Generative AI Implementation Consulting
Implement generative AI in the enterprise the way production software is implemented — in your cloud, gated by evals, handed over to your team.
- Service
- Implementation
- Industry
- Enterprise
- Updated
- 2026-08-25
- Engagement
- 4 wks
Generative AI implementation consulting takes a bounded enterprise workflow from discovery to production: environments in your cloud, a shadow-mode pilot, evaluation with golden sets and CI gates, and handover of weights, datasets, eval suites, and runbooks — typically in four weeks. ReinforcedX quotes a platform subscription plus a fixed-scope fee before week one and includes 30 days on-call after handover.
Why teams pick this engagement
Implementation × EnterpriseThe four-week shape
Week one discovery, week two environments, week three shadow-mode, week four handover. That is the standard for a well-bounded workflow.
Your stack, not a sidecar
Connectors, identity, traces, and models live where your other systems live. We integrate; we do not replace your cloud.
Zero-retention default
Client data is not used to train shared models. Provider settings default to zero-retention. Work never copies the corpus onto our infrastructure.
CI gates, not a launch meeting
Golden sets and rubric judges block promotion. If the suite is red, the system does not take traffic — regardless of the calendar.
Handover is the product
Your engineers leave with runbooks, eval triage, and 30 days on-call. One process owner plus one engineer during the build.
Quoted before week one
Platform subscription plus a fixed-scope implementation fee, in writing. Inference is billed by you to the provider; no token markup.
Key takeaways
- 01
Standard implementation is four weeks: discovery, environments, shadow-mode, handover.
- 02
Work runs in the client’s cloud; data is not used to train shared models; zero-retention is the default.
- 03
Evaluation uses golden sets, rubric judges, and CI gates before live traffic.
- 04
You own weights, datasets, eval suites, and runbooks; 30 days on-call follow handover.
- 05
Inference is billed by the client to the provider — Anthropic, OpenAI, Google, Mistral, or a fine-tune — with no token markup.
What the engagement covers
How we work
- 01
Discover
Workflow, success metric, sources, and risks. Unbounded work is not scheduled as “implementation.”
- 02
Design
Architecture, permissions, eval plan, and model route before environments go live.
- 03
Build
Week-two environments and connectors; traces on from the first call.
- 04
Validate
Week-three shadow-mode against golden sets, rubric judges, and CI gates.
- 05
Deploy & Enable
Week-four handover of artifacts, then 30 days on-call.
Take the playbook with you
The working documents from real engagements — free, in exchange for an email. They’re useful whether or not we ever talk.
Generative AI Implementation Runbook Template
Incident, fallback, eval-triage, and rollback sections — the structure we hand over in week four.
Get the template ·Shadow-Mode Exit Criteria Worksheet
The gates that decide when shadow traffic can become production traffic: golden-set pass, permission checks, trace coverage.
Get the worksheet ·