1. Scope Workflow
Identify the highest-leverage GTM workflow, required systems, review points, and success metric.
45+ GTM agents delivered across B2B SaaS, AI, and enterprise teams
Deploy AI Agents that scale output without scaling headcount.
How will you use GammaFlow?
Partnering With Industry Leaders
#1 GTM AI workflow partner
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.
Identify the highest-leverage GTM workflow, required systems, review points, and success metric.
Build the first agent workflow around your real data, tools, prompts, and operating constraints.
Run the workflow against real examples to catch gaps before it touches live revenue work.
Tighten prompts, data inputs, QA checks, and handoffs until the workflow is reliable.
Turn the proven workflow into a repeatable agent operating layer across the GTM team.
Built for every GTM team.
Start with one automation opportunity, then use our playbook to capture additional value across the enterprise.
Scale to additional workflows
Real results. Faster time to value.
Trusted partner for centralizing GTM workflows
Prioritize workflows tied to qualified account movement and campaign execution.
Focus agent deployments on accounts and motions that can move revenue.
Automate research, meeting prep, follow-up, reporting, and enablement workflows.
Define data inputs, routing logic, review controls, and measurable outputs.
Resources
Fully integrated
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 CallThese 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
We identify the workflow, automate the first project, and define the next expansion path.
Book CallHow enterprise teams get AI agent deployment right.
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.
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.
Most deployments move from discovery to a production agent in 6-12 weeks, depending on workflow complexity, data quality, and the systems involved.
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.
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.
Yes. Every deployment is designed around the specific workflows, systems, data inputs, approval paths, and operating rules inside your organization.
Yes. Agents integrate with the systems already running your GTM motion, including CRMs, marketing automation, data platforms, analytics tools, internal databases, and collaboration systems.
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?
Book a working session to identify the first AI agent for us to automate.