Applied AI systems

AI Integration Engineering 

A production AI feature is a measured workflow around a model, not a prompt attached to a text box.

How we use it

A technology choice is useful only when it improves the product or its operation.

We integrate AI where probabilistic interpretation improves a defined task. Inputs, context, tools, policies, evaluation, review, and monitoring are designed as one system so model changes do not silently change product behavior.

Architecture decisions
01Architecture decision

Task boundary

Define the narrow decision or transformation the model assists and the cost of an incorrect result.

TechnologyAI Integration Engineering
Where it mattersKnowledge retrieval
02Architecture decision

Context

Control retrieval, permissions, freshness, source attribution, and context size.

TechnologyAI Integration Engineering
Where it mattersDocument extraction
03Architecture decision

Evaluation

Use representative cases and quality thresholds instead of relying on demonstration prompts.

TechnologyAI Integration Engineering
Where it mattersRequest classification
04Architecture decision

Action safety

Separate suggestions from consequential actions and require validation or approval where appropriate.

TechnologyAI Integration Engineering
Where it mattersDraft assistance
Where it fits
01

Knowledge retrieval

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02

Document extraction

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03

Request classification

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04

Draft assistance

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05

Semantic search

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06

Reviewer copilots

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Engineering choices

Choose the architecture for the product you need to run.

Talk to Averaq↗