WHY CLIENTS CALL US
What Goes Wrong Before We Get the Call
Every audit we run surfaces a version of the same four problems. None of them are tool problems. All of them are systems problems pretending to be tool problems.
SELF-SERVE DIAGNOSTICS
Diagnose Your System. See What It's Costing You.
Two tools. No email required. Score your GTM system in 60 seconds, then see the estimated annual revenue leaking through your infrastructure gaps — so the conversation with your team starts with numbers, not gut feel.
TOOL 01 · GTM SYSTEM HEALTH SCORE
Score your GTM system in 60 seconds
Ten yes/no checks mapped to what we audit on every engagement — data model, automation hygiene, AI readiness, and reporting integrity. Score and red flags appear instantly.
GTM System Diagnostic
0 / 10 answered
01 · Data Foundation
Every lifecycle stage has a written entry criterion — not just a stage name.
02 · Data Foundation
Your MQL definition is documented and signed off by both marketing and sales.
03 · Data Foundation
Contact and account records are deduped — fewer than 2% of records are obvious duplicates.
04 · Automation & AI Hygiene
Every active workflow and AI-triggered sequence is labelled with its purpose AND its owner.
05 · Lifecycle & Process
Deal stages match your actual sales motion — reps move deals through them predictably.
06 · Lifecycle & Process
Lead routing rules are documented — round-robin, territory, account-based, or AI-scored.
07 · Automation & AI Hygiene
There are no orphan workflows or AI sequences — every active automation has a known reason to exist.
08 · Reporting & Ownership
Reporting in your CRM matches reporting in your BI tool or spreadsheets.
09 · Reporting & Ownership
There is one named owner of the GTM system — not "the agency" or "everyone."
10 · Reporting & Ownership
A new hire can be onboarded to your GTM system in under a day using existing documentation.
Your Score
Answer all 10 questions to see your diagnosis and the top three red flags.
TOOL 02 · PIPELINE LEAK ESTIMATOR
See what your system gaps are costing you annually
Adjust four inputs to match your funnel. Conservative estimates based on Gartner and Forrester research on data quality and lead routing gaps in B2B GTM.
Your Funnel Inputs
Monthly inbound leads
400
Average deal size (ACV)
$25K
MQL → SQL conversion
25%
SQL → Won conversion
25%
Estimated annual won revenue
$7.5M
Estimated annual revenue at risk
Conservative estimate of revenue currently leaking through the three system gaps below — the same ones we surface on every audit.
Data quality leakage
$600K
Duplicate, dropped, and mis-routed leads from broken data hygiene.
Lifecycle & handoff leakage
$750K
Delayed responses, undefined MQL criteria, and stage-fit mismatches.
Nurture & re-engagement gap
$450K
Stalled or "not yet" leads with no automated path back to sales.
Free 30-min audit · we screen-share your portal · zero deck
HOW WE'RE DIFFERENT
Most Consultants Fix Symptoms. We Rebuild the System.
Band-aid fixes feel fast. They are not. Six months later you are paying twice — once for the patch and once for the rebuild that should have happened the first time.
Most Consultants
The Band-Aid Approach
- Build a new workflow on top of the broken one
- Add an AI tool without fixing the data underneath
- Bolt on another tool to compensate for the gap
- Create a dashboard that reframes the same bad data
- Leave undocumented work → you stay dependent
Revosys GTM Consulting
The Systems-First Approach
- Map the GTM process on paper before touching any platform
- Fix the data model and definitions, then layer in AI
- Design for the motion first — sales-led, PLG, or hybrid
- Build reports on a CRM that actually reflects reality
- Document everything → you own the system, not us
OUR METHOD
Every Engagement Follows Four Phases
No surprises. No mystery deliverables. You always know what we are building, why, and what comes next.
Map
Audit current state. Lifecycle accuracy, data quality, workflow errors, integration health, ownership gaps. GTM motion documented on paper before any platform work begins.
