GTM Brain Build

An AI GTM brain, built inside your org

Every account briefed before a rep opens it. We build it in your CRM and your own accounts, so you own all of it: no SpecSavi platform, no per-seat licence.

Estimate your build

7branches, pick the ones you need
from $20,000for the build
0SpecSavi platform or seat fees

What is a GTM Brain Build?

A GTM Brain Build is an AI system for go-to-market work that SpecSavi builds inside your CRM and your own AI and automation accounts, such as Claude, n8n, Zapier, Make or Activepieces. It has seven branches, from ICP research and prospecting to deal execution, forecasting and expansion, and every branch reads from and writes back to the CRM. There is no SpecSavi platform and no per-seat licence. The build starts from $20,000, and running it from $2,500 a month.

Updated October 11, 2026

Seven branches, one source of truth

Every branch reads from your CRM and writes back to it, so sales, marketing and customer success work from the same picture. Pick a branch to see what it takes over.

InteractiveThe GTM brain, branch by branch Sample outputs use made-up accounts, never client data.

Your CRMthe source of truth

ICP and market intelligence
Takes over
Manual account research and list building, for sales and marketing.
Sample output
Account fit 91: Rivet Analytics, Series A, 140 people, on HubSpot. Matches the pattern of your best closed-won deals. Expansion signal: two new teams onboarded.
Demand and prospecting
Takes over
Prospect research, enrichment and outreach prep, for BDRs.
Sample output
Outreach prepared for Dana Reeves, VP Sales at Northwind Labs. Signals: viewed pricing three times this week, hiring four SDRs. A draft opener waits for the rep's approval.
Dynamic nurture
Takes over
Campaign and follow-up management, for marketing.
Sample output
Meridian Health enrolled in the evaluation track: teardown email, ROI one-pager, case study, then a handoff to the AE. Opened twice, forwarded internally.
Deal execution
Takes over
Call summaries, deal admin and next steps, for AEs.
Sample output
Rivet, growth plan, proposal stage, flagged at risk: no economic buyer on the call. Next best action: bring in the CFO and send the security brief. Task created.
Insight and forecast
Takes over
The forecast someone rebuilds by hand every week, for leadership.
Sample output
Weekly digest: commit up on last week, coverage and win rate trending, and two deals slipping with no activity in 14 days.
Customer and expansion
Takes over
Manual health checks and guesswork on churn risk, for customer success.
Sample output
Meridian Health dropped from 84 to 62 in 30 days: usage down, two escalations, champion changed roles. Save play triggered, and an expansion flag: another team asked for three seats.
Governance and guardrails
Takes over
The RevOps discipline that keeps the CRM trustworthy. Every build includes it.
Sample output
12 AI drafts held for approval: 11 approved, 1 edited before sending. Blocked: an attempt to overwrite the Owner field. Nothing sent on its own, and every action logged and reversible.

How a build runs

Guardrails go in before the first branch, because AI on a messy CRM produces confident nonsense.

InteractiveFrom your CRM today to a brain that runs Select a step, or use Next.

What we do
Audit the CRM data and how your team actually works, and pick the branches that remove the most manual work first.
You get
A scoped build plan with a fixed price.
What we do
Field ownership, deduplication and the guardrails: what the AI may write, what needs a person's approval, and a log of every action.
You get
A CRM clean enough to build on.
What we do
Branches go live one at a time, tested in a sandbox first, each reading from and writing back to the CRM.
You get
Working branches your team uses from week to week.
What we do
Document the prompts, workflows and code, and hand it over, or keep it running and improving through RevOps as a Service.
You get
A system you own and understand.

Built on your stack

We use the tools that fit your team, in accounts you own.

Claudereasoning and writing
n8norchestration
Zapierorchestration
Makeorchestration
Activepiecesorchestration
Custom codewhere the tools stop
HubSpotsystem of record
Salesforcesystem of record

You own it

	GTM Brain Build	A typical AI sales tool
Where it runs	Your CRM and your accounts	The vendor's platform
What you pay	A build fee, then your own usage	A licence, often per seat
What it covers	Sales, marketing, CS and leadership	Usually one job, like outbound
When we part ways	Everything stays, documented	Access ends with the contract

Case study

Every account briefed before a rep opens it

A Series A/B B2B SaaS team at about $10M ARR wanted AI doing the actual work, not sitting in a pilot. We built the brain on their CRM and provided the fractional RevOps to run it.

