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Multi Tower Solutions

  • Writer: Anand Nerurkar
    Anand Nerurkar
  • 2 hours ago
  • 5 min read

Multi-tower enterprise solutions refer to large, end-to-end business solutions that span multiple technology and delivery “towers”, each owned by different teams, vendors, or competencies, but orchestrated as one integrated outcome.

What does “tower” mean?

A tower is a major capability or service domain in enterprise IT.

Typical enterprise towers include:

Technology Towers

  • Application Development & Maintenance (ADM)

  • Cloud & Infrastructure (AWS / Azure / GCP, DC, Network)

  • Data & Analytics (DWH, Lake, BI, ML/AI)

  • Integration & Middleware (API, ESB, Kafka)

  • Security & IAM

  • DevOps / SRE / Platform Engineering

Business / Functional Towers

  • Core Banking / Lending / Payments

  • CRM / Customer Experience

  • Risk, Compliance & Regulatory

  • Finance / ERP

  • Operations & BPM

Delivery / Operations Towers

  • Program Management

  • Testing / QA

  • Support & Run / ITSM

  • Vendor & Partner Management

What makes a solution “multi-tower”?

A solution becomes multi-tower when:

  • It cuts across several towers simultaneously

  • Each tower has different teams, tools, SLAs, and vendors

  • Success depends on tight orchestration, not isolated delivery

Example

A Digital Lending Platform (very relevant to BFSI):

Tower

Responsibility

App Dev

Loan origination, portals, mobile apps

Data & AI

Credit scoring, fraud detection

Integration

APIs to bureaus, KYC, payments

Cloud

AKS/EKS, networking, DR

Security

IAM, data privacy, regulatory controls

DevOps

CI/CD, monitoring, reliability

This is a multi-tower enterprise solution.


It signals that you can:

  • Think end-to-end, not siloed

  • Align business, architecture, and delivery

  • Manage multiple vendors and internal teams

  • Handle scale, risk, and dependencies

  • Deliver complex transformation programs


Summary

“Multi-tower enterprise solutions are end-to-end programs that span multiple technology and business domains—applications, cloud, data, integration, security, and operations—delivered through coordinated cross-functional teams.”


“A multi-tower enterprise solution is an end-to-end program that spans multiple technology and business domains—applications, cloud infrastructure, data & AI, integration, security, and operations.In my role, I lead cross-functional internal teams and partners across these towers, ensuring architecture alignment, dependency management, and on-time delivery of complex transformation programs, especially in regulated BFSI environments.”

2️⃣ Mapping to BFSI / Digital Banking / AI Experience

Example: Banking Modernization / Digital Lending

Tower

Your Role & Responsibility

Business & Product

Define target-state capabilities, KPIs, and regulatory outcomes

Application

Microservices-based loan origination, core banking integration

Data & AI

Credit scoring, fraud detection, ML retraining pipelines

Integration

Kafka, API gateway, bureau & fintech integrations

Cloud & Platform

Azure AKS, networking, active-active DR

Security & Compliance

IAM, data privacy, RBI / PCI / ISO controls

DevOps / SRE

CI/CD, observability, SLA & SLO governance

Vendors & Partners

SI coordination, fintechs, cloud providers

Top 5 Challenges & Risks in Multi-Tower Enterprise Solutions and How I Handled Them

1️⃣ Cross-Tower Dependency & Integration Risk

Challenge / Risk

  • Multiple towers (Apps, Cloud, Data, Integration, Security) working in silos

  • One delay or design change cascading across the program

  • Integration failures discovered late

How I Handled It

  • Established end-to-end architecture governance and dependency mapping

  • Introduced contract-first APIs, event schemas, and integration standards

  • Ran integration sprints early (shift-left integration testing)

  • Used architecture runway planning across releases

👉 Outcome: Reduced integration defects and avoided last-minute surprises.

2️⃣ Vendor & Partner Alignment Risk

Challenge / Risk

  • Multiple SIs, fintechs, and cloud vendors with conflicting incentives

  • “Not my responsibility” mindset between towers

  • SLA gaps at hand-offs

How I Handled It

  • Defined clear RACI per tower and cross-tower outcomes

  • Shifted governance from tower SLAs to end-to-end business KPIs

  • Conducted weekly multi-vendor war rooms

  • Made architecture and delivery metrics transparent to all partners

👉 Outcome: Improved accountability and smoother cross-vendor execution.