Architect
Design the data model, lifecycle definitions, AI touchpoints, and reporting structure. Get marketing, sales, and CS sign-off in writing before a single workflow gets built.
Build
Implement on your stack with the architecture as the spec. Native platform first. AI-assisted where it compounds — enrichment, routing, scoring, personalization. Middleware only when truly needed.
Hand Off
Train your team on the system. Write the internal wiki. Document every workflow, integration, and automation. The goal is your independence, not your dependency.
WHAT WE BUILD
End-to-End GTM Systems
CRM & Platform Implementation
Your CRM built on a clean data model — lifecycle stages, pipeline discipline, and AI-ready architecture from day one.
- Data model + property architecture
- Lifecycle stages with written criteria
- Pipeline + deal stage automation
- AI enrichment and routing layer
GTM Systems Architecture
The operational backbone of your go-to-market motion — designed to support sales-led, PLG, and hybrid motions simultaneously.
- Full GTM audit + current-state map
- Multi-motion data model blueprint
- Lead routing + scoring design
- Process docs + ownership map
AI-Powered Lifecycle Automation
End-to-end lifecycle from first touch through renewal — AI-assisted where it compounds, automated and maintainable throughout.
- Full funnel lifecycle map
- AI-personalized nurture sequences
- Post-sale onboarding + CS alerts
- Intelligent expansion + renewal triggers
RevOps Audit
A structured review of your GTM stack, data flows, and processes — delivered as a prioritised fix list with revenue impact scores.
- GTM system health report
- Tech stack + integration review
- AI readiness assessment
- 30/60/90-day remediation plan
STACK FLUENCY
The Stack We Build With — and What We Use Each Layer For
We don't recommend tools you don't need. We work in the platforms you already own, layer in AI where it genuinely compounds, and integrate everything around a single coherent data model.
WHO THIS IS FOR
Teams We Work Best With
If any of these sound like the seat you sit in — keep reading. The system you need probably already exists in your stack. It just needs to be built right.
VP / Head of Marketing
“Your CRM reports MQLs sales doesn't work. Your attribution is half-guesswork. You're running AI tools on top of a lifecycle that was never properly designed.”
What we deliver
A defensible MQL definition, real attribution, and AI-assisted lifecycle automation through renewal.
VP Sales / RevOps Lead
“Pipeline is a forecast nobody trusts. Reps have stopped updating the CRM. You've added AI sequencing tools but the underlying data model is still broken.”
What we deliver
A CRM reps actually use, deal-stage discipline, and forecasting accuracy your board believes.
Founder / COO
“You have the tools — CRM, AI, enrichment, sequencing. You don't have a system. GTM feels held together with Zaps, Slack messages, and one ops person who knows where everything lives.”
What we deliver
A documented GTM infrastructure that supports your motion and runs without a single dependency.
WHAT WE BELIEVE
Three Principles, Every Engagement
Clarity Before Automation
We define the process on paper before we touch the workflow builder or the AI layer. Every engagement starts with written lifecycle criteria, handoff rules, and ownership — agreed on by every team. Adding AI to a broken process makes it break at scale.
AI Where It Compounds
AI belongs in enrichment, routing logic, sequence personalization, and scoring — not as a substitute for a coherent data model. We layer AI on top of a clean architecture, not underneath a broken one. The result is automation that gets smarter over time, not noisier.
Built to Be Handed Off
Every system is documented, labelled, and designed to be run by your team without us. We write the wiki, label every workflow with purpose and owner, and train whoever maintains it. The goal is your independence — not our retainer.
CLIENT RESULTS
What Happens After the Rebuild
“We had a CRM, Clay, Apollo, and AI sequencing — and none of it was connected. Sahil rebuilt our entire data model, defined our MQL criteria for the first time, and had our sales team actually trusting the system within six weeks. Lead response time dropped from two days to under two hours.”
“Three agencies had touched our GTM stack and nobody owned any of it. Sahil audited everything, found eight critical infrastructure gaps we had no idea about, and rebuilt the lifecycle automation from scratch. We can finally forecast with confidence.”