AI systems that capture, qualify and book revenue at scale.
We design, implement and govern production-ready agents, workflows and apps for SMB to enterprise teams.
Designed for leaders who own a P&L
You are responsible for revenue, margins and headcount.
We design and implement AI systems that respect those constraints.
LB Labs works with SMB and enterprise teams to map where agents, workflows and apps create measurable value.
We then ship production systems with clear SLAs, dashboards and ownership.

What we deliver
AI consultancy
Strategy, roadmap and governance for AI use across revenue and operations.
Custom agents and workflows
Voice, chat and back-office agents aligned to your processes and stack.
Web and mobile apps
Internal tools and customer interfaces built on your data and AI services.
Ready-to-ship products
Voice agents, social automation, outreach agents, content automation, appointment/FAQ bots.

Outcomes we target in the first 90 days
- →20–40% more qualified opportunities from the same or lower media spend.
- →30–60% reduction in manual handling of routine enquiries and bookings.
- →10–25% faster lead response and handoff across sales and service.
- →Single dashboards for core revenue and operations KPIs.
How we work with your team
Discovery and design
Stakeholder interviews, stack review, data audit and risk assessment.
Pilot build
Implement a focused pilot with clear success metrics and guardrails.
Scale and standardise
Roll working patterns into more teams, markets or products.
Govern and refine
Ongoing monitoring, A/B testing and incident response.
Selected outcomes
Clinics/Practices
Inbound calls and bookings up 40% with flat media spend, no more missed calls.
Service Delivery
Centralised dashboards for all locations, daily view of booked jobs, automated quotes and bookings.
Ecommerce/Online
Always-on acquisition and remarketing flows with agent-level reporting, 24 hour customer support.
Client testimonials coming soon
Governance, compliance and support
We design systems with governance from day one.
That includes:
- →Documented prompts, escalation paths and human-on-the-loop controls.
- →Audit trails for decisions and changes to models and automations.
- →Consideration for Australian Privacy, Spam and Consumer Law when handling personal data and outbound messages.
- →SLAs for uptime, latency and incident response defined per engagement.

