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Case study / Staffing Solutions

Staffing · Energy and Utilities

Eleven contractors, and no definition of done.

Capacity that had been contracted as individual monthly headcount was re-scoped into three bounded work packages and one dedicated pod — so that programme completion became a reportable figure, and the knowledge held by three individuals became documentation before any of them left.

5 weeks→8 days
ramp to productive contribution
3 → 0
single-person system dependencies
11 → 4
separate engagements to manage

Situation

The context

Eleven contractors had been engaged individually across an eighteen-month grid-data programme, each on a rolling monthly basis. Three held knowledge of business-critical components that existed nowhere else, replacement ramp was averaging five weeks, and the programme could not state what proportion of its scope was complete.

Every individual engagement was performing. The programme still could not say how much of it was done.

The first task was not to replace anybody. It was to determine which parts of the work were genuinely deliverables with an edge, and which were continuing capacity — because those are two different things and both had been bought the same way.

Intervention

The intervention

The work was separated into what had an edge and what did not. Three bounded packages were scoped, priced and moved to Aevis delivery accountability; the continuing capacity became one dedicated pod with cross-cover written into its composition.

Shape

Deliverables separated from continuing capacity

Packages

Scope, acceptance criteria and price agreed before start

Dedicated pod

Standing capacity with cross-cover by design

Knowledge capture

Documentation as an acceptance condition

Delivery path

The dependencies were closed before anybody left.

Knowledge capture was sequenced first rather than treated as an exit activity, because the point at which somebody resigns is the point at which it can no longer be negotiated.

  1. Weeks 01–03

    Assess

    Mapped the work against the four engagement shapes, identified which parts had a definable edge, and located the single-person dependencies.

    Decision gateEngagement shapes agreed with the alternatives priced
  2. Weeks 04–07

    Package

    Scoped and priced three work packages with acceptance criteria, and defined the pod’s composition, cross-cover and review points.

    Decision gatePackage scope and pod composition approved
  3. Weeks 06–14

    Capture

    Made documentation of the three critical components an acceptance condition on the first package, so it happened while the individuals concerned were still engaged.

    Decision gateCritical-component documentation accepted
  4. Ongoing

    Run and review

    Delivered the packages against acceptance, ran the pod against agreed review points, and reported programme completion against accepted scope.

    Decision gatePackage acceptance and periodic pod review

Operating shift

Nothing changed about the people. Everything changed about the contract.

The same individuals largely continued. What moved was where delivery risk sat and what the programme could state about itself. These are the practical shifts the case study is designed to make visible.

FromHeadcount by the month

ToDeliverables with an edge

Three parts of the work turned out to have acceptance criteria, and pricing them that way moved delivery risk to the supplier.

FromProgress reported as effort

ToCompletion reported as scope

Accepted packages gave the programme a denominator, which is what it had been missing rather than a reporting tool.

FromKnowledge in three people

ToKnowledge in documentation

Capture was an acceptance condition on paid work, not an end-of-contract courtesy that competes with a handover deadline.

FromEleven engagements

ToFour commercial relationships

Renewal, review and escalation became four conversations rather than eleven, without reducing the capacity available.

Evidence record

A result with its provenance attached.

The published story keeps the result, the supporting artefact and its limit together.

5 weeks→8 days
ramp to productive contribution
3 → 0
single-person system dependencies
11 → 4
separate engagements to manage

Evidence attached

  • Engagement-shape assessment with alternatives priced
  • Work-package scope and acceptance criteria
  • Critical-component documentation, accepted
  • Pod composition, cross-cover and review record

Capabilities involved

  • Work-package-based staffing
  • Dedicated teams
  • Technical screening and sourcing
  • Onboarding and knowledge transfer
  • Continuity and replacement cover
  • Delivery governance

How to read these figures

Nature of the work
No AI involved. Assisted matching was not used on this engagement; the existing individuals were retained rather than so
Baseline
Eleven individually contracted engagements, an average replacement ramp of five weeks, and three components whose operating knowledge existed in one person each.
Data sources
The client’s programme records, engagement contracts and onboarding logs, together with the assessment produced in the first phase.
Human-control point
Package scope and acceptance criteria were approved by the client’s programme director, who also accepted each package. Pod composition and review outcomes were agreed at the same forum.
Technology used
None specific to the result. The change was to the engagement structure and to where documentation was held.
Measured result
Ramp to productive contribution fell from five weeks to eight days as documentation accrued; the three single-person dependencies were closed; eleven engagements became four.
Evaluation period
The fourteen-week restructuring, plus two subsequent package cycles.

Bring your context

Buying people by the month for work that has an edge?

Tell us what has to be true at the end and by when. The answer usually decides how it should be contracted, and it is often not how it is contracted now. We will be precise about which experience transfers.

Response
One working day, Monday to Friday

Enquiry attributed toEnergy capability-pod case study

No case-study outcome is presented as a forecast or guarantee. Scope, measures and responsibility are agreed for your environment.