Cogram — The AI Platform for Architects and Engineers

What

Cogram is an AI platform for the architecture, engineering, and construction (AEC) industry. It is designed for architects, designers, engineers, consultants, and contractors who need to manage project communication, documentation, and contract administration work more efficiently.

The platform appears positioned as an AI-native alternative to older AEC software, combining several project workflow tools in one environment. Based on the page, its core workflow includes answering project questions, analyzing documents, organizing email correspondence, handling RFIs and submittals, generating meeting minutes, and drafting field reports using firm-specific templates and existing systems.

Features

• AEC-specific AI assistant — Lets teams ask questions and analyze project documents in a workflow tailored to architecture and engineering work.
• Email management and search — Automatically files project emails and makes correspondence easier to retrieve across active projects.
• RFI and submittal workflows — Supports faster logging and review of RFIs and submittals, with stated integration to Procore.
• Automated meeting minutes — Captures and drafts minutes for virtual and in-person meetings using the firm’s own templates.
• Field report creation — Allows users to speak observations, attach photos, and generate field reports in standardized formats.
• Tool, template, and deployment flexibility — Connects with systems such as Microsoft Teams, Outlook, Zoom, Google Meet, Procore, Autodesk, Deltek, and Unanet, while supporting customer templates and multiple deployment options including private cloud or on-premises.

Helpful Tips

• Check workflow depth by role — Because Cogram serves multiple AEC roles, evaluate how well each module fits the day-to-day needs of project managers, contract administrators, site staff, and design teams.
• Validate template handling early — Since the product emphasizes drafting into firm templates, test representative meeting-minute and field-report formats before broader rollout.
• Review system-of-record boundaries — Clarify whether Cogram is intended to replace legacy tools in specific workflows or operate mainly as an AI layer alongside systems like Procore, Deltek, or Unanet.
• Assess governance and deployment needs — Firms with stricter IT requirements should verify the fit of SSO, MFA, access controls, and private-cloud or on-premises options during evaluation.
• Plan adoption around repetitive admin work — The strongest initial use cases appear to be high-volume documentation tasks, which are usually the easiest area to standardize and demonstrate value.

OpenClaw Skills

Cogram could likely fit well into an OpenClaw environment as a project-operations intelligence layer for AEC firms. Likely skill patterns include agents that monitor project correspondence, summarize open issues, extract action items from meetings, classify RFIs and submittals, and prepare structured updates for internal teams. Since the page confirms API support and multiple integrations, it is reasonable to infer that OpenClaw workflows could orchestrate data movement and follow-up tasks around Cogram, even though native OpenClaw integration is not stated.

In practice, this combination could support architect and engineer workflows such as weekly project health reviews, consultant coordination assistants, field-to-office reporting pipelines, and executive brief generation across portfolios. A likely outcome is less manual effort spent reconciling emails, notes, and logs across systems, allowing technical professionals to focus more on design, coordination, and delivery quality rather than administrative overhead.