Escape the brown discount
→ Release the green premium

Intelli-BuildAI resolutionA single field-aligned intake instrument — Part A standard data, Part B advanced physics — feeds one asset record in a fixed order, with the unit printed beside every field so kWh, m², °C and £/kWh are never confused. Consumption is captured by fuel (grid electricity, natural gas, oil, district heating and cooling, on-site renewables and water) with the metering quality declared — AMR/smart, manual monthly, manual quarterly or estimated — so the confidence of the baseline is stated, not implied. Floor areas carry their source (imported, zone-calculated or manual) and the active GIA and NIA are held separately from the imported figures they superseded. Tariffs, grid carbon factors and EUI targets auto-populate from the regional register for the project's country and year, with the source and date stamped and any manual override flagged as such; uploaded bills, drawings and schedules are read by the document-ingestion engine and each extracted value is presented for review before it is committed. An assessor declaration binds the dataset to a named person, a date and a method. The baseline EUI, CRREM stranding year and EPC band that follow are therefore reproducible to the field, signed off, and defensible to the first lender question rather than undone by it.

Intelli-BuildAI resolutionBenchmarks are computed from the same asset record used for the baseline, climate-adjusted on the site's heating and cooling degree days and ventilation-adjusted for the strategy the building actually runs, then compared against regional, sector and top-10% peer groups drawn from the platform's building register rather than from a static table. The platform's nearby-buildings benchmark places the asset against comparable stock in its own market with the data date recorded, and the result is written back to the record with its provenance so the same comparison is reproduced on every report. The CRREM stranding year is made explicit alongside the benchmark: the asset's carbon intensity trajectory is plotted against the country-and-typology decarbonisation pathway, the crossing year is stated once, and the gap to the good-practice and top-decile figures is quantified in kWh/m²/yr and kgCO₂e/m²/yr. Alignment, the shortfall to good practice and the point at which stranding risk emerges are all visible on one page, each with its data source and adjustment named — defensible when a valuer, an ESG committee or a credit team tests them, and identical whichever member of the team runs it.

Intelli-BuildAI resolutionDeterministic design-day, zone-by-zone and dynamic TMY loads are calculated from the asset record by a single governed engine: fabric conduction through each element from its U-value and area, sol-air and glazed solar gains by orientation and g-value, internal gains from the occupancy density, lighting and equipment power densities and schedules, infiltration from the declared air permeability and test method, and ventilation on the governing standard's fresh-air rate — with latent loads resolved from the humidity setpoint rather than omitted. The sizing basis is resolved explicitly as the greater of the static design day and the dynamic simulation, recorded field by field with which one governed heating, cooling and ventilation, and the VAV total-air basis is available alongside the fresh-air basis so the fan system is sized to what it will actually deliver. Any overdesign applied to meet a minimum standard names the standard and clause that required it; design temperatures, degree days and climate zone carry their source, and any override records who set it and why. Every figure — peak kW, l/s, fabric loss, cooling gains, thermal-bridging impact — traces back to the clause and input that produced it, and an independent validation pass checks the result against the standards suite. The result is plant sized to the building, engineers who can compare options on the same basis, and an audit trail behind each number.

Intelli-BuildAI resolutionThe AI Physics Optimiser ingests the full asset record — geometry and orientation, envelope U-values, glazing ratio and g-value, air permeability, thermal mass, HVAC system type and efficiencies, heat-recovery effectiveness, lighting and equipment power densities, occupancy profiles, setpoints, schedules, tariffs and carbon factors — and produces a complete, coordinated design concept in four governed stages. First it resolves the governing loads deterministically from first principles — fabric conduction, solar gains, internal gains, infiltration and ventilation — against the project's own climate file and the binding regional standards, so the optimisation starts from a physics baseline rather than an assumption. Second it runs a coordinated fabric–plant–controls optimisation, trading envelope upgrades, HVAC efficiency, heat-recovery effectiveness, lighting power density, natural-ventilation and control strategies against one another rather than in isolation, re-solving the loads after each move so the plant is always sized to the improved building and the interaction between measures is captured rather than lost. Third it ranks the resulting measure bundles by EUI reduction, carbon saving, payback and whole-life cost under the project's own tariffs, reconciling the phased cost against the construction-cost module so the trade-off is priced rather than asserted. Fourth it emits an optimised specification — bill of quantities, BMS description of operation, equipment schedules from the live MEP catalogue and standards provenance on every line — stamped with the engine version, inputs and date so it can be reproduced. The design concept is therefore buildable, costed and standards-anchored — handed straight to procurement, not re-drawn first.

Intelli-BuildAI resolutionNon-domestic SBEM, residential SAP and Display Energy Certificate assessment all run from the same asset record that produced the baseline and the loads, so the certificate is computed from the building as it is described in the model rather than from a parallel set of assumptions. The official register is looked up where one exists and the official rating, score, certificate number, expiry and address are stored beside the platform's own assessment with the fetch date recorded, so any divergence between the two is visible and explained rather than discovered by a buyer's solicitor. Standards-driven gap reporting evaluates the project against every mandatory standard applicable to its location — selected automatically from the region and use class, with the version and verification date recorded — and names each unmet requirement, the clause behind it, the measured or modelled value that fails it and the shortfall to close. Fabric U-values are checked live against the regional code minimums as they are entered, so a failing envelope is flagged at design time rather than at certification. Performance evidence stays attached to the building rather than to a PDF, the improvement pathway to the target band is costed against the construction module, and the certificate, the operational figures and the compliance position always agree because they are read from the same record.

