How to Create a Project Intake Process

In this video, I'm going to show you exactly how to create a modern project intake process in an enterprise. The intake process was built to filter out unprepared ideas, but many times the filter is so heavy it kills some of the most important ones, or too light that it won't stand up when power and organizational dynamics come into play. I've helped a ton of enterprise planning teams rebuild this from scratch, and the fix isn't removing the filter. It's replacing the document-heavy setup with a process that captures what actually matters for a prioritization decision, but in a modern AI way. That's what I'm going to be showing you today. So let's get right into it. So the intake process was built as a well-intended defense mechanism. This is because every failed project costs the organization something— waste of budget, lost time, credibility with the people who signed off on it. The gates are also there to protect limited teams and resources from other people stealing their valuable time on ideas that don't align to priority or strategy. Sometimes they're just there to help teams say no in a polite way. So the natural response is to build these gates like PRD requirements, intake forms, backlog queues, approval layers, all designed to control what gets through. But the filter ends up creating the problem it was trying to prevent in the first place. When intake demands high levels of documentation before any context exists, ideas show up without business cases, with no urgency signals, without stakeholder alignment, which means the reviewers can't make a good prioritization decision. So often the decision defaults to organizational politics or whoever has the strongest sponsor. The most complex promising ideas require the most alignment work to survive this process. And because that work's painful or sometimes impossible to do alone, these ideas get dropped or put on the back burner. And the few ideas that make it through often aren't planned well. Everyone's trying to avoid the friction, so steps get skipped, alignment gets rushed at every stage, which means the plan that enters execution already has holes in it and the pain doesn't go away. It just shows up later in execution where it's far more expensive to fix. So if the intake process is failing because it's capturing the wrong things, the fix starts with getting clear on what it actually needs. Most intake forms track the submission, who's asking for the project, what they want, and when they need it. But none of that tells you whether the idea is worth pursuing, how urgent it is, or what it would take to get it done. The first thing it needs is a business impact statement. Specifically, what outcome does this project drive? What does the organization lose if it waits 6 months to start? Without that, every idea looks equally important and the decision comes down to whoever argues hardest for it, usually in the room. Second is the urgency signal, meaning what makes this project worth starting on right now? This is what separates a strong idea from a timely one, which without it, ideas with real windows of opportunity end up sitting in backlog next to things that can wait 18 months. Third is a stakeholder map and alignment from day one. 88% of projects fail because the wrong people or not enough of the right people were involved early on. Discovering, you know, 6 months into a project that a VP or compliance team should have been in the room but wasn't is one of the most expensive planning failures there is. That's why mapping stakeholders at intake means alignment work had to start way before the project does and before competing priorities take over. And fourth is early risk identification. Undefined constraints and unknown dependencies don't disappear because they weren't captured at intake. They surface in execution where they're harder and more expensive to address. And identifying them early means they factor into prioritization decision before anyone commits resources to a project that's already has problems from the get-go. So once you're clear on what intake needs to capture, the next question is how to run that process without it becoming another months-long bottleneck on its own. And that starts with open idea capture. The submission process in most organizations demands so much documentation upfront, which is why ideas tend to die before they're ever evaluated. So instead, anyone should be able to easily submit a rough idea without having to try to fill out a complex form designed for a project that's already fully scoped or understood. So To do that, the easiest way is to use a, a tool like Force Equals, which is the AI platform I built that completely handles enterprise planning. From there, AI agents handle everything that the intake process currently makes humans do manually. So within 30 seconds of submission, Force Equals agents add context. They frame the business problem, identify relevant stakeholders, surface risks, and constraints, structure the opportunity. They build out a detailed business case and ROI model. They look at architecture constraints. They look at emerging technology that maybe no one is even aware of that could help. They source best practices to ensure goals, solutions, functional, technical, and operational requirements are well thought through. They build visualizations and prototypes. The AI agents automatically do all the hard stuff. And because each and every idea comes in with deep context and initial alignment signals, every idea for any potential project starts from a strong foundation of knowledge and understanding, way more complete than you can get through a manual gatekeeping template. What used to take weeks of prep work to assemble starts in literally under a minute for each and every idea. With Force Equals, you can radically modernize intake. But that's just the first part. The next thing is to attack how to modernize prioritization. You want and need clear prioritization signals grounded in your actual business context. Force Equals agents connect each idea to the organization's real-time dynamic current goals, OKRs, performance metrics, constraints, market signals, competitive signals. And they use these to generate clear go, no-go, or continue to refine the project signals for each submission that comes into the system. Which means the prioritization conversation stops being about whose idea it is and starts being about whether it actually earns a place in the roadmap based upon the needs the goals, and the strategy of the business. You get a dynamic portfolio view and clear alignment on where to place investments. And when an idea gets approved, the platform doesn't stop there. Uh, with momentum from clear go signals, the AI agents, they keep building out the context to close gaps, augmented it with incremental collaboration, stakeholder alignment, mitigate risks, maintain the business case, maintain the stakeholder map, update and generate a more refined ROI model. As more information is coming in, maintain all presentation assets, reports, managing approval flows and sign-offs all continuously. As new information comes in, the plan becomes more mature and the AI agents handle all the hard, dirty, repetitive work. When the project's ready and approved to move to execution, everything transfers with it. One click into your development workflow, your procurement workflow, or into your project management workflow. Nothing needs to be re-entered, rebuilt. You get full traceability and accountability back to every decision made in the planning process. So if you want your planning process to work exactly like this, you can try FourSequels for free by clicking on the first link below this video. You'll no longer have to deal with ideas dying in the process because intake is too painful to navigate, or deal with prioritization decisions that default to politics instead of business impact, or starting a project that already has problems nobody caught. So again, you can try completely free by clicking the top link in the description. And if you want to learn how I replaced my project planning with AI, then watch this next video.