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01Method · DDC Framework

AI that understands your business before it acts.

Your strategy, customer needs, technical standards and day-to-day work need to guide the same delivery. Context engineering organizes this knowledge so people and AI can make decisions against shared criteria.

AI cannot read minds. It needs to know what matters, which boundaries to respect and who validates the work.

Explore the layers
Direction, experience, construction and execution connected by shared context.

02The context layers

From business goals to the work that sustains them.

DDC (Domain-Driven Context) organizes company knowledge into four domains. Each answers a question and records decisions that the other domains need to consult.

01 · Why?

Business

Sets direction and decision boundaries: who the company serves, how it earns revenue and what success means.

What we organize
Strategy, value proposition, revenue model, goals, indicators and business constraints.
How it helps the business
Provides shared criteria for prioritizing investment and evaluating whether a delivery solves a relevant problem.

02 · What?

Product

Translates direction into something useful to customers: their need, the expected experience and the requirements a delivery must meet.

What we organize
Customer profiles, journeys, business rules, requirements, language and acceptance criteria.
How it helps the business
Helps avoid features disconnected from real needs and enables approval against what a delivery must do.

03 · How to build?

Engineering

Defines how to turn the proposal into a reliable system, with data and integrations that respect company boundaries.

What we organize
Architecture, data, integration contracts, security, implementation standards and tests.
How it helps the business
Makes it possible to check quality, protect information and evolve the system with explicit implementation criteria.

04 · How to execute?

Operations and processes

Organizes work across teams: who acts, who approves, when work changes hands and what happens when something goes wrong.

What we organize
Team workflows, owners, approvals, handoffs, deadlines, routines and exception handling.
How it helps the business
Makes responsibilities and the conditions for putting a delivery into daily use explicit.

Operations is a separate framework layer. It connects sales, marketing, support, product and technology, covering engineering workflows and those of other teams.

03An application example

The same request, with the missing decisions made explicit.

Imagine a company that wants AI to draft sales proposals. The request sounds simple, but delivery depends on agreements across teams.

The request

I want AI to draft a proposal from the conversation with the customer.

  1. 01 · Business

    Preserve commercial logic

    The proposal consults positioning, eligible services, pricing policy and negotiation limits.

  2. 02 · Product

    Address the right need

    The customer profile, identified problem and scope criteria define what the proposal should offer.

  3. 03 · Engineering

    Use reliable information

    The system accesses authorized sources, respects permissions and checks the data needed to prepare the document.

  4. 04 · Operations and processes

    Reach the responsible person

    The workflow defines who reviews price and scope, when the proposal can be sent and how to record the decision in the CRM.

The value of connecting the layers

The salesperson receives a draft they can review against known criteria. Approval has an owner, information has a source and the next step is defined. The benefit can be tracked through preparation time, rework and errors found during review.

Illustrative application example. Outcomes depend on your sources, process and business validation.

04How we work

We start with a process worth improving.

We choose a real request, identify the knowledge it needs and test its use in the team's work. The structure grows with what the operation learns.

Shared knowledge, explicit criteria and defined handoffs.
  1. 01

    Understand the decision and problem

    We map the workflow, people, available sources and cost of failure. We define what to track before changing the routine.

  2. 02

    Record the necessary context

    We organize the four domains, connect documents and define owners for updates. Disagreements become explicit decisions.

  3. 03

    Apply it to real work

    People and AI consult context relevant to the task. We test a bounded application with permissions and review criteria.

  4. 04

    Validate and learn from use

    The team compares the delivery against agreed criteria. Errors and exceptions inform revisions to the context, workflow and solution.

05What stays with the team

Knowledge people can use, review and maintain.

The structure needs to support actual work. Depending on the agreed scope, the team receives the documents, criteria and workflow for the chosen application.

  • An organized context base

    Knowledge organized by domain, with sources, document references and maintenance owners.

  • Recorded decision criteria

    Documented priorities, constraints and choices so a new person or task can consult the same understanding.

  • A defined workflow

    Responsibilities, approvals, cross-team handoffs and paths for handling exceptions.

  • A way to check delivery

    Acceptance criteria and process indicators to track quality, rework and execution time.

Context needs reliable sources, maintenance and human validation. It guides execution; people in the company retain responsibility for decisions.