AfriRoute is governed, explainable, AI-native communication infrastructure for telecoms, enterprises, and governments.
Twilio is API-first. Contact-center vendors are app-level. AI bot platforms are black boxes. AfriRoute is built as infrastructure with governance-first controls: policy precedence, audit evidence, explainability, and safe operations across low-connectivity environments.
AI is not autonomous power. AI is governed capability.
These are the technical building blocks that make AI trusted in regulated, high-stakes environments.
AI agents are first-class entities with identity, permissions, SLAs, and lifecycle state.
Why this route? Why this agent? Why this fallback? Trace per decision with reason codes and confidence.
Country templates and policy precedence enforced at runtime for telecom, banking, gov, and emergency modes.
AI agents join queues like staff, supervised by humans with escalation thresholds and override controls.
Disable AI by queue, tenant, region, or channel—without downtime.
Roles, approvals, immutable audit logs, and evidence exports for regulators and enterprise security teams.
Answer “Why did the system do this?” in under 10 seconds.
Every AI decision carries a confidence score. The platform enforces configurable thresholds that determine whether AI proceeds, escalates, or blocks — ensuring humans stay in control.
AI proceeds autonomously. Decision logged with full trace.
AI pauses execution and routes to human supervisor for approval.
AI action blocked. Alert sent to ops team. Manual override required.
Note: Thresholds are configurable per tenant, per intent, and per channel. Regulated industries (banking, government) can set stricter thresholds requiring human review for all AI decisions.
Instantly disable AI at any scope — without downtime. Every activation is logged with timestamp, actor, and reason for audit compliance.
Disable all AI for a specific tenant instantly
killswitch.activate({ tenantId: "tn-bank-001" })Disable AI on a specific channel (SMS, Voice, USSD)
killswitch.activate({ channel: "voice" })Disable AI for a specific contact center queue
killswitch.activate({ queueId: "q-billing-001" })Disable AI within a specific workflow/intent
killswitch.activate({ intent: "routing.recommend" })AfriRoute is model-agnostic. Multiple LLM providers can serve the same workflow, with deterministic fallback chains, per-intent routing, and full model identity tracking in every audit record.
Every AI invocation records provider, model name, version, and the governing policy set. No anonymous model calls.
Each intent (summarize, route, classify) has a fallback chain with timeout budgets. If model A fails, model B runs — same envelope, same policy.
Regulated tenants can require storing only prompt metadata (hashes, template IDs, policy references) — no raw prompt leakage to logs.
Handoff between models is always envelope-to-envelope with full schema validation. No free-form text exchange between models.
Our forthcoming whitepaper describes the complete governance framework — confidence scoring, policy precedence, audit evidence export, kill switch architecture, and regulatory alignment for banks, telecoms, and government agencies operating globally.
Expected publication: Q3 2026