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AI Consulting · Graham Miranda Network

AI consulting for practical business workflows

AI consulting at Graham Miranda is about deciding what NOT to use AI for as much as where to use it. We help you map out which workflows are real wins, which are risk-heavy, and how to govern the ones you ship.

AI consulting · KI Beratung · AI business workflows · practical AI automation
AI consulting for practical business workflows Graham Miranda service overview
概要

このページの内容

AI consulting focused on practical assistants, knowledge workflows, automation ideas and responsible operational support without unrealistic promises.

  • Use-case workshop: which workflows actually benefit from AI
  • Vendor and model selection (Anthropic, OpenAI, Google, open-weight) with trade-offs
  • Data governance: residency, training opt-out, retention policy
  • Cost modelling per workflow with token-budget tracking
  • Written recommendations including what NOT to automate
進め方

進め方

明確なマイルストーンを伴う透明な協働モデル。

01

Workshop

Half-day session with stakeholders to map workflows by AI suitability, risk and current pain.

02

Recommend

Written recommendations with model choice, governance pattern and cost model per workflow.

03

Pilot

Optional pilot implementation through Graham Miranda AI automation. Equally happy to hand off to your team.

期待できる成果

期待できる成果

現実的で誠実な期待値 — 過剰な約束はしません。

Honest scope

Some workflows simply do not benefit from AI; we will say so.

Right model

Choice based on data sensitivity and cost, not marketing.

Governance

You know who can see what and what happens if outputs are wrong.

Reversible

Recommendations work even if you change vendor later.

FAQ

よくあるご質問

Graham Mirandaのサービスを比較する方への簡潔な回答です。

Will AI replace our staff?

For most SMEs no — AI is best at narrow assistance: drafting, searching, summarising. It does not replace judgement.

Which model is best?

Depends on the workflow. Claude is strong for long-context reasoning and writing; GPT-4 / 5 broad capability; Gemini for Google-stack integration; open-weight where data sensitivity demands self-hosting.

Will our data train models?

Not on enterprise API tiers that contractually exclude training. We will document and verify this for each chosen vendor.

What about hallucinations?

Mitigation via retrieval grounding, explicit "I do not know" behaviour, and human-in-the-loop checkpoints for high-stakes outputs.

How much should we budget?

Pilot work: typically €5–20k. Production AI workflows: monthly token cost varies; we model it per workflow.

Is on-prem AI realistic?

For specific cases yes — sensitive data, compliance reasons, or cost at scale. We will be honest about hardware reality (you need GPUs).

次のステップ

AI consulting for practical business workflows

AI consulting focused on practical assistants, knowledge workflows, automation ideas and responsible operational support without unrealistic promises.