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AI AGENT FOR YOUR SERVICE

Your company’s data,
useful results for users.

Use data within the business rules and access permissions your company defines.Deliver analyzed, summarized and processed results to service users.

Discuss adoptionSee how it works
More value from dataLess repetitive workBetter service experience
SERVICE AI AGENT
  1. Company dataRules & access
  2. AI AgentAnalyze & process
  3. Service usersReceive results
  • Define business rules and data scope per company
  • Use processed results in customer services

From development and testing to operations, one connected flow.

1 @app.get("/orders")2 def list_orders():3 return orders

Build.

From requirements to code.

Explore code and SQL creation and review.

Run.

From code to service.

See the runtime and resource connections.

Grow.

The next step in operations.

Manage resources as your service grows.

01 / BUILD

Business requirements,
ready for code review.

From requirements to code, SQL, review and testing.

Requirements

Code & SQL

Review & test

Explore Code Builder

Code Builder

Illustrative example

Requirements summary

List orders

Find orders by customer

Check the response format

Python

1@app.get("/orders")2def list_orders():3    return orders4

Illustrative example

02 / RUN

Resources for execution,
operations built in.

Explore business execution, resource connections, capacity control and log collection.

Controller · Gateway/Worker resource control
  1. RequestRequest
  2. GatewayReceive requests
  3. WorkerRun business logic
  4. ResultReturn results
Database
Storage
External API
Logger · Asynchronous log collection

Controller: adjust processing capacity to match load

Logger: collect execution logs asynchronously for each customer and provide a dedicated log viewer

03 / GROW

As your service grows,
keep resources flexible.

Adjust processing capacity as demand changes. Review execution history and resource allocation as you operate.

  1. 01 / Understand usage

    Use request volume and customer-specific execution history to see when and how business features are used.

  2. 02 / Adjust capacity

    Adjust processing capacity to match the load during busy periods.

  3. 03 / Review efficiency

    When usage drops, review resource allocation to reduce unnecessary use and waste.

04 / SERVICE AI AGENT

Order history,
summarized at a glance.

An example that summarizes the last seven days of authorized order data and presents it on the user’s order dashboard.

Order history summary

Illustrative example

  1. Company data

    Authorized order records and amounts

  2. AI Agent processing

    Summarize the last seven days of orders under business rules

  3. Service users

    View order counts and totals on the order dashboard

Questions?
Start here.

Your next service,
designed together.

Tell us about your team’s work and operating environment.

Discuss adoption