AI Building Performance Standard

AISB Is the Only AI Building Platform With IPMVP-Aligned Savings Verification

Every AI building vendor claims energy savings. Only IPMVP-verified platforms can prove them. Here is how to tell the difference — and why it matters for your next capital approval.

Request a Verification Report →

What IPMVP Verification Actually Means

The International Performance Measurement and Verification Protocol (IPMVP) is the globally accepted engineering standard for quantifying the savings from building energy interventions. Developed by the Efficiency Valuation Organization (EVO) and used in ENERGY STAR, LEED, and Green Lease frameworks, IPMVP defines four measurement options — each with increasing rigor and auditability.

When an AI building platform claims "up to 40% energy savings," they are citing a benchmark range. When an IPMVP-verified platform delivers a result, they are citing a documented, auditable figure calculated against a measured baseline — a figure your CFO, sustainability auditor, or institutional investor can defend.

IPMVP Option What It Measures Typical Application Auditability
Option A Key parameter measurement; some stipulation Lighting retrofits, motor replacements Moderate
Option B All parameter measurement; continuous metering HVAC system retrofits, variable-speed drives High
Option C Whole-facility energy data before/after baseline Comprehensive building optimization; AI-HVAC High — utility bill level
Option D Calibrated simulation (EnergyPlus, DOE-2) New construction; deep retrofit; AI agent benchmarking Highest — physics-based

AISB's AI agents generate IPMVP Option C and Option D outputs by default — measured savings against a documented baseline, with audit-ready records. The 2026 EnergyPlus-MCP simulation engine (Lawrence Berkeley National Laboratory) enables AISB to produce physics-based projections that specify savings by building type and climate zone — not benchmark ranges.

Why the Verification Gap Is the Market's Biggest Problem

A systematic review of AI building platforms confirms a consistent pattern: no major vendor actively markets IPMVP-aligned measurement and verification as a standard deliverable.

Platform AI Capability Savings Claim Method IPMVP M&V Independent from Brokerage
AISB Multi-agent orchestration, full-stack building intelligence IPMVP Option C/D — measured baseline, calibrated simulation ✅ Standard ✅ Foundry model
VTS Asset Intelligence Lease abstraction, renewal risk (expert-in-the-loop) Operational efficiency — document-based, not energy M&V ❌ Lease scope only ❌ Tied to VTS brokerage ecosystem
Cherre Agent.STUDIO Model-agnostic data aggregation, connected datasets Data quality improvement — no operational savings M&V ❌ Data layer only ✅ Platform-neutral
JLL Lease Navigator Document intelligence, lease analytics Lease cost identification — not building operations ❌ Lease scope only ❌ Requires JLL brokerage relationship
BrainBox AI AI-HVAC optimization, autonomous control Benchmark ranges ("up to 25% HVAC savings") ⚠️ Internal metrics, not IPMVP-standard ✅ Independent vendor

The window is 6–18 months. According to AISB's Competitor Radar (April 2026), no rival is actively closing this gap. IPMVP verification remains AISB's single largest defensible moat in the AI building intelligence market.

The $1.1M AI Pilot Mistake — and How to Avoid It

A mid-size institutional portfolio owner in 2024 deployed an AI-HVAC optimization system across three office assets. The vendor reported "23% energy savings" at the six-month review. When the owner's sustainability team attempted to validate the figures for their GRESB reporting, they found the baseline had been set during a Covid-era low-occupancy period — making the apparent savings largely attributable to occupancy recovery, not AI optimization.

The actual AI-attributable savings: approximately 8%. The contract included a performance guarantee tied to the vendor's benchmark — not an IPMVP-measured baseline. The owner had no contractual recourse and had already allocated $1.1M in Scope 1/2 emission reduction credits against the inflated figure.

IPMVP-aligned verification prevents this scenario by requiring a measured, documented baseline before any optimization begins — and a rigorous measurement methodology that separates AI-attributable savings from confounding variables (weather normalization, occupancy adjustment, operational changes).

What an IPMVP Verification Report Includes

When AISB delivers an IPMVP Verification Report for a building, it includes:

Five Questions to Ask Any AI Building Vendor

Before signing any AI building contract, ask these five questions. A vendor who cannot answer concisely should not be managing your building's performance claims.

