ResourceAllocationOptimizer

Stop over-allocating your best people. Our ML engine balances skills, availability, and strategic priorities across every project in your portfolio in real time.

Sector

Smart Operations

Solution

Resource Allocation Optimizer

+17pp

Billable Utilisation

-28%

Bench Time

+17pp

Billable Utilisation

-28%

Bench Time

< 30s

Decision Speed

Solution Overview

Capabilities & technology

05 capabilities
01

Multi-constraint workforce optimisation

02

Skill-gap identification and training recommendations

03

What-if scenario modelling

04

Utilisation heatmaps per team

05

Automated bench management

Technology stack

04 tools
Python (OR-Tools)FastAPIRedisD3.js
Python (OR-Tools)FastAPIRedisD3.jsPython (OR-Tools)FastAPIRedisD3.js

Case Study

Optimising 200+ Engineers Across a Systems Integrator

Executive Summary

A regional systems integrator with 200 engineers across 40 concurrent projects reduced bench time by 28% and improved billable utilisation from 64% to 81% after deploying the Resource Allocation Optimizer.

AI layer

Think Constraint-Satisfaction Engine

The AI layer models each engineer's skills, certifications, location, and leave calendar as a constraint-satisfaction problem. Google OR-Tools solves the multi-objective function (maximise utilisation, minimise travel, respect skill requirements) within seconds, surfacing the top three allocation plans.

Blockchain layer

Honesty Transparent Allocation Audit

Every allocation decision, override, and escalation is logged to an append-only ledger. Managers can trace exactly why a particular engineer was assigned to a project, preventing favouritism disputes and ensuring compliance with labour regulations.

Operational metrics

Metric

Traditional

Hybrid Ecosystem

Billable Utilisation

64%

81%

Bench Time

22%

8%

Allocation Decision Time

3 days

< 30 sec

Technical stack

Google OR-ToolsConstraint-satisfaction solver
FastAPIOptimisation API service
RedisReal-time caching layer
D3.jsUtilisation visualisations

2026 Roadmap

Q2 2026: Add contractor and freelancer pool optimisation. Q3 2026: Predictive attrition alerts. Q4 2026: Integration with Workday and BambooHR.

The optimizer paid for itself in the first month. We recaptured nearly 200 billable hours that were previously lost to manual scheduling.
PK

Peter Kamau

COO · Savannah Systems

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