Choose the transformation motion that matches the actual constraint.
Executive teams do not need more AI possibilities. They need a clear answer on where the bottleneck sits today, which migration path resolves it fastest, and what the owned output looks like once the work is complete.
4
Solution paths
2-12
Typical engagement weeks
Owned
Output and code
0
Lock-in required
Start with the bottleneck, not the technology trend.
The right path becomes obvious when the team is clear on what is actually blocking value creation today. This section is meant to make that choice easier before a single line of migration work begins.
If the problem is
Your workflow is trapped inside a third-party operating platform.
Recommended path
Start with SaaS Migration.
When approvals, process logic, and data are all embedded in a vendor system, the path is to extract the operating model, not merely layer more automation on top.
If the problem is
Your systems are technically reachable, but agents cannot use them safely or coherently.
Recommended path
Start with API Transformation.
Most APIs were designed for developers, not autonomous systems. The work is to create a clearer tool layer, not to replace the application outright.
If the problem is
The constraint is fragmented or unusable data rather than application access.
Recommended path
Start with Data Migration.
If agents cannot retrieve governed, business-aware information, no amount of orchestration solves the decision-quality problem downstream.
If the problem is
Critical business logic is trapped inside custom software or manual operational workarounds.
Recommended path
Start with App Modernization.
The objective is to separate durable logic from brittle UI and rebuild it into maintainable, governed workflows the business can scale.
Four routes into the same executive pipeline.
Each path feeds the same MigrateForce operating model: discovery, assessed readiness, ranked intervention planning, and governed execution. What changes is the system constraint being addressed first.
Complexity
Medium to high
Typical timeline
2-8 weeks
Break dependency on legacy operating systems of record
SaaS Migration
Extract data, workflow logic, permissions, and operating context from legacy SaaS platforms, then rebuild on AI-native or custom-owned infrastructure.
Common sources
Complexity
Low to medium
Typical timeline
2-4 weeks
Make existing systems agent-ready without replacing them
API Transformation
Convert technical endpoints into semantically clear, governed tool interfaces that AI agents can use safely and productively.
Common sources
Complexity
Medium
Typical timeline
2-6 weeks
Create retrieval-ready and benchmark-ready data layers
Data Migration
Turn fragmented data sources into governed knowledge layers, RAG infrastructure, and agent-ready retrieval surfaces.
Common sources
Complexity
Variable
Typical timeline
4-12 weeks
Lift embedded business logic out of brittle interfaces
App Modernization
Analyze custom or legacy applications, isolate the business logic inside them, and rebuild it into governed agent workflows and modern system components.
Common sources
Every path produces reusable agent-ready building blocks.
The engagement does not end in a deck. It leaves behind working interfaces, governed data structures, and reusable execution assets your team can keep operating after the initial project closes.
01
Integration servers
Tool definitions, structured I/O, and authentication-aware execution surfaces.
02
AI-consumable APIs
Semantically clearer schemas, examples, and operating descriptions for agents.
03
Data connectors
RAG-ready indexes, knowledge bases, and benchmarkable evidence layers.
04
Workflow hooks
Trigger points, event handlers, and orchestration interfaces.
05
Skills and plugins
Reusable actions and delivery patterns that compound across projects.
06
Context managers
Memory, session state, and multi-step execution controls.
Run the assessment first if you want the path chosen with evidence.
A short assessment clarifies where the true bottleneck sits, what the economic upside looks like, and which migration motion is most defensible before the work begins.