IT that enables AI instead of blocking it
Industry benchmarks from Gartner, Forrester and Deloitte consistently place legacy maintenance at 60–80% of enterprise IT spend, leaving 20–40% for anything new. Gartner projected that by 2025 companies would spend 40% of IT budgets servicing technical debt alone, and Deloitte’s banking research found actual legacy TCO runs 3.4× initial estimates once compliance, integration friction and innovation drag are counted. The 2026 benchmark for a healthy portfolio is 40–45% innovation to 55–60% maintenance. Organisations that have completed modernization report 25–35% lower infrastructure cost, 40–60% faster release cycles and 20–40% lower TCO over three years.
Every AI ambition runs into this constraint. Agents, copilots and analytics need APIs, clean data and cloud elasticity that legacy estates cannot provide.
Equity
technical debt
Weeks 4–6
rationalisation
KPIs
What we modernize
Application portfolio rationalisation
nventory, business-value and technical-health scoring, retire-replace-refactor decisions.
Cloud strategy and migration
Target architecture, migration waves, FinOps.
Integration and API layer
API-led access to legacy data without big-bang replacement.
Data platform readiness
Data lake and governance foundations for analytics and AI. Technology SaaS.
IT operating model
Product-oriented teams, service management, vendor and cost management.
AI Ready Architecture.
Model hosting, RAG infrastructure and governance through CognitiveCore
60–80%
Of IT budgets consumed by maintenance (Gartner, Forrester, Deloitte)
25–35%
Lower infrastructure cost after modernization (industry data)
40–60%
Faster release cycles (industry data)
3.4×
Actual legacy TCO versus estimate (Deloitte)
