Reckap IT Solutions and Services
Data team reviewing dataset cards on a wide monitor

DataUpdated 12 min read

Data readiness before an LLM pilot

LLM pilots stall on messy ownership, not model choice. Fix sources, quality, and access before you buy seats.

data readinessLLMgovernancepilotquality

Reckap Team

Reckap Solutions LLC is based at 1209 Mountain Rd Pl NE #6830, Albuquerque, NM 87110, with remote delivery across the US. Local NAP lives on /about and /contact - not on thin street landing pages.

Source map

For each field the LLM needs, name the system of record and the human owner. If two systems disagree, fix that before prompting.

Quality rules

Completeness, freshness, and allowed nulls. Write them down. Pilots that skip quality end up debugging prompts that were really data bugs.

Access and retention

Who can grant access, how logs work, and when pilot data is deleted. That belongs in the charter, not a side chat.

Where Reckap fits

See governance with the same handoff standard we use across IT, AI, and ops work.

  1. Write the decision and success metric
  2. Scope systems, owners, and allowlists
  3. Deliver QA evidence and runbooks
  4. Name the day-two support window

See the service page for scope examples, then book a call if the fit is clear.

View related services

FAQ

How long does readiness take?
Depends on how many systems own the fields you need. A narrow pilot can be weeks; a sprawling data estate is longer and should be phased.
Do you train models on our data?
Only when contracted and controlled. Default is to keep your data in systems you run with explicit permissions.