AI Readiness & Implementation

AI for Preconstruction, Proposals & Project Execution

A phased roadmap for how CLAY can adopt AI in a practical, high-value way — built around how the team already works, not a system overhaul.

3
Phases
120
Day Plan
8
Use Cases

Why AI Matters
for Clay

The opportunity is to build a disciplined AI-assisted operating layer around the work CLAY already does — not just use ChatGPT more.

Time Savings

Go from meeting to clean summary and next-step package in 15–30 minutes instead of hours.

🎯

Fewer Dropped Details

Every major meeting gets a same-day recap. Fewer notes lost. Fewer action items slipping through.

Faster Responses

Proposals, RFPs, follow-ups, and bid packages generated faster — without sacrificing quality.

🤝

Internal Alignment

Standard summaries, templates, and project memory mean the whole team works from the same playbook.

📊

Leadership Visibility

AI-powered dashboards let leadership see project state without chasing down notes.

🏗

Client Experience

Faster communication, cleaner deliverables, and professional project portals that set CLAY apart.

Crawl · Walk · Run

A phased approach that gives CLAY immediate wins, reduces resistance, and creates a clear path toward real operational leverage.

🟢

Crawl — Capture & Summarize Faster

Build confidence and speed with meeting capture, summaries, and follow-up. AI helps CLAY move faster on admin, synthesis, and communication.

Use Cases Core

  • Meeting summaries — decisions, questions, risks, next steps
  • Follow-up emails to clients, architects, consultants
  • Action item logs organized by owner, architect, CLAY team, subs
  • Meeting preparation — agendas, unresolved questions, pre-reads
  • Personal AI onboarding playbook for Dylan

Workflow Daily

  • Record meeting in Otter
  • Export transcript + audio
  • Upload both to ChatGPT
  • Ask for summary, next steps, questions, follow-up email
  • Review and edit outputs
  • Send or save in project folder

Tools Required

  • Otter — meeting recording & transcription
  • ChatGPT — synthesis, summaries, drafting

Success Metrics

  • % of major meetings recorded
  • % of meetings with same-day recap
  • Avg. time from meeting end to first summary
  • Number of reusable prompts created
  • Hours saved on follow-up admin
🔵

Walk — Standardize & Systematize

Move from one-off AI assistance to repeatable internal workflows for precon, proposal support, owner communication, and organization.

Use Cases Core

  • Proposal & RFP support — scope breakdowns, outlines, gap analysis
  • Internal bid package generation — trade lists, risks, assumptions
  • Standard project memory — meeting logs, decisions, risks, deadlines
  • Client & partner reporting — status updates for owners, architects, lenders
  • Reusable project templates for all major deliverables

Workflow Per Project

  • Record and transcribe meeting
  • Use ChatGPT for first-pass summary & documents
  • Save outputs into project-specific AI workspace
  • Use Claude to package into dashboards or structured docs
  • Build repeatable templates from outputs
  • Reuse the format on the next project

Tools Required

  • Otter — recording & transcription
  • ChatGPT — synthesis, summaries, drafting
  • Claude — packaging, dashboards, structured output
  • Shared storage — project folders & file organization

Success Metrics

  • Repeatable workflows documented
  • Projects using a standard AI setup
  • Reduction in time to create proposals
  • Reduction in missed scope items
  • Improvement in internal response time
🟣

Run — AI-Integrated Operations

Use AI as a true operating layer across proposals, dashboards, communication, and decision support. CLAY starts operating differently than competitors.

Use Cases Core

  • RFP / proposal microsites with intake forms
  • AI-assisted proposal routing & response handling
  • AI-powered project dashboards — logs, decisions, risks, docs
  • Email & calendar integration — drafts, reminders, scheduling
  • Process automation by department — precon, estimating, closeout

Workflow Operational

  • Capture meeting or opportunity data
  • ChatGPT for first-pass synthesis
  • Claude to build structured project assets
  • Publish project site or dashboard
  • Connect outputs to storage, email, internal workflows
  • Reuse the system for each new opportunity

Tools Required

  • Otter + ChatGPT + Claude — core AI stack
  • Project dashboards — lightweight web portals
  • Email / calendar — connected workflows
  • Proposal systems — intake and response tools

Success Metrics

  • Live AI-assisted dashboards in use
  • Time to create proposal environments
  • Proposal turnaround speed
  • Quality of scope coverage
  • Leadership visibility into active opportunities

The South Street Example

A single meeting was transformed into a complete project communication and organization package — demonstrating the full Crawl → Walk → Run potential.

1. Meeting Recorded

Captured using Otter, generating a full transcript and audio file for AI processing.

