AI GTM Engineering Consulting Studio
Revenue is a system.We engineer it.
An independent studio designing AI-native go-to-market systems for B2B companies that refuse to grow by headcount alone.
01 / Approach
Most companies don't have a pipeline problem. They have a signal problem: too many tools, too much noise, and nothing connecting what buyers do to what sellers do next. We design that system, build it, and hand you the keys.
02 / What changes
The gaps a real GTM engine closes.
Before
Leads wait on a person
Website leads sit in the CRM until someone happens to notice them.
With the engine
Scored and routed in minutes
Every signal is scored and in front of its owner, usually within five minutes.
Before
Pipeline isn't counted
Deals are created late or without a value, so the forecast is a guess.
With the engine
Every opportunity counts
Deals open at booking with a planning value, and blanks are filled automatically.
Before
Demos go missing
Meetings booked outside the system never make it into the pipeline.
With the engine
Every meeting is caught
Calendars are checked continuously and outside bookings are detected and logged.
Before
Credit is set by hand
Attribution depends on someone remembering to update a field.
With the engine
Credit is automatic
The rep who sourced or worked the account is credited from real activity.
Before
Churn is found late
Customer status drifts between billing, product, and CRM for months.
With the engine
Customer state stays current
Status syncs every few minutes, with an alert the moment systems disagree.
03 / The engine
Every buying signal becomes an agent-activated opportunity.
Agents catch, score, and route every signal, then put the next step in front of the person who owns it. The same loop runs for every account, no matter where the interest came from. This is what we build.
Site visits, forms, bookings, ad clicks, chats, LinkedIn replies, and CRM changes all come through one front door.
Listen / Catch every signal
Illustrative
Incoming signals
Live- ChatAsked about SSO and data residency
- LinkedInReplied to a rep's message
- AdsClicked ABM ad for security buyers
- FormRequested the platform overview
- BookingDemo booked for Thursday, 2:00 PM
Nine ways in, one front door. Inbound and outbound are judged by the same rules.
2weeks
From kickoff to a written diagnosis of where pipeline is won and lost.
6–12weeks
To design, build, and launch a working go-to-market engine.
1team
Strategy, systems, and implementation. No hand-offs between agencies.
0black boxes
Every workflow, prompt, and dashboard is documented and yours.
04 / Capabilities
Six disciplines. One connected engine.
- 01
Market Intelligence
Map the accounts and buyers most likely to convert, then rank them by live intent and fit, not last year's spreadsheet.
- ICP
- Segmentation
- Intent data
- 02
Narrative & Positioning
A sharper story, tested against how your buyers actually talk in calls, reviews, and the questions they ask.
- Messaging
- Personas
- Category
- 03
Signal-Based Outbound
Agent-assisted research and personalization that reaches the right person at the right moment, with reps in control.
- Prospecting
- Sequencing
- AI agents
- 04
Revenue Systems
CRM, enrichment, and engagement tools wired into one system, so data flows cleanly and nothing leaks between teams.
- RevOps
- CRM
- Automation
- 05
Pipeline Analytics
Instrumentation from first touch to closed revenue, so you know which motions compound and which to cut.
- Attribution
- Forecasting
- Dashboards
- 06
Team Enablement
Playbooks, guardrails, and training that make AI a daily habit for sellers and marketers, not a side project.
- Playbooks
- Training
- Governance
05 / Process
From diagnosis to an engine that runs without anyone.
01 / Weeks 1–2
Diagnose
We audit your funnel, data, and tooling end to end, interview your team and customers, and find where revenue is actually won and lost.
OutputA written diagnosis and a ranked list of opportunities.
02 / Weeks 3–4
Design
We design the target system: segments, narrative, plays, data flows, and the AI stack to run them, sized to your team, not ours.
OutputA GTM blueprint with architecture and a build plan.
03 / Weeks 5–12
Deploy
We build and launch alongside your team, measuring every release against the pipeline metrics we agreed on up front.
OutputLive workflows, dashboards, and documented playbooks.
04 / Ongoing
Compound
We tune what works, retire what doesn't, and train your people until the engine runs, and keeps improving, without anyone holding it up.
OutputA system your team owns and operates.
06 / Your stack
The glue between tools you already pay for.
We are tool-agnostic. The engine is built on the stack you already run, so nothing here is a recommendation to buy. Your CRM stays the system of record, and every decision the engine makes leaves an audit trail.
System of record
Your data stays where it lives.
