Play 4 Complete Implementation Guide

Build Your Intake Form

Create a structured intake form that captures exactly what your LLM

needs to generate a first draft. Use Google Forms, Typeform, or Airtable. Required fields:

Client & Opportunity Details

• Client name and primary contact
• RFP issuer (if different from client)
• Opportunity value (actual dollar amount)
• Submission deadline (date and time, including time zone)
• Expected decision date

Scope & Requirements

• Services requested (checkboxes for your practice areas)
• Specific deliverables mentioned in RFP
• Contract duration or project timeline
• Geographic scope (offices, jurisdictions, locations)
• Team size requirements (number of partners, associates, specialists)

Evaluation & Format

• Evaluation criteria (paste directly from RFP)
• Point weighting if provided
• Page limit or word count
• Required sections (executive summary, qualifications, pricing, etc.)
• Submission format (PDF, Word, portal upload)

Attachments

• Upload field for the actual RFP document
• Upload field for any supplemental materials
• Link field for client website or background research

Make the form accessible via a dedicated email alias (rfp@yourfirm.com) or Slack channel. Set up auto-notifications to your proposal team when submissions arrive.

Triage Incoming Requests

Score each RFP within 24 hours using a simple matrix:

Win Probability (1-5 scale)

• 5: Existing client, invited to submit, strong relationship
• 3: Qualified lead, competitive situation, no inside track
• 1: Cold RFP, unfamiliar client, likely price-shopping

Strategic Value (1-5 scale)

• 5: Target client, new market entry, reference-building opportunity
• 3: Good fit, reasonable revenue, standard engagement
• 1: Commodity work, low margin, high effort

Multiply the scores. Anything 15+ is high priority. 9-14 is medium. Below 9 requires partner approval to pursue.

Create a Trello board or Asana project with columns: Intake, Qualified, In Progress, Review, Submitted, Won/Lost. Move each RFP through this pipeline and assign due dates that work backward from submission deadline.

Assign Project Teams

High-priority RFPs get dedicated teams. Medium-priority RFPs share resources. Low-priority RFPs get template-based responses only.

Core Team Structure

• Proposal Lead: Owns the timeline, coordinates all inputs, final quality check
• Technical Lead: Subject matter expert who validates accuracy and approach
• Writer/Editor: Refines LLM

  LLM

  Click to read the full definition in our AI & Automation Glossary.

  output, ensures voice consistency
• Pricing Lead: Develops fee structure, reviews commercial terms

For RFPs over $500K or strategic accounts, add a Partner Sponsor who reviews before submission.

Use a RACI matrix in your project management tool. Make it clear who is Responsible, Accountable, Consulted, and Informed for each section of the proposal.

Audit and Organize Existing Content

Pull every successful proposal from the last 3 years. Extract reusable components:

Firm Credentials

• Company overview (200-word, 500-word, 1000-word versions)
• Office descriptions with headcount and practice areas
• Certifications, accreditations, rankings
• Awards and recognition

Practice Area Descriptions

• Service line overviews (one per practice)
• Methodology explanations
• Technology and tools used
• Differentiators and unique approaches

Case Studies

• Client name (if permissible) or anonymized industry/size
• Challenge/situation
• Your approach and solution
• Quantified results (percentages, dollar savings, time reductions)
• Client testimonial quote if available

Personnel

• Partner bios (150-word versions)
• Associate and specialist bios (100-word versions)
• Resumes in standard format
• Professional headshots

Boilerplate Sections

• Project management approach
• Quality assurance process
• Communication protocols
• Transition and onboarding plans
• Risk management framework

Store everything in a shared drive with this folder structure:

/RFP-Library
  /Firm-Credentials
  /Practice-Areas
    /Tax
    /Audit
    /Advisory
  /Case-Studies
    /By-Industry
    /By-Service
  /Personnel
    /Partners
    /Associates
  /Boilerplate
  /Templates

Name files descriptively: Case-Study_Manufacturing-Client_Tax-Restructuring_2023.docx

Build Content Templates

Create fill-in-the-blank templates for standard RFP sections. Use [BRACKETS] for variables the LLM

will populate.

