Enterprise AI services · Construction and overseas engineering

Enterprise AI, from leadership buy-in to production delivery

AICOAST (上岸智源) helps construction, engineering, bidding and consulting firms put AI to work on one real project first — then scale only what passes acceptance.

4–6 weeksTypical single-scenario pilot
5Enterprise service lines
2 working hoursResponse target on business days
Enterprise classroom facing the stage
Enterprise classroom facing the stage

Five enterprise service lines, one delivery method

Wide view of a corporate AI workshop room
Workshop room in session

Why this work belongs on the agenda now

The tools are ahead of the workflows

Most firms already own takeoff, estimating or bid tools. The gap is how documents enter the workflow, how AI output is reviewed, and who accepts the result. That is a delivery question, not a model question.

Data boundaries decide what is possible

Drawings, bills of quantities, bid files and contracts are commercially sensitive. Private deployment, data residency and retention terms set the real ceiling on how AI can be used — and they need to be agreed before a pilot, not after.

Acceptance has to come before model selection

AI output is draft and prompt material. Engineers, cost engineers and bid leads remain the reviewers and signatories. Projects that define acceptance criteria first are the ones that survive production.

Overseas work raises both value and risk

FIDIC-based contract sets, multilingual technical documents and cross-border data need retrieval and workflow support. Local law and local counsel remain the authority; our tools help people find and organise, not decide.

How an engagement runs

  1. 01

    Diagnostic

    One or two working sessions with decision-makers and technical owners. Output: a shortlist of scenarios, data-readiness notes and a recommended pilot. A 'not yet suitable' conclusion is a valid result.

  2. 02

    Pilot

    One scenario, one project, one review chain. Output: workflow, prompts and SOP, test set, acceptance sheet, demonstration sample and a written review. Scope and review roles are named in the project confirmation.

  3. 03

    Project

    Multiple scenarios or departments, system integration and private deployment where required. Output: working system, knowledge base, permissions, training and acceptance report, delivered against milestones.

  4. 04

    Accompaniment

    Quarterly iteration on live use, knowledge-base maintenance, team training and capability transfer, so the method stays inside your organization.

Recommended first engagement

Start with a single, well-bounded project: the construction AI pilot

The pilot picks a single job — structuring drawing information into reviewable spreadsheets, checking drawings against your own review points, or turning site logs and meeting notes into weekly reporting drafts. Input and output stay in files, the reviewer is named, and the acceptance sheet is agreed before work starts. Quantity and cost workflows are available as assisted review only: a licensed cost engineer on your side confirms and signs.

  • One scenario and one reviewer named before kick-off
  • Files stay in your environment unless you approve a sanitised sample
  • Deliverables you can inspect: problem list, mapping sheet, draft report, review record
  • No stamping, no statutory deliverables, no accuracy claims

Scoped and quoted per project confirmation; no prices are published.

Evidence, with its authorization status attached

Demonstration sample · not a real project

Drawing-to-spreadsheet takeoff review

Built from public sample material to show input, review steps and acceptance checks. No client data is used and no performance result is claimed.

Anonymised lead

AI for Science project in optoelectronics

Carried out with a research university; project name, role and timeline are withheld pending authorization. No research outcome is claimed.

Service experience

Chief Marketing Officer agent for more than 20 SMEs

A service-experience figure only. Client list, revenue, conversion and ROI are not disclosed.

Anonymised lead

Domain model work in beauty and bio-genetics

Direction only: project roles, product names and metrics await authorization. No commercial, diagnostic or clinical outcomes are claimed.

Authorisation pending

Construction and bidding client cases

No construction or bidding client case is authorized for publication yet. Pilot records and client authorization come before any case card.

Conference stage with a large screen
Conference stage

Two industry lines

AI for Construction

Takeoff review, drafting assist, cost estimating drafts, overseas engineering support and project reporting — for contractors, cost consultancies, design institutes and owners. Available in English.

quantity takeoff reviewdrafting assistcost estimatingoverseas engineeringproject reporting
View industry

AI for Bidding

Tender document parsing, response matrices, technical-bid drafts and bid intelligence — for bid departments, agencies and public-procurement suppliers. Detailed content is available in Chinese.

tender document parsingresponse matricestechnical-bid draftsbid intelligence
View industry

Selected reading

Acceptance criteria before model selection

Why the acceptance sheet decides whether an AI project survives production. Chinese article.