We read from and write to the CRM and warehouse you already run. Nothing moves into a system we own.
HubSpot
Salesforce
Attio
Snowflake
BigQuery
Supabase
Where people act
Work shows up where your team already is.
Briefs, alerts and approvals arrive in chat and email, not in another dashboard.
Slack
Microsoft Teams
Claude
Gmail
Outlook
Notion
Meetings and calls
Every conversation becomes a signal.
Calls and meetings are captured, summarized and written back to the record.
Cal.com
Calendly
Google Calendar
Google Meet
Zoom
Gong
Granola
Fireflies
Nooks
Who they are
One view of every account.
Firmographic, intent and community data resolve into a single picture of who is buying.
Apollo
Clay
6sense
G2
Common Room
Reaching out
Outreach that follows the signal.
Email, social and paid run from the same trigger and the same message.
LinkedIn
Outreach
Salesloft
Instantly
HeyReach
Google Ads
Meta Ads
Measuring
One number everyone believes.
Product, web and pipeline data roll up into a single read of what is working.
PostHog
Amplitude
Mixpanel
Google Analytics
Search Console
Metabase
Automation and agents
Agents with a paper trail.
Workflows and agents do the repeatable work, with every action logged.
n8n
Zapier
Make
OpenAI
Vercel
Sentry
Examples, not endorsements. We connect most tools with an API. Logos are trademarks of their owners and identify products we have connected, not partnerships.
07 / Fit
We're not for everyone, that's ok.
An engine only pays back in the right conditions. We would rather tell you now than twelve weeks in.
This is not for you if
You are still finding product-market fit.
An engine amplifies demand. It cannot invent it.
You want a lead-gen agency.
We build the system. We do not rent you a list or a team of callers.
Nobody on the executive team owns revenue operations.
Without a sponsor, the engine becomes a side project.
You need it live in two weeks.
The diagnosis alone takes two. We will not skip it.
08 / FAQ
Questions, answered.
Fit and scope
B2B companies from seed to growth stage that have product-market fit and want a repeatable, efficient way to build pipeline. The best fit is a team with real buyer interest already arriving through the site, the CRM, and outbound, and no reliable way to turn all of it into owned next steps.
The automation that sits between your tools and your team. It catches every buying signal, enriches and scores the account against your ideal customer profile, routes it to the right owner, prompts the next step, and keeps the CRM accurate from first touch to renewal. Your team sees one decision card instead of ten dashboards.
A working system in your own accounts: live workflows and agents, scoring and routing rules, dashboards, and written playbooks. Everything is documented and handed over, including prompts and logic, so there is nothing you have to rent back from us.
The engagement
The diagnosis takes two weeks and ends with a written read-out. Designing, building, and launching the engine typically runs six to twelve weeks after that, with the first workflows live early in the build rather than at the end.
An executive sponsor, an owner on the revenue or operations side, and admin access to the tools involved. Plan on a few hours a week from that owner during the build, plus short interviews with sellers and customers during the diagnosis.
We work alongside them. RevOps usually becomes the long-term owner of the engine, and we build it to their standards. If an agency runs campaigns, the engine makes sure every response those campaigns create is scored, owned, and followed up.
Your team runs it. We stay through a handover period to tune scoring, retire what isn't earning its place, and train the people who own it. Ongoing support is optional, not a condition of the system working.
Tools and data
Usually not. We start with the CRM, data, and engagement tools you already pay for and connect them. We only recommend something new when the return is clear, and we say so before you spend anything.
HubSpot and Salesforce as the system of record, Slack or Teams as the place people act, and the common data, meeting, outreach, and analytics tools around them. If a tool has an API, we can usually connect it.
The engine runs in your accounts with least-privilege access, and your CRM stays the system of record. Customer data stays in your systems, and we agree up front which data any AI model is allowed to see.
AI and results
No. Agents take the busywork: research, enrichment, data entry, routing, and first drafts. People make the judgment calls and own the relationships, so more of their week goes to selling.
Not by default. Agents draft and a person sends. Every automated decision is logged with its evidence, so you can audit why an account was scored, routed, or chased the way it was.
We agree on the pipeline metrics before we build: speed to lead, coverage of qualified accounts, meetings held, pipeline created, and forecast accuracy. Every release is measured against that baseline and reported in the same dashboards your leadership uses.
Next step
Build the engine.
Thirty minutes. We'll map your biggest pipeline opportunity and tell you honestly whether AI is the right lever for it.