See the real problem
Use market, customer, channel and operating perspectives to identify the work worth doing.
EXPERTISE. ENGINEERED.
Turn expertise
into capability.
Turn market insight, frontline know-how and professional methods into useful business outputs, and Skills and Agents your team can keep using.
Business judgment × Professional Skills × Role Agents × FDE
FIELDNOTES / 001BUSINESS CAPABILITY
MORE THAN AN ANSWERA useful result.
A reusable method.
A reusable method.
01 / OUR VALUE
Better decisions today.
Repeatable work tomorrow.
Deliver something useful
Go beyond a conversation. Produce reports and work outputs the business can review, use and act on.
Keep the capability
Capture methods, decision criteria and effective corrections in enterprise Skills and Agents.
02 / WHAT GOOD LOOKS LIKE
A good answer
has a next step.
Is a market worth entering? Bring the recommendation, different perspectives, evidence and unknowns into one decision brief, not just a long overview.
Know why. And know what you do not yet know.
Explore this playDELIVERABLE SAMPLESynthetic · Not client data
BRIEF / 01
A product’s market-entry decision
RECOMMENDATION: PILOT↗
Test one channel before committing.
Demand remains a hypothesis. Service coverage and channel costs are unconfirmed. Start with customer conversations and concrete partner terms.
Worth testing
A plausible problem–product fit
Still unknown
Willingness to pay and service cost
Next action
Validate one customer segment
Structured judgment → Business output → Reusable capabilityFDE ↗
03 / A MODULAR SERVICE MODEL
Not every engagement
should start from zero.
Productize shared capabilities. Package methods as Skills. Give recurring work to Agents. FDE brings these pieces into real tasks, then feeds useful learning back into the capability library.
FIELDWORKCAPABILITYREUSE
A proposed service architecture. Availability, adaptation and commercial scope are confirmed per engagement; not every module is an off-the-shelf product.
L01
Products & runtime
Connect existing systems with knowledge, tools and a working environment.
Connectors / Knowledge workspace / Runtime and observabilityL02
Enterprise Skills
Package expertise as methods with clear inputs, judgment and outputs.
Methods / Templates / Sources / Counterexamples / TestsL03
Role Agents
Organize context, methods and tools around a role or recurring task.
Goals / Business context / Skill combinations / Work entry pointsL04
FDE delivery & evolution
Understand the work, adapt methods, engineer the workflow and test value.
Fieldwork / Co-building / Real-task evaluation / Handover04 / ENTERPRISE PLAYBOOK
Start with work you already do.
Markets, growth, operations and knowledge: specific tasks, methods and deliverables, not an abstract AI promise.
01 / PLAY
Market entry & local growth
Test the important assumptions before you commit.
A conclusion-led market brief02 / PLAY
Prospect intelligence
Give sales a reason to know who comes first.
A sortable priority shortlist04 / PLAY
Content production
Turn product knowledge into a family of marketing assets.
Core message and visual direction06 / PLAY
Business analysis
Less time reconciling tables. More time making decisions.
Definition cards and data mappings05 / HOW WE WORK TOGETHER
One starting point.
Room to grow.
Frame the opportunity
Choose the work worth improving.
Problem framing / Current examples / Pilot scope and evaluationBuild the first use case
Produce something the team can actually use.
Enterprise Skills / Tool adaptation / Role workflows / Comparative testsExpand the capability
Take a working method into the next task.
Versions and ownership / Fresh-task testing / Reuse and iterationScope, pace and tool dependencies are agreed around the specific use case.See the six-step process
TAKE THE CONVERSATION FURTHER
Bring the conversation to your team.
Two separate reference guides: how delivery works, and where to create value. Explore the website for the additional market-entry play.
A FEW GOOD QUESTIONS
Before we start, let’s be clear.
START WITH ONE REAL PROBLEM
Bring a real problem.
Make the first step concrete.
You do not need a complete AI strategy. Start with a recurring problem, one existing example and someone who will actually use the result.
Download the pilot briefNeed a starting point? Explore the playsEditable Markdown · Complete locally · No data upload