steadymade.ai
ENDE
Step 3 of 3 · Operations, Monitoring & Enablement

Reliable AI in day-to-day operations.

Keep AI working in production: monitoring, EU AI Act documentation, training for your teams and continuous improvement. The work most agencies skip.

Duration
Ongoing
Format
Monthly retainer or project
Result
Operational AI
Price
Monthly retainer
How it works · 5 steps
  1. 01

    Monitoring setup

    Dashboards and alerts for output quality, latency, error rates, and cost. Not just infrastructure, model drift and prompt degradation tracked too.

  2. 02

    Compliance baseline

    GDPR, EU AI Act and DPA requirements reviewed against your deployment. Data flows documented, processing agreements in place, risk assessment completed.

  3. 03

    Continuous improvement

    Scheduled review cycles with prompt updates, model upgrades, and workflow refinements. Improvements are scoped and delivered, not promised.

  4. 04

    Incident response

    Defined runbooks for model failures, data leaks, and unexpected outputs. On-call protocol and communication templates ready before you need them.

  5. 05

    Team enablement

    Workshops and documentation that make your team self-sufficient: prompt basics, escalation paths, and how to evaluate output quality without technical help.

Average uptime across managed systems
99.5%
Compliance incidents on managed systems
0
Mean time to detect quality regressions
<24h
Team adoption rate after enablement
85%

What you get.

Monitoring dashboard

Real-time view of output quality, usage, latency, cost, and compliance signals. One place, no manual checking.

Compliance documentation

Records for GDPR, the EU AI Act, your data processing agreement (DPA/AVV) and data protection impact assessment (DPIA/DSFA) maintained as living documents, updated when the rules change, not when an audit hits.

Enablement training

Ongoing team training and prompt improvement cycles so your people keep pace with the system.

Continuous improvement plan

Quarterly reviews with KPI comparisons, model updates, and a prioritised improvement backlog.

Questions,
straight.

Common questions about Operations. If yours is missing, ask us in the call.

What does monitoring cover?
Output quality (accuracy, hallucination rates), latency, API costs, and model drift. Alerts are configured for thresholds that matter to your process, not generic infrastructure metrics.
What compliance do you cover?
GDPR, the EU AI Act (high-risk classification, documentation, human oversight), DPA/AVV drafting, and a DPIA (DSFA) where required.
Do we need to be on a retainer?
No. We offer one-off compliance audits and monitoring setup as fixed-price engagements. Ongoing retainers are available if you want continuous improvement and support.
How do you handle incidents?
We build runbooks before an incident happens: defined severity levels, escalation contacts, communication templates, and rollback procedures.
What does team enablement include?
Workshops tailored to your team's role, not a generic AI course. Focus on your deployed tools, your prompts, and how to catch quality issues early.
Can you take over a system someone else built?
Yes. We start with a technical audit, establish monitoring and documentation, and then transition to regular operations.
Free · 30 minutes · No obligation

Is Operations the right first step?

In 30 minutes with a founder you find out, and what it would take in your business.

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