AI systems and workflow automation.
Integrate AI into real software and business workflows with the controls needed to evaluate, operate, and improve it.
Discuss this serviceEngineering the whole operating path.
8Network treats AI as one part of a production system. That means the workflow, data, integrations, review steps, failure behavior, evaluation, telemetry, and cost model are designed together.
When this work is useful
- An AI prototype needs to become a dependable feature inside an existing product or workflow.
- A manual process could be accelerated with retrieval, tools, structured decisions, or assisted review.
- An AI workflow works in demonstrations but lacks evaluation, visibility, or failure controls.
- Multiple internal systems need to be connected through a governed automation workflow.
What 8Network can deliver
- AI features integrated into existing products and systems
- Tool-using and multi-step workflow implementation
- Retrieval and context pipelines
- Human-review, approval, and escalation controls
- Evaluation harnesses and regression testing
- Production telemetry and cost visibility
How the engagement works
Choose a bounded workflow
Define the decision, inputs, tools, human responsibilities, and acceptable failure behavior before selecting components.
Build evaluation into delivery
Use representative cases and explicit quality criteria so changes can be compared instead of judged by demonstrations alone.
Operate it as software
Instrument quality, latency, failures, human interventions, and cost so the workflow can be improved in production.
Relevant experience
- Combines production backend integration, workflow design, and observability in one delivery approach.
- Applies explicit evaluation, human-review, failure-handling, and telemetry controls to AI-enabled workflows.
- Builds integrations around the client’s existing systems rather than requiring a separate replacement platform.