Win AI Projects.Deliver Under Your Brand.

QuickHire covers the full spectrum of agency AI delivery: AI chatbots and virtual assistants using RAG on client knowledge bases; document search and intelligent Q&A systems; MCP integrations that connect AI to client CRM/ERP/databases; AI workflow automation using n8n or Make; LLM fine-tuning for domain-specific AI models; and end-to-end AI product builds for clients launching AI SaaS. If your client has an AI project request, QuickHire has the specialist to deliver it under your brand.

NDAs are signed before any work begins both at the agency level (you and QuickHire) and at the individual engineer/PM level. The NDA explicitly prohibits QuickHire engineers from contacting your clients directly, mentioning QuickHire to your clients, or disclosing the sub-contracting relationship. If your client has their own NDA requirements, send them over and we countersign those as well. AI projects frequently involve proprietary data and business logic confidentiality is treated as a baseline requirement, not an afterthought.

Share your client's business problem, not a technical spec. QuickHire's PM and AI specialist will translate the business need into a technical delivery plan that you can present to the client. For example: "Client wants to let their support team ask questions about 3 years of internal documentation" becomes a RAG + vector database implementation. You receive a plain-English scope document you can use for client sign-off. We handle the AI architecture decisions you handle the client relationship.

You remain the single point of contact for your client. QuickHire's PM sends you daily technical progress updates in plain language that you can reformat into your agency's reporting style. For demos and technical walkthroughs, you lead the call QuickHire PM and engineer join as your "AI team" or "technical specialists" if needed. Your client's primary relationship is with your agency, not with QuickHire. This structure is maintained throughout the project without exception.

Building an in-house AI team requires 6–18 months of recruiting, $180,000–$350,000 per year in AI engineer salaries, and a pipeline of consistent AI projects to justify the headcount. QuickHire Sprint Packs at $1,700 for 10 days let you deliver AI to any client whenever a project arises without permanent headcount. For agencies with one or two AI projects per quarter, white-label AI delivery is 10x more cost-efficient than a dedicated AI hire. For agencies winning more AI work, the model scales: book multiple Sprint Packs simultaneously with parallel engineers.

QuickHire Instant is built for immediate engineering execution - book a vetted developer and dedicated PM in under 10 minutes, pay per session with no contracts. QuickHire Enterprise is for long-term team partnerships: dedicated developers, managed engineering pods, staff augmentation at scale, and enterprise-grade contracts (MSA, NDA, SLA) with a dedicated account manager. Both models use the same vetted talent network. Visit enterprise.quickhire.services to explore Enterprise engagements.