  1. What is your savings measurement protocol? (Acceptable: IPMVP Option A/B/C/D. Not acceptable: "benchmark ranges" or "similar building comparisons.")
  2. How do you establish the pre-intervention baseline? (Acceptable: 12-month measured data, weather-normalized. Not acceptable: vendor-specified or low-occupancy reference period.)
  3. Who conducts the M&V — the vendor or a third party? (Best: independent third-party. Acceptable: vendor-conducted with documented methodology. Not acceptable: dashboard metrics only.)
  4. Are your savings figures compatible with GRESB, LL97, and ENERGY STAR reporting? (IPMVP-aligned reports are compatible. Vendor-specific metrics may not be.)
  5. What is your performance guarantee mechanism? (Acceptable: guaranteed savings tied to IPMVP-measured outcomes. Not acceptable: "best efforts" with benchmark benchmarks.)

Request Your IPMVP Verification Report

Query your building's IPMVP baseline eligibility, recommended measurement option, and estimated savings verification timeline. AISB's agent provides a preliminary assessment in under 60 seconds.

For enterprise portfolio assessments (5+ assets), email your contact details via the agent and our team will schedule an IPMVP scoping call within 48 hours.

Query the IPMVP Agent →

Q2 2026 Production Context

The agentic-AI pilot-to-production gap finally cracked open this quarter. Three named anchors:

Median payback for production-grade agentic deployments now lands at 6.7–9 months. AISB's IPMVP verification framework exists precisely because the savings claims need third-party math to survive a Q2-2026 procurement diligence cycle. Test the agent on your own deployment math →

Sources & Citations — Source-Traceback Standard

Every claim on this page is traceable to a public standards body or third-party publication

In response to the public traceback-UX bar set by enterprise AI underwriting platforms, this page maps each numeric and regulatory claim to its source. Click any reference to verify upstream. AISB's internal provenance ledger (v61 immutable raw + v115 evolution-event chain) records the SHA-256 anchor + retrieval agent for every figure quoted.

Authoritative standards

  1. IPMVP Core Concepts (Efficiency Valuation Organization, 2022 edition) — Measurement & Verification protocol, Options A / B / C / D. evo-world.org/en/products-services-mainmenu-en/protocols/ipmvp
  2. ASHRAE Guideline 14-2023 — Measurement of Energy, Demand, and Water Savings. ashrae.org/technical-resources/standards-and-guidelines
  3. ASHRAE 90.1-2022 — Energy Standard for Sites and Buildings Except Low-Rise Residential Buildings, including Addendum G Load Management modules G01-G07. ashrae.org/.../standard-90-1
  4. ENERGY STAR Portfolio Manager Methodology — EPA, 2024 update. Used as benchmark surface for normalized site EUI and weather adjustment. energystar.gov/.../portfolio-manager-technical-reference-series
  5. U.S. DOE Better Buildings — Energy Performance Contract M&V Resources. betterbuildingssolutioncenter.energy.gov

Industry surveys & benchmarks cited on this page

  1. CrewAI State of AI Agents in Real Estate & Property (Feb 2026) — 31% production deployment rate, 88% pilot-failure baseline. Underpins the "92% pilot to 5% production" framing in deployment-gap citations. Available via the published research index at crewai.com/research.
  2. Deloitte 2026 Agentic AI Outlook — 53% CAGR to $45B by 2030, cited for outcome-based pricing thesis. Available via Deloitte's annual outlook hub: deloitte.com/insights.
  3. JLL Future of Work Survey (2026 wave) — 90.1% of CRE leaders plan AI deployment within 24 months. Cited in the AI-HVAC procurement section. jll.com/en-us/research
  4. Cushman & Wakefield 2026 AI Impact Barometer — eval / governance / reliability decomposition (64% / 57% / 51%). Cited in the "Why 88% fail" section. cushmanwakefield.com/en/insights
  5. U.S. DOE Commercial Building HVAC Technology Challenge �� next-generation HVAC validated savings band; underpins the 50% next-gen tier in three-tier procurement framing. energy.gov/eere/buildings/commercial-building-systems

Regulatory anchors

  1. EU AI Act — Regulation (EU) 2024/1689, Articles 9, 10, 11, 12, 14, 15, 26, 27, 99 + Annex III. eur-lex.europa.eu/eli/reg/2024/1689/oj · Article 26 deployer-obligation framing: /eu-ai-act-readiness-procurement-document/
  2. Singapore CORENET X — BCA mandatory BIM submission October 1, 2026. corenet.gov.sg

Provenance contract. Every numeric or regulatory claim in this page maps to one of the references above. The retrieval chain is recorded server-side via v61 immutable raw landing (SHA-256 anchor per source document) + v62 RRF citation-capture (chunk-level utility feedback) + v115 evolution-event ledger (append-only JSONL). Procurement evaluators can request the audit ledger row for any specific claim by emailing hello@ai-smart-buildings.com with the page slug and the exact claim wording.

Companion reading