FAQ
Questions about AI GTM automation
Do you guarantee revenue
No. Any vendor that guarantees closed revenue is either misrepresenting the work or absorbing the risk in a way that will not survive the third client.
Closed revenue depends on:
- The product and how well it fits the market
- Pricing and packaging
- Sales execution on your side
- Buyer timing and internal decision cycles
- External conditions (competitive moves, budget resets, macro)
None of these are things a pilot can fix inside its scope. A pilot can improve the intelligence, the account priorities, the commercial hypotheses and the conversion insight that feed into the revenue outcome, and those are the things Amoris measures.
What Amoris does commit to:
- The pilot runs against a written objective with agreed metrics.
- The deliverables are named before work begins.
- A baseline is captured before anything is built.
- The final review reports plainly whether the pilot worked, including when it did not.
- Everything Amoris builds specifically for your business stays yours.
The engagement is honest about what a pilot can and cannot control. That is a stronger position than a guarantee written on sand.
How do we know a pilot worked
Metrics are agreed in writing before the pilot begins. Not after. A metric renegotiated at the end is a claim, not a measurement.
Three tiers of measurement, chosen against the pilot objective:
- Intelligence. Number of relevant accounts identified. Accuracy of ICP hypotheses. Commercial signals surfaced. This is what a GTM Intelligence pilot is directly responsible for.
- Pipeline. Qualified accounts, conversations initiated, meetings generated, qualified opportunities created. Amoris influences these; the sales team owns their conversion.
- Commercial. Where scope allows: pipeline value influenced, conversion movement, sales cycle insights. Attribution is documented, not asserted.
Amoris does not guarantee closed revenue. Closed revenue depends on product, market, pricing, sales execution, buyer timing and external conditions that a pilot cannot control. A pilot measures what it can reasonably influence.
A pilot can conclude that it did not work. That is written into how the pilot is scoped. If the answer at week five is “the hypothesis did not hold up”, that is the finding. The final review says so in plain terms and points at what a smarter next step would be, whether or not it involves Amoris.
How does a pilot work
A pilot is a focused paid engagement built around one commercial problem, with a written objective and a fixed fee. Five phases, each with a defined exit.
The sequence:
- Understand. The business, the product, the market, the ICP hypothesis, the current GTM motion and the commercial objective. Nothing further gets built while any of these are still fuzzy.
- Map. Build the initial intelligence structure. Market, customers, accounts, buyers, signals and opportunities laid out against the objective.
- Design. Configure the workflows and agents that will run against the map. Define what information is needed, what outputs matter and what requires human approval.
- Test. Run the system against the commercial objective. Find accounts, identify signals, prioritize opportunities, test messaging hypotheses.
- Learn. A written review of results, accuracy, commercial relevance, gaps and recommended next actions. You keep the analysis whether or not anything follows.
Deliverables depend on the pilot’s objective. A GTM Intelligence pilot may produce a GTM Opportunity Map, an ICP hypothesis, a prioritized account list, account intelligence briefs, GTM workflow design and the pilot findings. A Revenue Conversion pilot produces a leakage map with the messaging, qualification and objection patterns that drive it.
Metrics are agreed in writing before the pilot begins. Intelligence quality (accounts identified, ICP accuracy, signals surfaced), pipeline (qualified accounts, meetings, opportunities) and, where scope allows, commercial (pipeline influenced, conversion movement).
Amoris does not guarantee closed revenue. Closed revenue depends on product, market, pricing, sales execution, buyer timing and external conditions a pilot cannot control. A pilot measures what it can reasonably influence.
A pilot can conclude that it did not work. That is a legitimate outcome, written into how the pilot is scoped, and reported as plainly as a positive result.
How is Amoris different from other AI GTM options
Every category on this list is doing useful work. Amoris is doing a different kind of work.
Versus a traditional GTM agency. Agencies typically sell execution capacity. Amoris begins with commercial intelligence and can connect that intelligence to execution.
Versus a lead-generation agency. Lead-gen agencies sell meetings, leads or contact lists. Amoris focuses first on which opportunities matter, why now, why this account, which buyer and which commercial hypothesis.
Versus an AI automation agency. Automation agencies sell technology, generic across use cases. Amoris is domain-specific: the system is designed around GTM and commercial outcomes.
Versus a GTM consultant. A consultant provides strategic recommendations. Amoris combines strategy with an operational intelligence infrastructure that can perform and repeat the work.
