DEYKON — The governed control plane for AI-powered software delivery

Your intent. Your standards. AI with a complete plan.

Our vision for DEYKON is a governed AI delivery platform that turns business intent into complete, implementation-ready design packs — giving people and AI the architecture, context and standards to build with confidence.

Connected design — technology stacks, service definitions, API and data schemas, approved patterns and code templates.
Built-in governance — security policies, corporate standards and permissions that guide delivery and control change.
Open AI ecosystem — want to use your own choice of AI provider? No problem. Use a mix of cloud and local models, for the tasks you want, when you want.
Agentic workforce — coordinated AI agents working on defined tasks within approved context, with human review and validation.
Your choice of tools — design packs for Claude, GitHub Copilot, Cursor and an extensible delivery ecosystem.
Traceable decisions — provenance and evidence connecting requirements, design choices, approvals and implementation.

Start with an idea. Shape the design. Take it through to delivery — with control and accountability throughout.

Six stages from an idea to proven delivery.

DEYKON carries the same business question through each stage, so nothing gets lost between what someone asks for and what actually ships.

Describe the intentWhat and why

Capture what the business needs and why it matters, in language people can understand.

Design the solutionArchitecture and patterns

Build the architecture, data, interfaces, technology choices and approved patterns into a connected design.

Apply your standardsPolicies and guardrails

Bring in organisational policies, security requirements and engineering rules that the work must follow.

Build the AI contextMachine-consumable brief

Turn the design into precise, structured context and work instructions that AI tools can act on reliably.

Deliver with people and AIEngineers, Copilot, Claude, Cursor

Use developers, AI coding assistants or specialised agents — all working from the same governed plan.

Prove the resultEvidence and traceability

Connect implementation, tests, decisions and evidence back to the original intent, so the outcome is inspectable.

Six stages from idea to delivery: describe the intent, design the solution, apply standards, build the AI context, deliver with people and AI, and prove the result.

What this looks like in practice.

WORKING EXAMPLE: A freight operator asks for shipment tracking. DEYKON works out what that means architecturally, proposes the features behind it, and holds them for a person to review before any of it becomes a governed project artefact.

A customer describes shipment tracking in their own words.
DEYKON helps define the feature and its acceptance criteria.
The team reviews the proposed design and decides what proceeds.
An approved bundle carries that context into implementation.

Two panels side by side. On the left, Customer intent: a freight brief written in business language, describing trackable QR identifiers, event history, chain of custody and the book-to-track workflow. On the right, Resolved scope: the architecture areas DEYKON inferred from it, tagged Frontend/UI, Backend/API, Application Service, Data Access, Database, Unit Testing, Integration Testing and Deployment, with notes explaining shared foundation architecture and data model separation. — Governed feature planning

Describe what your application needs to achieve in everyday business language. DEYKON resolves the architectural scope, proposes features and applies project terminology, while showing the reasoning behind scope decisions. Teams can refine and approve proposals before they become governed project artefacts.

**Value** Connect customer requirements to clearly defined features, with people retaining control over what moves forward.

The Project Stack Manager. Counters show 367 global stack segments in the catalogue, 14 assigned, 14 usable and 0 blocked. Below, a required architecture coverage grid marks all eight areas covered — frontend UI, backend API, application services, data access, database, unit testing, integration and end-to-end testing, and deployment — each naming the approved stack segment covering it. — Project stack manager

Choose a complete technology stack or combine approved stack segments to suit your project. DEYKON checks coverage across the required architecture areas — from frontend and APIs to data, testing and deployment — and highlights incomplete or blocked assignments. Profiles are ranked by coverage, with explicit overrides and evidence for each assignment.

**Value** Make technology choices consistent and traceable, and identify architecture gaps before the delivery workflow proceeds.

These are real screens from DEYKON as it stands today. Much of the platform is still in active development, and the wider journey above is being built out — what you see here is where it starts.

More AI output is not the same as better delivery.

AI can produce plans, code and tests at extraordinary speed. But speed alone creates a harder question: does anyone know what was asked for, which constraints were followed, what changed, what passed — and who approved it?

DEYKON is being built to close that gap. It gives teams a governed path from business intent to delivery-ready outputs, without making one model, coding agent or toolchain the centre of everything.

AI proposes. People govern. DEYKON makes delivery traceable.

DEYKON captures evidence at every stage — test runs, policy checks, approvals and decisions — so the outcome can be inspected rather than merely asserted.

A diagram showing evidence captured across the delivery lifecycle — test runs, policy validation, approvals and decisions — connected back to the original intent.

From an idea to evidence-backed delivery.

Four stages carry the same intent from the business question through to something the next tool or team can pick up safely.

Governed AI delivery moves from draft through review and approval to promotion, with standards, decisions, capability and evidence kept connected.

DescribeIntent

Capture what the business needs in language people can understand, then connect it to features, context, architecture, constraints and acceptance criteria.

ReviewAuthority

Let AI enhance and challenge the proposal while people retain the authority to approve what becomes governed truth.

BuildWithin the plan

Turn approved intent into bounded work for the right AI or engineering tools. Candidates come back with results and evidence — not automatic permission to ship.

