Support LLM pilot

Fine-tune one support model, then prove where it helps.

Guarded AI support workflow with an input queue, business rules, AI drafting, and human approval

For support teams with buyer-authorized history, a defined use case, and acceptance questions. TinyOps compares a retrieval baseline with parameter-efficient fine-tuning before handing over one deployment-ready pilot.

Buy the $4,500 Pilot Book on Rework Pay $2,500 Kickoff Deposit Inspect the Evaluation Harness Ask Before Booking

$4,500 total $2,500 deposit option 2-4 weeks One revision Open-source evaluation proof

Delivery plan

Keep the pilot bounded, measurable, and ready to hand off.

Step 1

Prepare safely

Confirm data rights, mask sensitive fields, document the sample schema, and define the first support use case.

Step 2

Compare approaches

Measure a retrieval baseline against PEFT fine-tuning with held-out product, refusal, voice, and escalation questions.

Step 3

Ship the handoff

Deliver inference code, one support-system adapter, failure handling, operating notes, and a concise runbook.

Scope boundaries

What the fixed price covers.

IncludedOne corpus and base modelOne approved pilot corpus, one client-approved open-source base model, and one integration.

Deposit option$2,500 to startThe remaining $2,000 balance is due before the deployment adapter and final runbook are delivered.

Buyer controlledCompute and hostingTraining compute, model hosting, and vendor charges remain in the buyer's environment and accounts.

Separate scopeOngoing operationLarge labeling programs, custom front ends, additional integrations, and ongoing operation are quoted separately.

Ready to test one use case

Book the fixed-scope pilot or send the intake first.

Buy for $4,500 Book on Rework Pay $2,500 Deposit Ask Before Booking