Business context,
made actionable.
Connect intake, user stories, acceptance criteria and process maps so the team can work from the same understanding.
Meet AppReady AppFactory
Connect business discovery, application design and expert delivery in one considered workflow—with people in control.
“We need one place to manage client requests, approvals and project status.”
Example briefAppReady + ASTRA / Platform walkthrough
Astra and Arthur guide nine connected stages, from the first business conversation to a working application and its Console evidence.
Recorded fictional AUTOHover case with synthetic presenters, assisted implementation and remaining production gates. Retained Console views are labelled.
AppReady AppFactory
Turn conversations and business processes into structured requirements, reusable capabilities and a clear engineering handoff.
Bring together conversations, documents and process knowledge. Structure the problem before committing to a solution.
A scoped brief with the context needed to make the next decision.
↗ Your team reviews the next stepConnect intake, user stories, acceptance criteria and process maps so the team can work from the same understanding.
Review reusable components, understand their provenance and identify the gaps that need engineering attention.
Carry blueprint, test, review and version information into delivery and the next round of improvements.
◇ GuardRails
Define how an AI application should handle data, audiences and communication. Make those expectations specific to the client and the application.
Document what information is sensitive, which sources are appropriate and how returned information should be handled.
Policy design and review. Runtime use requires application-specific integration and validation.
Clarity across the whole experience
Make expectations explicit: what an answer needs to support it, what information belongs in it, and when a person should decide.
Set rules for checking facts against sources, separating inference from evidence, and making uncertainty visible when information is missing.
Define how to handle stale information, conflicting answers and changing results. Compare source updates, operating conditions, timing and calculation differences before explaining a variation.
Choose expectations for sensitive information, respectful language and appropriate content, with clear limits for the people using each application.
Specify a supportive response to stress, urgency and delicate topics. Allow room to adjust pace and detail, accept corrections and involve a person.
Clarify whose decision it is, what the application is allowed to do, and which actions need approval. Keep outside content from becoming permission to act.
Define safe handling for incomplete results, invalid data, failed requests and timeouts, with transparent status and a clear recovery path.
Review the policies individually and choose the requirements that fit your application.
Development and builds, AI conversations, or processing and returned data.
Hold output, redact protected details, rewrite and recheck, request human review, or flag with an explanation.
Save a versioned assignment, export its contract, or restore an earlier revision for editing.
Audience labels are internal policy settings. Configure expectations before application-specific integration and validation.
These are configurable policy requirements. Runtime checks need application-specific integration and verification.
VETCODE / Global expert matching
Bring the right people into the work. Our connected recruiting, vetting and matching process uses AI assistance to organize expertise around real business needs.
Role, project context and required expertise
Experience, skills and vetting information
Human judgment, next steps and delivery fit
VETCODE connects recruiting, vetting, matching and certification workflows with the CRM and delivery process. AI assistants help organize candidates, clients and next actions; your team stays involved in the decisions.
Four specialist workspaces
Technology, engineering, legal and dental workflows, connected through one matching and delivery approach.
Recruiting, vetting, matching, certification workflows, CRM and delivery.
Engineering profiles, job descriptions, reviews and onboarding.
Legal talent, roles, certification workflows and client services.
Dental assistants, hygienists, front-office and practice staffing.
Built around real work
Start with a focused use case. Shape the workflow, agree the boundaries and define what success looks like.
A few useful answers
It brings business discovery, stories, process design, reusable capabilities and a reviewable application blueprint into a connected workflow. AIReady’s engineering and Foundry capabilities support implementation, testing and delivery with explicit review steps.
No. AI assists the work, while people confirm scope, review outputs and approve delivery. The available level of automation depends on the application, its integrations and the agreed implementation.
GuardRails provides a policy workspace for defining, reviewing, versioning and exporting client- and application-specific expectations. Runtime enforcement requires separate integration and validation for each application.
Yes. Discovery can focus on the current workflow, a specific change or a new capability. The next step is to establish the source, dependencies, acceptance criteria and release approach for that application.
We’ll explore your business process, walk through the AppFactory approach and discuss relevant GuardRails policies, reusable capabilities and engineering needs. The aim is a clear next step for your use case.
Your next move
See how AppReady AppFactory, GuardRails and expert delivery could fit your team.
Prefer email? Contact the team ↗