BundleReady to hand on

Package the context, policies, instructions, tests and provenance needed to continue work in IDE agents, CI/CD pipelines and delivery environments.

AI proposes. People govern. DEYKON keeps the delivery chain connected.

One control plane between intent and release.

Describe what the business needs. DEYKON turns it into a plan your team can review, keeps the work inside that plan, and records what was approved — so the next tool, team or pipeline can pick it up safely.

Enters

Business intent
Delivery context
Policies & constraints
Existing systems

DEYKON control plane

Governed artefacts — approved truth
Bounded work — scoped to intent
Review & validation — human authority
Evidence & provenance — inspectable

Executes through

AI workers & tools — bounded work out, results back for review

Leaves

Governed bundles
Tested candidates
Approval record
Handoff instructions

Governed path Human approval gate Inputs and evidence

Move faster without losing the thread.

Keep intent attached

Preserve the reason behind the work as it moves from requirements to implementation and release.

Govern AI work

Separate candidate output from approved truth with explicit review, policy and readiness gates.

Use the right worker

Support a provider-capable workforce instead of locking delivery to a single model or coding agent.

Create evidence, not theatre

Capture provenance, tests, decisions and results so progress can be inspected — not merely asserted.

Fit the way teams build

Start from an idea, feature, context model, specification or existing project; move services and components forward at the pace they need.

Produce useful handoffs

Create governed bundles that carry intent, constraints, acceptance criteria and entry instructions into the next tool or delivery stage.

Not another coding agent. The control plane around them.

Coding agents help produce work. DEYKON is designed to help define, govern, coordinate and evidence the work across the delivery lifecycle.

How the roles differ across the delivery lifecycle.
A coding agent	DEYKON
Generates or changes code	Connects intent, policies, work, tests and evidence
Optimises a task or session	Preserves context across delivery stages
Reports completion	Separates completion from approval and readiness
Often centres one provider	Is designed for multiple workers, tools and handoffs
Produces an answer or candidate	Promotes reviewed artefacts into governed truth

Keep the speed of AI. Restore the control needed to deliver.

Why DEYKON is more than a design tool

Three capabilities that set DEYKON apart.

Design and delivery are the surface. These three capabilities are the deeper technology that makes governed AI delivery possible — and each one has its own page.

Extensibility

Extensible by design.

Connect models, tools, infrastructure and enterprise capabilities without giving up governance. New providers, agents and integrations can join the workforce without bypassing the rules around them.

Controlled extensibility

Agentic workforce

Coordinate specialist AI agents.

Specialist AI agents, models, tools and people working together around one governed delivery plan. The right worker for each task, with controlled capabilities and shared context — not one AI doing everything.

Explore the workforce

Persistent memory

Carry knowledge across agents and sessions.

Organisational, project and workstream knowledge persists across agents and sessions — without confusing remembered information with approved truth. Memory helps the AI understand; governance tells it what to trust.

Workforce memory

See how DEYKON works

Help shape the control plane your delivery organisation actually needs.

We are inviting a small group of engineering and delivery leaders to explore DEYKON with real workflows, meaningful constraints and honest feedback.

Early adopters can expect

Direct access to the team building DEYKON
Guided product walkthroughs and focused pilot discovery
Influence over workflow, governance and integration priorities
Early visibility of new capabilities
A practical evaluation against a suitable delivery scenario

We are especially interested in teams that

Are already using or evaluating AI-assisted software delivery
Need stronger traceability, approval or governance around AI work
Operate across several tools, services or technology stacks
Are willing to share candid feedback and help validate real outcomes

Much of DEYKON is still in active development, and this programme is how we build it with the teams who will use it. It is not a promise of immediate production deployment — participation and pilot scope are agreed directly with each team.

Register interest

Start the conversation.

Tell us a little about your team and the delivery challenge you want to solve, and we will get back to you.

Name

Please tell us your name.

Work email

Enter a valid work email address.

Company or organisation

Please tell us where you work.

Primary delivery challenge

Choose the challenge closest to your situation.

Add more detail — optional, and useful context if you would like to share it

Role Optional

What would you want from early access? Optional

Pilot timing Optional

Questions we get asked.

What is DEYKON?

DEYKON is a governed AI delivery engineering platform: a control plane that connects business intent, delivery context, policies, AI work, tests, evidence and outputs.

Is DEYKON another AI coding assistant?

No. Coding assistants can be workers within a delivery process. DEYKON is designed to govern and connect the process around them, while keeping approval and release authority explicit.

Does DEYKON replace our existing tools?

That is not the goal. DEYKON is being designed to complement existing engineering tools, AI providers and delivery pipelines through governed artefacts and useful handoffs.

Who is the Early Adopter Programme for?

It is for engineering, architecture, platform and delivery teams actively exploring AI-assisted development and willing to test DEYKON against a meaningful workflow.

Is DEYKON production-ready?

DEYKON is in active development. The early-adopter programme is intended to validate workflows, integrations and outcomes with suitable design partners before broader availability.

What happens after I register?

We will review the fit between your delivery challenge and the current programme. If there is a useful match, we will contact you to arrange an introductory conversation and agree a possible evaluation scope.

Early Adopter Programme

AI delivery needs more than speed.

Bring intent, people, AI workers and evidence into one governed delivery path.