AI-Powered GTM Transformation
For Cybersecurity Scale-ups Ready to Scale
You have the strategy. You need the execution.
AI isn't the solution. AI-powered workflows that execute your GTM strategy is.
Most companies buy AI tools and hope they work.
We design AI workflows that directly solve your go-to-market problems.
WHY IT MATTERS
Why AI Transformation?
AI is no longer optional—it's the lever to win more deals
Tech scale-ups and cybersecurity firms face increasing competition, rising customer expectations, and complex operations. AI is no longer optional: it's the lever to win more deals, speed execution, and create products that stand out.
At Boostra, we help you harness AI across your organisation: from streamlining workflows to embedding intelligence into your products.
Most clients see meaningful improvements within 90 days.
WHAT IT MEANS
What "AI-Powered GTM" Actually Means
No buzzwords, just clear execution
What We DON'T Do (And Why)
Custom ML models ("We'll build proprietary AI")
Why: Takes 6-12 months. Expensive. Most teams don't need it.
Generic AI automation ("We'll make everything AI")
Why: Off-the-shelf without strategy = wasted budget.
Chatbots or conversational AI
Why: Enterprise cybersecurity buyers don't chat with bots.
"Replace your marketing team with AI"
Why: AI executes strategy. It doesn't create strategy.
What We DO (And Why It Matters)
Lead enrichment automation (Apollo/ZoomInfo connectors)
Why: Sales needs account intelligence. Manual research = wasted time.
Impact: Sales spends research time on selling instead.
AI-powered scoring (engagement patterns auto-adjust)
Why: Scoring based on guesses = wrong leads prioritised.
Impact: Right leads get attention. Conversion rates improve.
Sales intelligence briefings (automated account research)
Why: Reps need to know client context before calls.
Impact: Better conversations. Higher close rates.
Content research automation (GPT-4 for competitive intel)
Why: Content team spends 40% of time on research.
Impact: 30-40% more content produced with same team.
Nurture sequence optimisation (self-learning)
Why: Static email sequences don't adapt to behaviour.
Impact: Higher engagement. Better advancement through funnel.
Scoring automation (behaviour patterns adjust scores)
Why: Manual scoring = outdated. Misses buying signals.
Impact: Leads prioritised by actual engagement, not assumptions.
Dashboard automation (daily updates, no manual reporting)
Why: CFO needs visibility. Manual dashboards = delayed insights.
Impact: Real-time visibility. Better budget allocation.
The pattern: AI handles repetitive, data-driven work.
Your team handles strategy, relationships, creative thinking.
Result: Better GTM execution at scale.
TEAM
Who's Behind AI Services
Who Designs and Builds Your AI GTM Workflows
Matteo Giuzzi
Head of AI & Product, Boostra
Background:
- •10+ years scaling product + AI across growth-stage tech companies, including Meta
- •Led GTM automation at leading cybersecurity scale-ups
- •Expertise: Go-to-market systems, workflow automation, AI strategy
Role: Designs AI workflows specific to your GTM strategy
What Matteo does:
Matteo's focus: AI that directly impacts pipeline and revenue.
Not AI for AI's sake. Not over-complicated. Not vendor lock-in.
Implementation Team
Technical Specialists
We deploy 2-3 specialists per engagement:
Their role: Build the features and workflows Matteo strategically designs for you. Fast. Consistent. Reliable.
Result: Professional, production-ready implementation. Not DIY or vibe-coding.
Your Partnership
How We Work With You
Month 1-3 (Implementation)
Month 4-12 (Optimisation)
OUR SERVICES
Our AI Services
From strategic assessment to full-scale implementation
AI Readiness Assessment
Understanding where you stand today and identifying your highest-value AI opportunities
What We Evaluate
- →Current data infrastructure, quality, and accessibility
- →Technology stack compatibility and integration points
- →Team capabilities, skill gaps, and change readiness
- →High-impact use cases across GTM, product, and operations
- →Competitive landscape and market positioning
What You Receive
- →Comprehensive readiness scorecard with gap analysis
- →Prioritised opportunity matrix (impact vs. effort)
- →Risk assessment and mitigation strategies
- →Estimated ROI projections for top 3–5 initiatives
- →Executive summary and board-ready presentation
STRATEGY FIRST
How AI Workflows Connect to Go-To-Market Strategy
AI doesn't exist in a vacuum. It executes your GTM strategy.
The right sequence:
VALIDATE & POSITION
(Before AI, you need clarity)
- –Who is your ideal customer? (specific firmographics, not "mid-market")
- –Why do you win? (positioning, not features)
- –How do you measure? (attribution model, lead stages, metrics)
DESIGN & BUILD STRATEGY
(Then you build the engine)
- –Sales enablement (how to sell to your ICP)
- –Content strategy (what they research, when they research it)
- –Lead scoring criteria (based on ICP, not guesses)
- –Budget allocation (which channels for which personas?)
AUTOMATE & OPTIMISE
(Then AI executes at scale)
- –Lead enrichment (sales has intelligence)
- –Scoring automation (right leads prioritised)
- –Nurture at scale (content reaches right person)
- –Dashboard reporting (visibility into what works)
- –Continuous optimisation (monthly reviews, adjustments)
If you try to automate before strategy is clear: AI amplifies problems.
The right approach: Clear strategy, then smart automation.
We help with both. Or if you have strategy clear, we do just the automation phase.
Already have GTM strategy?
Start with Phase 1 (Implementation)Need strategy first?
Talk to us about Foundation + Strategy phases firstFAQ
Frequently Asked Questions
Yes. AI executes strategy. If your strategy is unclear, AI will amplify problems. We recommend: Define ICP, positioning, and measurement first (can be our Stage 1-2 services, or work you've already done elsewhere).
12 weeks typical. Can be 8 weeks if you have clear specifications upfront. Depends on complexity of integrations + your team's availability for check-ins.
Most CRMs are compatible. Salesforce, HubSpot, Pipedrive all work well. If you're using something unusual, we assess in discovery and let you know.
Yes. Most clients do Phase 1 (implementation), then Phase 2 (optimisation) if results are strong. No long-term commitment required.
We can scope Phase 1 to focus on highest-impact workflows first. Example: Lead enrichment + scoring first, then expand to nurture + dashboards. Investment would be lower, timeline compressed.
You do. Full handoff. We train your team. You own the infrastructure. We're available for optimisation and strategy quarterly (advisory phase).
Yes, through discovery. But tool selection and purchasing is your responsibility. We recommend based on GTM strategy + workflow requirements.
Great. We'll document everything so they can take over. We can also transition to advisory role (quarterly strategy calls).
We guarantee we'll design and build solid AI workflows. Results depend on: strategy clarity + team execution + market conditions + budget allocation. We're transparent about what we can and can't control.
Different focus: - Fractional CMO: Overall GTM strategy + team leadership - AI GTM: Specialised execution of YOUR GTM strategy through automation - Many clients do both. Some do just one.
Yes. We can scope Phase 1 to 1-2 highest-impact workflows first (4-6 weeks, £15-20K). Then expand based on results.
Workflows run themselves. But someone needs to: - Monitor dashboards weekly - Review scoring monthly - Adjust budgets quarterly - That's ~5-10 hrs/month. Can be one person. If you don't have capacity, we can recommend contractors to handle ops.