Agentic AI × computer vision × construction
State Method designs and builds custom AI agents and computer-vision systems for construction companies, contractors, consultants and ConTech product teams. The work starts with one document-heavy or visual operational workflow and takes it from evidence to a controlled pilot and, when justified, a production system.
These are not unrestricted autonomous employees. Each system operates inside defined permissions, deterministic checks, named human approval, traceable events and a recoverable failure path.
AI agents for construction
An AI agent for construction reads the approved project information a workflow already uses, such as drawings, specifications, RFIs, submittals or site photos, and prepares a proposal: a cited finding, a checked project record or a draft report. Software rules check the proposal, and a named person decides what is issued.
State Method builds these agents for construction companies with one repetitive, document-heavy or visual workflow that needs evidence before anyone commits to a build. The work starts with a 10-day Diagnostic of that workflow, and a pilot follows only when the evidence supports it.
An AI agent does not replace professional or regulatory sign-off.
AI agents in construction
Three common starting points for AI agents in construction are site progress monitoring, work that touches the ERP or project systems, and commissioning and handover evidence. In each one the agent prepares the work, software rules check it and a named role approves it.
The agent groups authorized site notes, photos and video by area and trade, describes visible progress and drafts issues and follow-up items. Software checks that each capture falls inside the reporting period, has a location reference and links to its media. The Site Manager verifies the observations and approves the report.
Output A progress report draft in which every observation links to its evidence.
See the site progress reporting example →Whether an agent can work with a construction ERP, document system or project platform depends on the APIs, permissions and data quality available. State Method reviews those first. A pilot runs against a sandbox or staging environment with the smallest set of integrations the workflow needs, and nothing is recorded in the system of record before a named approval.
Output Checked and routed project records with a decision history, not unreviewed writes.
See the RFI and submittal intake example →At closeout, the agent classifies incoming O&M files, certificates and registers, matches them to the handover schedule and summarizes gaps and duplicate candidates. Software checks that every required deliverable has a status, file versions are approved and certificate dates are valid. Missing mandatory evidence blocks issue until the Handover Manager resolves or accepts it.
Output A handover index that keeps every missing certificate or document visible.
See the handover document preparation example →The linked examples use synthetic project evidence. They show control patterns, not client deployments, and an agent does not replace commissioning, professional or regulatory sign-off.
Construction workflows
The best starting point is a repetitive process with representative documents or project evidence, a measurable manual baseline and a named person who owns the outcome. State Method maps the complete path rather than adding a model to one isolated step.
The workflow does not need to match an existing example. Assessment begins with its real inputs, systems, exceptions and approval boundary.
Flagship demonstrations
These interactive reference workflows use synthetic project evidence. They demonstrate system behavior and control patterns rather than client deployments or guaranteed performance.
Reads a controlled drawing package and schedules, surfaces revision conflicts with source references, runs fixed checks and waits for an authorized review decision before issuing a record.
Output An evidence-linked drawing review with visible exceptions and approval.
Explore the drawing agent →Turns site notes, photos and video into a structured progress-report proposal while preserving location uncertainty and Site Manager authority.
Output A reviewable site report draft linked to the available visual evidence.
Explore the site vision agent →Checks incoming RFI and submittal emails, attachments and project references, prevents duplicate or invalid records and routes exceptions without answering or approving them autonomously.
Output A checked and routed project record with a reconstructable decision path.
Explore the workflow agent →Agent definition
For State Method, an AI agent is a bounded software participant. It can interpret approved project information, prepare a proposal and use explicitly permitted tools. It cannot silently expand its own authority or treat a plausible answer as an approved action.
Extract, classify, compare, summarize, identify uncertainty and prepare a cited draft or recommendation.
Output A bounded proposal linked to its available evidence.
Validate inputs, enforce business rules and permissions, control state transitions, record events and block invalid actions.
Output An observable workflow that only advances through valid states.
Review consequential outputs, resolve exceptions and approve, correct, reject or stop the proposed action.
