AI GTM and revenue systems

Most companies don't
need more leads.

They need to stop leaking the revenue already passing through the funnel. We find where it goes, and build the system that gets it back.

The GTM system

Go-to-market is one system, not a marketing number and a sales number.

Five stages — demand, leads, intent, opportunity, revenue — joined by four handoffs: lead capture, lead qualification, MQL-to-SQL acceptance, and opportunity-to-close. Marketing carries the first two, sales carries the last two, and nobody carries the joins.

  1. Marketing owns one half. Sales owns the other. Which is why nobody owns what happens between them.
  2. Go-to-market is one system: from a market that has never heard of you, to revenue that repeats.
  3. The record changes what it is at every step - anonymous visitor, then lead, then MQL, then opportunity, then closed-won.
  4. So the stages are not where it breaks.
  5. The handoffs are: lead capture, lead qualification, MQL to SQL, and opportunity to close. Each one is a decision nobody owns.
The five stages, defined
DEMAND
Attention that has not identified itself yet - anonymous traffic and awareness.
LEADS
A name, a way to reach them, and a reason to talk. The lead record exists.
INTENT
Evidence that this one is in market now, not in general. Where a lead becomes an MQL.
OPPORTUNITY
Sales has accepted it - an SQL - and it is a live deal with a number and a date.
REVENUE
Money in, closed-won - and a record of why it came.
The twelve-stage model in full
Why the stack stopped working

Execution got cheap. Qualification did not get better.

CRM, enrichment, sequencer, scoring, dialer — every one of them now does more per rep for less. None of them decides which accounts deserve the next touch, because that judgement has to encode what a good lead means in your business. So activity rose and the same four handoffs kept failing.

  1. Then the tools got faster, cheaper and more capable.
  2. Every one of them can now do more, for less, per rep.
  3. And none of it reaches the system - more capable execution, pointed at the same handoffs, deciding nothing new.
  4. Capability is not context. A tool cannot know what a good lead means in your business, so it ships the sending instead.
The four layers, and which one is empty
  • DataRecords, enrichment, signals
    CommoditisedAnyone can resell it
  • JudgementIs this worth doing, and why now
    EmptyBespoke to each business, so no tool can ship it
  • ExecutionSending, sequencing, routing
    SaturatedEveryone bought the same machine
  • FeedbackAttribution, reporting
    MatureOwned by RevOps

Tool vendors can't sell judgement — it has to encode what a good lead means in your business. So they sell data and sending.

Why now

Everyone bought the same machine, and it stopped working.

Buyers did not stop answering good emails. They stopped answering emails that are almost good — and almost-good is exactly what execution-layer AI produces at scale.

5.1% → 3.43%cold email reply rate, 2024 to 2026
1,150 → 7,400outbound sent per rep per month, same period
50–70%of AI SDR tools cancelled inside the first year

Sources: Digital Applied AI SDR statistics, 2026. Every figure Amoris publishes carries a named source and a retrieval date.

Revenue leakage

Pipeline leaks at the handoffs, not inside the stages.

A stage has an owner; a join does not. Each handoff has to answer four questions — context, decision, action, feedback — and every miss is demand you already acquired leaving the funnel. Recovering it costs less than buying the same volume again.

  1. More volume was never the fix. Demand you already paid for is leaking back out of the system.
  2. Every handoff has to answer four questions - context, decision, action, feedback. Miss one and revenue exits there.
  3. Lead capture, the action question: someone raises their hand, and the business answers hours later.
  4. Lead qualification, the context question: leads exist, and nobody follows up.
  5. Not every handoff is on this map. Amoris marks three and the loop; the MQL-to-SQL handoff it does not claim.
  6. Opportunity to close, the action question: the proposal takes days, and reads like the last one.
  7. And nothing tells the front of the system what worked. The loop back from revenue to demand never closes.
The same spine, showing where revenue leaks: slow response between demand and leads, forgotten demand between leads and intent, opportunity friction between opportunity and revenue, and decision blindness, which is the feedback loop back from revenue that was never closed.DEMANDLEADSINTENTOPPORTUNITYREVENUE02SLOWRESPONSE01FORGOTTENDEMAND03OPPORTUNITYFRICTION04DECISION BLINDNESS — NOTHING COMES BACKThe same spine, showing where revenue leaks: slow response between demand and leads, forgotten demand between leads and intent, opportunity friction between opportunity and revenue, and decision blindness, which is the feedback loop back from revenue that was never closed.DEMANDLEADSINTENTOPPORTUNITYREVENUE02010304
The four leaks, and the SKU that closes each
  • 01

    Forgotten demand

    Leads exist. Nobody follows up. The tail was abandoned months ago.

  • 02

    Slow response

    Someone raises their hand. The business answers hours later.

  • 03

    Opportunity friction

    A qualified prospect waits days for a proposal that reads like the last one.

  • 04

    Decision blindness

    The data exists. Nobody can say what changed, why, or what to do next.

One handoff is deliberately unmarked. Amoris has no intervention at the MQL-to-SQL handoff, and completing the picture for symmetry would be inventing a capability.

The full leak taxonomy, and which have a fix
The interventions

One intervention per leak. Dormant Lead Revenue Recovery is the one you can buy.

