Prospect Identification
The system finds accounts and contacts that match your ICP, then prioritizes them using the signals that matter for your market.
Marshal builds and runs managed AI Agents for Sales that research accounts, personalize outreach, follow up, qualify responses, and hand real opportunities to your team inside the stack you already use.
TRUSTED BY AI-FORWARD TEAMS
MORE POWERFUL THAN A CRM
An AI Agent for Sales is a production system that handles repeatable sales work across research, personalization, outreach, follow-up, qualification, and handoff.
Sends more messages.
Knows who to contact, why now, what to say, when to stop, when to ask for approval, and when to get a human into the conversation. Marshal builds the useful version.
The system finds accounts and contacts that match your ICP, then prioritizes them using the signals that matter for your market.
The agent researches the account before it writes, turning public signals, CRM notes, website context, prior conversations, and approved positioning into outreach that sounds like someone did the homework.
The agent drafts, queues, follows up, routes, and updates the system of record across the first pilot workflow.
The workflow includes approval gates, exception queues, human review, routing rules, audit trails, guardrails, and performance reviews from day one.
WHAT OUR SALES AGENTS CAN DO
Encode your sales process, tradecraft, and approved positioning into a series of AI-augmented decisional steps that run on demand — including via your CRM and APIs.
Ensures inbound inquiries receive an immediate, structured first-touch response.
01.2 QUALIFY_ROUTELIVEEvaluates inbound leads and sends them to the right next step.
01.3 BOOK_FOLLOWUPLIVEMoves qualified leads toward scheduled conversations without letting the thread go cold.
02.1 PROSPECT_IDLIVEBuilds targeted prospect lists from fit criteria such as industry, geography, size, title, and buyer signals.
02.2 ACCOUNT_RESEARCHLIVEGathers context on accounts and contacts so outbound becomes sharper and easier to execute.
02.3 OUTBOUND_EXECLIVESupports outreach at scale. AI drafts, logs, and preps. Your team focuses on conversations.
Fully integrates into your systems
No rip-and-replace. The agent executes work across the systems your team already uses — with a clear boundary between what runs automatically and what is customer-facing.
Sales is the one function where a single mistake is both public and expensive. So every Marshal agent ships with governance built in, not bolted on.
Publishing a post? Launching a campaign? Pushing a sitewide change or spending above your threshold? A human approves with one click before it moves. You set the thresholds. The agent respects them every time, no exceptions.
Anything ambiguous gets parked for human review, never guessed at. A claim it cannot source, a competitor comparison, anything legally sensitive: it routes to a person with full context. The agent's most valuable skill is knowing what it does not know.
Every asset, edit, and ad change is logged with its source. When you ask why the agent published that, there is a receipt. Which source backed which claim. Who approved which campaign. What changed at 2am and why.
Trained on your best-performing content and bounded by your brand rules and your no-go list. It writes like your sharpest brand marketer on her best day. Every day. It will not touch off-limit topics, will not invent statistics, and will not drift off-brand by paragraph three.
WHY TEAMS CHOOSE MARSHAL
We don't just build the agent and leave you with a second job. Marshal runs the system in production and keeps it working.
Your CRM, inbox, calendar, and sales tools stay in place. Marshal adds the agentic layer.
Approval gates, exception queues, and human review are part of the architecture.
Marshal builds, tests, and deploys an agent inside your environment, on our dime. You get to observe it executing your work in real time.
Only subscribe after a 14-day free trial. Nothing bills until you have seen Marshal work.
Compare Marshal against the req you were about to open.
| Comparison point | Your next BDR | Marshal sales agent |
|---|---|---|
| Time to productive | 3 to 6 months to ramp | 1 to 2 hours |
| Coverage | A couple of verticals | Whatever you need |
| Output window | 9am - 5pm | Runs perpetually (even during the Super Bowl) |
| Performance Consistency | Above average, for a human | 100% consistent, at machine-scale |
| Governance | Quarterly review | Approval gates, exception queues, audit trails |
| Time & attention | Needs management and guidance | Managed by Marshal |
| Cost | Fully loaded salary | A fraction of what you're about to spend |
No credit card required. Create an account and connect the systems where your work lives. A Marshal agent goes live the same day.
The agent works your real items, not demo data. Nothing goes out without your approval, and every job produces a receipt: input, steps, sources, output.
During your trial, our engineers expand Marshal's skills and capabilities to comfortably carry a full workload. Every new automation unlocks more business value.
The trial runs 14 days. If the agent met your expectations and you'd like to keep Marshal on the job, simply roll into one of our service tiers.
No. It removes repeatable work from the team so humans can spend more time on judgment, relationships, negotiation, and closing.
Yes, but only if that’s inside the approved scope and guardrails. Most teams start with approval required, then expand autonomy after performance is verified.
Marshal builds on the tools you already use. Typical systems include CRM, inbox, calendar, forms, enrichment sources, spreadsheets, documents, and team communication channels.
Minutes, not months. Create an account, start connecting systems, and Marshal goes live.
But speed is not the point; reclaiming your time is.
Once you’re up and running, our AI engineers step in and configure Marshal to successfully handle one of your business’s critical workloads.
The trial is not two weeks of you operating an agent. It is two weeks of watching one work.
It routes the case to an exception queue or a human reviewer. Guessing is not a strategy.
No, but we do need to know what data can be trusted. Part of the build is identifying usable sources, fixing the critical gaps, and preventing bad data from becoming bad outreach.
It can support either. The first pilot should focus on one specific workflow: inbound response, outbound account research, event follow-up, reactivation, or another measurable sales motion.
Just help us understand what “done correctly” means, per task.
Helpful data to share: the tools involved, examples of the work being done today, the rules your team follows, and one internal owner who can make approval decisions, if needed.
Join hundreds of small businesses operating at machine speed with agents on the job.