A sample insurance operations workbench shows dashboards, workflow, board views, assignment, follow-up, reporting, and related-record workspaces as generated application depth proof.
Governed Enterprise Application Platform
Enterprise applications from governed specifications
The AI suggests. The human commits. The contract governs. The pipeline certifies. The framework executes.
Keewo turns business requirements into full-stack enterprise applications through a deterministic pipeline where every feature is traceable from requirement to running code — and every step has a human accountable for the outcome.
- AI assists in one bounded step — humans review, approve, and own the result
- Every generated feature traces to governed source material via hash-verifiable provenance
- Quality evidence covers validation, tests, business rules, workflows, and release readiness
- 16 application patterns: CRUD, workflow, kanban, calendar, dashboard, report, and more
What Keewo Is
Keewo is a governed enterprise application platform that turns business specifications into full-stack applications through a deterministic pipeline with human accountability at every gate.
AI assists in one bounded step — drafting structured source material from requirements. A human reviews, adjusts, and commits. From that point, Managed Authoring becomes the governed source of truth: registries describe entities, views, workflows, rules, patterns, security, and integrations before the platform materializes inspectable output.
- Managed Authoring for governed change
- Human-governed AI assistance
- Deterministic compilation pipeline
- Inspectable modules and artifacts
- Standard framework output (Vue 3 + Express)
- Hash-verified provenance (LBOM)
Platform Capabilities
What Keewo does today
These capabilities are built, tested, and running in the current platform, using sample internal operations applications with synthetic data.
A smaller sample policy service desk is sized for live governed evolution: requirements, bug reports, or change requests update the managed model before output is materialized and checked.
Current changes can be reviewed, packaged for approval, promoted by an accountable human, and handed off to source control with provenance and quality evidence attached.
The Problem
The enterprise software delivery crisis
Traditional delivery is slow, black-box platforms create lock-in, and chaotic AI coding produces systems that are difficult to own, audit, and scale.
Black-box platforms
Hidden runtimes and opaque extensions trade speed for lock-in, leaving enterprise teams dependent on a platform they cannot fully inspect.
Chaotic AI coding
Code generation without architectural controls leads to fragmented systems, security risk, and weak delivery accountability.
Slow enterprise delivery
Manual coordination struggles to keep pace with business demand while preserving governance, quality, and long-term ownership.
Keewo combines AI assistance with deterministic delivery, transparent artifacts, and enterprise governance.
The result is a governed delivery model that reduces technology risk without giving up AI-assisted speed.
The Ecosystem
Keewo is an enterprise ecosystem, not just a runtime
It combines framework, authoring pipeline, tooling, validation, and governance into one structured delivery approach.
Keewo Framework
Model-driven full-stack runtime for declarative modules covering frontend, backend, security, validation, metadata, and build tooling.
- XML-based application modeling
- Inspectable module composition
- Enterprise validation and security controls
Keewo Lab
Visual editing, diagnostics, preview, and AI-assisted draft flows for teams that need insight before release, not after it.
- Diagnostics and preview
- Regeneration with human review
- Developer and architect visibility
Managed Authoring
Governed source-of-truth layer for requirements, bug reports, change requests, registry updates, materialization, quality checks, approval, and promotion.
- Requirements and change requests
- Managed registries and materialization
- Quality evidence and human promotion
Why Keewo
Human-governed, glass-box, ownable delivery
Keewo is designed for teams that want AI assistance without giving up transparency, accountability, and architectural control.
Human-governed AI
AI participates in delivery, but humans remain accountable for review, validation, acceptance, and release.
Glass-box software
Contracts, modules, composition rules, and generated artifacts stay visible, inspectable, and versioned.
Own your software
Deterministic generation and explicit composition keep the resulting codebase ownable instead of trapped behind a platform boundary.
Built for governance
Quality gates, validation, metadata, security controls, and managed release paths make governance part of delivery, not an afterthought.
How It Works
From structured intent to governed release
Keewo uses a deterministic delivery flow so AI-assisted work stays inspectable, testable, and accountable.
01
Feature requirements
Start with business intent, feature slice requirements, or structured specifications.
02
AI draft plan and contract
AI assists in drafting a plan and contract for the feature, giving teams a structured starting point rather than freeform code generation.
03
Managed registry
Teams govern a structured model of entities, views, workflows, rules, security, integrations, and patterns as the source of truth.
04
Generated XML modules
Keewo generates inspectable modules for data, logic, user interface, security, tests, and composition.
05
Validate, test, and build
Quality evidence covers validation, tests, business rules, workflow checks, migration safety, authoring gates, and release readiness.
06
Governed release
Humans approve the final release into a deterministic runtime path with traceable output.
Managed and Unmanaged
Scalable generation with escape hatches
Keewo supports generated and manual paths so teams can scale with control and still handle brownfield or direct-edit scenarios.
