Tier 1 · Diagnostic pilot
Diagnose the GTM before you automate it.
A two-to-four-week diagnostic that reads your GTM motion end to end, grades every claim on evidence, and hands you a written map of what is leaking revenue. For AI-native teams that already have a motion running.
What Amoris is
One intelligence layer across the entire GTM.
GTM is one system, not five. Amoris sits across the transitions where revenue leaks.
01
One system, not five.
Market context feeds ICP, ICP frames pain, pain shapes demand, demand qualifies into revenue, and every outcome loops back to learning.
02
Across transitions, not inside them.
The intelligence layer that reads your GTM signals, grades them on evidence, and hands the human a decision — not another point tool.
03
Human at every consequential gate.
No autonomous sends. Every action a human approves before it leaves the system, always.
The wedge
Your pipeline is not a volume problem. It is an evidence problem.
GTM does not break at the stages. It breaks between them.
01
Signals are noisy, not missing.
You already have market activity, buyer behaviour and interaction data. Nobody joins them.
02
Right accounts, wrong prioritisation.
ICP exists in the CRM but scoring runs on activity, not evidence of fit.
03
Interest without follow-up.
Replies happen, meetings drop, opportunities stall. The stages are fine; the joins leak revenue.
Method, in brief
From signal to decision, with evidence at every step.
Eight named stages between a market signal and the next smarter action.
01
Signal → evidence → context → decision.
Real-world signals become graded evidence; evidence gets interpreted through your ICP; reasoning becomes a decision.
02
Every outcome becomes context.
Actions produce outcomes; outcomes feed learning; the next decision starts smarter than the last.
03
Runs through your existing stack.
Amoris does not replace tools. It routes decisions back through the CRM, sequencer and comms you already run.
Differentiation
Not another tool. The reasoning layer above the stack.
Same tools. Smarter decisions. Higher revenue.
01
Not a CRM. Not a sequencer. Not an SDR.
Amoris is the reasoning layer that sits above the tools you already run — connected, not replaced.
02
Reads from the stack, writes decisions back.
Same tools produce the data; Amoris produces the decisions; the stack executes them.
03
Nothing gets ripped and replaced.
The GTM motion gets an intelligence layer, not more surface area or another login.
How it avoids slop
Confidence cannot exceed evidence.
How Amoris prevents AI hallucinations in GTM decisions.
01
Every claim gets a label.
FACT (verified), INFERENCE (logical from evidence), HYPOTHESIS (plausible), UNKNOWN (not enough evidence).
02
Confidence calibrated to evidence.
90% only when multiple sources agree. 10% when the claim is speculative. No overreach, no hallucinations.
03
Reasoning is auditable.
Every claim carries its source and rationale. Your legal team can trace any decision back to what it was built on.
Why it gets sharper
Every outcome makes the next cycle smarter.
The moat is the memory, not the model.
01
Better inputs, smarter decisions.
Real GTM context — market, ICP, existing data, history — produces recommendations that fit your business.
02
Outcomes feed a per-tenant memory graph.
Wins, losses, replies, meetings — all written back to a graph that grows with your GTM.
03
Compounding advantage.
Static playbooks stay static. Amoris’ next recommendation is informed by what actually worked for you last quarter.
The model
Twelve stages. Six leaks. One system.
The GTM system Amoris diagnoses, in reference form. Every stage and every named leak has its own definition on the deep-read model page.
Leads
Intent
Opportunity
Where revenue actually leaks
Take it with you
The Amoris GTM OS
Company, market and context feed intelligence, demand and revenue on one loop.
PDF · Free
Free download
The GTM Intelligence Framework
The one-page architecture that maps how market context, ICP, demand, revenue and learning connect as one system.
- The full 8-stage GTM loop from signal to learning
- How Amoris plugs in above your existing GTM stack
- The 7-layer production infrastructure that keeps it running
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The GTM Intelligence Framework is ready.
A short note will follow. If Amoris is not a fit for what you are working on, it says so.
Download the PDFProof
Amoris runs on Amoris first.
Before the OS reads your GTM, it read ours. The Sprint 8 dogfood ran the full loop on Amoris' own business and produced a verified diagnostic artefact — reproducible and inspectable.
236
Tests green
11
Iterations to a clean pass
3
Structural failures caught
0
Fabricated customer facts
Internal dogfood, on Amoris' own business context. Demonstrates system behaviour, not customer revenue impact. The honesty is deliberate.
Who this is for
AI-native teams with a GTM motion already running.
A fit
- AI-native SaaS or agentic product, post-PMF, 5–50 people
- Outbound motion running, not compounding
- Founder-led sales or a small RevOps function that owns the pipeline
- Enough historical interaction data to reason over
Probably not
- Pre-PMF, still searching for the first paying customers
- Enterprise with 250+ people and procurement-led buying
- Pure self-serve PLG, no sales-assisted motion
- Regulated industries where PII and compliance dominate
2–4 weeks · one written map · AI-native only
A diagnosis you can act on. Or refuse.
You keep the written map either way. If the diagnosis is not usable, you do not pay for the second phase.
Book a diagnostic