Read the case study

The build from $20,000 Running it from $2,500/mo Estimate your build

How do I automate account research?

Write down what a rep needs to know about an account, then let a workflow gather it. Define your ICP fields and buying signals, fill them from enrichment sources in a set order, have AI write a short brief on the CRM record, and keep a person reviewing before anything is sent. Then measure time saved and meeting rate.

InteractiveAutomated account research in six steps Select a step, or use Next.

What happens
List the fields that decide fit, such as industry, headcount, region and the tools an account uses, and the signals that say it is in market now, such as hiring for the team you sell to or a new funding round.
Watch out for
Too many fields. If a rep would not act differently because of a field, leave it out.
What happens
Ask enrichment sources in a set order and stop at the first good answer. Fill only empty fields, never overwrite a value a rep has corrected, and record which source each value came from.
Watch out for
Running every provider on every record, which multiplies the cost.
What happens
The same short headings on every account: why it fits, what changed recently, who to talk to, a suggested angle, and what is not known yet.
Watch out for
Free-form AI summaries that read differently every time and are hard to check.
What happens
The brief lands on the account record in the CRM, with a task for the owner, so it is there when the rep opens the account.
Watch out for
Briefs kept in a separate tool or a spreadsheet that reps never open.
What happens
The rep reads and edits the brief before any outreach. AI drafts wait for approval, and wrong facts are flagged so the sources or the prompt get fixed.
Watch out for
Sending AI-written messages nobody has read.
What happens
Compare research time per account before and after, the meeting rate on briefed and unbriefed accounts, and how often reps rewrite the brief.
Watch out for
Counting briefs produced. The number that matters is meetings.

IllustrationOne account, researched by hand and by a workflowNorthwind Labs is a made-up company.

Before: by handabout 40 min

Read the website and LinkedIn page8 min
Look up headcount, funding and the tools they use7 min
Find the right people and their roles10 min
Search for recent news and job posts6 min
Check the CRM for past conversations4 min
Write notes where the next rep may not find them5 min

After: the brief on the CRM recordabout 4 min to review

Why it fits: B2B software, 180 people, on HubSpot. Matches four of your five ICP fields.
What changed: Hiring four SDRs this month. A new VP Sales started three months ago.
Who to talk to: Dana Reeves, VP Sales, new in the role. Sam Ortiz runs sales operations.
Suggested angle: New SDRs ramp faster when routing and lead data are clean before they start.
Not known yet: Which enrichment tool they use, and who owns the CRM.
Status: Waiting for the rep's review. Nothing has been sent.

Here a rep spends about 40 minutes researching one account by hand, and about 4 checking a brief that is already on the record. The time saved only counts if the meeting rate holds or improves, so measure both.

An illustration with made-up numbers, not a client's.

We build this as the ICP and prospecting branches of a GTM Brain Build, in your CRM and accounts you own. The enrichment side is covered under signals and enrichment in Clay, and outreach drafted by AI with a person approving every message under AI SDR.

Frequently Asked Questions

Is this a product we subscribe to?

No. It is a service. We build the system inside your org, in your CRM and in AI and automation accounts you own, and hand it over documented. There is no SpecSavi platform and no licence to renew.

Does it send anything on its own?

Only what you allow. Drafts are held for a person's approval by default, the AI can write only to the fields you agree, and every action is logged so it can be reviewed and reversed.

Do we need clean CRM data first?

Clean enough, and that is part of the build. The foundation step covers field ownership and deduplication before any branch goes live. If the data needs more than that, the estimate shows it.

Which tools do you build with?

Claude for reasoning and writing, n8n, Zapier, Make or Activepieces for orchestration, and custom code where those stop, on HubSpot or Salesforce. We pick what fits your stack and your team's skills.

Do we have to build all seven branches?

No. Most teams start with the two or three branches that remove the most manual work, plus the guardrails, and add the rest once those are earning their keep.

How do you automate account research for sales?

Define the ICP fields and buying signals a rep needs, fill them from enrichment sources in a set order, have AI write a short brief from a fixed template onto the CRM account record, and have the rep review it before any outreach. Then measure research time saved and the meeting rate on briefed accounts.