rfpOS

‍1. Overview

rfpOS is OrbitShift’s AI-driven proposal engine for responding to RFPs, RFIs, and security/compliance questionnaires.
It’s built to remove the manual drag from bid and proposal workflows. Instead of starting every response from scratch or hunting through past decks and files, rfpOS uses your internal knowledge base plus external data sources to generate enterprise-ready answers in minutes. (orbitshift.ai)
In essence:
rfpOS turns chaos and delay into structured, scalable proposal operations — faster, smarter, and with higher quality.

2. Key Use Cases

Use Case

What You Achieve

RFP / RFI Response Automation

Generate first-draft responses in minutes rather than days. (orbitshift.ai)

Proposal Process Management

Assign sections, track progress, send reminders, and maintain version control across the bid team. (orbitshift.ai)

Security & Compliance Questionnaire Completion

Auto-fill or assist with standard questionnaire responses, reducing risk and manual effort. (orbitshift.ai)

Knowledge & Content Utilization

Leverage indexed internal knowledge + external sources to ensure responses are current, accurate, and consistent. (orbitshift.ai)

3. How to Process an RFP/RFI with rfpOS

Step 1: Intake & Briefing
Upload the RFP/RFI to your OrbitShift workspace under rfpOS → New Request.
The system will:

• Analyse the document and extract scope, key questions, key dates. (orbitshift.ai)
  
• Generate an Executive Brief with summaries and recommended next steps. (orbitshift.ai)
  
• Identify relevant persona(s) and align sections accordingly.
  

Step 2: Auto-Generate Responses
After briefing:

• rfpOS pulls from your indexed knowledge base (past responses, case studies, internal templates) and relevant external data. (orbitshift.ai)
  
• It generates draft answers, with confidence scores to indicate where human review is recommended. (orbitshift.ai)
  
• You can intervene: review low-confidence items, regenerate with adjusted guidance, or replace with custom content.
  

Step 3: Assign & Collaborate

• Use the Proposal Dashboard: assign questions/sections to SMEs with due dates and instructions. (orbitshift.ai)
  
• Track progress centrally and send reminders to keep the timeline tight.
  
• All edits, comments, versions live in one workspace to avoid fragmentation.
  

Step 4: Finalise & Export

• Review and lock answers.
  
• Generate the completed proposal in your organisation template (Word, PowerPoint, Excel) — with all source citations and confidence-metadata. (orbitshift.ai)
  
• Hand off to submission or client contact.
  

4. Leveraging Knowledge + Context

• rfpOS uses the same indexed knowledge pool as your knowledgeOS module, but focused on proposal-relevant assets.
  
• Each generated answer links back to the source content so teams can verify and audit easily. (orbitshift.ai)
  
• Over time, as more responses are processed and more feedback is applied (wins, losses, lessons learned), rfpOS improves accuracy and reduces manual rework.
  

5. Integrations & Workflow Fit

• Integrates with your content repositories (SharePoint, Google Drive, etc) to auto-index internal knowledge. (orbitshift.ai)
  
• Connects with your CRM (e.g., Salesforce, Microsoft Dynamics 365) or bid-management workflow tools to tie proposals to deals and pipelines.
  
• Works alongside your accountOS and knowledgeOS modules, meaning when an account shows an active signal, you can bump an RFP response process into action immediately.
  

6. Measuring Impact

In the rfpOS Dashboard you’ll monitor metrics like:

• Effort reduction per RFP (target: ~50-70% less manual effort). (orbitshift.ai)
  
• Turnaround time improvement (target: 70%+ faster). (orbitshift.ai)
  
• Win-rate uplift for responded RFPs (20-30% higher). (orbitshift.ai)
  
• Usage of high-confidence auto-responses vs manually edited content.
  
• Knowledge base growth: number of assets indexed, version updates, and usage across responses.
  

7. Best Practices

• Maintain your knowledge base with discipline: regularly vet and update past responses and collateral so auto-generation stays reliable.
  
• Use the confidence scores as a guide: high-confidence answers can be fast-tracked; low-confidence ones need review.
  
• Monitor and tag outcomes (win/loss) and feed back into the system for continuous improvement.
  
• Collaborate cross-functionally: involve sales, product, legal, bid-management early so content is current and aligned.
  
• Establish a clear RFP intake and process-flow (brief → auto-generate → SME review → finalise → submit) to minimise chaos and versioning issues.