We help B2B founders and operators improve AI lead generation by fixing fragmented tools, weak follow-up, fuzzy ownership, and unreliable outbound execution.
Symptoms
Unread outreach
No dependable follow-up
Disconnected tooling
Founder bottlenecks
What changes
Clearer operating model
Stronger handoff rules
Better lead progression visibility
Practical implementation path
0 -> 100s
Citrix Scout lead growth in ~2 months
5-part
scoped sprint rather than vague consulting
1 system
clearer operating model for outbound
Common failure modes
When AI lead generation, messaging, tooling, handoffs, and follow-up logic are misaligned, more activity just creates noisier failure.
Messages are being sent, but replies, follow-up logic, and ownership are inconsistent or missing.
CRM, enrichment, outbound, notes, and automation all exist, but they do not behave like one joined-up workflow.
You cannot confidently explain where leads stall, where handoffs fail, or what is actually working.
Critical decisions and follow-ups still live in your head, your inbox, or a set of half-maintained workarounds.
Flagship proof
We built and refined a lead generation system around targeting logic, qualification workflow, persistent automation, and operational safeguards. The result was enough lead flow to create a new capacity bottleneck - exactly what a working outbound system is supposed to do.
Targeting logic
Clearer definition of who matters and why
Qualification workflow
Better lead quality and progression discipline
Persistent automation
Repeatable execution instead of ad hoc effort
Operational guardrails
Enough control to scale without total chaos
What the sprint includes
01
Map the current flow end-to-end: tools, handoffs, list quality, sequence logic, ownership, and failure points.
02
Isolate the few bottlenecks that are actually creating drag, confusion, and lost momentum.
03
Tighten the parts that affect response quality most: who you target, what angle you lead with, and where credibility breaks down.
04
Produce a simpler operating model with clearer stages, owners, rules, and less tool sprawl.
05
Leave with a practical fix plan, ranked actions, and a structure that can be implemented immediately.
AI lead generation
We use AI lead generation to mean the practical system behind finding, qualifying, routing, and following up with the right prospects. That includes targeting logic, research workflow, enrichment, CRM state, follow-up discipline, and the automation layer that supports it.
In other words: better AI lead generation does not come from adding more tools or more prompts. It comes from a lead generation system that is clear, measurable, and operationally reliable enough to compound.
Before
After
How it works
We qualify quickly, build for the right clients without an upfront build fee, and then manage the system on an ongoing monthly basis so it stays healthy and useful.
01
We review your current outbound setup, the commercial need, and whether the opportunity is strong enough to justify the model.
02
For qualified clients, we build the outbound system with no upfront build fee as part of the management engagement.
03
Once live, we maintain, refine, and improve the system on a monthly basis so it keeps producing and does not drift.
Commercial model
Instead of charging for a large build phase upfront, we include the build as part of a minimum monthly management engagement. That keeps the offer easier to say yes to while giving the system time to produce, stabilise, and improve properly.
Implementation is included for qualified clients rather than sold as a separate initial project invoice.
The commercial model works through a minimum monthly management engagement so the system has time to produce and improve.
This is designed for teams who want a partner to build the engine, keep it healthy, and improve it over time.
Qualified clients only
This model is deliberately selective. We use an internal qualification process to make sure there is a real commercial need, a real owner, and a realistic path to value before we commit to building the system.
There is real commercial need, not vague curiosity.
A decision-maker can sponsor or approve the work.
The timing is live enough to justify acting now.
There is enough operational discipline to make the system work.
Fit check
FAQ
It is deliberately productised. The point is to diagnose outbound reliability issues quickly and turn them into a concrete fix plan, not drift into open-ended advisory work.
Yes, where useful. The sprint can stand alone as a diagnostic, or become the front end of implementation support if the fixes need building into your stack.
Best fit is B2B founders and operators with live outbound activity, some existing tooling, and clear frustration that the system is not compounding properly.
Clarity, a tighter outbound operating model, and a ranked implementation path. We focus on making the system more reliable and more supportable, not promising fantasy revenue numbers.
About Brett
Brett Loveday is a systems-minded founder and operator focused on automation, infrastructure, AI delivery, and practical commercial execution. The work behind Grand Theft Automation is rooted in real operational build experience rather than presentation-first agency theatre.
That matters here because the offer is not just about generating activity. It is about designing an outbound system that can be explained, managed, improved, and trusted over time.
Why that helps clients
You are not buying generic outreach advice. You are working with someone who thinks in terms of infrastructure, operating models, workflow reliability, and commercial execution together.
That is why the service is built around clearer systems, tighter qualification, stronger handoffs, and practical implementation rather than surface-level lead generation promises.
For the right clients, that creates a very different relationship: not vendor theatre, but an operator-level partner helping build and manage the engine properly.
Final CTA
Book a diagnostic conversation and we will quickly tell you whether this is a fit, what is likely broken, and what the sprint should focus on.
