A Repeatable Estimation & Delivery Framework
Estimation depended on manual multipliers and a few experienced people.
Different people could arrive at different estimates because the underlying knowledge lived with a few experienced estimators.
Standard pricing and predefined benchmarks for every project type, supported by an AI-assisted framework.
More consistent estimation and a repeatable standard adopted beyond my own role.
- Request
- Project type
- Benchmark
- Estimate
- Plan
- Govern
- Report
The delivery centre needed a repeatable way to estimate projects without depending on manual multipliers and individual experience.
The knowledge behind estimates lived with a few experienced people. That made the process slower and harder to apply consistently.
Estimation is an early delivery decision. If the starting point varies, planning, expectations and governance vary with it.
I designed and led the move from manual multipliers to standard pricing and predefined benchmarks for every project type.
The issue wasn't the estimators; it was that the knowledge lived only with them.
Defined project types and benchmark logic, connected estimation to planning, and documented the framework so the team could apply it consistently.
Created repeatable estimation standards, supported by AI-assisted documentation and a delivery framework that could be used beyond my own role.
Worked through the estimation logic, documented the standards, aligned stakeholders on the approach and helped move the knowledge from individuals into the system.
Every project type had a predefined benchmark. Estimation became more consistent, faster to apply and less dependent on a small number of experienced people.
A good estimation framework doesn't make estimators better. It makes the organisation less dependent on them.