The demo impresses. Everyday use reveals the gaps.
The workflow works in testing. Real data, multiple users and exceptions expose its limits.
BRINGING AI & SOFTWARE PROJECTS INTO PRODUCTION
Aivacuate analyses stalled AI applications and software built with AI. We assess what works, address critical weaknesses and lay the foundations for reliable operation.
WHEN PROGRESS GRINDS TO A HALT
The workflow works in testing. Real data, multiple users and exceptions expose its limits.
New bugs and unfinished features keep pushing completion back. There is no clear path to acceptance.
Answers contradict each other, sources are missing or permissions are not consistently enforced.
ERP, CRM or internal data are not yet reliably connected. Manual work remains.
TWO STARTING POINTS. ONE GOAL.
Sometimes the code needs a sound structure. Sometimes the AI needs reliable foundations. We take a close look.
We review AI-generated code, architecture and access controls. The assessment creates a focused path towards a maintainable application that is ready for use.
Rescue AI-built softwareWe examine knowledge assistants, chatbots, agents and automations — from data and output quality to integration and running costs.
Move AI projects forwardOUR APPROACH
We respect the work already done. The next step depends on its substance and your business objective.
We examine the project status, architecture, code or AI behaviour, data, interfaces and operational requirements. You receive an assessment of what can be reused, prioritised actions and a reasoned estimate of the work involved.
The in-depth assessment is a separate, paid engagement. Our initial conversation clarifies your needs first.
What we assessBased on the assessment, we agree a defined scope with verifiable acceptance criteria. We fix bugs, add missing features and selectively replace problematic components.
Scope, dependencies and acceptance are agreed together before implementation.
How we complete projectsAfter handover, monitoring, maintenance, cost control and further improvements can be agreed as ongoing services. AI features are also checked for output quality.
Responsibilities and ongoing services are agreed to suit the project.
What comes nextTHE OUTCOME OF THE PROJECT ASSESSMENT
Past investments deserve careful assessment. Further investments need a sound foundation.
Explore the project auditAn overview of the technical state of the project.
An assessment of reusable components.
Prioritised risks and obstacles.
A recommendation to complete, selectively rebuild or discontinue the project.
An action plan covering effort, dependencies and acceptance criteria.
ILLUSTRATIVE USE CASES
These examples illustrate typical starting points. They are not client references.
A customer portal built with AI needs robust access controls and an ERP integration.
EXAMPLE 02A knowledge assistant uses outdated documents and gives contradictory answers.
EXAMPLE 03An automation works in testing but fails when everyday exceptions occur.
EXAMPLE 04A custom application needs tests, documentation and a reliable operating environment.
YOUR PROJECT. THE NEXT STEP.
Four questions help you organise your needs for an initial conversation.
The project check prepares you for a conversation. It does not replace a technical assessment or calculate prices or chances of success.
ABOUT AIVACUATE
Aivacuate is a TELENORMA company. Our focus: stalled AI and software projects at small and medium-sized businesses.
We assess what is there without dismissing previous decisions or development partners. What matters is the foundation the project offers today and what reliable operation requires.
Our benchmark is a path that makes business sense. That includes a clear recommendation to replace individual components or discontinue an uneconomic project when appropriate.
Aivacuate / TELENORMASTART WITH THE RIGHT QUESTIONS
When reusable work, expected value and a realistic level of effort align. A project assessment compares targeted further development with rebuilding or stopping. Past investment alone is no reason to spend more.
No. A brief description of the goal, current status and main obstacles is enough for an initial discussion. Together, we clarify which documents are missing for a detailed assessment. Please do not send confidential documents or credentials in your first contact.
Factors include code quality, data access, missing features, security requirements, external dependencies and the intended operating environment. A reliable estimate requires an assessment and a defined scope.
Yes. Collaboration and responsibilities can be agreed together. Existing knowledge and documentation support the assessment. Access, responsibilities and acceptance criteria should be clear to everyone involved.
A CLEAR PICTURE IS THE FIRST STEP.