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Practical AI consulting for business operations and growth.

We work with teams that need AI grounded in how their business actually operates. Our consulting covers use-case discovery, opportunity prioritisation, stack readiness, pilot design and governance — delivered by practitioners, not generalists.

Where we focus

Revenue and operations where AI can be measured.

We focus on revenue and operations because that is where AI creates outcomes that can be tracked against clear numbers — not just activity metrics.

  • Revenue operations and customer operations mapping.
  • Use-case discovery and prioritisation, with estimated ROI and risk.
  • Data and stack readiness for AI-powered agents and workflows.
  • Governance, policy and controls for AI inside your organisation.
  • Integration design across CRM, helpdesk, calendar and communication tools.
Where LB Labs focuses

Engagement formats

Structured to match where you are.

AI Opportunity Audit (2–3 weeks)

A rapid assessment of your revenue and operations to identify where AI can create measurable value. You receive a prioritised opportunity list with estimated effort, value and risk.

Strategy and Pilot Design (4–6 weeks)

Full discovery, use-case selection, architecture design and a governed pilot brief ready for implementation. Includes stack readiness, data assessment and governance framework.

Embedded Implementation Partner (3–6 months)

LB Labs works alongside your revenue, operations and product teams through build, deployment and initial monitoring — until you have confidence in the system.

Advisory Retainer (ongoing)

Regular architecture reviews, vendor and platform guidance, governance oversight and support as your AI systems mature and expand.

Consulting deliverables

Deliverables you receive

Clear outputs, not presentations.

  • Current-state map of your revenue and operations systems.
  • Prioritised AI opportunity backlog with estimated effort and value.
  • Pilot definition including metrics, SLAs and guardrails.
  • Reference architectures and integration patterns for your CRM, marketing stack and internal tools.
  • Governance guidelines and operating rhythms for AI usage.
  • Ownership and handover documentation.

Who we partner with

Best suited to teams with operational complexity.

  • SMB to mid-market and enterprise businesses across Australia.
  • Leadership willing to run focused pilots before scaling.
  • Teams already using CRMs, helpdesk tools or data warehouses who need AI to connect and improve those systems.
  • Organisations where AI projects have stalled or underdelivered and need a structured reset.
Who LB Labs partners with

Common questions

Frequently asked about consulting.

Do we need to have existing AI experience?

No. Most clients come to us without prior AI deployments. Our discovery process starts from your current operations, systems and goals — not from an assumption that AI is already in place.

How long before we see results?

A focused pilot typically runs in 4–8 weeks from kick-off. Measurable operational changes — faster response times, fewer manual handoffs, visible pipeline activity — often appear within the first 30–60 days of a live system.

What if our data or systems are not ready?

Data and stack readiness is part of our discovery assessment. Where gaps exist, we will identify them and provide a remediation path before recommending any build.

Do you work with businesses that have already tried AI?

Yes. We frequently help teams that have attempted AI deployments that did not deliver the expected results. Our role is to diagnose what went wrong, redesign the approach, and implement with proper governance.

How is consulting different from your implementation work?

Consulting covers the assessment, design and governance phases. Implementation builds and deploys the systems. Many clients start with a consulting engagement before moving to implementation — though some arrive with a clear use case and proceed directly to implementation.

Start with a conversation

Tell us where you are and what you are trying to achieve.

A 20-minute discovery call is enough to assess whether there is a practical fit and what a first engagement might look like.