New · BankingSales
RFP answers, drafted. Cited to what already won.
The pattern behind a regulated bank's RFP turnaround: an anonymized reference architecture, drafted answers pulled from a reusable requirement library, and every draft cited back to a prior approved response. Built for correspondent banking desks and vendor-risk teams answering RFPs and DDQs every week.
1,200+ requirement library entries. Built on Sphere AI Foundry.
rfp_response — RFP #2026-0447, correspondent bankingLIVE
00:00Parse → 214-line requirement grid, Nostro/Vostro RFPread
00:05Match §3.2 AML controls → prior answer, Tier-1 GCC bank, 2025matched
00:09Draft §5.1 uptime SLA → no library match, drafted from policyflagged
00:13Anonymize reference deal → institution name and terms strippedpassed
00:15Compile → 214/214 requirements drafted, 9 flagged for reviewsealed
draft time 15 minrequirements cited 214/214human sign-off required
Built on Sphere AI Foundry·Proven in regulated banking·21 years, 300+ clients
Every RFP starts from a blank page it shouldn't
A correspondent banking RFP or vendor DDQ runs 150 to 400 line items, and most of those questions were already answered — for a different institution, six months ago, by someone who has since moved teams. Proposal leads spend the first two days of every cycle hunting through old submissions, Slack threads, and shared drives for language that already cleared legal and compliance, instead of drafting the handful of questions that are actually new.
89%
faster first draft vs. a manual RFP response
1,200+
reusable answers in the requirement library
100%
of drafted answers cited to a source or prior approval
Requirement in, cited draft out
Four steps, every one logged and citable back to a requirement, a policy, or a prior approved answer.
01
Parse
Reads the RFP grid the way it actually arrives
Excel requirement matrices, Word narrative RFPs, and portal-based DDQs from Ariba, Coupa, or a correspondent bank's own vendor-risk platform — parsed into individual, trackable requirement lines, not a single flattened document.
Source document
RFP #2026-0447 — Nostro/Vostro Correspondent Banking
02
Match & draft
Every question checked against the requirement library first
Each line is matched against the reusable requirement library before anything is drafted from scratch — reusing approved language wherever a prior answer applies, and drafting new language only where no match exists.
Example query
"Describe your AML transaction-monitoring controls for correspondent accounts."
03
Anonymize & cite
Reference deals, stripped before they're reused
Where a drafted answer draws on a past engagement, the institution name, deal terms, and any identifying detail are stripped before the pattern enters the library — the citation points to an anonymized reference architecture, not a client file.
Cited answer
Settlement architecture supports same-day SWIFT gpi tracking with a 99.95% monthly uptime SLA.
cited to reference architecture, Tier-1 GCC deployment (anonymized)04
Flag & route
New or ambiguous questions routed to the right reviewer
Requirements with no library match, or that touch pricing, legal terms, or a regulatory position, are flagged and routed to the named subject-matter reviewer for sign-off before the draft is finalized.
Draft status
Matched — 178Drafted new — 27 ✓Flagged for review — 9
10 fields, every one cited
What the agent produces for every RFP or DDQ it drafts.
Requirement-by-requirement draft grid
Library match confidence per line
Anonymized reference architecture citation
Flagged-for-review list with owner assignment
Compliance and AML control narrative
Security and data-residency responses
Operational-resilience and SLA answers
Updated requirement library entries
Pricing and commercial-terms placeholder flags
Export-ready response document
Typical inputs
What the agent reads, and what it connects to.
Documents
- RFP requirement matrix or narrative RFP document
- Vendor and third-party risk DDQ or security questionnaire
- Prior approved RFP responses and win/loss archive
- Internal policy library (AML, information security, business continuity)
- Product and pricing sheets with current approved language
Systems
- Proposal management platform
- Procurement portals (Ariba, Coupa, and correspondent-bank vendor portals)
- CRM for deal and opportunity context
- Policy and compliance document repository
Is this the right fit?
Built for repeat volume — not a one-off proposal.
✓ Works best for
- Correspondent banking and vendor-risk teams answering 10+ RFPs or DDQs a quarter
- Banks standardizing responses on an approved requirement library
- Proposal desks wanting every draft traceable to a prior approval
Too small for
- A single one-off RFP a proposal writer can turn around faster than building out the library
- Replacing legal, pricing, or final commercial sign-off
- Highly bespoke sovereign or one-time tenders with no reusable requirement pattern
Grounded in what was actually approved, not a black box
Compliance-first, the same standard every Sphere agent is held to.
The agent will not submit a draft on its own — every response sits between the requirement grid and a proposal lead's final review, never past it. A named subject-matter reviewer confirms every flagged, pricing-related, or newly drafted answer before it enters the submitted document.
Reference architectures cited in a draft are anonymized before they enter the reusable library — see how the same governed-reuse standard applies across regulated deployments in Governed AI for Banks and Private LLM Deployment for Banks and Financial Institutions.
Prerequisites requirement library
An initial set of approved answers and policy documents required before the library can return high-confidence matches.
Human review required
A proposal lead or subject-matter reviewer confirms every flagged and newly drafted answer before submission — never fully autonomous.
Regulatory grounding anonymized
Reference architectures cited in a draft are anonymized — institution names and deal terms are stripped before reuse.
Foundation Sphere AI Foundry
Access controls and audit trail configured here carry forward to every other agent you deploy.
Frequently asked
Does the RFP Response Accelerator submit answers on its own?
No. It drafts every answer from your requirement library and prior approved language, but a proposal lead or subject-matter reviewer signs off on each section before it goes into the submitted response.
How does it handle confidential client details when reusing a past answer?
Every reused reference cites an anonymized version of the original engagement — institution names, deal terms, and identifying details are stripped before the pattern enters the reusable requirement library.
What RFP and DDQ formats does it work with?
Correspondent banking RFPs, vendor and third-party risk DDQs, procurement security questionnaires, and RFI response grids in Excel, Word, or web-portal formats such as Ariba and Coupa. Additional formats can be added during onboarding.
Is every drafted answer traceable to where it came from?
Yes. Each drafted answer cites the requirement it responds to and the prior approved answer or policy source it was drawn from — there is no drafted answer without a citation back to its source.
How is this different from a generic proposal-writing tool?
It is built specifically around a bank's reusable requirement library and reference architecture, not a general-purpose writing assistant. It runs on Sphere AI Foundry, so the access controls and audit trail configured here carry forward to other agents you deploy.
Start here
See it on your own RFP
Bring one live RFP or DDQ to the demo. We'll show the drafted output live — matched answers, citations, and the flagged-for-review list, on your own requirement grid.
Looking for a different workflow? Browse the full Agent Catalog.
Talk to a solutions architect
Direct to a senior architect — never a sales queue. Replies within one business day.
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