Work log and photo record summary

Foremen fill in the site diary in Procore or Excel and send photos to Teams, and on Friday the project manager writes the client's weekly report from scratch. AI summarises the entries and photos into a report with deviations from the Microsoft Project schedule and material shortages, and the manager reviews and sends it.

Built for ISO 27001NIS2 DORA

Work log and photo record summary
  • Connecting the data sources
  • Report template for the client
  • Photo description archive

A weekly client report prepared from the Procore diary and Teams photos

  • Every week a summary from the Procore diary and Teams photos
  • Photos described and matched to diary entries
  • Template delays against the Microsoft Project schedule
  • The manager reviews the assessments and sends it personally

Information builds up on site every day: the foreman records in the site diary in Procore or Excel what was done, how many people worked and which materials arrived, sends photos to the site's Teams channel or Viber, and sometimes writes notes in an email. On Friday the project manager has to turn this into a weekly report for the client: what was completed against the Microsoft Project schedule, what is late and why, which questions are waiting for the client's decision. They read the diary, flip through the photos, recall what the foreman said and write. It takes several hours every week for every site, and when there are several sites, reports are late or become a formality.

Each week the solution collects the site diary entries from Procore through the API or an export, or from Excel on SharePoint, the photos from the agreed Teams channel or SharePoint folder, and the foremen's notes from email. It summarises the entries by type of work and compares them with the Microsoft Project milestones that you export or keep on SharePoint. It analyses the photos and describes what they show: which structure, which stage of work, whether there are obvious deviations, for example uncovered materials, missing safety elements or unfinished work that the Procore diary marks as complete. The summary is prepared in your report template: completed work, delays against the schedule, observations from photos, material shortages, questions for the client. The project manager reviews it in Teams, corrects the assessments and sends it personally; the solution sends nothing to the client. We implement it through the ChatGPT API with image analysis on the OpenAI platform, where your photos and entries are not used for model training, and integrate with Procore through the API, file export or an email flow, depending on the version. If you prefer, we implement the same solution with Claude through Amazon Bedrock in an EU region.

How it works

Four steps from input to a record in your system, with human approval wherever there is risk.

Collecting the week's data

At the agreed time the solution takes the site diary entries from Procore through the API or an export, or from Excel on SharePoint, the photos from the site's Teams channel or SharePoint folder, and the foremen's emails. Foremen have nothing extra to fill in; they work as they are used to.

What you get

Connecting the data sources
Connecting the data sources

Connecting the Procore or Excel diary, the site's Teams channel, the SharePoint folder and email into one weekly flow for each site, with the Microsoft Project schedule for comparison.

Report template for the client
Report template for the client

A summary structure that follows your form or the one the client requires, with sections for completed work, delays against the schedule, observations from photos and questions.

Photo description archive
Photo description archive

Every photo with a date, a location, a description and a linked Procore diary entry on SharePoint, useful in the event of disputes or warranty questions.

Notifications and support
Notifications and support

Same-day Teams notifications about serious deviations, support through the first reports and refinement of the template based on the client's feedback.

What we build it with

ChatGPT through the API with image analysis + Procore or Excel diary + Teams photos + Microsoft Project schedule. We choose the integration method with Procore after checking your version. Read more about this service and its limits on the service page.

Frequently asked questions

Can AI really see that work in a photo is not finished?

The model describes what is visible in the photo and can notice obvious things: uncovered rebar, missing railings, unfinished masonry. It does not carry out technical supervision and does not measure quality. All observations are presented as questions to the project manager, who checks them and decides what to write to the client.

Does it work with Procore and Microsoft Project?

Yes. We take diary entries from Procore through the API, a file export or an email flow, depending on your version, and the Microsoft Project schedule through an export to SharePoint or Project for the web data. We choose the integration method after a check at the start of implementation. If you keep the diary in Excel or on paper, the solution also works with photographed pages.

Will the client receive the report automatically?

No. The summary always goes first to the project manager in Teams, who reviews it, corrects it and sends it personally. The client receives a document from you, with your assessments and your responsibility, and AI only saves time in preparing it.

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Expertise confirmed by certifications

This service is delivered by specialists with valid international certifications. Their expertise is confirmed by independent organisations, not by us.

All certifications
  • AISP badge
    AISP PECB

    Artificial Intelligence Security Professional

    AI systems are deployed with protection against data leakage and model abuse.

  • AAISM badge
    AAISM ISACA

    ISACA Advanced in AI Security Management

    The AI security programme and its controls are managed following the ISACA methodology.

  • AAIR badge
    AAIR ISACA

    ISACA Advanced in AI Risk

    AI risks are identified and managed like any other IT risk.

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