Description
TeamifAI is a workforce network platform connecting two sides of professional staffing: requesters, companies that need talent or delivery teams, and suppliers, the consulting firms, staffing agencies and recruiters that provide it. The two sides link through a private, invitation-based connection rather than a public marketplace, and work through a shared request envelope. At the center of the platform is Company Brain, a learning AI that answers questions about an organization's customers, people, requests, contracts and KPIs, drawing on that organization's own data and improving as it learns from its workflows.
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A typical request moves through five stages. A requester builds structured demand, roles, skills, seniority and location, in a guided wizard, with a Request Builder Agent pre-filling details from past requests. The request goes to connected suppliers, who search their bench and submit ranked candidates scored by a Candidate Scoring Agent against the required skills, seniority and location. The requester reviews the scored proposals, alongside internal candidates ranked by a Staffing Agent, and approves the best-fit placements. A Contract Management Agent drafts master and engagement contracts directly on the request envelope for signature. Once delivery begins, both sides track performance, utilization, spend and delivery health, from dashboards fed by connected systems, with a Supplier Intelligence Agent surfacing supplier health scores, renewal timing and delivery risk.
Every AI recommendation on TeamifAI requires an explicit human action before it affects data or a team; nothing is placed or approved automatically. Match scores and reasoning travel with every proposal so decisions stay auditable, and each organization's data is tenant-scoped and kept isolated from other customers. TeamifAI integrates with HubSpot, Loxo, SAP Ariba, Coupa, Workday and ServiceNow, and includes a People timeline, bench search and reporting dashboards for workforce planning on both sides.
Pricing is not published; the company offers a demo on request rather than self-serve signup. TeamifAI is built for two audiences: organizations that buy professional services and need to source and govern that spend, and organizations, consulting firms and recruitment agencies, that supply talent or delivery teams into those engagements.
- CategoryAI Recruiting Tools
- Pricing ModelContact sales
- DeploymentCloud
TeamifAI's Core Features
Company Brain: a learning AI answering questions about customers, people, requests, contracts and KPIs from the organization's own data
Request Builder Agent pre-fills new requests from past request envelopes
Candidate Scoring Agent scores supplier proposals against required skills, seniority and location
Supplier Intelligence Agent tracks supplier health scores, contract renewals and delivery risk
Staffing Agent ranks internal bench profiles against team requirements with reasoning
Contract Management Agent drafts master and engagement contracts on the request envelope
Every AI recommendation requires explicit human approval before it affects data or teams
Tenant-scoped data isolation between organizations
Integrations with HubSpot, Loxo, SAP Ariba, Coupa, Workday and ServiceNow
People timeline, bench search and reporting dashboards for workforce planning
How to use TeamifAI?
Connect: Requesters and suppliers link through a private, invitation-based connection.
Build a request: A requester creates structured demand (roles, skills, seniority, location) in a guided wizard.
Score candidates: Suppliers search their bench and submit ranked candidates with AI-generated match scores.
Review and approve: The requester compares scored proposals and approves the best-fit placements.
Sign and deliver: Contract terms are drafted on the envelope, signed by both sides, and delivery begins.
Track performance: Both sides monitor utilization, spend and delivery health from shared dashboards.
TeamifAI's Use Cases
- Structured demand intake
- AI-scored candidate proposals
- Supplier performance tracking
- Contract drafting
