Never hear "I don't have bandwidth" again
Let's take you from dazed and confused individual ChatGPTs to one primed AI environment — in 12 weeks.
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The Paradigm Shift
Your team is busy every person is doing their best. And every person is doing it alone — their own ChatGPT tab, writing style, memory, learnings. They don’t compound. They don’t make each other sharper.
That’s the trap.
The fix isn’t more people. It’s one AI environment. One shared brain with your business, your voice, your customers, your performance data — that every agent and every person draws from. Agents wired into the work that drives pipeline, not random tasks.
Then 1 + 1 starts being 3.
How We Get You There
Weeks 1–2
Diagnose
Week 3
Set up the environment
Weeks 3–11
Build the brain and the agents
Week 12
Roadmap and role evolution handoff
Diagnose
We map your operation across four pillars — Demand Gen, Website, Marketing Ops, Infrastructure — and score every function on time consumed and pipeline impact. The output is the 3–5 functions where AI moves the needle most. That’s where we build. Most AI consultants skip this step and build agents on guesswork.
Set up the environment
One corporate AI environment for your team — centralized, governed, and ready for the brain and the agents to live inside. We choose the foundation (Claude, OpenAI, Gemini, or Copilot) based on your existing stack
Build the brain and the agents
The memory layer comes first — your positioning, voice, customer intelligence, campaign history, performance data. Without it, AI is autocomplete. With it, AI sounds like you. From weeks 3–8 we build 3–5 production-ready agents for the target functions, running on that shared brain from day one, and train your team on each as it goes live. From weeks 9–11 we validate and iterate — your team uses the agents in real work, we sharpen them based on what’s landing and what isn’t. By the end, the agents are tuned to how your team actually operates.
Roadmap and role evolution handoff
Agents change what your team does. Roles have to change too. We deliver a current-state role map, a future-state role map, and a transition plan for every person — strategists, managers, producers — so each one knows how their job evolves around the agents we just built. Alongside the role evolution: the next wave of agents to build, and the measurement upgrades that come once your data foundation can support them. You leave with a 12-month plan, not a checklist.
The Agents (and Tools) We Build Most Often
Sometimes these are conversational agents your team chats with inside Claude. Sometimes they’re tools with a UI your team clicks into. We build whichever fits the workflow — and we pick which ones based on your diagnostic, not a pre-built kit.
The Copywriter
Infrastructure
Drafts blog posts, LinkedIn posts, newsletters, sales enablement copy — trained on your brand voice and the client brain so the output sounds like you, not like ChatGPT.
The Campaign Launcher
Demand Gen
You hand it a brief, the channels, the formats. It produces the ad copy, landing page copy, email sequence, and LinkedIn promotion plan — aligned to ICP, ready to ship.
The Email Nurturer
Marketing Ops
Drafts sequences, handles segmentation logic, writes follow-ups, lives inside HubSpot or Salesforce.
The ABM Researcher
Demand Gen
Builds dossiers on target accounts using Clay and your CRM, drafts personalized outreach, flags trigger events. Makes ABM executable for a small team.
The Lead Qualifier
Marketing Ops
Enriches inbound leads, scores them against ICP, drafts the first-touch follow-up, routes to the right SDR or AE. Closes the biggest pipeline leak in mid-market: slow, generic, mis-routed inbound.
We also build others on demand — competitive intelligence briefers, ICP refresh agents, reporting assistants — when the diagnostic surfaces the need.
Our Stack
We’re vendor-agnostic. The stack serves the engagement, not the other way around. Here’s what we typically use
Foundation Models
We choose based on your existing environment and the work each agent needs to do.
Claude Primary
OpenAI
Gemini
Copilot
B2B Data & Enrichment
Prospect research, account intelligence, and enrichment.
Clay
CRM & Marketing Automation
Integrated into the agent layer so the work flows where it needs to.
HubSpot
Salesforce
Orchestration
The glue between agents and tools. Zapier for simpler flows, n8n when the workflow gets complex
Zapier
n8n
Simple Pricing, Clear Outcomes
- Investment
Fixed scope, fixed fee.
Add-ons available — extended training, custom agent builds, ongoing AI operations support.
Who This Is For
What that means:
Mid-market B2B services
Built for service-based B2B companies with real marketing operations already in motion.
$20M–$200M revenue
Ideal for companies in the growth stage that need more leverage from their existing team.
Marketing teams of 3–25 people
Designed for small to mid-sized marketing teams that need to move faster and produce more.
Biggest leverage for smaller teams
Smaller teams often see the biggest gains — fewer people means each agent does more.
Not for:
Enterprise transformation
This is not a broad, company-wide AI change management program.
Enterprise transformation
This is not a broad, company-wide AI change management program.
Enterprise transformation
This is not a broad, company-wide AI change management program.
Enterprise transformation
This is not a broad, company-wide AI change management program.
Enterprise transformation
This is not a broad, company-wide AI change management program.
Why Condor?
Enterprise teams escape the trap with governance committees and half-million-dollar budgets. Startups escape it by being too small to need to. Mid-market teams sit in the middle — too big to operate without infrastructure, too small to afford the enterprise version of it.
AI consultants are everywhere. AI consultants who’ve spent ten years running B2B services marketing operations are not. We don’t build agents the way a generalist thinks marketing should work. We build them the way your team actually works.