MAINTENANCE & OPTIMIZATION

Implementation does not end on launch day.

Models, APIs, tools and processes change. Maintenance lets us observe the system, resolve issues and optimize it as the business evolves.

Discuss maintenance
ARKEA / AI
EFFICIENCY

Token usage optimization

We review how context is built and used to reduce unnecessary information, redundant calls and consumption that does not improve the result.

Depending on architecture, this can include context and prompt design, model selection and routing, caching when viable, retrieval precision, result reuse and reducing unnecessary calls. We do not promise a universal savings percentage.

CONTINUITY

What maintenance can include

01

Monitoring

Review of relevant operational signals.

02

Incidents

Diagnosis and correction of system issues.

03

Integrations

Adaptations when APIs or tools change.

04

Tools & skills

Adjustments as requirements evolve.

05

Models

Evaluation or changes when they create a real improvement.

06

Usage

Optimization of context, calls and resource consumption.

07

UX

Improvements based on real use and feedback.

08

Evolution

Evaluation of new needs after launch.

QUESTIONS

Frequently asked questions

We review context, retrieval, model selection, calls and reuse to avoid unnecessary consumption without degrading the required result.
Maintenance can include adjustments to integrations, tools, skills, models and user experience so the system remains operational as its environment changes.

Tell us what AI should be able to do inside your company.

We look at your operations, tools and problem context. If there is a real implementation opportunity, we define the next step together.

Tell us your use case →