Doc Flow AI is a proof-of-concept platform built for technical writing and content consultancies that need to move faster without sacrificing quality or governance. Instead of treating documentation as a chain of disconnected spreadsheets, emails, and manual handoffs, the application brings client onboarding, document auditing, AI-assisted drafting, quoting, and staffing into one coherent workflow. Built on modern web technologies with real OpenAI integrations, it demonstrates how agencies can compress weeks of administrative work into demo-ready, end-to-end flows. Projects such as BlueRiver Fintech enter the system through structured intake, pass through document gap analysis and client response cycles, and graduate to quote generation and writer assignment only when requirements are complete. The platform emphasizes human-in-the-loop review: AI accelerates drafting, matching, and commercial proposals, while project managers retain control over approvals, edits, and final delivery. For consultancies selling technical writing, API documentation, help centers, and compliance content, DocFlow AI shows what an intelligent documentation operations hub can look like in practice.
AI Matchmaking
The Writer Finder module answers a question every documentation PM faces once a project is approved: who is the right person to do the work, and are they actually available? The interface surfaces a live talent pool with status breakdowns—idle, partially available, busy, and on leave—so staffing decisions start from reality, not guesswork. Writers are ranked using AI match scores that weigh experience, quality ratings, weekly availability, on-time delivery, and fit with the project’s industry and document type. Filters for language, service line, document type, and availability status help narrow a long list quickly, while “Top 5 only” and shortlist views support focused decision-making. Each recommendation card explains why a writer was suggested—for example, deep fintech experience or seniority aligned with project complexity—and offers clear actions: shortlist, compare side by side, view full profile, or assign directly to the project. This turns writer selection from a manual review exercise into a transparent, data-informed staffing workflow.
Quote Generator
The Quote Generator module transforms a completed client intake into a structured commercial proposal using a visible four-step generation pipeline. First, the system retrieves similar accepted quotes from the knowledge base to ground pricing and scope in past work. Next, it loads service-specific rate cards and project size tiers. It then synthesizes commercial terms—payment schedules, validity windows, and scope assumptions—before Open AI composes the full quote draft with sections, line items, and deliverables. For a project like Blue River Fintech with intake marked complete and a strong audit score, the PM sees delivery targets, language requirements, and readiness signals at a glance before clicking Generate quote. The simulation-style pipeline makes the AI process legible to clients and internal stakeholders, not a black box. Typical generation takes 30–60 seconds, producing an editable draft that can be refined, sent for client approval, and linked forward to writer assignment—closing the loop from sales to delivery.
Technologies Used
- Platform: React 19
- AI Models: Google Gemini + Claude Opus
- Database: Firebase — Auth, Firestore, Cloud Storage
- Infrastructure: Vercel Edge Network
- Industries: Technical writing & Consulting
