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The people advising you design and build production systems every week. The architecture we recommend is architecture we'd implement.
Every engagement starts with the audit. Three consulting capabilities, one discipline: a revenue leakage audit that exposes the cost of your operational inefficiencies and decides which package level fits, practical AI training for your teams, and a grounded integration roadmap — decided by evidence from your own operation, not by what vendors are selling.
Why it matters
Re-keyed data, broken handoffs, disconnected systems, enquiries answered too slowly to win — each leaks a little time, revenue or conversion on its own, and none of it shows up as a line item. Across a year, that leakage sets the ceiling on what the operation can produce. The audit's job is to expose the cost, put a defensible priority order on fixing it, and decide what — if anything — should be built.
AI creates value when the people running the operation know what it's good for, what it can't be trusted with, and how to use it in their actual work. We train employees, managers and leadership on exactly that — effective day-to-day use, responsible boundaries, and the judgement to spot opportunities that are real rather than fashionable — so adoption doesn't depend on one enthusiast.
Common challenges
The problems consulting exists to solve.
Time, revenue and conversion leaking through manual work, slow follow-up and disconnected systems — spread so thinly across the week that nobody ever sees the total.
Staff experimenting with public AI tools ad hoc — some usefully, some riskily — with no shared practice, training or boundaries behind any of it.
A dozen possible automation and AI projects and no grounded way to rank them by value, effort or risk.
Every vendor promising transformation, and no independent, technical read on what would actually work inside the systems you already run.
AI that demoed well and then quietly stopped being used — with nobody sure whether the idea or the execution failed.
Where this fits
Every package starts with the audit.
The audit is how we decide together what your operation needs — which processes to automate, which to leave alone, and which package level the system should be configured at. Training and the integration roadmap outlive any build: your team learns to use AI properly, and you leave with a decision you can act on whether LB Labs builds it or your own team does. Consulting produces a scoped system, a trained team and a decision — not open-ended advisory hours.
What we do
Audit the leaks. Train the team. Map what belongs.
Three capabilities, delivered as working sessions and documents your team can act on — not presentations. The outcome is a scoped system, a trained team and a decision — not open-ended advisory hours.
Revenue Leakage Audit
We map how work actually moves through the business — quoting, follow-up, handoffs, admin, reporting — and identify where time, revenue, productivity and conversion are being lost to broken, manual or disconnected processes.
Costing the inefficiency
Each leak is sized against the others using your own numbers, so the priority order reflects measurable value. Where a return can't be evidenced, we say so — no manufactured ROI.
AI education & training
Hands-on sessions for employees, operational teams, managers and leadership: using modern AI tools effectively, prompt and workflow practice, and the literacy to judge what an AI output is worth.
Responsible-use frameworks
Boundaries, data-handling rules and review practices, so your team adopts AI without creating privacy, quality or compliance risk.
Integration roadmap
Where AI actually belongs in your business: what should be automated, what should stay human-led, which systems should connect, what to build, what to buy, what not to implement at all — and which package level fits.
Prioritised action plan
The roadmap as a sequenced plan — the first system, its pilot design, success measures and owners — ready to act on whether LB Labs builds it or your own team does.
Try the method
Run a readiness audit on your own operation.
Our Dashboard Readiness Checklist, scored the way we score it on an audit: how much work is leaking between your systems, and how ready the business is to fix it. Nothing you enter leaves your browser.
- Twenty questions
- Four sections
- About five minutes
Score one important workflow as it runs today, not the process you hope to have.
What we deliver
What you walk away with is evidence you can act on — the audited leaks, a trained team, and a roadmap that says what to integrate, what to build, what to buy and what to skip, whoever ends up implementing it.
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Recommendations are ranked by measured value and risk — and 'don't build this' is always an available answer.
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We don't resell platforms. The stack we recommend is the one that fits your operation, not our margin.
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If our advice leads to a build, we can deliver it — and be judged against the case we made for it.
The next step
Start with evidence, not enthusiasm.
Tell us where the operation hurts. The audit will show you what it's costing, what to fix first, and which package — if any — belongs in the answer.