Executive Summary Template

[CLIENT NAME] faces [PRIMARY CHALLENGE]. Our proposed approach delivers [KEY BENEFIT] through [METHODOLOGY]. 

Our team brings [NUMBER] years of combined experience in [RELEVANT PRACTICE AREAS], including [SPECIFIC CREDENTIAL OR PAST SUCCESS]. We will deploy [TEAM SIZE] professionals led by [PARTNER NAME], who has [RELEVANT QUALIFICATION].

We commit to [SPECIFIC DELIVERABLE] within [TIMEFRAME], with [MEASURABLE OUTCOME]. Our fee of [AMOUNT] reflects [VALUE JUSTIFICATION].

We have successfully completed [NUMBER] similar engagements, including [BRIEF CASE EXAMPLE]. [CLIENT NAME] will benefit from our [UNIQUE DIFFERENTIATOR].

Qualifications Template

[FIRM NAME] has served [CLIENT TYPE] for [NUMBER] years. Our [PRACTICE AREA] team includes [NUMBER] partners and [NUMBER] specialists.

Relevant credentials:
- [CERTIFICATION/RANKING]
- [INDUSTRY RECOGNITION]
- [TECHNOLOGY CAPABILITY]

Our approach to [SERVICE TYPE] incorporates:
1. [METHODOLOGY STEP 1]
2. [METHODOLOGY STEP 2]
3. [METHODOLOGY STEP 3]

Recent comparable engagements:
[CASE STUDY 1 - 2 sentences]
[CASE STUDY 2 - 2 sentences]

Store templates in the /Templates folder. Version them (v1.0, v1.1) and track which versions win.

Implement Version Control

Use SharePoint, Google Drive, or a dedicated DAM (Digital Asset Management) system with these rules:

Check-Out/Check-In Protocol

• Anyone editing a library file must check it out
• Maximum check-out duration: 48 hours
• Auto-notification if file remains checked out beyond deadline

Approval Workflow

• New content requires Marketing approval for brand compliance
• Case studies require client approval before library inclusion
• Partner bios require partner review annually

Metadata Tagging

• Practice area (dropdown)
• Industry (dropdown)
• Content type (credential, case study, bio, boilerplate)
• Last updated (auto-populated)
• Approval status (draft, approved, archived)
• Win rate (percentage of RFPs won when this content was used)

Set calendar reminders to review all library content quarterly. Archive anything over 18 months old unless it's still winning.

Select and Configure Your LLM

LLM

Click to read the full definition in our AI & Automation Glossary.

Use Claude 3.5 Sonnet (Anthropic) or GPT-4 (OpenAI) for RFP generation. Both handle long context windows needed for full RFP documents.

Configuration Settings

• Temperature: 0.3 (lower = more consistent, less creative)
• Max tokens: 4000 for section drafts, 8000 for full proposals
• Top-p: 0.9 (nucleus sampling for quality)

API Integration Options

Option 1: Direct API

calls via Python script

import anthropic

client = anthropic.Anthropic(api_key="your-key")
message = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=4000,
    temperature=0.3,
    system="You are an expert proposal writer for professional services firms...",
    messages=[{"role": "user", "content": prompt}]
)

Option 2: No-code tools like Zapier or Make.com connecting your intake form to the LLM

Option 3: Custom GPT in ChatGPT Enterprise with uploaded knowledge base

Budget $200-500/month for API

usage depending on RFP volume.

Build Your Prompt Engineering Playbook

Create a master system prompt that establishes context for all RFP generation:

System Prompt Template

You are an expert proposal writer for [FIRM NAME], a [FIRM TYPE] with [NUMBER] professionals across [NUMBER] offices. 

