Most teams try to scale before the motion is stable. That doesn’t create growth. It amplifies fragility.
I help £3–10M ARR SaaS / AI founders professionalise their first enterprise motion — so forecasting tightens, founder-dependency reduces, and hiring becomes additive, not chaotic.
You don’t have a scale problem. You have a replicability problem.
01
Founder is still the closer.
If you stepped out of deals for 90 days, would growth hold — or stall? If you hesitated, you already have your answer.
02
Pipeline looks healthy, but late-stage slippage kills predictability.
Volume disguises a lack of qualifying discipline. Full funnel. Empty close. The pipeline illusion is expensive.
03
Hiring adds activity, not throughput.
Every rep hired into an undefined process creates Revenue Technical Debt. The fix becomes exponentially harder and more expensive over time.
State Comparison
FROM: Founder-Led
TO: System-Led
KNOWLEDGE
Tribal / Informal
Documented Playbooks
FORECAST
Hope-Driven Optimism
Data-Led Discipline
DEAL CLOSING
Founder Heroics
Rep Independence
PIPELINE
Volume-Focused
Conversion-Focused
The Existential Question
Is this enterprise motion repeatable without the founder?
The Mechanism
Predictable Revenue Enterprise Motion OS™
A four-pillar operating system to institutionalise your first enterprise motion. Click each pillar to see what good and bad look like.
PILLAR 01
Motion Independence
Remove the founder from the critical path. Transfer tribal knowledge into a documented, teachable motion.
✓ What Good Looks Like
Reps lead and close enterprise deals independently. Founder is architect, not closer. New hires ramp to quota within a defined window.
✗ What Bad Looks Like
Founder involved in >50% of enterprise closes. Deals stall without CEO presence. Growth ceiling hits the founder’s calendar.
↓ click to expand
PILLAR 02
Deal Replicability & Stage Governance
Install the rules of the game. ICP clarity, stage exit criteria, deal qualification models the team actually uses.
✓ What Good Looks Like
>70% of enterprise wins are rep-led. You can articulate the exact pattern behind your last 5 wins. Stage gates are evidence-based.
✗ What Bad Looks Like
<30% rep-led wins. Every deal feels different. Qualification is vibes-based. Late-stage deals have no objective criteria to be there.
↓ click to expand
PILLAR 03
Pipeline Integrity & Forecast Reliability
Turn the forecast from an optimistic guess into a financial instrument your board actually trusts.
✓ What Good Looks Like
Forecast variance <±10%. Reviews interrogate quality of evidence, not hope. Slippage treated as an alarm, not a norm.
✗ What Bad Looks Like
Forecast variance >20%. Commit is based on optimism. Q-end push is normalised. Board calls require extensive caveating.
↓ click to expand
PILLAR 04
Revenue Discipline & Scaling Readiness
Know exactly when — and how — to scale headcount. Each hire adds throughput, not chaos.
✓ What Good Looks Like
Targets from conversion data, not ambition. Hiring triggered by process maturity. Each new rep reinforces the motion.
✗ What Bad Looks Like
Targets by gut feel. Hiring ahead of proven process. Revenue Technical Debt compounds. Series B milestones at risk.
↓ click to expand
Motion Diagnostic
Find out where your motion is fragile.
16 questions across 4 pillars. 3 minutes. Per-pillar scores reveal exactly where your enterprise motion is at risk.
01
Answer 4 questions per pillar across Motion Independence, Deal Replicability, Pipeline Integrity, and Revenue Discipline.
02
Receive a scored assessment per pillar and an overall headline verdict.
03
Send your scores to Bryan for a detailed debrief and recommended engagement path.
Enterprise Motion Diagnostic
Question 1 of 16
Pillar 01 — Motion Independence · Q1 of 4
If the founder stepped out of enterprise revenue entirely for 90 days, what would happen?
AMinimal operational impact
BSlower decision-making but stable execution
CNoticeable performance variance
DEnterprise revenue would materially stall
Pillar 01 — Motion Independence · Q2 of 4
How dependent are complex enterprise deals on executive intervention?
ARarely require executive involvement
BOccasionally require input
CFrequently require intervention
DAlmost always require executive rescue
Pillar 01 — Motion Independence · Q3 of 4
How well documented is your enterprise deal strategy framework?
