NEURAL ORCHESTRATION RUNTIME AGENT
Your team is already using AI.
NORA is the mind that keeps it honest.
NORA connects agreed requirements, approved documentation and the evolving codebase through structured, multi-step workflows — helping teams clarify work, validate changes and carry approved decisions through delivery.
MODEL-AGNOSTIC · GITHUB · JIRA · SLACK · CONFLUENCE · A FULLY OWNED PRODUCT OF WEST CODE
THE PROBLEM
The risk isn't AI writing code.
It's nobody checking it against the requirement.
Developers will use AI whether an organisation encourages it or forbids it. Without a managed approach, that becomes shadow AI:
Different tools
Different models
Different prompts
Wildly different levels of care
NORA keeps requirements, decisions, documentation and implementation connected as the project evolves, helping teams apply a consistent process across different people and AI tools.
OUR SOLUTION
Safeguards around the process. Protecting the agreed requirement.
"Differences between approved documentation and implemented behaviour should never pass unnoticed. NORA surfaces them so the team can agree how to restore alignment or record an approved exception"
LLM vs NORA: What's the Difference?
A model can reason over the context it receives. NORA connects project context and puts it to work through structured delivery workflows
WHAT A LANGUAGE MODEL KNOWS:
Patterns across millions of projects
How software is typically built
How to refactor a module
WHAT IT DOESN'T KNOW:
Your client changed the payment requirement in July
Your team accepted a security trade-off for three months
That another branch depends on that module right now
THE MIND
What NORA Knows
Built from connected project sources, recorded decisions and the work your team shares.
REQUIREMENTS
What was requested, what changed, and who approved it.
DECISIONS
Client and team decisions — with the conversations behind them.
DOCUMENTATION
What the system says should be true, and whether the code still agrees.
CODE HISTORY
What changed, why it changed, and the context surrounding it.
DELIVERY STATE
Branches in flight, active work, dependencies and current status.
APPROVED EXCEPTIONS
Trade-offs the team knowingly accepted — and why.
THE MODEL ISN'T THE PRODUCT
Models change.
The mind persists.
Open-ended answers from an underlying model are not the product. NORA's value begins where that shared context, connected systems, and real actions are added around it.
The models will keep changing — NORA is model-agnostic by design and adopts new ones through evaluation and validation. The mind is what persists.
WHAT NORA DOES
One system across planning, validation & delivery
Catches what the pull request missed.
NORA reviews submitted changes against documented requirements, approved decisions, and related project work, surfacing gaps and conflicts with supporting reasoning in GitHub
Propagates one decision everywhere it lands.
NORA maps the impact of a requirement change across connected documentation and related work, presents it for review, then applies approved updates and prepares the implementation backlog
Sees conflicts between branches, not just inside them.
NORA checks parallel work for conflicting requirements, behaviour and dependencies, helping teams identify collisions before the changes are merged.
Turns hours of sprint prep into less than an hour.
Give NORA the context of a client call. It assesses what's present, asks for what's missing, and produces the intermediate artifacts — flow diagrams, structured requirements, Jira tasks — for you to review and approve.
Replaces the morning status round.
Spend less meeting time reconstructing status. NORA brings together evidence from tasks, branches, requirements and decisions so managers can focus on blockers, priorities and the people who need attention.
Remembers the exception your team already approved.
NORA keeps documented exceptions in context, reducing repetitive alerts while keeping accepted risks visible for review.
INTEGRATIONS: INSIDE YOUR STACK
NORA works where your team already works
No new interface to adopt. Your team can keep working in its existing tools.
GitHub
Reacts to branches and pull requests, compares changes against requirements and wider project context, and leaves review suggestions, warnings and test artifacts directly in the thread.
JIRA
Ask a question from inside a task — where a requirement is documented, how many places a change touches. Or assign NORA supported work such as requirements analysis, documentation updates and backlog preparation, within the agreed workflow and approval process
Slack
Present in the channels you choose. Find requirements, accepted client decisions and project context, or ask NORA to investigate a conflict and update the approved documentation.
Confluence/Outline
Documentation stays aligned with code, requirements and decisions. Use comments to request documentation changes. NORA identifies related sections and carries approved updates through the connected documentation
ATS/CRM
The same orchestration approach extends beyond software delivery into supported recruitment and customer workflows.
More Tools!
Additional integrations can be assessed around your tools, available APIs and required workflows.
HUMAN OWNERSHIP
People remain responsible for accepting risks and authorising production releases.
Developers own the solution.
They choose how features are implemented, make architectural decisions and remain responsible for the code that ships. Local coding assistants like Codex, Claude Code and Cursor remain their tools.
Teams own consequential decisions.
Client, product, hiring, architectural and delivery decisions stay with the people responsible for making them. NORA provides context and recommendations; a human makes the call.
Specialist tools stay specialist.
NORA integrates mature tools rather than recreating them, connecting their outputs to the wider project context.
WHO NORA IS FOR
Built for teams accountable for what ships
CTOs & engineering leaders
You need AI adoption you can stand behind: improvements that can be evaluated against evidence, visible risk, and a defensible answer when someone asks how AI-assisted code is governed.
Project & delivery managers
Less time reconstructing status and chasing documentation. More time on people, priorities and the exceptions that actually need judgement.
Software houses & delivery organisations
Apply consistent delivery workflows across teams and client projects, with traceable requirements, reviewable changes and less dependence on individual AI habits.