Beamery AI Capabilities Overview
Artificial Intelligence is utilized in many Beamery features. There are three types of AI that can be found hard at work behind the scenes helping streamline your workflows and make well-informed decisions.
Machine Learning AI at Beamery
Machine Learning AI in Beamery primarily focuses on analyzing existing data to make predictions and enhance search capabilities. It excels at identifying patterns within talent data to provide relevant suggestions and scores.
- Primary Applications:
- Define Vacancy Skills Requirements: Uses Vacancy Calibration to suggest relevant skills in Smart Profile.
- Searches within CRM: Powers Skills Enhanced Search.
- Match Contacts to Vacancies: Provides Talent Match Score against a specific vacancy, and suggests contacts for vacancies.
Generative AI at Beamery
Generative AI in Beamery is designed to create new content based on learned patterns. This technology allows for the generation of textual content and insights from market data.
- Primary Applications:
- Structured Jobs and Skills Creation: Drives Skills Intelligence & Work Architecture.
- Market Research and Insights: Powers Labor Market Insights.
- Recipe Management within CRM: Enables Recipe Search.
- Draft Communications: Supports Smart Outreach to draft messages in the Beamery Extension.
Agentic AI at Beamery
Agentic AI represents Beamery's future direction, aiming for autonomous and task-oriented AI systems. While many Agentic AI features are planned for future releases, the foundation is being laid to enable proactive actions and intelligent automation.
- Current and Future Applications:
- Searches within CRM (Agentic Sourcing): Ray for Sourcing BETA will use Market Insights & Skills Inference to enrich and improve search accuracy, and automate searches with scheduled updates.
- Future Plans: Agentic AI is in scope for future releases for tasks such as Job Description Creation, Defining Vacancy Skills Requirements, Monitoring job families, Recommending changes to job families, Market Research and Insights, Managing pipelines, Sending communications, Scheduling interview times, Summarizing contacts, and various analysis and optimization tasks.
Summary of AI Capabilities in Beamery
The table below outlines which AI type is currently applied to various tasks within Beamery's scope.
| Tasks | Sub Tasks | Does Machine Learning AI do this task? | Does Generative AI do this task? | Does Agentic AI do this task? |
|---|---|---|---|---|
| Job Description Creation | No | Yes - Skills Intelligence & Job Architecture | Not in scope for the initial release. But there are plans for the future. |
| Define Vacancy Skills Requirements | Yes - Vacancy Calibration - Suggested Skills in Smart Profile | No | Not in scope for the initial release. But there are plans for the future. | |
| Monitor job families and roles and notify of a need to review/update | No | No | Not in scope for the initial release. But there are plans for the future. | |
| Recommend changes to job families and roles (e.g. skills) | No | No | Not in scope for the initial release. But there are plans for the future. | |
| Sourcing off-platform | No - but you can use Beamery's non-AI features to do this. E.g. LinkedIn CRM-C | No | No | |
| Advertising and Job Posting | No | No | No | |
| 2. Search | Market Research and Insights | No | Yes - Labor Market Insights | Not in scope for the initial release. But there are plans for the future. |
| Searches within CRM (Agentic Sourcing) | Yes Skills Enhanced Search | Yes Recipe Search | Included with Ray for Sourcing BETA: Will use Market Insights & Skills Inference to enrich / improve accuracy of search Automate searches with scheduled updates | |
| 3. Pipeline | Manage pipeline through pools Suggest Contacts Draft communications (email/SMS) | No Yes Suggested Contacts for Vacancies (Talent Match) Vacancy Calibration Insights Note: Find Similar Contacts is not currently powered by our AI models | Yes - Smart Outreach | Not in scope for the initial release. But there are plans for the future. |
| Send communications (email/SMS) | No | No | Not in scope for the initial release. But there are plans for the future. | |
| 4. Message | Schedule an interview time | No | No | Not in scope for the initial release. But there are plans for the future. |
| Feedback Delivery | No | No | No | |
| Make an offer | No | No | No | |
| 5. Assess | Score Contacts based on the specific vacancy | Yes Applicant Match Score (Talent Match) Suggested Contacts for Vacancies (Talent Match) | No | No |
| Summarize contact & their history | No | Not currently. But there are plans for the future. | Not in scope for the initial release. But there are plans for the future. | |
| Screen out applicants | No | No | No | |
| Decide that an applicant should be interviewed | No | No | No | |
| Interview applicants | No | No | No | |
| Provide interview questions | No | No | No | |
| Screen, Review or Score Interviews | No | No | No | |
| Aptitude Testing and Assessments | No | No | No | |
| Background and Reference Checks | No | No | No | |
| Contact the applicant to let them know they have been successful or unsuccessful | No | No | No | |
| 6. Hire | Make the final hiring decision | No | No | No |
| Make an offer of employment | No | No | No | |
| Negotiate terms of employment | No | No | No | |
| 7. Analyze / Optimize | Provide communication insights and recommendations (reporting) | No | No | Not in scope for the initial release. But there are plans for the future. |
| Provide talent acquisition insights and recommendations (reporting) | No | No | Not in scope for the initial release. But there are plans for the future. | |
| Provide prioritization and next steps recommendations | No | No | Not in scope for the initial release. But there are plans for the future. |