Feature
Build and Apply Client-Specific Frameworks Within Each Workspace
Some Frameworks belong to specific clients, built from their data, goals, and context. Client Intelligence lets you create and apply client-specific Frameworks within isolated Workspaces.
No long-term contracts. Your IP stays yours.
Not all Frameworks are universal. Your Account Brain holds your methodology: the Frameworks that apply across clients. But in any deep engagement, you also build client-specific Frameworks. A retention model built from this client's cohort data. A prioritization matrix calibrated to this client's strategic constraints. A competitive positioning Framework developed from this client's specific market situation.
Client-specific Frameworks are typically the most valuable deliverables you produce in a long engagement. They represent the synthesis of your methodology applied to the client's unique context over months of work. They are also the most fragile: when they live in a slide deck on a shared drive, they become archived rather than active. The next time you need them, you have to find them, interpret them, and figure out how to apply them to the current situation.
Client Intelligence's Frameworks library within each Workspace changes this. When you build a Framework for a specific client, you encode it directly in their Workspace. It becomes a permanent, AI-applicable tool for that engagement, not a deliverable that goes into a folder after the presentation. Intelligence can apply the client's own Framework to new situations as they arise: "Based on the retention model we built together, here is how I would evaluate this new product decision."
This creates a new form of client value: Frameworks that keep working after you have built them. Clients who have worked with you for years have accumulated a library of Frameworks in their Workspace that continues to inform decisions without requiring you to rebuild from scratch each time. The longer the engagement, the more valuable the accumulated client-specific IP becomes.
What This Means in Practice
In-workspace Framework creation
Build Frameworks directly in the client Workspace from their specific data and context. No external tool required.
Active rather than archived
Client Frameworks remain active and AI-applicable. Intelligence can apply them to new situations, not just reference them.
Framework library per client
Long engagements accumulate libraries of client-specific Frameworks. Each becomes a persistent, applicable tool.
Built on client data
Client Frameworks are derived from that client's data, history, and context, not generic templates adapted to their situation.
Cross-engagement learning prevention
Client-specific Frameworks stay in their Workspace. Learning from one client's engagement does not leak to competitors or other clients.
Real Results
The Retention Model That Kept Working
Maria built a sophisticated retention model for a client in their first year together. After the initial work, the model sat in a slide deck and was rarely referenced.
Outcome
After encoding the model into the client Workspace, Intelligence applies it to every retention-adjacent question that comes up in the engagement. Three years later, the model is more valuable than when she built it.
The Prioritization Framework Problem
Dan built a strategic prioritization matrix for a client in Q1. By Q3, when they needed to prioritize again, nobody could find the original or remember the criteria they had established.
Outcome
With the prioritization Framework in the client Workspace, Q3 prioritization sessions start from the established criteria rather than rebuilding. Decision-making is faster and consistent with prior commitments.
The Competitive Positioning System
After six months of deep competitive work, Grace had built a detailed competitive positioning Framework for a client. It was their most valuable strategic asset, but only when she was in the room to apply it.
Outcome
Encoded in their client Workspace, Intelligence applies the positioning Framework to new competitive questions without Grace needing to be present. The client's internal team benefits from the Framework daily.
Frequently Asked Questions
How is a client-specific Framework different from a client-specific document?
A document is passive storage. A client-specific Framework in the Workspace is active context. Intelligence applies it to new situations, generates Framework-aligned recommendations, and maintains it as a living strategic tool.
Can clients access Frameworks built for them in their Workspace?
Currently, Workspaces are internal tools. You can export Framework documentation for client use.
What happens to client-specific Frameworks when an engagement ends?
They remain in the Workspace archive. If the client reactivates or references work from a prior engagement, the Frameworks are immediately accessible. Nothing is lost when an engagement pauses.
Can I use a client-specific Framework as a starting point for similar clients?
With explicit review and customization, you can draw inspiration. What you should not do is import Client A's Framework directly into Client B's Workspace. Use the Account Brain for Frameworks intended for reuse across clients.
See It In Action
Experience per-client AI memory, framework encoding, and isolated workspaces in your own practice. No long-term contracts.
Your IP stays yours