Engineering & construction

AI workflow automation for engineering and construction teams

Reduce the time spent sorting tenders, extracting deadlines, updating trackers and following up on project documents, with human approval before important actions.

Tender pack · wireframe

Controlled intake path

Extraction runs; consequential writes wait for approval.

Awaiting approval
  1. Receive

    Email / PDF

  2. Extract

    Fields & dates

  3. Flag gaps

    Low confidence

  4. Approve

    Human gate

  5. Record

    Tracker + log

Audit record · sample data

Pending · Ops lead · tender #T-4821 · tracker write gated

  1. Receive: Email / PDF
  2. Extract: Fields & dates
  3. Flag gaps: Low confidence
  4. Approve: Human gate
  5. Record: Tracker + log

Working demo

One measurable workflow: tender intake through extraction, approval and operational records.

Working prototype using fictional engineering tender data, not a customer result.

Screen recording · ~1 minute
Narrated walkthrough

Prefer to click through the same workflow? Open the interactive prototype.

Problems we solve

Bounded operational work, not a platform pitch.

  • Tender and RFT intake

    Inbox to structured pack

  • Document classification and data extraction

    Fields, types, confidence

  • Tender deadline tracking

    Closing dates surfaced early

  • RFI and compliance-document triage

    Route gaps before they stall

  • Project-status reporting

    From folders to a readable brief

  • Quote and enquiry handoffs

    Clean pass to the right owner

Before and after

Same documents. Different path from inbox to tracker.

Before

Step 3/5
  1. 1

    Tender email arrives

  2. 2

    Employee reads documents

  3. 3

    Copies details into spreadsheet

  4. 4

    Creates reminders

  5. 5

    Follows up manually

After

Step 6/6
  1. 1

    Tender received

  2. 2

    Information extracted

  3. 3

    Uncertainty flagged

  4. 4

    Human approves

  5. 5

    Tracker and tasks updated

  6. 6

    Activity logged

Safety boundaries

Reliability is visible: approvals, limits and an audit trail.

CogMind AI:

  • Does not invent missing tender terms

  • Does not submit bids automatically

  • Does not make commercial commitments

  • Requires approval for consequential actions

  • Records what was extracted, approved and changed

Ready to review one engineering workflow?

A focused conversation on tender intake, approval points and where your trackers should receive the record.