What an agent needs before production

Permissions, evaluation, hand-over and rollback — the gap between a demo and a system. Chinese article.

How to sequence an enterprise AI roadmap

From scenario shortlisting to project approval and delivery. Chinese article.

A case is not a slide deck

What acceptable evidence looks like when a client asks for proof. Chinese article.

Team

Our team includes five members with PhD or postdoctoral backgrounds. Full mentor profiles and titles are published on the Chinese team page and are verified one by one before any public claim; we do not list unverified titles here. As of 2026-10-20, unverified academic or institutional titles are not used in these English pages; the same rule is being applied to the Chinese team page (see the faculty title verification report).

高源

CEO

AI 领域研究者;数位人科技 CEO(学位与职务以证书/工商信息为准)

View profile

张琪

CIO

AI for Science 与数据治理方向 授课导师;心田救援创始合伙人(待机构证明)

View profile

杨青山

CTO

技术方向负责人;Agent 架构与 FDE 方向 产业导师(学位以证书为准)

View profile

Mentor matrix (Chinese)

四步交付路径:从一次诊断到能力转移(数据图,来源:上岸智源交付方法(内部)与 www 服务页流程块)
Four-step delivery path

Talk to us

AICOAST is a Chinese enterprise AI services company. English pages cover the construction and overseas engineering line; the Chinese pages carry the full service catalog and remain the source of truth.

Initial conversations are with decision-makers, engineering or commercial leads, and IT or security owners. Bring one live problem — a takeoff review, a bid package or an overseas contract set — and we will say plainly whether a pilot makes sense.

  • Email: aicoast@foxmail.com
  • Phone: +86 184 1089 0120
  • Hours: daily 09:00–21:00 (UTC+8)
  • Response: within 2 working hours on business days; first meeting arranged within 24 hours
  • Offices: Mentougou HQ, Beijing (21F, Chang'an Tianjie office tower) and Haidian campus, Beijing (3F, Tower B, Haibo Office Building)

Frequently asked questions

Does AICOAST sell software or a platform?

We sell delivery, not software licenses: diagnostics, pilots, projects and accompaniment. We work alongside the tools your teams already use and prefer common formats such as Excel, PDF and IFC. Native engineering formats and platform interfaces are assessed per project — we do not claim official partnerships or official interfaces.

Can AI produce final engineering, takeoff or cost deliverables?

No. Our output is review material: problem lists, mapping sheets, drafts and review records. A licensed engineer, cost engineer or other qualified professional on your side reviews and signs; we do not stamp, certify or issue statutory deliverables.

Where is our data processed?

By default, drawings, bills of quantities, bids and contracts are processed in your intranet or a dedicated environment. We do not use client data to train models, and data can be exported or deleted at project end. Cross-border processing is evaluated first and agreed in writing before any overseas deployment.

Do you provide legal advice on FIDIC contracts or cross-border data rules?

No. For contract and cross-border questions we provide retrieval and workflow support — clause search, risk-point lists, bilingual document handling and draft correspondence. Legal conclusions, contract interpretation and compliance sign-off rest with your legal team, local counsel and the applicable local law.

Can you guarantee bid wins, cost reductions or accuracy?

No. We commit to process deliverables: a response matrix, a disqualification-risk list, a technical-bid draft, a takeoff review record. We do not guarantee bid results, savings, reduction percentages or fixed error rates, and we do not participate in bid rigging or price coordination.

Do you have construction client cases we can see?

Not yet authorized. No construction or bidding client case is cleared for publication at launch. We start with demonstration samples that are explicitly marked as not real projects, then pilot records, then anonymised cases, and finally client-authorized cases.

Is the English content equal to the Chinese site?

English pages cover the construction and overseas engineering line; the Chinese pages are the source of truth for all services and for company facts. Where a page is only available in Chinese, we say so and link to it rather than publish a machine translation.

How does an engagement start, and what does it cost?

It starts with a diagnostic and a written scope. Pricing is assessed by scope — scenario count, deployment shape, data preparation and review intensity — and is quoted in a project confirmation. We do not publish prices on the site; training programs are quoted separately on our Chinese training site.

Author:AICOAST Content Team(Enterprise AI delivery and research) · Reviewer:AICOAST business line lead (sign-off pending) · Published:2026-10-20 · Updated:2026-10-20 · AI-assisted draft, human fact-checked

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