Grant Street Group nearly doubled its monthly RFP response pace with Inventive AI within 10 days of starting

A government SaaS provider moved 100–150 page RFPs off manual copy-paste in Google Suite and into one AI platform.

Checkmark icon inside a peach-colored circle on a white background.
3 RFPs Completed in 10 Days

Three 100-page government RFPs drafted in a week and a half, nearly double the team's best month.

Checkmark icon inside a peach-colored circle on a white background.
4–5 Person Response Team

A single-user trial grew into a dedicated response team.

Checkmark icon inside a peach-colored circle on a white background.
Redlining Extended to Contracts

Sales engineers now generate contract exception tables for legal review.

Grant Street Group and Inventive AI case study cover

For Grant Street Group, a 500-person company providing payments and tax software to state and county governments, RFPs are the main route to new contracts. Its team was answering 100–150 page government RFPs by copying and revising old answers in Google Suite. With Inventive AI, the team nearly doubled its monthly proposal output within 10 days. This case study is based on conversations with Deanna Briody, Product Leadership (Payments), and Connor Davis, PhD, Sales Engineering, at Grant Street Group.

Impact at a Glance

Grant Street Group impact at a glance: Doubling RFP Pace in Days

About Grant Street Group

Grant Street Group is a 500-person company providing payments and tax software to state and county governments across North America. Its RFP response process is essential to securing major government contracts, so it needs RFP response software for SaaS that can handle 100–150 page public-sector documents. Its pipeline regularly runs up to six concurrent proposals.

The challenge: all manual, every time

Each RFP ran 100 to 150 pages, and the workflow was entirely manual. The team searched past documents in Google Suite, copied old answers and revised them heavily to fit new requirements. With up to 20 contributors drafting at once, duplicate content and bottlenecks were common.

Product leaders wanted to cut this busywork, but a clean copy-and-paste answer almost never fit a nuanced government proposal.

"Once we decide to respond to it, it's basically all manual. We're responding by looking up previous responses, copying and pasting, but then doing a lot of manual revision. I've never come across the question where a clean copy and paste works."
— Deanna Briody, Product Leadership (Payments), Grant Street Group

Why Grant Street Group chose Inventive AI

The team looked at traditional RFP platforms with AI added on top, including Responsive. It needed AI RFP software for long government proposals instead.After internal comparisons, Grant Street Group chose Inventive AI. Managing Director of Payments Dave Deringcalled the technology impressive and novel, and the company moved quickly to implement it.

How the team works in Inventive AI

Grant Street Group sells separate tax and payment products, so it uses the knowledge hub and labels to keep their content apart. Tagged resources stop tax answers from showing up in payment proposals and the other way around.

The product team settled into a rhythm with the platform's chatbot and Revise with AI features, which sped up both finding information and revising drafts. Government clients expect narrative answers, so the team instructed the AI to write flowing narrative sections instead of bullet points.

Next, the team plans to add competitor intelligence to the knowledge hub so it can use Inventive's competitor analysis feature.

Results

Within a week and a half of starting, the team completed three complex RFPs, a practical answer to how to respond to multiple RFPs at once.

"We had three due in the last seven days... So we literally did, like, three RFPs in a week and a half, basically."
— Deanna Briody, Product Leadership (Payments), Grant Street Group

Mock trials during onboarding showed strong results on speed to completion and response quality. The company is already preparing to move past its initial 25-RFP annual plan, and what started as a single-user trial is growing into a dedicated response team of four to five people.

Why Grant Street Group's sales engineers call Inventive AI a game changer

By mid-2026, Grant Street Group's sales engineering team had extended Inventive AI beyond proposals into contract redlining. When evaluating new business, the team redlines sample contracts against standard company terms 90% of the time. It now uses the platform for AI contract redlining, generating accurate contract exception tables for legal review.

Quick support and fast feature releases have made Inventive AI a core tool as Grant Street Group continues to grow across North America.

"A lot of the functionality that you guys have added in the last two or three months has been game changer."
— Connor Davis, PhD, Sales Engineering, Grant Street Group

Take on more government RFPs with the same team with Inventive AI

Inventive AI helps SaaS and technology teams respond to long, complex RFPs with accurate, cited answers from approved content.

Book a demo to see how Inventive AI handles RFPs like Grant Street Group's.

Frequently Asked Questions

Is Inventive AI a Responsive alternative for government RFPs?

Yes. Grant Street Group compared Responsive and other platforms with add-on AI before choosing Inventive AI for its 100–150 page government proposals.

What's the difference between AI-native RFP software and legacy tools with AI added?

Legacy tools were built around a Q&A library, with AI added later to search or rewrite stored answers. AI-native platforms draft from the full set of company documents and the RFP itself, so answers fit the specific question instead of recycling an old one.

What is a contract exception table?

It's a list of every clause in a customer's contract that differs from a vendor's standard terms, with the proposed change for each. Legal teams use it to review deviations quickly instead of reading the full contract line by line.

How do you keep answers for different product lines separate in RFP software?

Tag each source document by product line and point each RFP at the right tags. The AI then drafts only from that product's content, so details from one product don't leak into another product's proposal.

How do you respond to multiple RFPs at the same time?

Draft every RFP from the same tagged knowledge base so each one starts from approved content, then spend team time on review instead of searching. Grant Street Group ran three overlapping government RFPs this way in about 10 days.

Can AI handle long-form government proposals of 100+ pages?

Yes, if it can be told how to write. Government evaluators often expect narrative sections, so the AI needs structure and tone instructions plus labeled sources that keep different products’ content apart.

Can RFP software also help with contract review?

Some can. Inventive AI can compare a customer’s sample contract against standard company terms and produce an exception table for legal to review.