Build something new
Define and deliver a new response from its intended outcome.
Developed capability / Project delivery
Signal Logic Factory
Good delivery starts
before the build.
Signal Logic Factory helps define what a project must achieve, develop its requirements and design, and carry those decisions through AI-assisted implementation and checks.
- The focus
- The whole project workflow.
- The differentiator
- Project design and control above the AI execution environment.
- The responsibility
- People approve consequential decisions. Results are checked against requirements.
The project workflowDefine the project
Define the project
before building it.
Working software can still solve the wrong problem. Requirements, operating responsibilities and user journeys need to be understood before implementation begins.
- Frame and challengeUnderstand the need, objective, constraints and proposed response. Stress-test the requirements.
- Design and specifyWork through the solution and any relevant user experience. Specify how components exchange information, how failures are handled and who operates the result.
- Build and verifyBreak the work into tasks with clear scope. Use AI agents for implementation, with appropriate reviews and checks for unintended changes to existing behaviour.
- Accept and authoriseCheck the version being considered for release against the agreed requirements. People retain authority over release and deployment.
Discovery and design can be revisited. When requirements change, affected design, implementation and tests must be updated too.
Above the execution environment
Requirements and design guide the implementation.
An execution harness is the environment where AI agents use tools and work with code. The Factory sits above it, organising the project definition, delivery and checks against requirements.
Intent and human authority
Problem, objective, scope, acceptable risk and consequential decisions.
Signal Logic Factory
Requirements, design, specifications and checks against the agreed project intent.
Execution harness
AI agents working within agreed scope, using tools and returning results for review.
Working response
The agreed behaviour in an application, service or technical environment.
The Factory currently uses Codex to run agent work. Other compatible execution environments are a future development direction.
Delivery in practice
Put better thinking to productive work.
The Factory puts human attention into understanding the need and designing the solution, then uses AI agents to help implement it. The delivery example below shows what that shift can mean for the effort a project requires.
- Conventional supplier quote
- ~2,500 human engineering hours
- Actual effort reported in the paper
- ~200 human hours
- The comparison
- 12.5:1 supplier's quote compared with reported human hours
A supplier's estimate compared with the human effort reported for an application delivered by CEADE Solutions. Source: Pricing AI Software Services: Reallocating Value and Risk, an SSRN working paper.
Our experience with selected Factory projects includes delivery-time reductions of more than tenfold and lower costs. We plan each project around its own scope, integration needs and available expertise.
Bring us your intended outcome, what already exists and your time or budget constraints. We can work through the specifications and examine where the Factory could make delivery more affordable.
Supporting delivery teams
Expand what a delivery team can take on.
Signal Logic Labs can support a delivery firm, an existing development team or an organisation with a project to deliver. The Factory brings the need, requirements, design and specifications together, then supports implementation within agreed limits and checks the result.
We adapt the starting point to the work: defining a new application, understanding an existing system or developing a supplied design into a buildable specification.
CEADE uses our Factory for internal and client projects. We have helped it pursue delivery ambitions that would otherwise have been constrained by time and cost.
See how the console keeps the journey visible
Different starting pointsNew work, existing systems
New work, existing systems
or a solution already taking shape.
Replace an existing system
Understand the existing system while defining what its replacement should do.
Improve an existing system
Extend or improve an existing solution within clear boundaries.
Start from existing designs
Review supplied requirements, specifications, designs or prototypes and resolve what is needed before delivery.
Work with Signal Logic Labs to apply the Factory to your project or support your development team.
How requirements changes are handled
When requirements change, the Factory revisits the affected design, implementation and tests before accepting the result.
WORKFLOW EXCERPT / REPOSITORY DOCUMENTATION
What must be resolved before the build?
- Requirements challenge
- The intended outcome, actors, operating rules, scope and acceptance obligations.
- Applicable UI/UX
- Connected journeys and design review, not screens considered in isolation.
- Technical definition
- Specifications and architecture review before dividing implementation into tasks.
- Controlled delivery
- Authorised implementation, checks for unintended changes and acceptance based on evidence for the version reviewed.
Inside the project consoleSee the project
See the project
from definition to delivery.
The console shows the project's requirements, user experience, technical design and delivery stages together. The work depends on what already exists and what needs to change.
View the console Home example
The Home view brings the project's next step and outstanding actions together. This design preview uses a template-maintenance scenario with demonstration data.
Productivity with accountabilityImprove the work.
Improve the work.
Keep responsibility with people.
Time saved matters when it supports a useful business response. Quality, operating reality and the people affected remain part of that decision.
Keep consequential decisions human
People set the outcome, approve important scope and risk decisions, and authorise release. Agents implement agreed tasks and correct routine defects within those limits.
Design for the people doing the work
Connected journeys must address users' starting context, next actions, errors and recovery. Usability reviews check whether a new user could complete the task without coaching and find where the interface leaves the next step unclear.
Protect information and check the result
Source-handling rules exclude known secrets from incoming material. AI usage records contain usage details rather than prompts, responses or personal data. Tests cover the changed behaviour, including security and failure paths where needed.
For applications affecting employees, requirements and reviews need to address changing roles, staff involvement, bias, monitoring and ways to challenge decisions.
Ways to use the Factory
Use the Factory to support your projects.
Delivery firms
Support internal and client projects with stronger definition and a repeatable AI-assisted delivery workflow.
Existing development teams
Add structured project thinking and Factory support around an existing IT or development practice.
Organisations with a need
Work directly with Signal Logic Labs to turn a need into clear requirements, a considered design and a working solution.