Discover How Your Team
Really Sells
A 30-day, AI-assisted diagnostic for B2B sales teams. We review your sales evidence to identify execution gaps and give leadership clear priorities for what to fix first.
Your sales team has a problem you can't see.
You have a sales team, but you still don't have a clear view of how it actually sells. Some reps perform, others don't, and it's hard to tell whether the issue is skill, process, management, or simply lack of visibility.
Your CRM says one thing. Deal reviews say another. Coaching ends up based on intuition. Pipeline looks healthy, then deals slip. Forecasts miss. New hires take too long to ramp.
Is the gap in individual skills, the sales process, or how the team is managed? Without clear evidence, it's hard to know what to fix.
No structured capability data. No consistent call analysis. No shared scoring logic. Just opinions, spreadsheets, and fragmented signals.
That's what we make visible, and what we turn into clear priorities in 30 days.
AI-assisted analysis. Operator-led diagnosis.
We use AI to analyze your CRM data and available sales evidence. We then review the findings in context and turn them into a structured diagnosis and prioritized recommendations.
Diagnostic report · Excerpt
Team readiness heatmap
| Rep | Discovery depth | Pain qualification | Economic buyer access | Objection handling | Close commitment | CRM discipline |
|---|---|---|---|---|---|---|
| Rep A | Strong | Developing | Gap | Developing | Strong | Developing |
| Rep B | Developing | Developing | Gap | Strong | Developing | Gap |
| Rep C | Strong | Strong | Developing | Developing | Developing | Strong |
| Rep D | Developing | Gap | Gap | Limited evidence | Developing | Developing |
| Rep E | Gap | Developing | Gap | Developing | Limited evidence | Gap |
- Strong
- Developing
- Gap
- Limited evidence
Finding
Economic buyer access is a gap across most of the team: in the reviewed deals, decision-makers rarely join before the proposal.
Priority 1
Add an economic-buyer checkpoint before proposals and review it in weekly deal reviews.
Call Intelligence
Recorded calls are ideal, but not required. We use AI to support the review of calls within the agreed scope. Where historical recordings are unavailable, we work from CRM and pipeline history, agreed emails and deal notes, interviews and deal reviews, and, with consent, calls recorded during the 30 days. Diagnostic depth and confidence depend on the evidence available.
Pipeline Signal Reading
Deal progression, stage velocity, stall patterns. We identify where deals slow down and which sales behaviors may be contributing.
CRM Behavior Analysis
Activity data, logging patterns, deal hygiene. We see how your CRM is actually used versus how it should be.
Structured Scoring
A structured framework for assessing Discovery Depth, Pain Qualification, Economic Buyer Access, Objection Handling, Close Commitment, and CRM Discipline. Assessments reflect the agreed scope and the evidence available.
Synthesis & Heatmap
All signals combine into a team-wide heatmap: who's strong where, where gaps cluster, and what to prioritize.
Works with: Salesforce · HubSpot · Gong · Chorus · other CRMs and call recording tools
30 days. Four phases. Clear priorities.
From kick-off and data access to analysis, scorecards, and an executive readout. The 30 days start at kick-off, once the agreed data access is in place.
Kick-off & Data Access
We align on scope, define the scoring framework, and set up read-only access to the data sources we need. Your team keeps selling as usual.
Week 1
AI-Assisted Analysis
We use AI to support analysis of the sales evidence agreed for the diagnostic, including CRM and pipeline data and, where available, recorded calls. Operators review the findings in context, with conclusions limited by evidence quality and coverage.
Weeks 2–3
Scoring & Synthesis
We turn the findings into individual scorecards, a team heatmap, and a clear view of where execution breaks down and what to fix first.
Week 4
Executive Readout
90-minute working session with your leadership. We review the key findings, prioritize development areas, and deliver a recommendation memo with concrete next steps.
Delivery
Kick-off & Data Access
We align on scope, define the scoring framework, and set up read-only access to the data sources we need. Your team keeps selling as usual.
