ANDIP LIVE
Technology

Complementing Voice AI, Not Replacing It

ANDIP LIVE proposes an intelligence layer that connects voice conversations to evidence, business policy, and distributed supporting-agent execution. It is designed to complement the broader ANDIP platform, not claim ownership of every layer.

01 — Four-layer stack

A clear relationship between conversation, intelligence, execution, and systems

The proposed stack keeps responsibilities visible so integrations can be evaluated independently.

ANDIP LIVE technology relationship

Conceptual

Four-layer technology stack for ANDIP LIVE Four stacked horizontal bands identify the voice provider layer, ANDIP LIVE intelligence layer, distributed supporting-agent execution, and external data and business systems. Each band has a right-side annotation describing its responsibility. LAYER 01Voice ProviderConversation path VOICE PROVIDER LAYERAudio · turn-taking · primary agent responseRESPONSIBILITYKeeps the live conversationwith the caller LAYER 02ALIIntelligence path ANDIP LIVE INTELLIGENCE LAYERBroker · evidence · policy · incremental deliveryRESPONSIBILITYTurns a request intoqualified supporting work LAYER 03ANDIP workersExecution path DISTRIBUTED SUPPORTING-AGENT EXECUTIONParallel tasks · tools · worker isolation · task stateRESPONSIBILITYRuns bounded work withvisible resource use LAYER 04External systemsData and authority EXTERNAL DATA AND BUSINESS SYSTEMSPolicies · inventory · records · approved sourcesRESPONSIBILITYSupplies authorized contextand records of truth
Live communicationIntelligence and infrastructureExecution and decision workControl systems and external authority
Voice Provider Layer
The connected provider handles listening, speaking, turn-taking, and the primary conversation.
ANDIP LIVE Intelligence Layer
ALI is the proposed broker and qualification layer for live requests, evidence, policy, and incremental updates.
Distributed Supporting-Agent Execution
ANDIP coordinates bounded workers, tools, task state, and resource use across available computing environments.
External Data and Business Systems
Connected sources supply context and authority; permissions and data quality remain integration responsibilities.
02 — Integration goal

Provider-neutral integration

Provider neutrality is an architectural goal, not a completed integration or a promise of universal compatibility.

Intended boundary

Common intelligence contract

The proposed interface asks a connected voice agent to provide a structured question, context, deadline, permissions, and budget. It returns status, evidence, and recommendations without requiring the intelligence layer to own the audio session.

Open validation

Integration quality must be proven

Each provider may expose different event models, timing behaviour, tool controls, and authorization patterns. Compatibility will require implementation, testing, and operational evidence; no provider integration is represented as complete here.

The goal is to avoid tying the intelligence concept to one voice runtime while staying honest about the work required for each real integration.

Integration boundary

Architectural goal

Provider-neutral integration boundary between a voice session and ANDIP LIVE A voice provider session sends a structured request across a neutral boundary to ANDIP LIVE. ANDIP LIVE returns status and qualified evidence while the provider retains the conversation. The boundary is marked as a goal requiring validation. VOICE SESSIONProvider keeps audioand primary conversation NEUTRAL CONTRACTStructured request inStatus and evidence out ALIBroker and supportingintelligence work Goal, not completed integration — provider-specific testing remains required

The boundary is an intended design surface, not a claim that any named provider is currently connected.

03 — Potential technologies

Compatible in principle; unclaimed in practice

OpenAI Realtime, ElevenLabs, LiveKit, Google Cloud, AWS, and Microsoft are mentioned only as potential integration technologies. No partnership, endorsement, or completed integration exists.

Category comparison: what adjacent technology categories can provide and what ANDIP LIVE proposes to add
CategoryWhat the category providesANDIP LIVE focus
Voice and speech platformsAudio transport, speech recognition, synthesis, conversational sessions, or real-time interaction primitives.Structured intelligence requests and qualified recommendations alongside the active conversation.
Agent frameworksPrompting, tool calls, agent composition, or application-level reasoning patterns.Deadline-aware brokering, evidence quality, business policy evaluation, and incremental delivery across specialists.
Workflow automationDurable steps, scheduled work, retries, and business process orchestration.A live-request path that prioritizes the conversation, limits work, and exposes useful partial results.
ANDIP LIVE proposalProvider-neutral intelligence coordination connected to a voice agent and external systems.ALI plus ANDIP distributed execution, with monitoring, isolation, evidence, and cost visibility still under development.

Technology names above identify possible categories or integration surfaces only. They do not imply a commercial relationship, endorsement, or tested compatibility.

04 — The relationship

Complementing Voice AI, Not Replacing It

Adjacent categories already provide important pieces of the conversation and agent stack. ANDIP LIVE is proposed as a coordination and intelligence layer around those pieces.

Overlap is expected. A useful platform cannot assume that every valuable capability belongs to one product boundary.

Voice providers, agent frameworks, workflow systems, and business platforms may each offer overlapping retrieval, tool use, memory, or orchestration features. The relevant question is not whether overlap exists; it is whether a connected design can deliver the right evidence, within the live interaction's constraints, under appropriate control.

ANDIP LIVE's differentiation must therefore be validated through integration quality, latency behaviour, evidence handling, and operational control—not asserted through category labels.

Validation lens

What to test

  • IntegrationCan a provider exchange structured state reliably?
  • LatencyDoes useful information arrive before the conversation needs it?
  • EvidenceCan claims be traced and qualified?
  • ControlCan cost, permissions, and failure states be observed?
05 — Measurement

Engineering objectives and how they will be measured

These are design goals for experiments and future validation, not results or verified benchmarks.

End-to-end response latency

Measure the time from a structured request to a qualified response across representative provider and system paths.

Time to first useful result

Track when the first evidence or operational signal can help the primary agent, separate from full task completion.

Task completion and failure recovery

Measure bounded-task completion, explicit failure reporting, and safe continuation or retry behaviour.

Evidence verification quality

Evaluate source traceability, freshness, conflict handling, confidence, and evidence-quality signals.

API consumption

Observe calls, tokens or equivalent resource units, retries, and unnecessary work against the request budget.

Cost per assisted conversation

Estimate supporting-work cost in context, with assumptions visible and no claim of a proven unit economics result.

06 — Parent platform

What ANDIP provides

ANDIP is the Agent-Native Distributed Infrastructure Platform that supplies the broader execution and control context for the live intelligence proposal.

The parent platform is intended to coordinate multiple agents across available computing resources while keeping the work inspectable and bounded.

Coordinate
Route multiple agents and supporting tasks across available resources.
Manage
Operate execution environments and task lifecycles.
Track
Record task state and collect results for the requesting workflow.
Control
Monitor resource consumption and maintain worker isolation.
Relationship to ALI

ALI — ANDIP Live Intelligence is the proposed real-time intelligence layer; ANDIP supplies the broader distributed execution and management foundation. Both remain under development.

Examine the proposal at the right level

Move from the architecture overview to the broker concept, documentation direction, or the community alpha plan.

ArchitectureLive Decision BrokerDocumentationCommunity Alpha