Problem
What is the concrete mess: evidence, workflow, vendor, AI pilot, RAG corpus, agent idea, model, or decision?
Client fit screen
Tell SignalForge what is stuck.
Start with the primary problem in plain language. You do not need perfect wording, clean data, or a finished AI strategy.
Primary problem
What to include.
Desired state
What decision should become easier, faster, safer, or more defensible?
Evidence sources
What artifacts matter: ELNs, SOPs, omics outputs, SharePoint folders, vendor decks, logs, protocols, patents, publications, or memos?
Constraints
What access, sensitivity, validation, legal, quality, clinical, compliance, or ownership boundaries should be respected?
Before sending materials
Begin with sanitized context.
Please withhold confidential, proprietary, regulated, patient, clinical, quality, legally privileged, or commercially sensitive information until scope, access, retention, and review terms have been agreed in writing. A first pass typically works from sanitized excerpts, workflow descriptions, metadata snippets, screenshots, schema fragments, or non sensitive summaries.
SignalForge is advisory and does not stand in for regulated validation, legal counsel, clinical authority, quality signoff, or compliance approval.
Structured start
Or send the screen as a structured email.
The useful starting point is the problem, the desired state, the evidence involved, the decision pressure, and any access or sensitivity constraints.
Not every request is a fit
SignalForge will say no when the work is not aligned.
SignalForge is not designed for commodity implementation, generic dashboarding, staff augmentation, chatbot setup, or open ended AI exploration without a decision owner. It also does not replace regulated validation, legal advice, clinical judgment, quality authority, or compliance approval.