We architect the GTM stack and AI workflows behind scalable B2B revenue — from CRM to MAP to the agents that run your pipeline while your team focuses on growth.
The Reality
Fast-growing companies hit the same walls. Founder-led sales doesn't scale. Modern stacks become spaghetti. Manual work eats qualified headcount.
The MAP doesn't sync cleanly to the CRM. Attribution is guesswork. Sales and marketing are reporting different numbers to the same leadership team. Nobody trusts the data.
The pipeline runs on relationships and heroics. There's no repeatable system behind it — no lead scoring, no routing logic, no predictable forecast. You're scaling a person, not a process.
Enrichment, follow-up, report pulls, list building — your best people are doing work that should be automated. Every hour spent on this is an hour not spent on strategy, pipeline, and growth.
What We Do
Each service solves a distinct layer of the revenue problem. Most clients start with GTM Stack Architecture, then layer in the rest.
We assess, redesign, and implement your connected revenue stack — MAP to CRM to analytics — so every tool talks to every other tool and every dollar is attributable.
Email programs, campaign infrastructure, lead lifecycle, and deliverability — built to run reliably and scale without breaking.
Pipeline visibility, lead routing, CRM hygiene, and forecasting — aligned across sales and marketing so leadership gets one version of the truth.
We deploy AI agents that handle the manual work: enrichment, personalization, reporting, and follow-up — running 24/7 without headcount.
Watch the Machine Work
This is what an Opsmarshal agentic workflow does the moment a lead hits your funnel — while your team is in a meeting, or asleep.
Form fill, demo request, or product signup. The agent picks it up in under a second — no queue, no SDR triage.
Firmographics, tech stack, funding, hiring signals, ICP match — pulled from Clay, Apollo, and the open web, written back to the CRM.
Fit and intent scored against your model. Disqualified leads get nurtured, not dumped on sales. Hot leads skip the line.
Round-robin, territory, or named-account logic. The right rep gets the lead with full context — research brief included.
A first-touch email drafted from the research — referencing their stack, their hiring, their actual problem. Queued for rep approval or sent on rules.
Total elapsed time: ~90 seconds. The same workflow done manually takes a rep 30–45 minutes — per lead. We build these on n8n, Make, or custom LLM + CRM integrations, fitted to your stack.
See AI Agent services →How We Work
A focused sprint model. No 6-month discovery phases. No committee-driven delays.
We audit your full GTM stack — data flows, tool integrations, process gaps, and team workflows. You get a written ops assessment with prioritized findings.
We design the target-state architecture — data model, integration map, automation flows, and reporting layer. Every decision is documented and aligned with your team.
We build and implement — clean, documented, tested. Integrations wired up. Workflows running. Agents deployed. Dashboards live. You can see the output before we wrap.
Retainer clients get ongoing ops management, monthly system reviews, and continuous improvement as your stack and team evolve. Most things compound over 90 days.
Before / After
Representative outcomes from the kinds of engagements we run. Different stack, same physics: clean data in, automated motion out.
Agentic routing replaced manual triage. Every inbound lead enriched, scored, and in a rep's queue with a research brief — before the prospect closes the tab.
Rebuilt UTM governance, conversion paths, and the MAP→CRM sync. Marketing finally reports the same pipeline number as finance.
An enrichment agent on Clay + CRM APIs took list building and account research off the SDR team entirely. Headcount redeployed to actual selling.
Pipeline, conversion, and attribution dashboards rebuilt on one data model. The deck that took an analyst three weeks now refreshes itself.
Deliverability rebuilt from the domain up, plus AI personalization drawing on real account research instead of {{first_name}} templates.
A stalled CRM migration unblocked, deduped, and shipped inside one quarter — with lifecycle stages and routing live on day one of cutover.
// Representative engagement outcomes. Specifics vary by stack, data quality, and team. We'll tell you what's realistic on the first call.
Straight Answers
If yours isn't here, ask it on the call — you'll get the same kind of answer.
A senior RevOps hire runs $140–180K plus 3–6 months of ramp — and one person rarely covers MAP administration, CRM architecture, attribution, and AI automation. We bring all four from day one, on a 90-day sprint. Many clients use us to build the machine, then hire one person to run it. We'll even help you write the job description.
That's the best time. Cleaning up mid-flight is dramatically cheaper than re-platforming a year of bad data later. Stalled migrations and messy CRMs are the most common starting state we see — the Diagnose phase exists exactly for this.
It depends on scope, but the shape is always one of three models: a fixed-scope project (the 90-day build), a monthly retainer (ongoing ops management), or a fractional ops-lead arrangement. You'll get a concrete number after the diagnostic call — not a "it depends" dance. No surprise invoices.
Agents run inside your stack with scoped, least-privilege API access — we don't pipe your CRM through third-party black boxes. Every agent has human-approval gates where it matters (like outbound sends), full audit logs, and a kill switch. You own the infrastructure; we build and document it.
We're the layer under them. Demand gen agencies create campaigns; we build the infrastructure those campaigns run on — routing, scoring, attribution, deliverability. Most agencies are happy we exist, because their results finally become measurable.
Everything we build is documented and handed over — architecture docs, runbooks, loom walkthroughs. From there, teams either run it themselves, keep us on a light retainer for monthly reviews, or expand into the next layer (most commonly AI agents after the stack rebuild). No lock-in by design.
Deepest: HubSpot, Salesforce, Marketo, and Pardot on the platform side; Clay, Apollo, Outreach, and Salesloft on the outbound side; n8n, Make, and custom LLM + API builds for automation. 40+ GTM tools total. If your stack has something exotic, we'll tell you on the first call whether we've run it before.
A 30-minute strategy call. You walk us through your stack and your bottleneck; we tell you honestly whether and how we'd fix it — including the cases where you don't need us. If it's a fit, the written diagnostic starts the following week.