Saphan

AI ALREADY IN PLACE / AI RELIABILITY & MODEL MIGRATION

Your AI works.
What happens when it changes?

An agent stops in the middle of a task. A new model loses an important instruction. Corrections take longer than expected. Saphan can step in on an existing system to understand what is blocking and prepare a controlled evolution.

Present an existing system ↗Choose a starting point ↓

AGENTS / STOP & RESUME

Resume a task.
Without repeating an action.

Example situation: an agent prepares an order, saves it, then loses its connection. Before restarting, you need to know what has already been done, what remains to be done and who can approve it.

Permissions, traces and recovery →
  • The proposed workReconstruct a flow, examine the access and test an interruption in an authorized environment.
  • What you receiveThe cases reproduced, the gaps found and a recovery procedure tested on the agreed scope.
  • The frameworkNo sensitive action in production without approval. Corrections and their deployment are defined in the quote.
Describe the blockage ↗

MODELS / CONTEXT & PORTABILITY

Change the model.
Preserve the work around it.

The model is only one part of the system. Documents, references, instructions, access rights and connections must be examined separately. A migration starts by identifying what can be exported and what must be adapted.

Compare before switching over →
  • The proposed workList the dependencies, compare two configurations on the same tasks and prepare the return to the previous configuration.
  • What you receiveAn inventory, the gaps observed and a switchover scenario with its acceptance conditions.
  • The frameworkWhat is possible depends on the files that can be exported, the connections offered by the software (APIs) and the licenses available. Full preservation of the history or of a proprietary memory is not assumed.
Prepare a change ↗

OPERATIONS / COST PER ACCEPTED RESULT

Count finished work,
not just AI calls.

A usable record, a verified case, a request routed correctly: the result to count is defined with your team. The model calls, the rework, the human review and the infrastructure then enter the comparison.

Understand the full cost of an agent →
  • The proposed workObserve a representative sample and compare the current workflow with an improvement option.
  • What you receiveAn explainable calculation, the cost items and the assumptions that remain to be measured.
  • The frameworkNo percentage of savings is promised in advance. A small sample is not worth an annual projection without explicit assumptions.
Examine a usage cost ↗

A first scope, with your team.

Start with one flow and data that can be shared. The quote sets the access, the deliverables, the authorized tests and the people who approve. The examples above describe possible interventions, not client results already achieved.

Is your need long-term? A recurring engineering capacity can also support the system’s evolution and the handover to the team.

Budget guidelines →Support over twelve months →What a model does not back up →