Direct answers
Read the operating details before sending a brief.
Straight answers about managed AI roles, custom software work, integrations, permissions, delivery, and what happens after launch.
Principal managed service
AI employees for the work between your systems.
Install one bounded operational role with approved tools, explicit permissions, human approval, visible handoff, and a managed production run.
Start
Up to 3 workflows
Access
Scoped tools
Control
Approval gates
Run
Managed & monitored
Principal managed service
Managed AI operations
Role-based AI operators that work 24/7 on incoming work through the business’s chosen WhatsApp or Telegram, with configurable browser, research, document, content, calendar, and approved-tool workflows, plus human approval for sensitive actions.
What can an installed AI employee do beyond the public demos?
A commercial role can be configured to work continuously on incoming tasks, use a controlled browser, research public sources, complete approved templates and documents, draft content, coordinate calendars or appointments, and operate approved tools and workflows. Capabilities are enabled only when needed; sensitive or external actions stay permission-bound and human-approved. Public demos are intentionally narrower and do not imply that every capability is enabled.
What is a managed AI employee?
It is a role-based software system configured around up to three agreed initial workflows. It triages work, follows up, updates approved records, prepares documents and reports, coordinates across tools, requests approval for sensitive actions, and hands exceptions to people with context.
Is this just a chatbot?
No. A conversational interface can be part of the system, but the deliverable is a managed operational role: a defined queue, approved knowledge, selected tools, action limits, human handoff, and monitoring.
What can I test in the functional demos?
Six fictional workspaces cover dental, agriculture, accounting, legal, real-estate, and field-service operations. Each one includes role-specific navigation, synthetic records, and multi-step work for investigation, drafts, exception routing, approvals, and evidence review.
Do the demos use real customer data or write to external systems?
No. Public demos use synthetic records and simulated writes. Sensitive actions stop at an approval step, and no real patient, client, court, grower, property lead, supplier, or field-service customer is contacted.
Can it connect to our CRM, email, help desk, database, or internal software?
Potentially. CodeAustral first validates supported access, permissions, data quality, rate limits, and recovery paths. An unsupported or unstable integration is narrowed, redesigned, or excluded before launch.
Does it need a new or dedicated WhatsApp number?
No. The employee uses the business channel you choose—your existing WhatsApp or Telegram. CodeAustral does not provide or require a second number. Channel access and policy fit are validated during onboarding.
Can our team create and adjust workflows after launch?
Yes. CodeAustral configures up to three agreed initial workflows and teaches the operating method with reusable templates so your team can create, duplicate, test, and adjust its own. Additional professional design, implementation, or integrations are quoted separately according to complexity.
Does it act without supervision?
Only inside the permissions approved for that role. Financial, contractual, publishing, account, and other sensitive actions can require confirmation. Unknown or conflicting situations are escalated to a named owner.
What is the commercial starting point?
Plans are USD 49, USD 99, and USD 199 per month, with annual billing available and no setup fee. Every plan includes the complete AI employee and the same capabilities. USD 49 runs on managed shared cloud; USD 99 and USD 199 run on a private managed VPS with progressively higher AI usage capacity.
How long does the first role take to launch?
The launch plan is set after CodeAustral validates the workflow, real examples, access, approval owners, and integrations. A role using reliable existing access is faster to validate than one that needs a custom connector or data cleanup.
Where is company data processed?
The deployment pattern is selected during scope around the company’s data, security, network, and infrastructure requirements. Private infrastructure can be quoted when the role requires it.
How is success measured?
Before launch, CodeAustral and the workflow owner define acceptance measures for the chosen queue, such as completion quality, processing time, handoff rate, error rate, or backlog reduction. The role is reviewed against those measures rather than judged as a generic AI demo.
Product delivery
Software engagements
How custom software work is framed, estimated, delivered, and handed over.
What does CodeAustral build?
CodeAustral designs and engineers custom web platforms, SaaS products, native iOS apps, applied AI systems, restaurant technology, integrations, and the operational infrastructure around them.
How does a project start?
Send the current context, desired outcome, users, systems, constraints, and any existing product or code. The first response focuses on fit, unknowns, and the smallest credible next step before a delivery plan is proposed.
How long does a software project take?
Timing depends on the product surface, existing code, integrations, review cycle, and launch requirements. CodeAustral provides a schedule only after the relevant scope and dependencies have been inspected.
How is project pricing determined?
Custom product work is estimated from the agreed scope, delivery mode, technical risk, dependencies, and support requirement. The written proposal separates assumptions, deliverables, exclusions, payment stages, and change handling.
Who owns existing and newly created assets?
Existing customer systems and assets remain theirs. Ownership, licences, repositories, third-party components, handoff, and any continuing hosting or support are defined explicitly in the written agreement for the engagement.
Can CodeAustral work with an existing product or team?
Yes. The engagement can begin with a product audit, a defined feature, an integration, a recovery effort, or a focused delivery track alongside an internal team. Access and decision ownership need to be clear before implementation starts.
Production
Controls & ongoing operation
What happens around security, dependencies, launch, support, and changes.
What happens after launch?
The handoff or managed-support path is agreed before launch. It can include a defined correction period, monitoring, maintenance, release support, operational documentation, or an ongoing product roadmap.
How are security and data requirements handled?
Security requirements are mapped to the actual system, users, data, providers, access model, and deployment environment. Controls and responsibilities are documented for the specific engagement rather than assumed from a generic package.
What happens when a dependency is not reliable?
CodeAustral validates critical providers and access paths before relying on them. A fragile dependency is isolated, given a recovery path, moved behind approval, replaced, or removed from scope instead of being hidden inside the implementation.
Can the scope change after work starts?
Yes through the change process agreed for the project. The impact on delivery, cost, acceptance, and dependencies is made explicit before the changed work becomes part of the commitment.
Your workflow is specific
Send the context that the FAQ cannot know.
Share the current systems, the desired outcome, the decision boundary, and what has already been tried. The first reply will focus on feasibility and the clearest next step.