top of page

Scaling Strategic Thinking

When every proposal starts from scratch, expertise becomes the bottleneck.

Overview

Over time, I noticed a pattern.

Every proposal looked different, but the thinking behind them was often the same. Whether the engagement involved healthcare, finance, retail, or enterprise technology, the
process always started with understanding the business context, identifying the right personas, uncovering workflow challenges, and defining a future-state vision. Yet every new opportunity required rebuilding that context from scratch.

This project began as a way to
make my own consulting workflow more efficient. It evolved into an AI-powered experience strategy assistant designed to guide teams through the same thinking process commonly used during proposal development and transformation engagements.

What was the problem?

Proposal teams spend significant time answering questions before meaningful solutions can be explored.

Questions like:

  • Who is the target persona?

  • What challenges are they facing?

  • How does the current workflow operate?

  • Where are the opportunities for improvement?

  • What should the future-state experience enable?

While the answers change, the framework rarely does.

 

The challenge wasn't creating content. The challenge was repeatedly recreating the thinking behind it.

What was the design opportunity?

  • The opportunity was not to automate proposal writing. It was to create a system that could guide strategic thinking.

  • Instead of starting with a blank page, users are guided through a structured discovery process that captures business context, personas, workflows, and transformation goals.

  • The objective was to help teams move from scattered inputs to structured opportunities with greater speed and consistency.

What did I do?

  • Identified recurring patterns across proposal and transformation engagements that led to repeated effort and knowledge recreation.

  • Defined the strategic workflow used by consultants to move from business context to future-state experience narratives.

  • Designed the conversational framework that guides users through personas, stakeholder ecosystems, workflows, and transformation opportunities.

  • Structured the information architecture for commonly used proposal artifacts such as Current vs Future State, Persona Ecosystems, UX Opportunity Areas, and Art of the Possible narratives.

  • Introduced the 3C framework — Core, Context, and Coordination — to ensure the system could connect reusable knowledge with engagement-specific context.

  • Designed the experience principles that prioritized guided discovery, strategic reasoning, and human-led decision making over simple content generation.

  • Evaluated how AI could augment consulting workflows by reducing repetitive framing activities while preserving strategic rigor.

  • Shaped the vision for an Experience Strategy Accelerator that helps teams move from context to clarity faster.

Experience Vision

The assistant acts as a strategy partner rather than a content generator.

Through guided conversations, it gathers context and automatically structures common proposal artifacts such as:​

  • ​Current vs Future State

  • Persona Ecosystems

  • UX Opportunity Areas

  • Experience Vision Narratives

  • Art of the Possible Concepts

  • AI Transformation Stories

The outcome is not simply a set of slides.

It is a connected transformation narrative built around business needs, user challenges, and future opportunities.

The 3C Framework

The experience was built around three foundational layers.

Core

A reusable foundation of consulting frameworks, proposal structures, and experience strategy knowledge.

Context

An understanding of personas, workflows, business challenges, and transformation goals.

Coordination

A reasoning layer that connects knowledge and context into meaningful narratives and opportunity areas.

Designing for Strategic Workflows

The experience was designed around a simple principle: Strategy before content.

Rather than generating answers immediately, the assistant focuses on understanding the problem first.

The workflow mirrors how consultants naturally think:​​​

  • ​Understand the context

  • ​Surface opportunities

  • ​Identify the users

  • ​Define the future state

  • ​Explore the challenges

This helps teams spend less time framing problems and more time solving them.

What Makes This Interesting

Most organizations have a knowledge problem disguised as a content problem. Proposal teams rarely struggle to write. They struggle to consistently apply the same level of strategic thinking across opportunities. This project explores how the reasoning process used by consultants can be transformed into a guided experience.

Rather than asking users to write better prompts, the assistant helps them understand:

  • ​Who the users are

  • How workflows operate today 

  • ​What challenges they face

  • ​Where opportunities exist

  • ​What a future-state experience could become​

The result is not simply proposal content.

It is a UX Strategy Accelerator that helps teams move from context to clarity faster.

What's Next

  • ​Building multi-agent strategy ecosystems

  • Opportunity recommendation engines

  • ​AI-assisted workshop facilitation

  • ​Industry-specific transformation frameworks

  • ​​Organizational knowledge networks

The long-term vision is to evolve the platform into an Experience Strategy Co-Pilot that helps teams frame opportunities, create transformation narratives, and accelerate strategic thinking across the proposal lifecycle.

© Copyright 2026 Amar Sanjay Adisare | All Rights Reserved.

bottom of page