2. Summary Generated

ChatGPT synthesized the transcript into a clean summary with decisions, questions, risks, and next steps.

3. Follow-Up Email Drafted

A professional client follow-up email was generated, ready for review and sending.

4. Architect RFP Created

Meeting content converted into a structured architect RFP with project requirements and scope.

5. Outreach Emails Generated

Personalized architect invitation emails drafted for outbound outreach.

6. RFP Microsite Published

Claude built a branded RFP microsite — a professional submission experience at clay.k-m.com.

7. Living Dashboard Possible

The same data extends into a living project dashboard updated after each meeting.

First 30 / 60 / 120 Days

A practical implementation schedule — from personal adoption to team-level systems.

Phase 1
First 30 Days
Personal comfort & daily habit building
  • Adopt Otter for key meetings
  • Record & transcribe important conversations
  • Use ChatGPT after each major meeting
  • Send AI-assisted summaries same-day
  • Create a saved prompt library
  • Identify 3 most repetitive admin tasks
Phase 2
Days 30–60
Repeatable team-level workflows
  • Create repeatable precon & proposal workflows
  • Save project-specific AI workspaces
  • Build templates for common deliverables
  • Test AI for internal bid packages
  • Organize outputs in shared folder structure
Phase 3
Days 60–120
Differentiated AI-enhanced operations
  • Test project dashboards / microsites
  • Launch simple project pages when useful
  • Standardize dashboard structure for major opps
  • Evaluate email/calendar connections
  • Partially automate one proposal workflow

Prompt Library

Copy these prompts directly into ChatGPT or Claude. Each is designed for CLAY's construction and preconstruction context.

Crawl — Meeting Summary
I am a construction and preconstruction professional. Review this meeting transcript and audio. Create: 1) a clean summary, 2) key decisions, 3) open questions, 4) action items by owner, architect, and contractor, and 5) a concise executive recap.
Crawl — Client Follow-Up Email
Using this meeting transcript, draft a polished follow-up email to the client. Include the main takeaways, next steps, outstanding questions, and a professional tone.
Crawl — Next Meeting Prep
Using this meeting summary and action list, create a prep brief for the next meeting. Include unresolved issues, decisions that need to be made, and a suggested agenda.
Walk — Internal Bid Package
Review these plans, notes, and client requirements. Build an internal CLAY bid package summary that includes project overview, scope categories, likely trade packages, potential missing scope areas, risks, questions to clarify, and a suggested bidder list structure.
Walk — Project Dashboard Structure
Using this meeting transcript, RFP, and supporting files, create a project dashboard structure with sections for executive summary, project facts, major decisions, open questions, risks, schedule, documents, and next actions.
Run — Project Microsite
Using the transcript, summary, RFP, and uploaded files, create a structured project microsite for CLAY. The site should include project overview, key decisions, risks, open questions, documents, timeline, and a submission / contact section. Keep it professional, simple, and mobile-friendly.
Run — Living Project Dashboard
Turn this opportunity into a living dashboard that can be updated after each meeting. Include meeting history, decisions, risks, files, next actions, and outstanding questions.

Guardrails

AI should accelerate work, not replace construction judgment. Keep these principles in mind at every phase.

Human Review Is Always Required

AI drafts. Humans finalize. Always review assumptions, scope interpretation, numbers, legal language, project-specific commitments, and trade coverage.

Build Internal Prompt Discipline

Better context = better output. Combine transcripts, notes, plans, owner requirements, past project examples, and known constraints for the strongest results.

Keep Project Memory Organized

Save transcripts, summaries, prompt versions, finalized outputs, key decisions, and linked files. Organization compounds over time.

Start Narrow

Don't try to automate everything at once. Start with the workflows that create the fastest, clearest wins — then expand from there.

Next Steps

Five concrete actions to move from plan to practice.

1

Pick Tools

Adopt Otter for recording and ChatGPT for synthesis. Add Claude for packaging.

2

Define Workflows

Map the 3 most repetitive admin tasks and create AI workflows for each.

3

Test One Proposal

Run a real opportunity through the full AI workflow end to end.

4

Build Prompts

Save best-performing prompts by workflow type. Iterate on what works.

5

Pilot Dashboard

Identify one major opportunity and build an AI-generated project dashboard.

Your AI Partner

Ready to Make AI
a Competitive Advantage?

As an AI consultant, KM Digital provides the strategy, tools, and custom-built systems to help CLAY implement these processes — and build proprietary workflows that become a true differentiator in the market. From meeting-to-action automation to branded project dashboards and proposal systems, we make AI accessible, repeatable, and part of how CLAY operates.

Let's Talk Implementation ▸
AI Strategy
Custom Workflows
Proprietary Tools
Ongoing Support