Writing guidelines:
- Use active voice and confident language
- Write at a 12th-grade reading level
- Avoid jargon unless industry-standard
- Lead with benefits, then explain methodology
- Quantify claims with specific metrics when possible
- Match the tone of the RFP (formal government vs. conversational startup)

Firm differentiators to emphasize:
- [DIFFERENTIATOR 1]
- [DIFFERENTIATOR 2]
- [DIFFERENTIATOR 3]

Never make claims about:
- Specific client names without explicit permission
- Capabilities we don't actually have
- Guaranteed outcomes or results
- Pricing without partner approval

Section-Specific Prompts

For Executive Summaries:

Write a 300-word executive summary for this RFP response. Structure:
1. Restate the client's core challenge in one sentence
2. Present our solution approach in 2-3 sentences
3. Highlight our most relevant credential or past success
4. State our key differentiator
5. Include a confident closing statement

Use this intake information: [PASTE INTAKE FORM DATA]
Use these relevant case studies: [PASTE 2-3 CASE STUDIES]
Use this team information: [PASTE TEAM BIOS]

For Methodology Sections:

Write a detailed methodology section explaining how we will deliver [SERVICE]. Structure as numbered steps with 2-3 sentences per step. Include:
- What we will do
- How we will do it
- What the client will receive
- Timeline for each phase

Use this service description from our library: [PASTE BOILERPLATE]
Customize for this client's specific situation: [PASTE RFP REQUIREMENTS]

Store all prompts in a shared document. Track which prompts produce the best first drafts and iterate monthly.

Integrate LLM

LLM

Click to read the full definition in our AI & Automation Glossary.

Into Your Workflow

Step-by-Step Generation Process

1. Intake form submitted → Auto-notification to proposal team
2. Proposal Lead reviews RFP, pulls relevant library content
3. Proposal Lead assembles context package: intake data + library content + RFP document
4. Proposal Lead runs LLM

   LLM

   Click to read the full definition in our AI & Automation Glossary.

   generation for each required section using section-specific prompts
5. LLM

   LLM

   Click to read the full definition in our AI & Automation Glossary.

   outputs saved to proposal draft document with [AI GENERATED - REQUIRES REVIEW] headers
6. Technical Lead reviews for accuracy, Writer/Editor reviews for quality
7. Revisions made, [AI GENERATED] headers removed
8. Final review by Proposal Lead before partner sign-off

Automation Options

Use Zapier to connect:

• Intake form submission → Create project in Asana → Notify team in Slack
• Asana task "Generate Draft" → Trigger LLM

  LLM

  Click to read the full definition in our AI & Automation Glossary.

  API

  API

  Click to read the full definition in our AI & Automation Glossary.

  call → Save output to Google Doc
• Google Doc updated → Notify reviewers in Slack

Or build a custom interface using Retool or Streamlit where users:

• Select RFP from dropdown
• Check boxes for required sections
• Click "Generate Draft"
• Review output in side-by-side view with library content
• Accept, edit, or regenerate each section

The goal is one-click draft generation that takes 5 minutes instead of 5 hours.

Establish Review Criteria

Create a scoring rubric for every LLM

-generated section. Score 1-5 on each dimension:

Accuracy (Technical Lead reviews)

• All claims are factually correct
• Methodology matches our actual process
• Team credentials are current and accurate
• Case studies are approved for use
• No capabilities we don't possess

Compliance (Proposal Lead reviews)

• Addresses all RFP requirements
• Follows specified format and structure
• Meets page/word count limits
• Includes all mandatory sections
• Uses required terminology

Quality (Writer/Editor reviews)

• Clear, concise, professional writing
• Consistent voice and tone
• No grammatical or spelling errors
• Proper formatting and visual hierarchy
• Compelling and persuasive

Brand Alignment (Marketing reviews for high-priority RFPs)

• Matches firm messaging guidelines
• Uses approved terminology
• Reflects current positioning
• Appropriate level of formality
• Consistent with recent proposals

Anything scoring below 4 on any dimension requires revision before moving forward.

