Contextro turns workflows into structured context for AI implementation.

A framework for translating messy business workflows into the kind of structured specification that AI systems can actually work with.

Most workflows are not AI-ready. Not because of the tools. Because the workflow itself has never been properly defined. Contextro is the method for fixing that.

See how it works →

Most AI implementation starts in the wrong place.

Organisations begin with tools, models, prompts, or agent ideas. They move fast, experiment broadly, and get limited results. The usual explanation is that the AI is not good enough, or the use case is not quite right.

The actual issue is more fundamental. Workflows inside real organisations are undocumented in the way they actually run. They are spread across people, tools, files, and informal decisions. They depend on rules no one has written down and judgment no one has explained. They have no clear definition of what a good output looks like.

AI systems cannot operate effectively in that kind of ambiguity. They need defined inputs, explicit rules, known constraints, clear outputs. Without that structure, even well-chosen AI will underperform.

The gap is not in the AI. It is in the workflow.

Workflow as it typically exists

sarah usually handles the intake emails

if it's urgent someone pings the channel

docs go in the shared drive somewhere

we check with legal if it looks risky

output depends on who's doing it

turnaround is "a few days usually"

Contextro specification
trigger: inbound email to intake@domain.com
escalation_rule: priority = "urgent" → notify #ops-critical
storage: /intake/YYYY-MM/[case-id]/
compliance_check: risk_score > 0.7 → legal_review = required
output_schema: IntakeReport v2.1
sla: 48h from trigger to output

Contextro is a context-driven workflow specification framework.

It is designed to take workflows as they actually exist — informal, fragmented, tacit — and translate them into structured context that AI systems can work within.

The key concept is context. In Contextro, context does not mean background information. It means the full working structure an AI system needs to operate reliably inside a workflow: its goals, inputs, rules, decision logic, system access, memory requirements, human checkpoints, and success criteria.

A process map shows what happens. A Contextro specification defines what an AI system would need in order to participate in, support, or run that workflow safely and effectively.

That distinction — between process description and context specification — is what makes Contextro different.

“A process map shows what happens. A Contextro specification defines what an AI system needs in order to operate.”

The Thirteen Context Dimensions
01Goal ContextWhat the task is trying to achieve and why it matters in the workflow
02Input ContextWhat information, data, or materials the task requires to begin
03Output ContextWhat the task must produce, in what format, and to what standard
04Rules ContextThe explicit constraints, policies, and business rules that govern the task
05Decision ContextThe judgment calls, criteria, and branching logic within the task
06Temporal ContextTiming, sequencing, deadlines, and dependencies on other tasks
07System ContextThe tools, platforms, and technical systems the task interacts with
08Human ContextThe roles, expertise, and human checkpoints required
09Memory ContextWhat the task needs to remember, reference, or learn from over time
10Error ContextWhat can go wrong, how failures are detected, and how they are handled
11Quality ContextHow success is measured and what constitutes acceptable output
12Governance ContextHow the task is monitored, reviewed, and improved after implementation
13Integration ContextHow the task connects to upstream and downstream workflow elements

The Contextro process operates in five phases.

Each phase builds on the last, moving from raw workflow understanding to a structured, implementation-ready specification.

01Capture

Document how the workflow actually runs today — not how it is supposed to run. Surface the real steps, the workarounds, the tacit rules, and the informal decisions that never appear in official documentation.

02Decompose

Break the workflow into its constituent tasks and map each one against the full context model. This is where the workflow moves from narrative description to structured, dimension-by-dimension analysis.

03Assess

Evaluate each part of the workflow for AI suitability and determine the right intervention type — whether a task should be augmented, transformed, productised, or left fully human-led.

04Specify

Produce the structured context specification for the target-state workflow. This is the primary deliverable: a document that can be used by people to redesign work, by builders to implement systems, and by AI systems as structured operating context.

05Govern

Define how the implemented workflow will be monitored, evaluated, and improved over time. Implementation without governance degrades.

Contextro produces structured, usable artifacts — not reports.

The outputs of Contextro are designed to be used, not filed. Each artifact has a specific audience and purpose.

01Workflow BlueprintA structured map of how the workflow actually runs, including tasks, handoffs, decision points, and system touchpoints.
02Context SpecificationThe primary Contextro artifact — a task-level document defining the full context an AI system needs to operate in the workflow.
03AI Suitability AssessmentA scored evaluation of each workflow task, assessing how suitable it is for AI support or execution.
04Intervention Decision MapA task-by-task classification of which parts of the workflow should be augmented, transformed, productised, or preserved as human-led.
05Target-State Workflow DesignA concrete specification of how the workflow should operate after implementation.
06Governance FrameworkThe monitoring, evaluation, and iteration structures that keep the implemented workflow running well.

These artifacts are designed to be used by humans to redesign work, by builders to implement AI systems, and by AI models themselves as structured operating context.

A framework built on one belief.

AI implementation succeeds when workflows are translated into the right context structure. Not when the right tool is chosen. Not when the right model is deployed. When the workflow itself has been properly understood and specified.

Contextro was developed by Umut Ozturk to make that work more structured, more repeatable, and more defensible. It is a proprietary method — not a software product.

Version 0.1 of the framework is the starting point. It will evolve as the method is applied, tested, and refined.

Contextro is where AI starts working.

Contextro v0.1 — developed by Umut Ozturk