Week 1
AI-Assisted Analysis
We use AI to support analysis of the sales evidence agreed for the diagnostic, including CRM and pipeline data and, where available, recorded calls. Operators review the findings in context, with conclusions limited by evidence quality and coverage.
Weeks 2–3
Scoring & Synthesis
We turn the findings into individual scorecards, a team heatmap, and a clear view of where execution breaks down and what to fix first.
Week 4
Executive Readout
90-minute working session with your leadership. We review the key findings, prioritize development areas, and deliver a recommendation memo with concrete next steps.
Delivery
What you get.
A complete diagnostic package designed to give leadership a clear, usable view of what to fix first.
A custom scoring model built for your sales process, market, and deal complexity. The standard your team gets measured against.
Individual assessments against the agreed capability framework for reps within scope, where sufficient evidence is available. Findings identify supported strengths, gaps, and development priorities, with evidence limitations made explicit.
Visual map of team strengths and weaknesses. Is it a hiring problem, a coaching problem, or a process problem?
Where deals stall, why they slip, and which behaviors correlate with lost revenue. Stage-by-stage analysis.
Ranked list of what to fix first, sorted by impact and effort. Focused, not a 50-page wishlist.
90-minute live session with leadership to review the findings, discuss questions, and prioritize development areas.
Written diagnosis, prioritized recommendations, and a suggested 90-day roadmap.
Everything is yours at the end of the diagnostic: the framework, the scorecards, the findings, and the roadmap.
A standalone diagnostic. No mandatory recurring commitment. Any additional GTM Engineering work is optional and contracted separately.
Your data: read-only access to your systems, recordings, transcripts and working copies deleted within 30 days of the readout, never used to train AI models. A data processing agreement is signed with every engagement.
Clear priorities. Yours to put into action.
The diagnostic gives your leadership the findings, priorities, and roadmap to decide what to do next. You can act on them with your own team. If you want our support, any additional GTM Engineering work is optional and contracted separately.
Optional implementation
Capability Installation
Playbooks, call coaching, objection handling frameworks. All built around the gaps your diagnostic revealed. Custom to your team, not generic templates.
Optional implementation
Ramp-Up Improvement
Structured onboarding that gets new reps to productivity faster. Based on what your top performers actually do, as captured in the diagnostic.
Optional implementation
Ongoing Reinforcement
Call and pipeline reviews, trend tracking, and follow-up assessments. Scope and cadence are agreed separately.
We built a B2B sales engine.
Then we sold the company.
Before Propellant, we built isendu, a shipping automation SaaS, from zero to acquisition. We designed the entire commercial system: pipeline architecture, outbound engine, rep coaching, CRM automation. These are our numbers.
Case Study
isendu → Sendcloud
€0 → €1.6M ARR → Exit
From founder-led sales to a scalable commercial system: 85% show-up rate, 22-24% close rate. Acquired by Sendcloud in 2024.
Read moreCase Study
Tot (Fintech)
Product-Led → Revenue Machine
9 months embedded. Built the GTM infrastructure from scratch: CRM with PQL scoring, segmentation, four commercial flows, and the first AE with playbook and KPIs. Double-digit ARPU growth.
Read moreIs AI Sales Diagnostic right for you?
Yes, if you...
Not for you if...
Operators, not consultants.
We built, scaled, and sold our own B2B company. We've sat in every seat: founder-led sales, first SDR hire, CRM migration, outbound experimentation. We know what breaks because we broke it.
Lando Barbagli
Strategy, Market & Commercial Narrative
2x founder across B2B SaaS and ad-tech. MBA UCLA Anderson. 18 years between LA and NYC. GTM strategy, fundraising, M&A, and high-ticket sales.
LinkedIn
Marco Pericci
Systems, Analytics & Revenue Operations
Built the growth engine behind isendu's commercial operations. RevOps, CRM architecture, workflow automation, and AI-assisted sales analysis.
LinkedInReady to see how your team really sells?
30 minutes. No pitch. No pressure. Just an honest conversation about whether AI Sales Diagnostic is right for your team.