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Operations and evolution

AI system maintenance and operations: quality monitoring, cost management, and continuous improvements for your business agents and platforms.

What does running an AI system include?

AI operations is the ongoing work after launch: checking that the system works, controlling its costs, fixing errors, and improving it based on evidence. It is covered by a monthly fee and done by the same team that knows the architecture, so no context is lost with each change.

Two industrial robots hold layers of blue light on a factory platform.

Launch is only the beginning.

An AI project does not end on launch day. We monitor the system, correct deviations, and find new opportunities as day-to-day use generates evidence.

Results are compared against the agreed baseline. Until there is enough data, any projection stays labeled as an estimate.

The same team that understands the architecture supports its evolution, so context is not lost with every improvement.

Deliverables

  • Operations
  • Quality and cost monitoring
  • Continuous evolution

A clear scope from day one

What we need. What we build. How we prove it.

01 · Starting point
An existing system, defined owners, and authorized access to its documentation and health signals.
02 · Deliverable to agree on
A monitoring, maintenance, and improvement plan prioritized by evidence from the system.
03 · How to validate
Review quality, errors, usage, and costs; test every change before expanding its scope.
04 · Scope limits
Support hours, response times, and responsibilities are agreed on. Permanent coverage is never assumed.

This is a guide to define your project. Scope, acceptance criteria, investment, third-party costs, and ongoing support are agreed on in a specific proposal.

Use cases

Examples of what we solve with this service. Each case is adapted to your process, your tools, and your data.

Before you hire us

What to expect from this service.

Who it is for

Companies with a system or agent already running that need continuity, measurement and improvement without building their own technical team.

What problem it solves

The system exists, but nobody measures its quality, adjustments pile up and every change depends on finding whoever built it.

How we work

  1. 01

    Review

    We assess the state of the system, its risks and its costs.

  2. 02

    Agree

    We define capacity, priorities, hours and incident response.

  3. 03

    Operate

    We maintain and monitor the system and review its quality.

  4. 04

    Evolve

    We propose improvements based on what the system measures.

What we need from your team

  • Access to the system, its accounts and its documentation
  • One person who sets priorities
  • An agreed channel for reporting incidents
  • Regular review meetings

What it usually includes

  • Maintenance according to the agreed capacity
  • Monitoring and quality review
  • Control of AI consumption
  • Evolution prioritized with your team

What it does not include

  • Permanent availability unless expressly agreed
  • Unlimited development
  • Expansions that amount to a new project
  • Vendor costs

How the work is accepted

  • Each period ends with a report of the work done
  • Incidents are logged with their resolution
  • Agreed priorities are reviewed with evidence
  • System costs are visible to your team

What stays in human hands

  • Setting priorities and approving changes
  • Handling escalated cases
  • Authorizing new access or more autonomy

How it is contracted

It is contracted as a monthly agreement with defined capacity and priorities. Hours, incident response, included tasks and exclusions are specified.

Implementation, continuity and external costs

This service is the continuity. A major expansion is treated as a new project. Vendor costs, such as AI models, hosting or licenses, are identified separately and we agree who contracts and controls them.

This is a general guide. The scope, exclusions, investment and schedule of your project are agreed in writing in each proposal.

Other services

Frequently asked questions

What happens if the system fails?

We agree on owners, channels, and response times. Every system has a way to step in manually and restore the operation.

Can you run a system Daleki Lab did not build?

Yes, after reviewing it. We assess its architecture, documentation, and risks before taking on support.

How do you measure whether the AI is working?

Against the baseline agreed at the start: time, errors, quality, or cost. We compare it regularly and present results as measurements, not promises.

Does the monthly fee include unlimited development?

No. It includes an agreed capacity for support, maintenance, and improvements. Anything beyond that capacity is planned and quoted separately.

Can I stop the support later?

Yes. Exit terms are defined in the proposal and, since the accounts and data are yours, you can continue with your team or another provider.

Your idea deserves a first version

Tell us what you imagine. We start by understanding your challenge and exploring how to make it possible.

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