45+ GTM agents delivered across B2B SaaS, AI, and enterprise teams

Make GTM
Automation Real

Deploy AI Agents that scale output without scaling headcount.

How will you use GammaFlow?

Book Automation Audit

Partnering With Industry Leaders

#1 GTM AI workflow partner

We partner with you to fully automate workflows.

We move from messy process notes to production-ready agents with a clear operating model, measurable outputs, and room to improve as your GTM motion changes.

Workflow map
SignalsResearchAction
Demand generation workflow
Owner, inputs, approval path

1. Scope Workflow

Identify the highest-leverage GTM workflow, required systems, review points, and success metric.

Version 1
GammaFlow Agent Build account brief → route play → draft seller action

2. Create Alpha

Build the first agent workflow around your real data, tools, prompts, and operating constraints.

Test run
92%
Input qualityRouting logicHuman review

3. Test Agent

Run the workflow against real examples to catch gaps before it touches live revenue work.

Improve

4. Iterate And Improve

Tighten prompts, data inputs, QA checks, and handoffs until the workflow is reliable.

Scale
$3M
Pipeline accelerated

5. Scale

Turn the proven workflow into a repeatable agent operating layer across the GTM team.

Built for every GTM team.

Our deployment model scales across revenue workflows.

Start with one automation opportunity, then use our playbook to capture additional value across the enterprise.

Alpha workflow Ex. Demand Generation Agent Scope, test, improve
GammaFlow deployment model Validated process

Scale to additional workflows

Workflow 01Account ResearchScoping
Workflow 02Sales EnablementScoping
Workflow 03CRM AutomationBuilding

Real results. Faster time to value.

Outcomes from practical GTM AI deployment:

$2.5MABM pipeline boosted through generative AI content workflows and account prioritization.
$3MPipeline accelerated by converting CRM, engagement, closed/won, and intent into GTM plays.
60%Reduction in manual content production and scheduling work with an integrated content Agent.
$900KProjected ARR from AI Engine Optimization strategy and workflow for fintech.

Trusted partner for centralizing GTM workflows

Give Marketing, Sales, and RevOps a clearer path to work with AI.

Marketing

Scale demand generation workflows without scaling busywork.

Prioritize workflows tied to qualified account movement and campaign execution.

Revenue

Turn signals into revenue action across marketing and sales.

Focus agent deployments on accounts and motions that can move revenue.

Sales

Give sellers better context and more consistent execution.

Automate research, meeting prep, follow-up, reporting, and enablement workflows.

RevOps

Build reliable agent workflows on top of your GTM systems.

Define data inputs, routing logic, review controls, and measurable outputs.

Resources

Learn how to build cutting-edge agents yourself.

Fully integrated

Built to work with your GTM systems.

GammaFlow operates across your existing tools, connecting GTM data, workflows, and systems into a single operational layer. We will never force you to migrate off your systems, but can help you through the process if you would like.

Book a Call

GammaFlow agents are live in production

These are real GTM AI agents deployed inside enterprise systems, executing work that previously required manual coordination across marketing, sales, and RevOps teams.

Make AI Agents Easily

Start with one GTM workflow before scaling across the revenue team.

Scoping Discovery Call

We identify the workflow, automate the first project, and define the next expansion path.

Book Call

Frequently Asked Questions.

How enterprise teams get AI agent deployment right.

What happens during the discovery call?

The discovery call is a working session where we review how GTM workflows currently run inside your organization. From there, we identify where an AI agent could realistically execute work, what systems it would need to touch, and what a deployment timeline would look like.

How much involvement is required from our internal org?

Input can vary from a single informational interview, to more in-depth context on systems, workflows, and scoping. GammaFlow handles the design, scoping, and deployment while coordinating with the appropriate technical, marketing, sales, or RevOps stakeholders.

How long does it take to deploy an AI agent?

Most deployments move from discovery to a production agent in 6-12 weeks, depending on workflow complexity, data quality, and the systems involved.

How do you ensure security and governance?

We design agents with governance, permissioning, and auditability in mind from the start. Agents operate within existing system permissions and enterprise security policies, with access controlled through approved integrations and actions logged for monitoring and audit. We can help define the right governance process or work within your existing GRC framework.

What kinds of tasks can AI agents actually perform?

Agents can monitor GTM systems, analyze incoming data, trigger actions, route approvals, generate reports, enrich account research, draft campaign assets, and coordinate work across tools that previously required manual oversight.

Can agents be fully customized for our workflows?

Yes. Every deployment is designed around the specific workflows, systems, data inputs, approval paths, and operating rules inside your organization.

Can agents work with our existing enterprise tools?

Yes. Agents integrate with the systems already running your GTM motion, including CRMs, marketing automation, data platforms, analytics tools, internal databases, and collaboration systems.

How is pricing calculated?

Pricing is structured around workflow complexity, system context, and deployment scope. Scope is typically aligned during or after the discovery call, once we understand the workflow effort and automation opportunity.

Ready to Get started?

Find the workflow your GTM team should stop doing manually.

Book a working session to identify the first AI agent for us to automate.