AI

AI Cost Estimator for Construction

Automates cost estimates, material selection, orders and shipments, monitors spending and integrates data with 1C/ERP systems via API.

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Our clients

Capital Group
FSK Group
SMLT
Tochno
Dogma
Sber City
FM Logistic
Danone
Relief Center
Pandora
AI Cost Estimator for Construction
Saint-Gobain
Askona
FIX PRICE
Snezhnaia Koroleva
Muztorg
TVOE
Greenway
Polaris
Campari
Yandex
Lenta
International perfume and cosmetics brand
AI Cost Estimator for Construction
RAEC
EKF
L'Etoile
Inventive Retail Group

What estimator work includes and what the AI handles

An estimator's work breaks down into four steps: gather volumes into a schedule, match each line item with a rate from the standard database, compile the draft estimate, and check it before release. The first three steps involve reviewing and verifying large datasets, which is exactly what the AI Estimator automates: it reads specifications and technical requirements, suggests rates with justifications, and assembles the document structure.

The fourth step is not delegated. One work item can have multiple correct rates depending on technology, production conditions and customer requirements. Choosing between them, applying coefficients and expert accountability remain with the engineer: the agent provides a draft with source references, not a finished document.

Working scenarios

How AI Estimator works in Telegram and estimate software

The estimator posts a task in Telegram, receives a verifiable result, and opens it in their familiar system. Here are illustrated scenarios for creating and verifying estimates in GRAND-Smeta, Smeta.RU and 1C:Smeta.

AI Cost Estimator for Construction 01

Contractor estimate verification

AI Estimator checks 428 line items and identifies duplicates, BOQ discrepancies, and unsupported coefficients.

AI Cost Estimator for Construction 02

Local estimate verification in GRAND-Smeta

Illustrative integration scenario: agent highlights duplicates and volume discrepancies alongside the local estimate

AI Cost Estimator for Construction 03

Bill of quantities vs. site estimate comparison

The agent matches bill of works and estimate lines, highlights missing work items, volume overages, and ambiguous positions.

AI Cost Estimator for Construction 04

Project estimate verification in Smeta.RU

Illustrative integration scenario: agent shows problematic rate, FSN-2022 source, and passes line item to estimator

AI Cost Estimator for Construction 05

Tender estimate component

The agent parses work types, selects FSNB-2022 line items, and prepares an export for the estimator's review.

AI Cost Estimator for Construction 06

Draft local estimate in 1C:Estimate

Illustrative integration scenario: verified line items ready for recording, disputed items remain with estimator, action requires confirmation

What the AI estimator agent does

The agent uses documents and system data as tools within one process. Each operation records the source, status, and confirmation owner.

Creates estimates

Analyzes requirements, bill of quantities and specifications, forms the estimate structure, suggests rates, resources and volumes. Passes disputed line items to the estimator with sources.

Selects materials and alternatives

Compares project requirements, certifications, price, availability and delivery timeline. For substitutions, shows impact on estimate and need for designer approval.

Prepares orders and shipments

Verifies budget balance and supplier quotes, can split urgent needs among suppliers, prepare requisitions, and track delivery status.

Controls consumption

Links estimate volumes, orders, digital documents, site receipts, reports and work logs. Routes discrepancies to the foreman or procurement for confirmation.

Records data in accounting systems

Transmits confirmed data to 1C, ERP, WMS, and BI without re-entry. Records preserve source, user, timestamp, and operation result.

Works via API and connectors

Connects via REST, SOAP, OData, GraphQL APIs, webhooks, SDKs, file exchange, or managed connectors. Available actions depend on permissions and contract.

Materials and accounting

From material selection to recording actual data in accounting system

Illustrative sequence shows agent workflow: select alternatives, prepare urgent shipment of 80 m³ B25 concrete, identify consumption discrepancy, and record verified fact in 1C:ERP.

AI Cost Estimator for Construction 01

Material selection and alternatives

The agent compares design specifications, price, lead times, certificates, and the impact of substitution on the estimate.

AI Cost Estimator for Construction 02

Emergency shipment of 80 m³ concrete B25

The agent checks estimate stock levels and suppliers, splits the requirement into two requisitions, and passes them to procurement for approval.

AI Cost Estimator for Construction 03

Budget vs. actual material consumption

The agent reconciles the estimate, order, receipt, and write-off, then sends discrepancies to the foreman for confirmation.

AI Cost Estimator for Construction 04

Agent-driven project workflow

A single interface links the estimate, alternatives, shipments, spending, and verified record in 1C:ERP via connected systems.

Estimate creation, procurement and actuals tracking

  1. AI Estimator can start with source documents and create a verifiable estimate draft: break down work types, match line items with GESNR, FER, TSN, FSN-2022, or corporate databases, select resources, and preserve references to justifications. When verifying the completed estimate, it identifies duplicates, volume discrepancies, unsupported coefficients, and items requiring technical decisions.

  2. The agent continues the workflow in procurement and on site. For example, for the request "need to ship 80 m³ of B25 concrete today"

  3. It verifies budget balance, checks supplier availability, prepares multiple requisitions if needed, and awaits approval from the responsible party.

  4. After delivery, reconciles order, UPD, receipt, and documentation.

  5. Confirmed consumption is recorded immediately after the event, reducing manual assumptions and delayed corrections in reports.

  6. The specific integration method depends on available machine interfaces and permissions: API, webhook, SDK, file exchange, or managed connector.

  7. The agent can read data and perform authorized operations across systems while maintaining an action log and source for each result.

