Project, portfolio, and weekly summaries
Uses authorized delivery records to draft a concise summary. A person checks completeness, accuracy, audience, and tone before use.
AI Transparency
Understand what AI does before you use its output.
Allocyn labels AI-assisted content, explains the information and limitations behind each supported feature, and keeps important decisions with authorized people.
Last updated 4 September 2026Product behavior reviewed · provider terms and AI Act classification pending
AI-generated content is identified where it appears.
- ✓AI-generated summary
- ✓AI-generated suggestion
- ✓AI-assisted estimate
- ✓AI risk explanation
AI-generated suggestion. Review before use.
What each feature uses and produces.
Risk explanations
Uses supported status, demand, capacity, blocker, change, estimate, and deadline signals to explain possible risk. It does not determine the response.
Resource recommendations
Uses declared skills, availability, project requirements, and current commitments to suggest possible people. An authorized person reviews and decides.
Effort-estimation assistance
Uses relevant work context to suggest an estimate. A person owns the estimate and any change to the project record.
Client-safe status drafts
Uses permitted project information to draft an update. A person checks confidentiality, facts, and client suitability before sharing.
Change and staffing-scenario analysis
Uses a proposed scenario and current plan to explain possible impacts. It does not change live allocations, budgets, or commitments automatically.
Project forecasts
Predictive features are not currently available. Future forecasts would require an approved model enabled for the stated purpose. Experimental results are not production forecasts.
AI does not make important business changes automatically.
AI provides suggestions and explanations. People remain responsible for project, staffing, financial, and client decisions. Allocyn does not market automated hiring, promotion, dismissal, discipline, behavior ranking, emotion recognition, performance scoring, or fully automated task assignment.
Output depends on the available information and can be wrong.
- ✓Missing, stale, or inaccurate source records can change the result.
- ✓A model can omit context or produce an incorrect statement.
- ✓A recommendation does not establish fairness, legality, suitability, or availability.
- ✓Customer-specific policies, client obligations, employment law, and human context require separate review.
AI provider and data-handling details are still being confirmed.
AI uses a model and hosting service. The active provider, model, processing location, retention period, and terms covering shared model training are not yet published. Shared training is disabled by default in Allocyn, but the provider's terms and actual data handling are still unconfirmed. This setting alone is not a guarantee that a provider does not use data for training.
Access follows configuration, permission, and purpose.
AI use is subject to service and organization configuration, the invoking user's data access, consent where configured, usage limits, output labels, and human review. Authorized administrators can control relevant settings.
The assessment of workforce-related AI is still in progress.
AI features involving people, skills, effort, and staffing are still being assessed for their intended use and any high-risk classification. Provider review, AI literacy, monitoring, documentation, and required controls are also incomplete. Allocyn does not currently claim EU AI Act compliance.