifted from 28 to 41 minutes over eight weeks.
Root-cause tier — Pattern-level framing
APQC median setup-change for discrete industrial manufacturing at your scale is 19 minutes (APQC Process Classification Framework, 2024 panel).
Benchmarks tier — Cited figure
You mentioned in April that 2nd-shift utilization fell to 71%. The gap to the 92% you were running in Q3 closely mirrors the changeover drift window.
Your data — user-shared input
What to do in the next two weeks
Most AI systems invent plausible figures when pressed. Aria won't. The model is constrained at the system-prompt level to operate in three tiers — and every output is readable as one of them.
Hedged qualitative framings.
When no named source applies, Aria frames operating reality as a pattern — not a fabricated number. “Operators in this segment typically see…” Never “37.4%.”
“Mid-market industrial manufacturers generally report elevated setup-change waste as batch sizes shrink.”
Specific figures carry named sources.
Every concrete number attaches to a named publisher: BLS, the Federal Reserve, APQC, McKinsey Global Institute, Gartner, IBISWorld, HIMSS, CMS, EIA, BTS, Census, OECD. Unsourced specifics are rejected by the prompt.
“BLS reports manufacturing labor productivity rose 2.1% YoY in Q3 2025 — your segment has lagged the index by roughly 90 bps.”
Numbers you shared, referenced back.
Anything the user surfaces becomes first-class context — attributed to the user, timestamped, and used as the anchor for comparative claims against Tier 2 figures.
“You mentioned DSO of 58 days in April. APQC median for your sub-sector is 42 — that gap is where the cash is.”
Eighteen public-record and industry panels at launch. Proprietary panels expand in V2 once engagement-level data accumulates under consent.