PROPOSAL DRAFTING
Purpose
PROPOSAL DRAFTING automates the construction of structured commercial proposals from complex client inputs. Its purpose is to transform fragmented business information into clear, persuasive, and professionally formatted proposal documents.
Primary users
The primary users are internal Sia employees working within the GROUP team or business unit. The agent is intended for internal use when employees need support turning client-related information into commercial proposal content.
Where it fits (process/stage/trigger)
This agent fits into the proposal preparation process when complex or fragmented client inputs need to be centralized, reviewed, and converted into a structured commercial proposal. It can be triggered when proposal assets, client context, or related business information are available for drafting.
Key capabilities / workflow
The workflow starts by extracting and organizing client inputs, then checks whether the available information is complete enough to structure proposal content. If information is incomplete, the workflow loops back to input extraction; if complete, it structures the proposal, validates the content, and generates the final deliverable.
Inputs
Typical inputs include uploaded resilience assets such as crisis plans, BIA, cyber-insurance policies, risk maps, and communication playbooks, as well as real-time incident intelligence. The provided information also mentions centralization in a secure AI-ready workspace serving as a single source of truth.
Outputs / Deliverables
Expected outputs include structured commercial proposal documents as described in the use case. The provided output information also mentions emergency actions, decision support, reporting, communication templates, natural-language Q&A, a traceable crisis log, and a step-by-step guided timeline.
Value
PROPOSAL DRAFTING helps internal teams convert fragmented and complex information into clearer, more persuasive proposal materials. It supports efficiency, consistency, and professional formatting in commercial proposal preparation while relying on the information explicitly provided by users.