Managed modules
Best for scale, governance, and repeatable enterprise delivery.
- Contract-first approach
- Generated and protected artifacts
- Ownership rules for controlled regeneration
- Validation and release gates built in
Unmanaged modules
Useful for brownfield integration and direct manual control.
- XML-first approach
- Manual control over artifacts
- Direct edits where needed
- Flexible escape hatch without abandoning the framework
Solutions
Built for enterprise leaders and delivery partners
Reduce technology risk at the executive level, gain architectural control at the CTO level, and standardize delivery across partner engagements.
For CEOs
Reduce technology risk in the AI era.
- Reduce vendor lock-in risk
- Improve strategic control of core systems
- Adopt AI assistance without losing governance
For CTOs
Structured, inspectable enterprise architecture.
- Deterministic architecture and release paths
- Inspectable modules and explicit composition
- Security, validation, and technical governance
For partners
A governed delivery platform for enterprise transformation.
- Standardize delivery across projects
- Support greenfield and brownfield execution
- Increase traceability and repeatability
Core Differentiators
Concrete controls, not abstract promises
Every differentiator maps to a specific mechanism in the pipeline.
AI drafts pass 10+ guardrail checks including entity coverage validation, identifier normalization, and locale preservation before acceptance.
Every module is Data, Security, Language, Logic, Tests, and UI — all XML, all version-controlled, all human-readable.
The same spec always produces identical output, enforced by corpus gate CI that fails on any diff.
Generated code runs on Vue 3 and Express — standard TypeScript, standard frameworks, no proprietary runtime lock-in.
Validation, business-rule checks, workflow checks, migration safety, authoring gates, and release readiness keep generated output tied to controlled change.
CRUD, workflows, kanban boards, calendars, dashboards, reports, widgets, API integration, and shell navigation — each with cataloged rules, with certified demo bundles for core and extended scenarios.
Governance in Practice
What the governance layer enforces
Each control maps to a specific check in the pipeline — enforced at generation, validation, readiness, or release-gate time.
AI-assisted drafts must preserve required model coverage, identifier quality, and localization intent before the pipeline accepts them for review.
Generated output includes provenance that connects it to governed source material and approval state. Regeneration stays repeatable from the same governed model.
Quality checks summarize linting, validation, tests, business rules, workflow tests, migration safety, and authoring gates so reviewers can see whether a change is ready.
A prepared change can be reviewed, approved, promoted, and handed off to source control only through an accountable human decision.
The authoring index computes per-file status (in-sync, drifted, outdated, invalid) by comparing content hashes against manifests. Manual edits to managed modules are surfaced immediately.
Each of the 16 application patterns defines required paths, types, and structural constraints. Specs that violate pattern rules are rejected before generation begins.
Resources
Documentation, AI overview, and technical content
Keewo provides human-readable documentation, an AI-readable summary for copilots and agents, and structured metadata for search engines.
AI overview
Plain-language explanation of Keewo for AI systems, copilots, and autonomous agents.
llms.txt
Canonical text summary with positioning, definitions, routes, and implementation-oriented terminology.
Blog
Articles on governed AI-assisted delivery, enterprise application architecture, and practical implementation.
FAQ
Common questions from enterprise buyers and technical evaluators
What is Keewo?
Keewo is a declarative development platform that compiles XML modules into full-stack applications: Vue 3 frontend + Express backend, both TypeScript. It governs the entire delivery pipeline from business intent through Managed Authoring, module generation, quality evidence, approval, and promotion.
What does glass-box development mean in Keewo?
Glass-box development means the system remains inspectable across managed specifications, modules, generated artifacts, metadata, and release controls. Every generated module is 6 human-readable XML files, each with a hash-verified manifest tracing it back to its source contract.
How does Keewo govern AI assistance?
AI participates in one bounded step: drafting structured source material from requirements. The draft is validated against a governed model — required coverage, identifiers, and localization intent must be preserved. After review, the path to materialization, quality evidence, approval, and promotion stays governed.
What is a Logic Bill of Materials (LBOM)?
Generated output carries provenance that connects it to governed source material and approval state. This creates a traceable chain from business intent to running code.
Is Keewo an AI coding agent?
No. Keewo is a deterministic compilation platform. AI assists in one bounded step: drafting structured source material from requirements. Managed Authoring, quality evidence, human approval, and promotion govern the result. The output is standard Vue 3 + Express TypeScript.
Is Keewo only for new projects?
No. Managed modules support scalable greenfield delivery, while unmanaged modules provide a direct-edit escape hatch for brownfield and integration-heavy work.
Get Started
Start a pilot conversation
Pick one real business slice, one accountable sponsor, and one governed evidence trail. We will show you how Keewo delivers it.