A

AfriRoute

Developer Portal

public api
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AI Platform

Use AfriRoute AI as documented developer capability, not vague platform branding

The developer portal should explain where AI is used in real developer workflows: routing, chatbots, provider integrations, observability, and grounded documentation support.

Documented AI surfaces

Developers should see AI where they can actually use it

AI routing and delivery optimization
AI chatbots across supported channels
AI provider and model integrations
AI-assisted analytics and delivery visibility
Grounded AI assistant inside docs
Operator and route intelligence in console and dashboards

Keep this section operational and developer-facing. Show endpoints, payload patterns, workflows, and limits. Do not turn AI into generic platform copy without implementation guidance.

Start from the real jobs

AI Routing

Explain how delivery probability, latency, route health, cost, and fraud-aware signals guide operator selection.

AI Chatbots

Show bot creation, channel connection, webhook handling, and where model-backed responses fit into the flow.

AI Provider Integrations

Document how teams configure providers, model choices, completion services, and safe fallback behavior.

AI Assistant

Keep the docs copilot grounded in the same public sources the rest of the portal uses.

AI assistant rules

Use public/openapi.json, docs, examples, SDKs, and troubleshooting pages as the retrieval set.
Do not expose private routing logic, carrier pricing, or uncurated operator dashboards.
Route deep questions back into the right docs page instead of inventing a second documentation system.
Keep prompts aligned with real developer jobs like sending SMS, verifying OTPs, or testing webhooks.

Suggested AI assistant prompts

How does AI routing work?

Use the AI routing docs to understand how delivery probability, latency, route health, fallback readiness, and fraud-aware signals influence route choice. Then inspect the result through routing decisions, routing insights, network coverage, and delivery performance pages.

How do I build an AI chatbot?

Create a bot, connect the supported channel, attach webhook behavior, then configure the AI provider and model. Start from the AI Chatbots page and connect it back to WhatsApp, contact center, or webhooks depending on the flow.

How do I connect OpenAI or another model provider?

Use the AI provider integration surface to configure providers, models, and completion behavior without separating AI from your messaging, bot, or support workflow. Keep provider setup near the channel or webhook flow that consumes it.

How does AfriRoute route messages across operators?

Use the network and performance docs to understand how AfriRoute routes through channel-specific connectors while monitoring delivery rate, latency, retries, and carrier health.

Which carrier route is healthiest?

The performance surface should show route health by carrier and country using delivery rate, latency, route failures, and traffic volume so developers understand how AfriRoute optimizes delivery.