altitudes® Cloud · Platform · AI Amsterdam · Rotterdam --:--
[SERVICE]AI4–8 weeks (Agentic Kickstarter), continuous (programs)
[04] / SERVICE — AI & AGENTIC ENABLEMENT

AI as production engineering, not as a marketing slide.

We treat AI the same way we treat any other production service: observable, governed, cost-attributed. Two pilots, agreed metrics, four to eight weeks. The platform foundation is the work; AI in production is the outcome.

Start with the Agentic Kickstarter→ Book the Platform Read→
[01] / CAPABILITIES _

What an AI enablement engagement covers.

One gateway controls everything downstream: which model runs, what it costs, and when to fall back — wired once, enforced on every request.

[FIG.05 / AI ENABLEMENT · MODEL GATEWAY] ONE INBOUND · THREE MODELS · ONE FALLBACK
  • [01] / USE CASES

    Use-case discovery

    We name two real use cases, name the user, name the metric. Two pilots, not twenty PowerPoints.

  • [02] / ENVIRONMENT

    Secure pilot environment

    Identity, data egress, model access, observability. Built on your landing zone, not a side cluster.

  • [03] / GUARDRAILS

    Guardrails by default

    Input validation, output review, hallucination class identified, fallback paths. Written, not assumed.

  • [04] / OBSERVABILITY

    Token, latency, quality

    Every AI call instrumented. Cost per use case. Quality regressions caught before users do.

  • [05] / ADOPTION

    Engineering team enablement

    Agentic-development workshops, paired coding, internal documentation. Your team owns the pilot.

  • [06] / ROADMAP

    From two pilots to a programme

    Decision tree for what scales, what stops, what waits. Quarterly review optional.

[02] HOW WE RUN IT _

How an AI engagement runs.

From audit to handoff4–8 weeks (Agentic Kickstarter), continuous (programs)

Four layers stand between every prompt and your model — PII scrubbing, injection detection, policy enforcement, and a clean refusal path.

[FIG.06 / AI ENABLEMENT · INPUT GUARDRAILS] FOUR LAYERS BEFORE THE MODEL
[01] / DISCOVERY

One-week discovery.

Three to five candidate use cases. We pick two with you. Success metrics agreed in writing.

⏱ 1 wk
[02] / DESIGN

Pilot architecture.

Identity, data, observability, guardrails. Signed off by your security lead.

⏱ 1 wk
[03] / BUILD

Two pilots, 4–8 weeks.

Production-shaped. Real users on at least one of them. Token, latency and quality dashboards from t=0.

⏱ 4–8 wks
[04] / HANDOFF

Adoption review.

What worked, what didn't, what to scale, what to retire. Your team runs it from here.

⏱ 1 wk
[FIG.07 / AI ENABLEMENT · OUTPUT VALIDATION] THE CLOSED LOOP IS THE PRODUCT
[RELATED]PACKAGED SOLUTIONAGENTIC KICKSTARTER

Agentic Kickstarter.

Two AI use cases with guardrails, observability, cost attribution. Secure pilot environment built on your landing zone. Outcome: real AI in production, not another pilot graveyard.

See the solution→

Questions about AI enablement.

[01] Are you an AI agency? +

No. We are a cloud and platform engineering team that helps organisations adopt AI safely. Platform is the work; AI is the outcome.

[02] Which model providers do you work with? +

Bedrock, Vertex AI, Azure OpenAI, OpenAI direct, and open-weights on managed runtimes. We pick on data residency, latency, total cost, and exit risk.

[03] What about EU AI Act? +

We design pilots so the AI Act classification is known from day one. Risk class, transparency obligations, evaluation evidence, post-market monitoring. Written into the runbook, not into an afterthought.

[04] Can you scale a pilot we already shipped? +

Yes. Often the right move. We assess the pilot, name what's missing for scale (guardrails, observability, cost attribution, identity), and ship the gap.

[NEXT STEP]

Ready to talk ai enablement?

Start with the Agentic Kickstarter→ Or email hello@altitudes.cloud→

One call, one written summary, either way.