Implement Review Workflows

Standard Review Sequence

Day 1: LLM

generates first draft Day 2: Technical Lead reviews for accuracy, flags issues Day 3: Writer/Editor revises based on feedback Day 4: Proposal Lead reviews complete draft Day 5: Partner reviews and approves (for high-priority RFPs) Day 6: Final formatting and submission prep Day 7: Submit (with 1-day buffer before actual deadline)

Review Tools

Use Google Docs with suggestion mode or Microsoft Word with track changes. Create a comment template:

[REVIEWER NAME] - [DATE]
Section: [SECTION NAME]
Issue: [DESCRIPTION]
Severity: [MINOR / MODERATE / CRITICAL]
Suggested Fix: [SPECIFIC REVISION]

For faster turnaround, use Loom to record video reviews walking through the document with verbal feedback.

Quality Gates

Gate 1: Technical accuracy check. If more than 3 critical issues, regenerate section with better context.

Gate 2: Compliance check. If missing required elements, add before proceeding.

Gate 3: Quality check. If writing quality is below standard, Writer/Editor does full rewrite instead of light edit.

Gate 4: Partner approval. Partner can approve, request revisions, or reject (rare).

No section moves to the next gate until it passes the current one.

Train Your Review Team

Run a 2-hour training workshop covering:

Hour 1: Understanding LLM

Capabilities

• What LLMs

  LLMs

  Click to read the full definition in our AI & Automation Glossary.

  do well (structure, synthesis, consistency)
• What LLMs

  LLMs

  Click to read the full definition in our AI & Automation Glossary.

  do poorly (accuracy verification, nuanced judgment, brand voice)
• How to spot common LLM

  LLM

  Click to read the full definition in our AI & Automation Glossary.

  errors (hallucinated facts, generic language, repetitive phrasing)
• When to edit vs. regenerate

Hour 2: Hands-On Practice

• Review 3 sample LLM

  LLM

  Click to read the full definition in our AI & Automation Glossary.

  -generated sections
• Score using the rubric
• Compare scores and discuss discrepancies
• Practice giving actionable feedback
• Learn prompt refinement techniques

Provide a one-page quick reference guide:

Red Flags in LLM

Output

• Vague claims ("industry-leading", "best-in-class") without supporting evidence
• Suspiciously perfect case study results (always verify numbers)
• Inconsistent terminology (switching between "client" and "customer")
• Overly formal or robotic phrasing
• Repetitive sentence structures
• Missing specifics requested in the RFP

Editing Best Practices

• Read the RFP requirement first, then the LLM

  LLM

  Click to read the full definition in our AI & Automation Glossary.

  response
• Check every factual claim against library content
• Replace generic language with specific details
• Add concrete examples and metrics
• Ensure logical flow between paragraphs
• Read aloud to catch awkward phrasing

Schedule monthly calibration sessions where the team reviews the same proposal section and discusses scoring differences.

Monitor Content Performance

Track these metrics in a spreadsheet or Airtable base:

Content Usage Metrics

• Times used (count how often each library item appears in proposals)
• Recency (date last used)
• Versatility (number of different RFP types where it's been used)

Win Rate Metrics

• Proposals won when content was included
• Proposals lost when content was included
• Overall win rate for that content piece
• Win rate by RFP type (government vs. commercial, new client vs. existing)

Review Feedback

• Average quality score from reviewers
• Number of times content required significant editing
• Specific feedback themes (too generic, outdated, inaccurate)

Set up a dashboard showing:

• Top 10 most-used content pieces
• Top 10 highest-win-rate content pieces
• Bottom 10 lowest-quality-score content pieces
• Content not used in 6+ months

Review this dashboard monthly. Content that's frequently used but has low win rates needs improvement. Content that's never used should be archived or promoted better.

Refresh and Expand Content

Quarterly Content Refresh

Q1: Update all partner bios and firm credentials Q2: Review and refresh practice area descriptions Q3: Add new case studies from recent wins Q4: Update methodology and approach sections

Triggered Updates

Update immediately when:

• You win a significant new client (add case study within 30 days)
• A partner joins or leaves (update bios and