aiqorxAssisted drafting
Produce a first pass for human review.
AI & intelligent workflows / Generative AI
Generate with a clear standard for review.
Generative models produce text, images, or other outputs in response to context and instructions.
Talk through your project
Technology in focusGenerative AIEvidence / Evaluation / Control
A connected engineering approach
- 01Experience
People, tasks, accessibility
- 02Application
Components, logic, integrations
- 03Foundation
Data, operations, maintenance
The architecture follows your product requirements.
01 / Where it fits
Built around
a real use case.
Document summaries
Condense information while retaining source context.
Content workflows
Structure generated outputs for downstream use.
02 / Architecture
The decisions
behind the build.
A sound foundation
Define input boundaries, output schemas, source requirements, and review gates. Log model versions and evaluate against realistic examples.
The tradeoff to consider
Plausible output may be wrong. Generation needs clear limits and a useful fallback when evidence is missing.
03 / Delivery & care
Make it work.
Keep it dependable.
Quality in the details
Evaluate representative inputs alongside ambiguous, adversarial, and unsupported requests. Track quality, latency, cost, and human corrections against a defined acceptance set.
Understand
Review the users, existing systems, constraints, and definition of success.
Shape
Document the architecture, interfaces, risks, and delivery scope.
Build & validate
Review working increments against real use cases and failure conditions.
Handover & evolve
Prepare operating guidance, ownership, and a practical maintenance plan.
04 / A few useful questions
Before you begin.
Is Generative AI the right choice for my project?
Plausible output may be wrong. Generation needs clear limits and a useful fallback when evidence is missing.
Can we improve an existing application?
Start with a code and architecture review. The useful outcome is a clear decision about what to keep, improve, or replace, with the dependencies and delivery risks made explicit.
How are scope and cost determined?
The estimate depends on the workflows, integrations, platform requirements, and quality expectations. A focused discovery phase can reduce uncertainty before committing to the full build.
What happens after launch?
Agree on source ownership, documentation, monitoring, support responsibilities, and a maintenance plan as part of the engagement.
Something in mind?
Let's buildwhat's next.
A new website. A better product. A bigger possibility.It starts with a conversation.