Requirements before prose
Start with the buyer’s requirements, annexes, deadlines and evaluation criteria. A response workflow should show what must be answered before an assistant starts drafting.
Use AI to draft RFP responses without losing the source trail.
Helvabase is designed for AI-assisted RFP work where the answer, evidence, unresolved question and human decision stay connected in one controlled dossier.
What RFP response software should control
Evidence beside every answer
Keep the proposed answer connected to the source, version, owner and caveat that support it. Reusable content is context, not automatic proof of a current commitment.
Review before delivery
Record the decision on the exact response version. Missing evidence, contradictions and unresolved questions should remain visible until a reviewer handles them.
How Helvabase fits the RFP workflow
Your assistant writes
Work with the assistant your team already uses, including Mistral, Claude or Codex. Helvabase is designed to keep the business dossier and its review state around that conversation.
The dossier keeps the trail
Helvabase separates the current request from company knowledge, templates and historical offers, then keeps sources, versions, decisions and open gaps together.
The export is not a submission
A generated file still needs the organisation’s review and submission process. Helvabase does not turn a fluent draft into proof of compliance or approval.
Frequently asked questions
Which AI assistants can be used with Helvabase?
The public workflow is designed around Mistral, Claude and Codex. The exact client capabilities and file-transfer path still need to be validated for each pilot.
Does AI-generated text count as evidence?
No. Generated text is a draft; the response needs an authorised source and human review before it becomes an external commitment.
Can the workflow expose unsupported claims?
The intended workflow keeps missing evidence, caveats and unresolved questions visible so reviewers can correct or block the response.