Labs Now services

AI solutions designed around how your organization works.

From focused prototypes to production platforms, Labs Now combines AI engineering, workflow design, integration, and implementation support.

Core services

Strategy, implementation, and connected operations.

Each service can be delivered independently or combined into a phased product and automation program.

AI Voice Agent Solutions

Conversational voice systems for inbound requests, outbound follow-up, scheduling, qualification, and service operations.

  • Natural conversations
  • Business-system actions
  • Escalation to people

Domain-Trained LLM Agents

Specialized assistants grounded in approved content, operating procedures, and domain-specific boundaries.

  • Private knowledge retrieval
  • Defined workflow scope
  • Evaluation and guardrails

AI Voiceover

Consistent synthesized voice experiences for product content, training, explainers, and multilingual communication.

  • Reusable voice profiles
  • Script production
  • Content localization

AI Workflow Automation

Connected automations that classify work, move data, trigger approved actions, and route exceptions.

  • Process discovery
  • Orchestration
  • Monitoring and optimization

Custom AI Development

Purpose-built applications and intelligence layers for workflows where generic products are not sufficient.

  • Product design
  • Model and API engineering
  • Production deployment

Systems Integration

Secure integration with the CRM, ERP, communications, knowledge, and data platforms your organization already uses.

  • API development
  • Data synchronization
  • Identity and access
Delivery model

A practical path from opportunity to operation.

01

Discover

Map the current workflow, constraints, users, systems, and target outcome.

02

Design

Define the solution architecture, interfaces, controls, and human checkpoints.

03

Build

Implement reusable components, integrations, evaluations, and operational tooling.

04

Launch

Deploy, monitor, train users, and improve performance against measurable goals.

A practical place to start

Bring one process that needs improvement.

We will identify the right automation boundary, integrations, delivery approach, and success measures.

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