Andrew Osula AO

Case study 03

Operations · Data · Reporting

Active

Resource Planning & Executive Decision Support

Bringing project demand, available people and upcoming workload into one view for planning decisions.

Illustrative data

A clearer view of who is available, where demand is rising and what needs a decision.

Fictional hours and allocations demonstrate the planning model. Select a discipline, horizon or week to explore the same data across every view.

Resource planning Portfolio / Design delivery
Illustrative data

Resource intelligence

Capacity & delivery

All disciplines · Week 04

Forward workload

Available capacity against planned demand

CapacityDemand
08751,7502,6253,500Week 1: 2240 h capacity / 1408 h demandW1Week 2: 2162 h capacity / 1724 h demandW2Week 3: 2083 h capacity / 1611 h demandW3Week 4: 2240 h capacity / 2065 h demandW4Week 5: 2162 h capacity / 2451 h demandW5Week 6: 2083 h capacity / 2770 h demandW6Week 7: 2240 h capacity / 2362 h demandW7Week 8: 2162 h capacity / 3043 h demandW8

W4 · 2,240 h available · 2,065 h planned · 175 h headroom

Workload mix

Share of planned hours · W4

2,065PLANNED HOURS
  • Architecture26%
  • Landscape8%
  • MEP33%
  • Interior Design18%
  • Structures15%

Discipline comparison

Available and planned hours

W4
640
537
Architecture
280
173
Landscape
520
673
MEP
360
382
Interior Design
440
300
Structures
CapacityDemand

Planning signals

Where the selected week needs attention

MEP

153 h above available capacity

Review cover, sequence or scope with the discipline lead.
Interior Design

22 h above available capacity

Review cover, sequence or scope with the discipline lead.

Resource allocation register

Illustrative discipline totals · hours per week

5 disciplines
DisciplineAvailablePlannedUtilisationNet hoursPlanning decision
ARArchitecture640537
84%
+103Available capacity
LALandscape280173
62%
+107Available capacity
MEMEP520673
129%
-153Review cover
INInterior Design360382
106%
-22Review cover
STStructures440300
68%
+140Available capacity
Total2,2402,06592%175Week 4

Problem

Resource planning was fragmented across spreadsheets, reporting sources and reactive communication.

System

Select a step to see its role in the work.

  1. 01Project programme

    Use the project programme to understand when each discipline is needed.

  2. 02People and roles

    Represent available people and the roles they can cover without publishing personal data.

  3. 03Weekly allocation

    Compare planned work with the allocation already committed each week.

  4. 04Capacity

    Calculate practical capacity across the planning period and selected discipline.

  5. 05Leave

    Account for absence before treating nominal availability as usable capacity.

  6. 06Role gaps

    Surface weeks where demand exceeds the relevant role coverage.

  7. 07Forward workload

    Look ahead so staffing decisions can be made before a deadline becomes a crisis.

  8. 08Management reporting

    Present the same planning information in a form that supports management decisions.

Outcome / direction

A structured operational model for understanding demand, capacity, allocation, role coverage and future workload.

Public visualisations use illustrative data only.

Knowledge graph

Follow the methods and information shared by this work and the cases below.

CurrentResource Planning & Executive Decision Support
Operating systemCross-Department Digital OperationsWork · DeliveredFuture intelligence layerGoverned AI Agents & Agentic WorkflowsResearch · Research