Versus GTM tools (Salesforce, HubSpot, Apollo, Clay, Zapier, Make). Tools solve specific parts of the workflow. Amoris is designed as a layer that connects intelligence and workflows across the commercial journey, not another one of them.
Versus AI SDR platforms. Those platforms are optimised to send high volume. Amoris is optimised to identify the commercial opportunities that are worth engaging in the first place.
How is my data handled
Access is staged. Amoris asks for access to what a specific workflow actually needs, and declines offered extras. A pilot working on account prioritization does not need access to your billing system.
Time-bounded. Access lives for the length of the engagement plus an agreed short handover window. Credentials are revoked at the end.
Contact-form intake retention. Submissions to the contact form live in Formspree (the default endpoint) or the Amoris email inbox. I read every submission personally. I do not share it with third parties. Retention: twelve months for intakes that did not lead to a continuing conversation, after which they are deleted.
Pilot data retention. Data provided during a pilot lives for the pilot’s duration and a handover window that gets set in the contract. After that, working copies are removed on a written schedule.
DPA on request. A Data Processing Agreement is available for pilots that involve personal data covered by GDPR, DPDP or comparable regimes. Ask on the discovery call.
What Amoris does not do:
- Train third-party models on your data
- Resell your account, buyer or customer information
- Store data outside the environments named in the engagement
- Retain data past the engagement without a written reason and timeline
For the fuller position, see
/data-and-ip.What do we own after a pilot
Everything built specifically for your business during a pilot or deployment stays yours. That includes the intelligence structure, the account list, the ICP hypothesis, the workflow designs and any documents (Opportunity Map, briefs, findings).
The Amoris reasoning core is reusable Amoris IP. It is not shipped as source code. It gets sharper with every engagement and stays in the Amoris operating environment.
Client-specific adapters and workflows are built to fit your commercial motion. Once the pilot ends, you decide whether they get handed to your team, run by Amoris as part of a fractional engagement, or wound down.
Access to your data. Amoris asks only for what a specific workflow needs, and declines offered extras. Access is time-bounded to the engagement. When it ends, credentials are revoked and any working copies of client data are removed on the timeline agreed in writing.
Not on offer. Full CRM ownership. Unrestricted access to systems the pilot does not touch. Custom enterprise software with an open-ended handover.
What does a pilot cost
No published rate card. Pricing is scoped after a first conversation, when the shape of the problem, the deliverables and the timeline are real.
How pricing is built. A pilot fee reflects strategic diagnosis, system design, technical implementation, GTM expertise, research, agent workflow configuration and commercial testing. It is priced against the specific engagement, not per hour and not as software.
Payment options.
- 100% on start for smaller pilots.
- 50% on start plus 50% on completion for larger scope.
What is not offered. Payment fully in arrears against results. A pilot that runs on the operator’s cash is not a pilot; it is a co-investment nobody agreed to, and it changes the incentives on both sides.
Fractional and leadership engagements are scoped and priced separately, on the shape of the mandate rather than a pilot fee.
Rupee or USD. Payable to a company in India. Quoted in the currency of the client’s choice at the time of the proposal.
What does Amoris actually do
Amoris helps B2B companies turn market intelligence into qualified sales opportunities.
That is the primary explanation. AI, agents and the underlying architecture come second, when a buyer wants to know how the outcome is produced.
Two commercial capabilities, sold as paid pilots.
- SKU 01, GTM Intelligence & Pipeline. The primary entry point. Answers the question “where should we focus, and which commercial opportunities should we pursue”. Outputs include ICP clarity, market intelligence, account prioritization, commercial signals, opportunity identification and a better-qualified pipeline.
- SKU 02, Revenue Conversion & Leakage. Secondary. Answers “why are opportunities not becoming revenue”. Outputs include funnel leakage analysis, sales conversation insights, objection patterns and buyer decision gaps.
The system underneath. Specialized agents (market intelligence, ICP, research, signal intelligence, account prioritization, commercial strategy, outreach, revenue leakage, call analysis) work against a shared knowledge layer that holds company, product, market, ICP, customer, account, buyer, pain, signal, opportunity, conversation and outcome. A human controls the commercial strategy, prioritization and approval.
What Amoris does not sell. Generic AI consulting. Mass cold outreach. Contact list generation. AI content in volume. An autonomous sales replacement. Another AI wrapper. The system may use some of these capabilities internally; they are not the commercial product.
