All terms
Integrations

What is API Composition

Combining data from multiple services

API Composition

API Composition is a microservices architecture pattern for aggregating data from multiple services into a single client response.

How It Works

| Step | Action | |------|--------| | 1. Request | Client calls API Gateway | | 2. Decomposition | Gateway identifies needed services | | 3. Parallel calls | Requests to microservices | | 4. Aggregation | Combining results | | 5. Response | Return composite response |

Implementation Options

  • API Gateway — centralized aggregation
  • BFF (Backend for Frontend) — separate layer for each client
  • GraphQL — flexible selection via resolvers
  • Orchestrator — coordinator service

When to Use

  • Composite pages (dashboards, profiles)
  • Reports from multiple sources
  • Mobile apps (minimize requests)
  • Public APIs (hide internal structure)

Pros and Cons

| Pros | Cons | |------|------| | Fewer client requests | Implementation complexity | | Logic encapsulation | Potential latency | | Response flexibility | Transaction management |

Benefits

Process Speed. Cut order processing time by 3-4x. Instant customer responses via AI assistants. Real-time analytics accelerate decision-making. Bring new products to market 2x faster than before.

How to Start

Step 1: Pilot Project. Choose one process or department for a pilot. Run a proof of concept on limited data. Measure results and collect feedback. Scale across the company after confirming the effect.

ROI & Efficiency

Logistics ROI. Logistics costs drop 40% through route optimization. Inventory turnover increases 45%. On-time delivery reaches 95%. Product returns decrease 35% with better quality control.

Common Mistakes

Wrong Scale. Enterprise solution for a startup, or startup tool for a corporation. Choose for your current scale with room to grow. Avoid overengineering at the beginning of the journey.

Who Needs It

Real Estate & Construction. Developers managing multiple projects simultaneously. Real estate agencies with high lead volumes. Construction companies optimizing procurement. Property management companies automating facility operations.

Practical Example

Case: Healthcare Clinic. A medical center automated patient scheduling via AI assistant. 80% of appointments booked without administrator involvement. No-show rate dropped 45% via automated reminders. Doctor utilization grew from 65% to 90%.

Frequently Asked Questions

Q:Where should I start with automation?
Begin with an audit: identify processes consuming the most time. Choose 1-2 processes with repetitive steps and clear rules. Run a pilot in 2-4 weeks. Measure results and scale successful solutions to other processes.
Q:Which processes should be automated first?
Ideal candidates are repetitive tasks with clear rules: request processing, report generation, email campaigns, data reconciliation. Criteria: high frequency (daily), lots of manual work, clear business logic. Avoid starting with processes requiring frequent exceptions.
Q:How to ensure security of automated processes?
Implement security by design: access control, data encryption, audit trail from day one. Conduct regular security assessments. Set up anomaly monitoring. Ensure GDPR/regulatory compliance. Apply the principle of least privilege for all automated processes.