Commercial Due Diligence / Technology and Systems

Technology Architecture Selection for a PE-Backed Nursery Platform

Audience: Investors

3

ARCHITECTURE OPTIONS MODELLED

36-month

TCO WITH 4 GROWTH SCENARIOS

Six-figure

MIGRATION COST AVOIDED

Technology Stack

SELECTED BEFORE FIRST ACQUISITION


The Situation

A European PE investor was preparing to launch a de novo nursery group in the UK through a buy-and-build strategy targeting more than 25 settings over 36 months. Before acquiring the first site, the investor needed to select the technology stack that would underpin the entire platform: nursery management system, safeguarding platform, workforce scheduling, financial reporting, and the integrations connecting them.

The decision had to be made before the first acquisition because migrating technology mid-growth is expensive and operationally disruptive. The investor had no in-house early years technology expertise and needed an adviser who understood both the sector-specific platforms and the operational realities of running nurseries at scale.


What Litus Did

Litus was engaged to lead a technology selection sprint, delivering an architecture recommendation and three-year total cost of ownership model within a compressed timeframe. The sprint covered every layer of the technology stack.

01

Architecture Options

Three architecture options were modelled side by side. The first was an integrated single-platform approach using one provider for nursery management, staff records, parent engagement and basic compliance. The second was a best-of-breed specialist stack combining the strongest platform in each category: a dedicated NMS for nursery operations, a separate safeguarding platform with full audit trail capability, a specialist workforce scheduling tool, and a funded entitlement processing service. The third was an enterprise-grade version of the specialist stack with premium tiers, AI augmentation, and advanced analytics.


02

Total Cost of Ownership Model

A 36-month TCO model was built across all three options. The model captured per-site licence costs, per-child and per-user pricing, implementation costs (one-off platform setup and per-site onboarding), integration architecture costs, and 4% annual cost inflation. Costs were modelled on an accruals basis, spread monthly for PE portfolio reporting consistency.

The model included a sensitivity panel testing four growth scenarios: faster (1.5x), baseline, slower (0.65x), and stalled (no growth after year one). A migration cost analysis quantified the penalty for starting on the cheaper integrated platform and switching later.


03

Platform Evaluation

Each platform was evaluated against six dimensions: core functionality, integration architecture (API maturity, native integrations, data portability), scalability (multi-site management, group-level reporting, permission structures), data and reporting capability, implementation methodology and risk, and total cost of ownership.


The Outcome

  • Key Findings

    The integrated platform was the cheapest option at every scale. The three-year TCO at full scale was approximately 50% lower than the specialist stack. But the cost advantage was not the deciding factor.

    The specialist stack offered materially stronger integration architecture, scalability beyond 20 settings, and safeguarding governance capability. The integrated platform would have required replacement at approximately 15 settings, at a six-figure migration cost depending on timing, with significant operational disruption to staff and parents.

    The per-site premium for the specialist stack decreased with scale: from above £10,000 per site per year at low volumes to below £6,000 at full scale, because implementation costs were amortised across more sites.

  • Recommendation

    Start on the specialist stack from day one. The higher upfront cost is justified by the avoidance of a mid-growth migration and the operational capability required at scale. The cost difference is an investment in platform stability, not a premium for unnecessary features.

Key Insight

The cheapest technology is not the best technology. A platform build of this scale required architecture that would not need replacing mid-growth. The advisory fee was a fraction of the migration cost it avoided.

Engagement duration

2-week sprint.

Deliverable

Board-ready architecture recommendation with 36-month TCO model.

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