Each is a decision layer installed at a named handoff, inside the CRM and sequencer you already run — no platform, no seats, no migration. Lead Response Engine, Proposal-to-Close and Revenue Intelligence are specified and not yet built, and the diagram says so rather than implying a catalogue.

  1. Four places revenue leaves: three handoffs, and a loop that never closes.
  2. The band above the system is still empty.
  3. What belongs there is judgement - not another tool, but a decision that sits on the handoff and knows your business.
  4. Which mostly means deciding not to act. The ratio depends on your data; this is a shape, not a benchmark.
  5. Four interventions. One of them exists today - the other three are named because they are designed, not because they are for sale.
The same spine, showing the four Amoris interventions at the points where revenue leaks. Only Dormant Lead Revenue Recovery is currently available; the other three are designed but not built.DEMANDLEADSINTENTOPPORTUNITYREVENUE02IN DESIGN01AVAILABLE03IN DESIGNThe same spine, showing the four Amoris interventions at the points where revenue leaks. Only Dormant Lead Revenue Recovery is currently available; the other three are designed but not built.DEMANDLEADSINTENTOPPORTUNITYREVENUE020103
  • 01

    Dormant Lead Revenue Recovery

    Closes: forgotten demand

    Available now
  • 02

    Lead Response Engine

    Closes: slow response

    In design
  • 03

    Proposal-to-Close

    Closes: opportunity friction

    In design
  • 04

    Revenue Intelligence

    Closes: decision blindness

    In design
What a HOLD decision actually looks like
Dormant lead reviewLead #4,182
  • Enquired, and we have the record
  • Reached a real conversation
  • Reason it stalled is known
  • Contactable, consent intact
  • Something has changed since
Evidence

Stalled on a missing integration, recorded at the time.

That integration still does not exist.

DecisionHOLD

Nothing has changed. There is no honest reason to make contact.

Most systems are built to send more.
Ours is built to decide better.
SKU 01 · Available

Dormant Lead Revenue Recovery

Closed-lost and unworked leads carry the reason they died, and those reasons expire on observable events — a funding round, a new VP, a competitor churning. Joining loss reason to resolution event is the qualification step. The outreach is the easy part, and it is the only part most re-engagement programmes actually do.

  1. One of the four is built: Dormant Lead Revenue Recovery, at the lead qualification handoff.
  2. Every closed-lost record already carries the reason it died.
  3. And reasons expire. Budgets reset, champions get hired, and the competitor they picked churns.
  4. The join is loss reason against resolution event - not a re-send to everyone who ever went quiet.
  5. Some reasons have no resolution event. A record that simply went dark stays dark.
  6. What comes out is small. Most of the list stays dark, and the share depends entirely on your data.
  7. Demand you already paid for, worked on evidence.
How Dormant Lead Revenue Recovery works →
Praveen Shahi, founder of Amoris
Founder-led

Praveen Shahi

Ten years running revenue teams

The person scoping your pilot is the person who writes the code. Nothing is lost in a handoff, and nothing is promised that cannot be built.

Before Amoris
150+person sales org led
$120K+net-new revenue per month
₹3.5CrARR scaled at another company

From Praveen's operating career — Great Learning and CrunchPrep. Not Amoris client results.

What Amoris does not have

No completed client engagements. No case studies, no named clients, no measured reply rates — because none have been measured, and inventing them is what everyone else does.

What is offered instead: the method and the full calculation model, published before you commit to anything.

We're a great fit if
  • A human closes the sale
  • Real lead volume, and a history worth reading
  • You have shipped or changed something this year
  • Quality over volume
  • You would rather know than guess
We're not a fit if
  • Self-serve checkout, no conversation on record
  • You want volume regardless of evidence
  • You want fully autonomous outreach
  • You need a tool or a sequencer
  • Nothing about the offer has changed in years
The stack we work across
Data & intel
  • Clay
  • ZoomInfo
  • Apollo
  • Clearbit
Signals
  • Common Room
  • Warmly
  • G2
  • RB2B
CRM
  • HubSpot
  • Salesforce
  • Attio
Orchestration
  • n8n
  • LangGraph
  • PostgreSQL

Built with and integrated into — not a list of pre-built connectors.

How we engage

Four stages. Each one has an exit.

An agency that cannot say where an engagement ends is asking for an open-ended retainer. Every stage below states what finished looks like.

  1. 1Opportunity ScanFree. You share one export. You get a written view of where revenue is leaking — yours to keep either way.Done = A recommendation, or an honest nothing-here-yet
  2. 2Pilot30 days, one cohort, one metric agreed in writing before anything is built.Done = Measured against a baseline captured beforehand
  3. 3DeploymentThe pilot proved it. Now it runs at full scope, in your environment.Done = Works without Amoris present
  4. 4Managed systemMonthly. Not support — each month tests something, measures it, keeps what works.Done = Continuous. Ends when you say so
Amoris Learn

Learn to build this yourself.

Amoris builds AI GTM systems for companies. Amoris Learn teaches professionals to build their own — from AI literacy to designing AI-powered workflows and systems.

Same principle: decide better before you send more.

Find your AI level →

Find out what's already in there.

Send one export of the leads that never converted. You get back a written view of what's in it, how much is still reachable, and how much died for a reason you have since fixed. Free, and yours to keep either way.

No deck, no pitch. And it can conclude there is nothing here worth doing.