TandemoraSoftware
ROBook a fit call
03

Delivery / Paid evidence gates

Commit in stages. Keep the destination intact.

We own the end-to-end result while separating unknowns from promises. Each phase produces usable outputs and an explicit decision to continue, change direction, or stop.

Discovery → Pilot → Production → Handover
01

Frame

Name the buyer decision, system boundary, representative data, integration surface, and riskiest assumption.

  • Decision and workflow map
  • Data and access assessment
  • Architecture options
  • Pilot scope and estimate
Is the problem valuable and testable?
02

Prove

Test the risk against representative inputs with baselines, measurable acceptance, and visible failure cases.

  • Evaluation dataset
  • Baseline comparison
  • Usable prototype
  • Production gap analysis
Does the evidence justify production?
03

Build

Engineer the complete workflow: application, model, data, cloud, security, observability, and recovery.

  • Production implementation
  • Automated validation
  • Deployment and rollback
  • Operational documentation
Does the system meet acceptance and ownership?
04

Operate or transfer

Stabilize the launch, train the owner, and choose handover, advisory, or agreed business-hours support.

  • Launch and warranty
  • Training and handover
  • Monitoring review
  • Optional support plan
Who owns each production responsibility?

Working rules

No hidden team. No hidden unknowns.

  1. 01The technical owners join the first fit call.
  2. 02Unknown AI outcomes become paid evidence, not free guarantees.
  3. 03Scope changes are visible before cost changes.
  4. 04Sensitive data stays in the client environment when practical.
  5. 05Support windows match real capacity and system criticality.