Beyond a pilot, Amoris supports fractional GTM engagements for companies needing ongoing strategic ownership, and full-time GTM leadership where the mandate is broader than an external engagement.
What is agentic GTM
Agentic GTM is a way of building go-to-market work where specialized AI agents perform discrete GTM tasks against a shared commercial knowledge layer, under human strategic control.
Three components make it different from generic AI automation:
- Specialized agents. Not one general assistant. Individually scoped agents for market intelligence, ICP work, research, signal detection, account prioritization, commercial strategy, outreach preparation, revenue leakage analysis and call analysis. Each has a defined input, output and boundary.
- A shared knowledge layer. The agents work against a common map of company, product, market, ICP, customer, account, buyer, pain, signal, opportunity, conversation and outcome. This is the difference between “another integration” and “intelligence that compounds”.
- Human commercial control. The operator sets the objective, the priorities, the messaging direction, the testing decisions and the approval gates. AI does not replace GTM judgement; it removes the fragmentation that stops judgement from scaling.
What agentic GTM is not. It is not “autonomous sales”. It is not a swarm of AI SDRs sending unattended messages. It is not a chatbot that talks to customers. It is a way of organising commercial work so that intelligence, workflow and judgement can move together.
In practice for Amoris. The system built on LangGraph and n8n. A pilot decides which agents to run, against which knowledge, with what approval gates, on what timeline, against what commercial metric.
What is GTM intelligence
GTM intelligence is the connected commercial understanding a business needs to answer four questions:
- Which markets and segments are we actually in?
- Which accounts inside those segments deserve commercial attention right now?
- Why might they buy, from whom, and about what?
- Which of our own commercial hypotheses have been holding up, and which have not?
Most companies hold pieces of the answer in different places. Market research sits with a strategy team, ICP definitions live in a sales handbook, account research is tucked in a CRM note, buyer signals live in a marketing tool nobody has joined to the CRM, and revenue outcomes live in the pipeline report. GTM intelligence is the discipline of joining those pieces so they compound.
Not the same as sales intelligence. Sales intelligence is usually a contact database. GTM intelligence is one level up: a connected view of market, ICP, accounts, buyers, signals and outcomes, with a clear read on why a given commercial priority is the priority.
Not the same as BI. BI reports what has happened. GTM intelligence supports what should happen next.
Amoris builds this layer as part of a GTM Intelligence and Pipeline pilot and, where the mandate is broader, as part of a fractional GTM engagement.
What is the Opportunity Scan
The Opportunity Scan is a pre-sales intelligence exercise Amoris runs before proposing a pilot. It uses public information to develop informed GTM hypotheses about a specific company, and it separates every finding into an observation, an inference and a hypothesis.
Typical contents of a Scan:
- A company and product profile
- The market map: category, segments, competitors, alternatives, trends
- A public ICP hypothesis (clearly marked as needing client validation)
- The visible GTM motion (founder-led, outbound, content, product-led)
- Recent commercial signals (funding, hiring, expansion, launches, partnerships)
- One or two GTM hypotheses the pilot could test
- A sample account analysis with a why-this-account, why-now and conversation angle
Rules the Scan follows:
- No internal information claimed. Every finding is grounded in publicly observable evidence.
- Facts, inferences and hypotheses are labelled distinctly.
- Nothing is marketed as a “diagnostic”; it is a first read that the client corrects.
Deliverable. A short written document. You keep it whether or not a pilot follows.
How to request one. Send an intake through
/contact, or mention it on a discovery call.Who is Amoris a fit for
Amoris is a fit for B2B companies with a real commercial objective, a describable GTM problem, some ability to test new workflows and enough market activity to analyze.
Strong signals of fit:
- Founder-led sales that needs a more repeatable intelligence system
- Growing B2B startups (seed to Series B and beyond) building outbound motion
- Companies entering new markets or new segments
- Companies hiring GTM or sales leadership, or building the function from a small team
- Companies whose pipeline quality is a stated problem
- Companies with fragmented GTM operations across too many tools
- Companies with sales activity but weak conversion visibility
Initial buyers: Founder or CEO, CRO, VP Sales, Head of Growth, Head of GTM, revenue leader.
Not a fit when:
- Self-serve ecommerce checkout, where no commercial conversation happens
- You want volume regardless of what the evidence supports
- You want fully autonomous outreach
- You need a tool or a sequencer rather than commercial judgement
- The business does not have enough market activity yet for signal to matter
- The mandate is a company-wide transformation the pilot cannot scope
No questions match your search.