Resource planning for software companies

Plan shared specialists across product and client work.

See demand, skills, allocations, and usable capacity before engineering, product, and delivery commitments compete for the same people.

Common planning pressure

Protect delivery from three avoidable conflicts.

Shared specialists

Critical people are promised across products, implementations, incidents, and internal work.

Hidden demand

Upcoming roles and skill needs appear after dates are already committed.

Portfolio blind spots

A healthy task list can hide cross-project capacity and deadline risk.

Plan shared capacity

Connect project demand with the team that can deliver it.

  • ✓Plan product and client projects together
  • ✓Compare required skills with recorded skills
  • ✓See allocation conflicts and future gaps
  • ✓Import supported delivery activity from engineering systems
Evaluate with one shared team

Test the commitments competing for the same specialists.

Try one product project and one client project that share a specialist. Add schedules, leave, and current allocations to see where commitments overlap, then compare changes to staffing or dates.

Before you start

A focused company evaluation.

Does Allocyn monitor employee behavior?

No. Capacity planning uses recorded skills, schedules, availability, project requirements, and commitments.

Does AI choose the person?

No. Allocyn may suggest candidates with reasons. An authorized person reviews and decides.

Can we use current engineering tools?

Selected GitHub, Azure DevOps, or Jira delivery activity can be imported where supported. Allocyn does not write changes back.