AFully documented and consistently applied
BDocumented but inconsistently applied
CInformal / implicit
DNot documented
Pillar 01 — Motion Independence · Q4 of 4
Could a new revenue leader accurately describe your winning motion within 30 days?
AYes, clearly and consistently
BMostly
CPartially
DNo
Pillar 02 — Deal Replicability · Q1 of 4
Across your last 5 enterprise wins, how consistent were the deal drivers and buying dynamics?
AYes, clear pattern
BMostly
CSomewhat
DQuite variable
Pillar 02 — Deal Replicability · Q2 of 4
Do enterprise deals follow a consistent sales process?
AYes, consistently
BOften
CSometimes
DRarely
Pillar 02 — Deal Replicability · Q3 of 4
How consistently are enterprise deals governed against defined stage exit criteria?
AAlways
BUsually
CLoosely
DNo
Pillar 02 — Deal Replicability · Q4 of 4
Is deal strategy documented before late-stage negotiation?
AAlways
BOften
COccasionally
DRarely
Pillar 03 — Pipeline Integrity · Q1 of 4
What % of pipeline converts within expected timeframes?
A> 60%
B40–60%
C20–40%
D< 20%
Pillar 03 — Pipeline Integrity · Q2 of 4
How often are deals pushed into future quarters?
ARarely
BOccasionally
CFrequently
DConstantly
Pillar 03 — Pipeline Integrity · Q3 of 4
To what extent does your compensation structure reinforce disciplined deal qualification and predictable progression?
ACompensation fully aligns with disciplined qualification and forecast accuracy
BCompensation mostly aligns, with minor behavioural gaps
CCompensation is primarily bookings-driven, with limited structural reinforcement
DCompensation incentivises revenue at any cost, regardless of stage integrity
Pillar 03 — Pipeline Integrity · Q4 of 4
Is pipeline reviewed for quality, not just volume?
AAlways
BOften
CSometimes
DRarely
Pillar 04 — Revenue Discipline · Q1 of 4
How accurate is your quarterly forecast?
A±5%
B±10%
C±25%
D>20% variance
Pillar 04 — Revenue Discipline · Q2 of 4
Are revenue targets set based on conversion data or more top-down ambition?
AConversion data
BMostly conversion data-informed
CMixed — data & ambition
DTop-down ambition
Pillar 04 — Revenue Discipline · Q3 of 4
How clearly defined and documented was your enterprise sales motion when you hired your most recent revenue leader?
ALeadership was hired into a stable, codified, repeatable motion
BLeadership was hired into a mostly defined motion with minor gaps
CLeadership was hired while the motion was still being constructed
DLeadership was hired before structural clarity existed / No revenue leader hired; enterprise remains executive-led
Pillar 04 — Revenue Discipline · Q4 of 4
Do you know exactly when your current motion breaks?
AYes
BMostly
CSomewhat
DNo
Select an answer to continue
Your Motion Assessment
⚠ Primary Pillar of Concern
Recommended Next Step
Engagements
Three ways to work together.
Productised engagements. Each designed around a specific stage of motion maturity — fast diagnosis, system design, or full installation and embed.
Phase 1 · Diagnostic
Enterprise Motion Risk Assessment
Timeframe2–3 Weeks
FormatAudit + Report
A fast, clinical audit of your current enterprise motion. Designed for founders who want an objective view of where fragility lives before committing to a longer engagement.
Deal Anatomy Map
Founder Dependency Score
Repeatability Assessment
Hiring Readiness Verdict
For: Founders who suspect fragility but want a data point before committing
The full engagement. We install, run the cadence, and prove the system works without you. 2–3 clean forecast cycles. Rep independence demonstrated. Slippage reduced.
2–3 Clean Forecast Cycles
Rep Independence Demonstrated
Reduced Deal Slippage
Hiring Readiness Sign-off
For: Founders committed to full motion stabilisation before Series B or headcount scale
What sets Bryan apart is the process and rigour he brings to a revenue organisation. He successfully orchestrated the acquisition of numerous enterprise logos by instilling a disciplined approach to the sales cycle. By implementing a new level of pricing strategy and process rigour, he ensured our growth was not only methodical but driven from strong cross-functional alignment.
Candace Simpson
Global SVP Delivery, Operations & Customer Success
“
Bryan played a pivotal role in driving revenue growth by building clear, scalable growth strategies and ensuring disciplined execution across teams. He has a strong command of commercial strategy, aligning sales, marketing, and operations around focused priorities that translate directly into performance outcomes. Any organisation looking for a growth executive who combines strategy, operational discipline, and strong people leadership will be incredibly fortunate.
