Synked.ai

Service · Deploy and manage

We keep your AI working after launch.

Monitoring, testing, fixes and monthly improvements for your AI systems and agents.

Discuss a Managed AI plan

What it is

In plain terms.

AI is not a one-time software project. A normal app does the same thing every day. An AI system drifts: customers ask questions nobody planned for, your prices and policies change while the AI still uses the old ones, model providers ship updates, and usage grows along with the bill. None of this breaks loudly. The answers just get a little worse each week.

  • Answers get worse slowly, and nobody notices until a customer does.

  • Your prices and policies changed. The AI is still using the old ones.

  • The model provider shipped an update and nothing was re-tested.

  • The bill grows every month and nobody owns it.

If one of those is yours, this is the page

What we manage

What you actually get.

Named, so you can tell whether it covers your case.

  • Monitoring

    Uptime, errors, response time and usage, every day.

  • Evaluation

    Answers tested against a set of real cases, every week.

  • Agent performance

    Conversations reviewed, with task success and hand-off rates.

  • Cost control

    Model choice and caching, to cut what it costs to run.

  • Security reviews

    Checks for data leaks, prompt injection and risky permissions.

  • Model updates

    New versions tested before you are switched onto them.

What it looks like working

One run through, start to finish.

The shortest honest description of the thing working.

  1. 01

    A restaurant changes its menu.

  2. 02

    The support agent starts handing more questions to staff.

  3. 03

    Monitoring flags the rise before anyone reports it.

  4. 04

    We update what the agent knows, and re-test it.

  5. 05

    The hand-off rate drops back within the week.

Every month

You get a report, and one team to call.

  • A short report on quality, cost and usage.

  • The fixes we made, and why.

  • What we plan to do next.

  • One team to call when something looks wrong.

Process

How it runs.

Each step ends with something you can look at.

  1. Onboarding review
  2. Baseline tests and dashboards
  3. Monitor
  4. Test
  5. Improve
  6. Report

Next

Already running AI? Find out how it is really performing.

There is no signup and no demo environment. It starts with a conversation.

Discuss a Managed AI plan

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