Until today, Mary managed pipeline. She enriched inbound leads, scored them against your ICP, and routed the right ones to the right reps inside the stacks of companies like Zendesk, Synopsys, and Bonterra. She was very good at it.
Starting today, she builds it.
Two things that are new
The first is capability. From a single campaign brief, Mary now writes the copy in your brand voice, designs and codes the email and ad layouts, selects or creates the imagery, and launches the campaign across email and LinkedIn — then optimizes it based on what's working. A job that previously required a copywriter, a designer, a Marketo specialist, and weeks of coordination now ships in under an hour.
The second is pricing. Mary is now priced against your revenue target — the number your CMO actually carries — not seats, database tiers, or feature packages. When your pipeline target grows, the price grows with it. When the business pulls back and the target comes down, the price comes down too. allGood is the first AI marketing vendor whose price is set by what the customer is accountable for, not by the software.
The broken default
Every CMO is under pressure to adopt AI. The conventional path is to build in-house: hire an AI GTM engineer (a role that barely existed two years ago and costs $200K+), evaluate a dozen point solutions, retrain the team, and stitch it all into the existing stack.
The buildout is slow, expensive, and uncertain. Teams that started twelve months ago are still building. Most will ship their first AI-built campaign sometime in 2027 — assuming the strategy survives the next budget review.
Pipeline on Demand is the alternative: the outcome without the buildout.
"Most companies don't need to build an AI GTM engineering function," said Ahmed Datoo, CEO and Co-Founder of allGood. "They need the outcome one would produce: campaigns shipped, pipeline generated, on-brand, inside their existing stack. That's what Pipeline on Demand is. Our customers are shipping campaigns next week. The companies still hiring engineers will ship them next year."
How Mary builds pipeline
Mary runs a continuous four-stage loop.
Generate. From brief to live campaign in under an hour — copy, design, imagery, and execution across email and LinkedIn. A demand gen leader hands Mary a brief ("create a webinar campaign targeting our ICP in financial services; it needs to generate 300 registrations") and within 60 minutes has a complete, on-brand campaign live across email and social.
Enrich. Every lead is scored against the company's ideal customer profile and enriched with firmographic and engagement data, so volume becomes intelligence.
Engage. Mary nurtures every lead, adjusting messaging, timing, and creative based on what the data says is working — and implementing those changes herself.
Route. Qualified leads are delivered to the right rep instantly, with full context: company fit, engagement history, and a plain-English explanation of why each lead was sent.
From there, Mary owns the loop through to sales handoff.
What Pipeline on Demand is not
It is not an agency. No outside team takes over your marketing. It is not another software license. There are no seats to buy or modules to configure.
Mary is an AI teammate who runs inside the systems a marketing team already owns — Marketo, Salesforce, LinkedIn — and is priced like the team you would otherwise hire: sized to the pipeline number she's responsible for.
Pipeline on Demand is available now.