Output A named owner remains accountable for the operating decision.
Use timeouts, safe retries, idempotency, escalation and manual fallback to return failed work to a known state.
Output Failure is visible and recoverable instead of silently passing as complete.
Reference architecture
The exact architecture depends on the workflow and existing systems. Retrieval, a knowledge graph, MCP or another agent protocol is used only when it solves a demonstrated requirement, not as architecture theatre.
A workflow may stop earlier in this path. Not every use case needs retrieval, tools or external action.
System scope
Verified delivery experience
The public project evidence documents production integration across construction plan processing, AI pipelines, application software and AWS infrastructure. State Method names a platform only when a linked source supports the claim.
No production experience with an unlisted AEC platform is implied. A platform is named only when a linked project source verifies the integration.
Enterprise readiness
Enterprise readiness is defined against the client’s actual environment rather than implied by an AI demo. The Diagnostic records the requirements. The pilot tests the smallest credible operating boundary before production hardening.
This page does not claim security certification, formal software partnerships or prior integration with a named construction platform unless a linked case study documents it.
Relevant evidence
State Method is led by Hugo Sequier. His documented construction work covers technical-document intelligence, floorplan computer vision, deterministic verification, site-video interpretation, report drafting and production software. The selected-work pages preserve the original project context and source-reported results.
A historical client platform connecting document intelligence, floorplan analysis, verification actions and a review interface. It is not a State Method product or a company owned by Hugo.
A production pipeline connecting PDF intake, polygon extraction, deterministic accessibility and fire-safety checks, and reporting. The source reports a 30% productivity increase in that historical project context.
A multimodal pipeline that extracts evidence from construction-site video and prepares a structured report draft for office review. The source reports about three hours saved per report project.
These projects were led by Hugo before State Method launched. Their results are evidence of relevant engineering work, not forecasts or guaranteed outcomes for another company.
Engagement path
In 10 business days, bound one workflow, inspect representative evidence, define permissions and recovery, and decide whether a pilot is justified. The engagement fee is €4,000 excluding VAT.
Output Five decision artifacts and a reasoned go/no-go recommendation.
Build the smallest useful version with real tools in a controlled environment. Test model behavior, software checks, human review and failure recovery against acceptance criteria.
Output Working evidence for a production, change or stop decision.
Harden only the proven scope. Define production access, integrations, monitoring, evaluation cadence, incident handling, recovery and operational ownership.
Output A bounded production system with explicit operating responsibility.
Progression is not automatic. A useful result can be to narrow the design, gather better evidence, keep the process manual or stop.
FAQ
The Diagnostic is €4,000 excluding VAT for one controlled workflow across 10 business days elapsed, with approximately five delivery days. It produces five decision artifacts and a reasoned go/no-go recommendation, and there is no obligation to continue.
Existing software may be enough if it supports the workflow, required integrations, permissions, human review and recovery. Custom development is worth evaluating only when a specific workflow gap remains and its value can be measured. The Diagnostic tests whether one bounded workflow justifies a pilot; a valid recommendation can be to keep the process manual or stop.
Yes. State Method can design and build a custom agent around one defined construction or ConTech workflow. The scope includes the surrounding software controls, integrations, review interface, logging and recovery behavior required to operate it responsibly.
Yes. The relevant buyer may be a contractor, consultant, technical services company or ConTech product team. The important requirement is a bounded operational workflow with an owner, representative evidence and a result that can be reviewed.
Potentially. State Method first reviews the available APIs, permissions, data quality and action risks. A pilot uses only the smallest set of integrations needed to test the workflow safely.
No. State Method does not offer AI professional or regulatory sign-off. Models may prepare findings or drafts, while the appropriate named person retains authority for consequential review and approval.
No. You need a real workflow, an operating owner and representative examples. An existing prototype can be reviewed, but the decision depends on its evidence rather than how mature it is described.
Continue with the evidence
Construction AI assessment
Describe the current process, the documents or project evidence involved, the expected outcome and the person who must review it. Do not send confidential material through the public form.