Strategic

Context Engineering

Deliver the right context to AI -- less noise, more relevance -- without MCP sprawl.

Strategic

API Reusability

Turn reuse into a measurable, repeatable practice -- by making capabilities discoverable.

Strategic

Agent Orchestration

Agents are inevitable. Chaos is optional.

Strategic

API Governance

Establish a repeatable, low-friction operating model for API governance across the full lifecycle -- so standards and controls are enforced consistently without slowing delivery.

Practical

AI Integration

Connect AI assistants to your systems through capabilities, so they can access trusted business data and actions without custom glue code.

Practical

Rightsize AI Context

Expose only the context an AI task needs, reducing noise, improving relevance, and keeping prompts efficient.

Practical

Compose AI Context

Combine data from multiple APIs into one capability to deliver richer, task-ready context to AI clients.

Practical

Elevate an Existing API

Wrap a current API as a capability to make it easier to discover, reuse, and consume across teams and channels.

Practical

Rightsize a Set of Microservices

Create a simpler capability layer over many microservices to reduce client complexity and improve consistency.

Practical

Rightsize a Monolith API

Extract focused capabilities from a broad monolith API so consumers get only what they need for each use case.

Design Approach

MCP-First Design

Design capabilities first for MCP clients, then map them to underlying APIs for a clean AI-native integration model.

Design Approach

API-First Design

Start from existing APIs and define reusable capabilities on top, so API investments can power new AI and app experiences.

FinOps

AI FinOps

Costs are unpredictable -- tokens, models, and upstream API usage. You can't govern, secure, or optimize what you can't see.