3️⃣ Security, Compliance & Regulatory Risk (Critical in BFSI)

Challenge / Risk

  • Regulatory non-compliance (RBI, PCI, data residency)

  • Security controls added late, causing rework

  • Conflicting priorities between speed and compliance

How I Handled It

  • Embedded security & compliance by design (not as a gate)

  • Partnered early with Risk, Legal, and Compliance teams

  • Introduced policy-as-code, IAM standards, and audit-ready logging

  • Conducted threat modeling and compliance checkpoints per release

👉 Outcome: Zero critical audit findings and faster regulatory approvals.

4️⃣ Scale, Performance & Reliability Risk

Challenge / Risk

  • Systems performing well in isolation but failing under enterprise load

  • Poor resilience across cloud, data, and integration layers

  • Inconsistent SLOs across towers

How I Handled It

  • Defined non-functional requirements (NFRs) upfront at solution level

  • Introduced SRE practices, SLOs, error budgets

  • Designed for active-active, auto-scaling, and graceful degradation

  • Ran performance and chaos testing across integrated flows

👉 Outcome: Stable production systems with predictable SLAs.

5️⃣ Change Management & Organizational Resistance

Challenge / Risk

  • Teams comfortable with legacy ways of working

  • Resistance to cloud, DevOps, AI, or platform models

  • Skill gaps across towers

How I Handled It

  • Built a clear transformation narrative tied to business value

  • Invested in enablement, reference architectures, and accelerators

  • Introduced phased migration and quick wins

  • Mentored tower leads to think enterprise-first, not silo-first

👉 Outcome: Higher adoption, faster delivery, and sustained transformation.

Summary

“The biggest risks in multi-tower programs are cross-tower dependencies, vendor misalignment, security compliance, scalability, and change resistance.I mitigate these through strong architecture governance, business-aligned KPIs, security-by-design, SRE practices, and proactive stakeholder management—ensuring predictable delivery and regulatory compliance at enterprise scale.”

Top 5 Challenges & Risks + How You Handled Them (Executive View)

#

Challenge / Risk

How You Addressed It

1

Cross-tower dependencies & integration failures

Enterprise architecture governance, API-first, early integration testing

2

Vendor & partner misalignment

RACI, business KPIs over tower SLAs, multi-vendor war rooms

3

Security & regulatory compliance (BFSI)

Security-by-design, policy-as-code, early risk team engagement

4

Scale, performance & reliability

SRE, SLOs, active-active architecture, chaos & performance testing

5

Change resistance & skill gaps

Clear transformation narrative, enablement, phased migration

4️⃣ STAR-Format

SituationLarge BFSI modernization spanning applications, cloud, data, integration, and security.

TaskOwn end-to-end delivery and manage cross-tower risks.

ActionDefined reference architecture, aligned vendors to business KPIs, embedded security and reliability by design, and drove organizational change.

ResultPredictable delivery, regulatory compliance, scalable platforms, and faster time-to-market.

5️⃣ Two Strong Presales / Delivery War Stories

War Story 1 — Digital Lending (Multi-Tower BFSI)

  • Orchestrated app, cloud, data/AI, integration, and security towers

  • Introduced event-driven architecture and API governance

  • Delivered compliant, scalable lending platform

One-liner:

“I led multiple technology towers and partners to deliver an end-to-end digital lending platform in a regulated environment.”

War Story 2 — Cloud & Data Modernization

  • Migrated legacy platforms to cloud-native, active-active architecture

  • Embedded security, compliance, DevOps, and observability

  • Enabled AI and analytics use cases

One-liner:

“I transformed legacy infrastructure into a scalable, cloud-ready, AI-enabled platform by coordinating multiple technology towers.”

6️⃣

Q: How do you balance speed vs compliance?

“By embedding compliance into architecture and CI/CD pipelines, not treating it as a final gate.”

Q: How do you handle vendor conflicts?

“By shifting focus from tower SLAs to shared business outcomes.”

Q: How do you measure success?

“Through end-to-end KPIs—availability, time-to-market, risk reduction, and business impact.”


 
 
 

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