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WorkPlay

WorkPlay builds custom AI agents that act as dedicated employees for technology and SaaS companies, automating their highest‑leverage commercial workflows such as email handling, data entry, and file uploads.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Technology companies often rely on manual, fragmented processes for commercial tasks such as email handling, data entry, and file uploads, leading to inefficiencies and scaling bottlenecks. Existing AI tools typically require extensive engineering effort, expose token‑usage costs, and lack integration with a company’s existing tech stack.

Solution

WorkPlay creates custom AI agents that function as dedicated employees, built around a client’s highest‑leverage commercial workflow. The service maps the client’s commercial motion, delivers a working prototype within 48 hours and a production‑grade agent in 30 days, and operates across the client’s existing software ecosystem, handling clicks, typing, and uploads autonomously. Each agent has its own email address and runs under a managed‑service model, so customers never see token invoices or usage caps. In addition, WorkPlay offers fractional commercial leadership (CCO, COO, GM) to guide businesses through build, launch, and scaling phases, aligning AI deployment with revenue‑impact metrics.

Target Audience

Primary customers are technology and SaaS companies that need to automate high‑value commercial workflows and benefit from expert commercial leadership without expanding internal headcount.

Features

  • Workflow‑specific AI agent built from the client’s documented commercial processes
  • Full‑stack execution: autonomous clicking, typing, file uploads, and email handling across any SaaS stack
  • Managed service model with unlimited usage and no token‑usage billing visible to the client
  • Rapid prototyping (48 h) and production rollout (30 days) with ongoing performance monitoring
  • Operator‑led implementation by experienced P&L managers focused on business outcomes
  • Fractional CCO/COO/GM engagements to align AI agents with strategic growth objectives
This profile is AI-generated and may contain inaccuracies.