Project and portfolio summaries
Draft an update from current progress, capacity, risks, and costs.
AI delivery intelligence
Use practical AI without handing over the decision.
Summarize progress, explain delivery risks, and explore staffing options using the information you can access.
Keep people in control of AI-assisted decisions.
AI output is clearly labelled. Review the supporting information, then accept, correct, or reject the suggestion. Generating an answer does not change project, staffing, or financial records.
Focus AI on delivery questions people can verify.
Use AI for the following tasks where enabled. Suggestions use information you are permitted to access. Predictive features are not currently available.
Weekly delivery briefs
Summarize the week’s work, milestones, blockers, and changes.
Risk explanations
Explore how blockers, dates, capacity, or budgets may affect delivery.
Resource recommendations
Compare candidates using recorded skills, availability, and commitments. Managers review suitability and choose.
Effort-estimation assistance
Get an estimate suggestion using relevant work history where configured. Check that past work reflects current conditions.
Client status drafts
Draft an update from information selected for the client. Check accuracy and sensitive details before sharing.
Change-impact analysis
Explore how a proposed scope, date, or effort change could affect the plan. Results depend on your assumptions.
Staffing scenarios
Explain the capacity and timing effects of a proposed allocation before you change the live plan.
No autonomous workforce or commercial decisions.
AI does not make hiring, promotion, disciplinary, dismissal, or staffing decisions. Managers must consider suitability, fairness, and information outside Allocyn when reviewing recommendations.
Answers can be incomplete or wrong, particularly when project information is missing or outdated. Check the underlying records before acting; an explanation is not proof of a cause or outcome.
Review how each feature uses information.
Read about AI data use, provider details, retention, and limitations before enabling assistance for your team.