Intelli-BuildAI resolutionElement-and-material life cycle assessment runs against EPD data from the same asset record, taking quantities from the specification the physics optimiser produced and the areas the envelope model holds, so the embodied carbon describes the building actually being designed. Material and product factors are drawn from the platform's EPD library and the ICE database with their source and declaration date carried on every line, and the assessment covers product, construction, use-stage replacement and end-of-life modules so the whole-life position is complete rather than a cradle-to-gate fragment. Embodied carbon sits beside operational carbon in a single view: a fabric upgrade's operational saving over the holding period and its embodied cost are weighed together at the moment the decision is taken, with the carbon payback stated, and equipment options are compared on their manufacturing footprint as well as their efficiency using the equipment LCA research attached to the record. Because the LCA reads from the specification rather than from a copy of it, changing a material or a system in the design re-computes the whole-life carbon position, and the figure reported to an ESG committee or a green-finance lender is reproducible from the specification that produced it — months later, with the factors and quantities that were used.

Intelli-BuildAI resolutionWhole-life cost and net present value are computed over the modelled holding period from the same energy, design and cost information that the rest of the chain uses, so replacement cycles, maintenance schedules and tariff trajectories are assessed against the specification actually being built and the loads actually calculated for it. Capital cost is taken from the construction-cost module rather than re-estimated, energy cost from the modelled consumption at the project's own tariffs with the escalation assumption stated, and replacement and maintenance from the equipment's declared lifecycle and warranty data with the year of each replacement made explicit. The discount rate, analysis period, escalation rates and residual-value treatment are recorded as inputs on the result, and the sensitivity of the NPV to each is shown so the decision-maker can see which assumption carries the outcome. Longer-term trade-offs come into view at decision time — the higher-capital, lower-operating option is compared on total cost of ownership beside the cheaper alternative, with the crossover year stated — and the figure a board sees can be recomputed from the record months later, with the inputs that produced it, rather than reconstructed from a spreadsheet that no longer exists.

Intelli-BuildAI resolutionNRM1 element build-up, roll-up, indexation and scenario cost control are anchored to the same asset record and specification the physics produced, so the cost project is linked to its source project and its shared fields — name, client, floor area, currency, location — are synchronised from it rather than re-typed, with any deliberate override recorded as such. Line items carry their source: extracted from a tender pack or bill of quantities by the document analyser with the brief it was anchored to recorded, entered manually, or re-rated against an accepted resource basis from the resource library, with the resource, the old rate and the new rate written to the scenario's provenance on every re-rate. Rates are indexed to the base date with the index series named, benchmarks are drawn from the cost-benchmark register for the location and building type, and traditional and smart-building scenarios are priced side by side on the same scope. Because cost is related to the performance intent it exists to deliver, a value-engineering move shows its energy, carbon, EPC and lifecycle consequence before it is signed off: removing the heat-recovery line flags the change to the ventilation load and the EUI, not just the saving. Tender returns are compared against an estimate built on the same specification, and every figure in the cost plan can be traced to the document, resource or rate that produced it.

Intelli-BuildAI resolutionThe funding module researches grant, loan and incentive programmes for the project's region, building type and planned measures against the live opportunity register, with eligibility, deadlines and the evidence each programme requires stated, and a daily sweep keeps the register current. Every funding source applied to the project is recorded per programme — provider, funding type, amount and, for loans, the interest rate, term, monthly payment, total repayment and total interest — so the headline total always equals the sum of its attributed parts and grants are never silently conflated with debt. Applications are tracked through status and decision dates alongside the evidence documents and the costed measures they were raised to fund, so the link between a grant and the work it pays for is a record rather than a memory. Removing or adding a programme recomputes the funding position and the residual capital requirement rather than invalidating the total, and the whole breakdown flows into the financial model so the return on the sponsor's own equity is computed net of the funding actually secured. When a funder or auditor asks what was claimed, against which measures, with what evidence, the answer is printed from the record.

Intelli-BuildAI resolutionConnected building, energy, cost and funding information is carried through into financial reporting from the one asset record, so IRR, NPV, debt-service and covenant headroom, loan-to-cost and loan-to-value, Basel III exposure classification and indicative risk weight, and funding attribution are all computed from — and reproducible against — the same figures the engineer and the cost consultant used. The energy saving in the return comes from the modelled loads at the project's tariffs, the capital cost from the linked cost project, the funding net of the attributed programmes, and the green premium from the canonical engine against dated, sourced market data that is flagged stale the moment the register moves. Sensitivity and stress tests run across the stated assumptions with each row's derivation explained, the policy snapshot in force at the time of the decision is preserved with the result, and every recalculation records the engine version and inputs that produced it. The lender's due-diligence portal, the credit-committee report and the board report are all rendered from the same record, so the engineer's load calculation and the lender's covenant test read identical figures — an auditable line from the meter reading to the credit paper, and the transactional certainty that lets the transition be financed at the price it deserves.