An architecture without an exit plan creates dependency, not a decision.

Technology integration is a lifecycle methodology spanning business objectives, current-state visibility, target architecture, and controlled transition into managed services. Sanal Çekirdek designs each layer around the same objective, risk boundary, acceptance criteria, and operating model, so outcomes remain owned after go-live.

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1. Define the business objective

We clarify the business outcome behind the technical request, affected users and services, time pressure, acceptable risk and definition of success. Exclusions are documented with the same clarity.

Problem and business impact
Baseline
Success and acceptance criteria
Scope, assumptions and constraints

2. Make the current state visible

We map assets, data flows, integrations, identity and network paths, cost, contracts, risk and day-to-day ownership. Unknowns remain explicit questions rather than hidden assumptions.

Inventory and dependencies
Technical debt and control gaps
Service and supplier ownership
Data, security and continuity requirements

3. Target architecture and roadmap

Technology decisions are made alongside security, data, integration, operational and exit requirements. The target state is divided into practical transition waves based on dependency and value rather than imposed in one step.

Architecture decisions and alternatives
Transition waves
Testing, acceptance and rollback
Cost, risk and ownership

4. Controlled transition and managed services

Pilots and initial transitions are tested under production-like conditions. Delivery is not considered complete until observability, backup, security and support are operational. Evidence from running the service feeds the improvement plan.

Small, reversible changes
Evidence-based acceptance
Runbooks and responsibility matrix
Service reviews and improvement

How we work

Share the context
Clarify expectations and responsibilities
Build the right expertise model
Set a transparent decision and governance rhythm
Review the outcome together

How success is measured

Open critical assumptions and dependencies
Transition waves meeting acceptance criteria
Failed changes and rollbacks
Improvements closed through operational evidence

Frequently asked questions

How long does discovery take?

It depends on scope. Discovery for an initial decision can remain focused, while detailed inventory and dependency work deepens in later waves. Timing depends on documentation and stakeholder access.

Who selects the technology?

Sanal Çekirdek presents technical options, risks and total impact. Final decisions are made with customer owners and relevant security, data, legal/compliance and procurement stakeholders.

Is documentation delivered at the end?

Depending on scope, deliverables can include target architecture, decision records, configuration, test evidence, runbooks, responsibility matrix and known risks. Ongoing maintenance is defined by the managed-service scope.

Why consider exit at the start?

If data, configuration, licensing, knowledge and supplier dependencies are not designed for portability, change later becomes expensive and risky. Exit planning protects organizational control; it does not presume supplier replacement.

Connect technical decisions to service and exit responsibility from the first step.

Plan an initial assessment