Roles and approvals in the process

What the AI Estimate Assistant handles

  • Draft estimate, initial review, rate selection, materials and available alternatives.
  • Reconciliation of estimate balance, supplier quotes, orders, digital acts, receipts and completion reports.
  • Preparation of requisitions and shipment requests, status tracking via available APIs.
  • Preparation of confirmed data for 1C, ERP, and WMS with source references.

Remains with the estimator

  • Interpretation of disputed rates and selection of calculation methodology.
  • Approving material substitution and deviations from design specifications.
  • Approval of estimates, orders, shipments and material changes.
  • Confirmation of actual consumption and legally binding operations.

Estimate path: from model to verified document

Model/specification → BOQ → rates → draft → verification

Source data

BIM model or specificationVolumes from model — or from designer's schedules for 2D

Quantities

Bill of worksRebuild on project changes, reference data with coefficients

Rates

Database matchingGESN, FER, TSN, FSNB-2022, company directories

Draft

Draft estimatestructure, resources, justification link for each line item

Verification

Estimator verificationmethodology, disputed items, document approval
  • No reference data or coefficients Item sent to engineer marked 'no justification'
  • Non-modeled element Volume from specification or manual calculation
  • Non-standard rate the estimator confirms the decision and justification
The agent follows the data it has access to and explicitly marks items where data is missing. Rejection branches are normal process flow, not errors: without them the draft would look complete but fail verification. From there the same workflow continues with procurement, shipment, and recording facts in the accounting system.

Assess where AI can deliver impact in your process

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Without linked data, the AI Estimate Assistant doesn't work

  1. Draft quality depends not on the AI model but on data connectivity: BOQ should rebuild when the project changes, estimate line items should reference volumes, and contracts and actuals should reference estimate items.

  2. If volumes live in separate spreadsheets and are manually transferred, the agent will receive an outdated schedule and honestly compile a draft from stale data.

  3. That's why the pilot starts with data flow verification.

  4. How the bill is assembled from the model or specification and reaches the estimate — breakdown work quantity statement; how to link the estimate, purchases, and KS-2 with the accounting workflow - in integrating TIM/BIM with 1C.

  5. Volumes calculated from model Larix and Tangl - we don't implement these products, we integrate their data into the estimate.

  6. TIM requirement mandates this approach for government contracts — see article for details "TIM is mandatory: what does it mean".

  7. Site actuals returned to the system Receipt and execution documentation, and what software covers each construction layer - in CIS construction software overview.

What the framework includes

System / layerScope of responsibility
Project and estimating systemsRequirements, bill of quantities, specifications, BIM data, GESN, FER, TSN, FSNB-2022 and corporate reference databases for estimate creation and verification.
Procurement and suppliersRemaining needs, prices, alternatives, availability, requisitions, orders, and shipment statuses via available system interfaces.
Construction site and warehouseReceipt, UPD, movement, write-off, documents, and work log for operational control of actual consumption.
AI Estimator and toolsEstimate creation and verification, material selection, operation preparation, plan-to-actual reconciliation, and API calls within granted permissions.
1C, ERP, WMS, and BIStorage of confirmed data, accounting documents, plan-actual reports, demand forecasts and change history.
Responsible employeesEstimator approves the estimate, designer approves material substitution, supply manager approves order and shipment, foreman approves actual consumption.

Implementation stages

  1. 01

    Process analysis

    Define one estimate section or work type: volume sources, regulatory bases, reference data, roles, accounting systems, available APIs and acceptance criteria.

  2. 02

    Pilot on real data

    1-2 weeks: the assistant collects and verifies the estimate for a selected section on a completed project with known verified results.

  3. 03

    Acceptance

    We compare calculations, selections, prepared operations and recorded actuals against employee decisions; the process is accepted only when employees actually use it.

  4. 04

    Scale

    We add materials, objects, suppliers, and systems using the same model: one verified process per iteration.

Payment model

Cases

AI agents in related workflows

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FAQ

Frequently asked questions

Will AI replace the estimator?

No. The agent prepares a verifiable estimate draft and performs permitted operations, leaving methodology, disputed items, and document approval to the engineer. Responsibility to expert review is not transferred.

What's the AI Estimator's accuracy?

We don't promise accuracy percentages until the pilot: the working framework is 'draft + verification.' In the pilot, the agent works on a completed estimate with a known result, and you compare its draft with the verified estimate — this is the only honest measurement.

What input data is needed?

Bill of works or designer specification, access to regulatory databases (GESN, FER, TSN, FSNB-2022) and company directories, and—for performance tracking—orders, UPD, and work logs. The agent marks unsupported line items instead of inventing them.

Does the AI Estimator work without a BIM model?

Yes. If working drawings are in 2D, the agent follows the designer's specification route: volumes come from schedules, missing data from reference data and client-side coefficients.

Which systems does the AI Estimator integrate with?

With estimating software, 1C and ERP, WMS, work logs and supplier services — via REST, SOAP, OData, GraphQL, webhooks, SDK, file exchange, or managed connector.

How are estimate and contract data protected?

Model access to documents goes through a managed LLM gateway within the GDPR perimeter: data doesn't go to unmanaged services, actions are logged, access is limited by role and operation.

What is the cost of the AI Estimator?

Estimated price: 300,000 ₽ for standard process, 1-2 weeks implementation, payment upon acceptance. Price breakdown at analyzing cost and TCO of the AI agent, you can estimate the effect on your volumes in AI implementation calculator; exact pricing is confirmed after process analysis.

Official materials on estimating software

Review date: 17.07.2026

Pilot

Verify one end-to-end scenario

We choose a completed process with known results: estimate creation or update, material selection, ordering and shipment, performance tracking or accounting record. We compare the agent's actions against your team's decisions.

  • Actual estimate and design documents
  • Order, shipment, and consumption history
  • Single accounting system or API
  • Verified result and action log
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