Case Study

How We Built an AI Proposal Generator

Real-world proof from GKAI Studio — how we solved a US business problem with custom AI and software engineering.

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GKAI Studio

Custom AI agents · US timezone overlap · Houston, TX

The Challenge

US agencies spent 8+ hours per proposal with inconsistent pricing.

What We Built

Claude-powered proposal agent with CRM sync, template RAG, and approval workflows.

Tech stack: Anthropic Claude, RAG, HubSpot API, React, Python

Outcomes

75% faster first drafts and higher win rates on rushed RFPs.

Our 4-Phase Process

1. Discovery

Workflow mapping, data audit, and success metrics for your US team.

2. Design

Agent architecture, guardrails, UX flows, and integration contracts.

3. Build

Weekly demos, eval datasets, staging environments, and human-in-the-loop testing.

4. Launch

Production deployment, monitoring, documentation, and post-launch optimization.

How We Built an AI Proposal Generator

Case study walkthrough — AI Proposal Generator Case Study

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Client Feedback

"GKAI Studio delivered production-quality software on schedule — clear communication and US timezone overlap made the project smooth."

Frequently Asked Questions

Yes. Book a discovery call — we scope custom AI agents and software for US companies in your industry.

Typical agent MVPs run 6–12 weeks; SaaS platforms 12–20 weeks depending on scope.

Anthropic Claude and/or OpenAI with RAG, tool use, and human-in-the-loop approvals as required.

Ready to Start Your Project?

Book a free 30-minute discovery call — or send your requirements and we'll reply with next steps.

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