AI sales agents that research, decide, and act.

An automation runs a fixed sequence you defined: same steps, every time. An agent is given a goal and decides the steps itself, then takes actions through its tools. Use automations for repetition that needs no judgment (enrich, score, draft). Use agents for jobs that need a decision (which account to act on, what the next step is, whether to send). Most teams run both, and we build both.

Whichever fits the job. GPT for general reasoning and tool use. Claude (Anthropic) for long-context structured work and careful tool calls. Gemini for multimodal. Smaller or open models (Llama, Mistral) where cost and latency dominate. A single agent often uses more than one: a cheap model to triage, a stronger model to decide. We benchmark on your real data; we do not pick the trendy model.

Three layers. (1) Guardrails are enforced in code, not in the prompt: the agent literally cannot call a tool or take an action outside its written authority. (2) High-stakes actions (sending, updating a deal, booking) pass through an approval gate with the agent's reasoning attached. (3) Every step is traced, so any action can be replayed and explained. We widen autonomy only as the action-accuracy numbers earn it.

Depends on how often it runs and how much it reasons. A typical research-and-draft agent runs $100 to $800/month in model costs at moderate volume; high-volume monitoring agents run more. We cap loops, cache what repeats, and route easy steps to cheaper models, and we track cost per action from day 1 so it never becomes a quiet budget surprise.

Your existing tools. Agents act through your CRM, your inbox, your enrichment, your Slack, with the loop and any custom tools running on Cloudflare Workers. We do not build on a proprietary 'Growleads agent platform' you have to keep paying for. The point of a GTM agent is that your team can own and run it; that only works on tools your team already uses.

Every agent is versioned and has an eval set of past runs. When a model updates, we replay the eval set against the new model and check that decisions and actions still hold. If quality drops, we adjust instructions and examples or stay on the pinned model. If it holds or improves, we promote it. Your team sees no surprise behaviour change.

Yes. The 60-day post-launch period includes operator training: weekly sessions on how to read the agent's trace, how to handle the approval queue, how to widen or tighten its authority, and how to debug a run that went sideways. The goal is that from day 60 your team owns the agents, with us on call for genuinely hard issues.

You do. Every agent's code, instructions, tool config, guardrails, traces, and API keys live in your accounts from day 1. We give a 14-day handover with a recorded walkthrough of every production agent. Nothing is locked behind a Growleads-owned account or platform.

We do not publish a number because every engagement is sized to how many agents you want, how much judgment each job needs, and the model budget to run them. What we will say upfront: an 8 to 12 week fixed-scope build with 60-day post-launch advisory, priced per agent shipped to production, not hourly. The first call gives you a number tailored to your scope.

More than an assistant. An AI sales assistant drafts on request; our GTM agents research, decide, and act inside fixed tools and approval gates, handling account research, reply triage, signal monitoring, and pipeline hygiene so your reps spend their time closing.