Add AI to an existing product
Introduce a model-enabled capability while preserving the product, users, permissions, and business logic already in place.
START WITH THE SITUATION
What needs to work differently?
You do not need to arrive with an architecture or know whether the answer is an agent, retrieval, automation, or a conventional software change. Start with the task and the system around it.
EIGHT STARTING POINTS
Choose the closest operating problem.
Modernization & Integration↗
Automate manual workflows
Connect the systems and decisions people currently bridge by hand, keeping rules predictable and exceptions reviewable.
Build a new AI-enabled product
Design the user experience, application, model layer, and production operations as one coherent product system.
Connect company knowledge
Make approved documents and sources searchable, permission-aware, cited, and useful within real tasks.
Build agents around current systems
Let a bounded system retrieve context, select approved tools, and escalate decisions when judgment matters.
Connect software through MCP
Expose approved application resources and actions to compatible AI clients through a controlled protocol layer.
Add an embedded copilot
Put assistance inside the workflow and interface people already understand instead of attaching a generic chat panel.
Add voice or conversation
Use speech or conversation where it genuinely reduces friction, with task state, tools, latency, and handoff designed in.
ARCHITECTURE FOLLOWS
Several solutions may sound similar from a distance.
An automation follows a largely known path. An agent chooses among approved actions when the path depends on context. Retrieval supplies current knowledge. Fine-tuning changes model behavior rather than giving it current private facts. MCP can standardize how compatible clients discover application tools and resources.
The right design can combine these patterns, but it should not combine them by default. CodeCradle works backward from the behavior, risk, data, users, and existing software before choosing the mechanism.
Compare RAG, tool use, and fine-tuningWHERE THIS APPLIES
Technology context, not invented industry expertise.
01 / Existing SaaS02 / Product teams03 / Internal operations04 / Customer support05 / Knowledge-heavy work06 / Back-office workflows07 / New software products
NEXT STEP
Bring the problem before the solution.
A 30-minute conversation can usually clarify whether the next step is discovery, a focused prototype, or a defined engineering project.