Support
Support is delivered through embedded AI builders who monitor performance and keep improving agents after launch. A blog and a login page for existing customers are available.
Custom AI agents built and run for your business by a hands-on team

Workmate builds, deploys and maintains custom AI agents for businesses, combining an enterprise platform with embedded builders. Aimed at real estate, investment, private equity and professional services teams, with Slack, Teams and email deployment.
Workmate is a service-plus-platform offering that designs custom AI agents, which it calls Workmates, for businesses. Rather than selling a self-serve scheduling app, it pairs an enterprise AI platform with a team of builders who embed with the customer, define what each agent should do, and keep tuning it after launch. The "Meeting scheduling" hint in the directory is only a loose fit: the homepage lists meeting-note capture and inbox coordination among possible agent duties, but scheduling is not its headline function. The work follows a four step process. Discovery maps how the business operates and which AI opportunities are worth building. The build phase defines agent skills and routines, connects apps and data, and sets access and permissions. Deployment places agents inside tools teams already use, including Slack, Teams and email, followed by performance testing. An improvement phase then monitors results and adapts the agents as models and the business change. The homepage frames the offer around specific verticals: real estate, investment firms, private equity, professional services and general enterprise. Example agents include drafting offering memos, screening inbound deals against criteria such as geography or loan size, running daily news reports on tracked companies, automating diligence questionnaires, and syncing CRM data without manual entry. The company states that it is model agnostic, token efficient, SOC 2 Type II certified, and able to connect to more than 3,000 integrations. This fits buyers who want outcomes rather than tooling: operations, finance and deal teams that lack in-house AI engineers and prefer a vendor to carry the build and maintenance load. It sits between general agent platforms that customers configure themselves and traditional consultancies that hand over slide decks. Workmate positions itself as builders rather than consultants. The tradeoff is that scope, timelines and cost are set through a conversation, so it suits organizations ready for a guided engagement more than individuals who want to try an assistant today.


Support is delivered through embedded AI builders who monitor performance and keep improving agents after launch. A blog and a login page for existing customers are available.
States 3,000+ integrations, with logos shown for tools such as Salesforce, DocuSign, Slack, Microsoft Teams, Asana, Mailchimp, monday.com and Snowflake. Agents are deployed in Slack, Teams and email.
Custom AI agents built around a company's systems, with defined skills, routines, app and data connections, and access permissions. Model agnostic and token efficient, deployed in Slack, Teams and email, with ongoing monitoring and improvement by embedded builders.