Sidorela Kryemadhi
Demand Generation Leader — reported directly to Bryan
“
Bryan is an exceptional GTM leader. He leverages AI and his extensive experience to streamline and improve processes that accelerate repeatable, predictable ARR growth. An inspiring leader with excellent interpersonal and coaching skills, Bryan builds world class sales and marketing organisations with foundations that are built to scale.
Lars Fiddy
Senior Enterprise AE, EMEA — worked with Bryan across 3 businesses
“
Bryan combines strong commercial instincts with operational discipline. He doesn’t just drive growth — he builds the structure and processes that make it sustainable. In fast-moving or ambiguous environments, he brings clarity, focus, and decisive leadership. What stood out most to me was his coaching. Bryan sets high standards while genuinely investing in the development of his team.
Elizabeth Kim
Analytics Leader, ex-Nielsen, Numerator, Nestlé
“
Bryan is a strategic thinker who is very organised, commercially savvy and delivers the desired results with a keen eye on profit at all times. His P&L understanding and ability to work within a budget and make the most out of changing circumstances was second to none. I would have absolutely no hesitation in recommending Bryan for an MD or other leadership role.
Robert Horton
Information Security at Apple — managed Bryan directly
“
I have worked with Bryan for over 13 years. During our years in the sales team, Bryan was consistently the top performing salesperson and one of the best I’ve ever known. He then progressed into management where his eye for detail and personality again became his defining quality. I would recommend him in a heartbeat to any company needing a business leader to drive their business to the next level.
Mike Smith
Head of Sales UK & Ireland — colleague for 13+ years
About Bryan
I’m an operator, not a slide-deck.
I’ve spent 21+ years in enterprise revenue — as an individual contributor, sales leader, VP, SVP, and Chief Growth Officer. I’ve run P&Ls, led M&A transactions, and built sales teams from the ground up inside start-ups, scale-ups, and PLCs globally.
The Predictable Revenue Enterprise Motion OS™ isn’t a framework invented in a workshop. It’s distilled from the patterns I’ve seen break and succeed — under real investor scrutiny, across real enterprise cycles, at real ARR inflection points.
Built global new business engine from scratch. $4.5M annual target. Improved Senior Exec appointments by 62% via AI-driven personalisation.
SVP
SVP Global Sales — Dexi.io (acquired by Engage3)
Scaled ARR from $6M to $9M in 18 months. Designed and implemented full sales and CS process. Led US expansion — VP + 7 AEs in 6 months.
MD
Acting Joint MD / Director of Sales — NCC Group PLC
Grew sales from £6M to £13M with zero marketing spend. Forecast accuracy ±4%. Led M&A sale to The Carlyle Group in 2018.
“People buy from people. People work with people. People deliver for people. I approach every engagement as a commercial operator who has installed these systems in real environments under real pressure — not as an external advisor with a slide-deck.”
✦ CRO Certified — Pavilion University
✦ AI GTM Certified — Pavilion University
✦ SPIN · MEDDIC · Solution Selling
Bryan’s Career — Revenue Leadership
Chief Growth OfficerENGAGE3
2023–Now
Structured global new business engine. $4.5M target. Team of 15. AI automation, Salesforce consolidation.
SVP Global SalesDEXI.IO
2021–2022
$6M → $9M ARR in 18 months. Full GTM build. US VP + 7 AEs hired in 6 months.
£6M → £13M. Zero marketing spend. ±4% forecast accuracy. Led M&A to Carlyle Group.
Dir. Client ServicesSITE CONFIDENCE
2003–2010
Top performer 7 consecutive years. 120%+ of target annually. 91%+ client retention.
Why BCB Is Different
Very few revenue leaders have experience across enterprise pricing intelligence, data infrastructure, and AI-driven commercial environments. That exposure gives pattern recognition most early-stage companies simply haven’t yet developed internally. I don’t approach this as an external advisor — I approach it as a commercial operator who has installed these systems in real environments under real pressure.
If you’re £3–10M ARR, selling enterprise, and the founder is still the system — this is for you.
Stop being the engine. Start being the architect.
The scaling decision and the stabilisation decision are the same decision. The only question is whether you make it before or after the damage is done.