For software companies

Plan engineering capacity across products, clients, and delivery commitments.

Connect product and client delivery demand with shared specialists, current capacity, portfolio risk, and supported engineering activity.

Common challenges

See what stands in the way of delivery.

Product roadmaps and client projects often depend on the same specialists. Compare their demands before committing dates, with delivery activity imported from your existing engineering tools where supported.

Shared specialists become hidden bottlenecks

A senior engineer, product designer, or security specialist can be needed by several teams at the same time. Without a shared capacity view, every plan can look reasonable on its own while the combined commitment is impossible.

Dates are discussed before demand is clear

A roadmap item or client promise may have a target date but no agreed roles, skills, or effort behind it. Delivery leaders then discover the shortfall after sequencing and customer expectations are already difficult to change.

Portfolio risk is assembled too late

Work items, blockers, estimates, assignments, time, and budgets are often reviewed in separate places. Management spends the review reconciling reports instead of deciding what to protect, move, or staff differently.

How it works

Connect project demand with available people.

Check whether a client project fits alongside planned product work, using the skills, dates, and capacity each needs.

Step 1

Describe the commitment

Set out the project, dates, expected work, and the people or skills it needs. Product and client work can be considered together, so one promise does not quietly consume capacity reserved for another.

Step 2

Compare demand with available people

Review schedules, declared skills, assignments, leave, and existing commitments before changing the plan. Capacity gaps remain visible for a staffing or sequencing decision rather than being absorbed into an optimistic delivery date.

Step 3

Review delivery evidence

Bring current progress, blockers, estimate changes, time, cost, and forecast risk into the same review. Supported GitHub, Azure DevOps, or Jira imports can add delivery activity while Allocyn keeps the planning decision explicit.

What your team gains

Make decisions from the same plan.

See which commitments fit, where skills are constrained, and why a forecast changed.

  • ✓Make product and client demand comparable before committing dates.
  • ✓See when a shared specialist is available, partially allocated, or over capacity.
  • ✓Review forecast changes beside current delivery evidence and accountable owners.
  • ✓Keep supported engineering activity connected through controlled, read-only imports.
Use your own information

Evaluate Allocyn with a real project and team plan.

Use the 14-day company trial to model one active product or client project with the people it depends on. A work email is required, and no payment card is requested.

Book a demo if you want to discuss your current planning process, supported engineering connections, or the information needed for a useful evaluation. Bring a real capacity question so the session stays grounded in your work.