Sales

Speeding up RFP and deal prep

AI is used to cross-reference RFP requirements, flag gaps, and draft prospect-priority-aligned responses so deal preparation is faster and higher quality.

Why the human is still essential here

The seller remains responsible for validating requirements, refining the response, and ensuring the final submission matches the prospect's needs and deal strategy.

How people use this

RFP requirement matrix

AI reads an RFP, groups questions by theme, and builds a requirement checklist that highlights missing inputs and owners.

Responsive / Loopio

Answer-library first drafts

AI generates draft responses from approved past answers and content libraries so proposal teams do not start from a blank page.

Loopio / Upland Qvidian

Prospect-priority response tailoring

AI rewrites draft answers to emphasize the buyer's stated priorities, industry context, and deal-specific differentiators before submission.

ChatGPT / Claude

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Friday Afternoon Thoughts: I sell AI. So I'd better actually use it.

Friday Afternoon Thoughts: I sell AI. So I'd better actually use it.

Here's what my workflow looks like right now, and why it's changed how I think about the technology I'm selling:


ā–Ŗļø Research that used to take hours takes minutes.

I'm using agentic AI tools to map buying groups, pull CX-relevant quotes from earnings calls, and build talk tracks for each persona, before I ever open a deck.


ā–Ŗļø RFP and deal prep is faster and sharper.

Instead of starting from scratch, I'm using AI to cross-reference requirements, flag gaps, and draft responses that actually speak to the prospect's priorities. The quality of what goes out the door has gone up noticeably.


ā–Ŗļø The bigger shift? How I think about what I'm selling.

Every week I'm seeing new proof points that voice AI isn't a "nice to have" anymore. It's becoming the operating system for how enterprises run customer experience, handling containment, routing, agent assistance, and revenue-aligned use cases in one connected layer.


Huawei just launched a full AICC platform at MWC. Google is training models that update their beliefs mid-session. The underlying tech is moving fast, and the gap between companies that treat this as a chatbot pilot versus a CX transformation is getting wider.


At NiCE, this isn't just something we talk about externally. Scott Russell and our leadership team are driving a genuine AI First motion from the top down, and it shows in how we go to market, how we build, and honestly, how I show up to every customer conversation.


Pairing that vision with what NiCE Cognigy actually delivers in the contact center makes it a lot easier to walk in and have a real transformation conversation, not just a product demo.


For me, using AI daily isn't just a productivity hack. It makes me a better conversation partner for the customers I work with.


Curious...if you're in enterprise sales or CX: what tools or workflows have actually moved the needle for you?


Drop it in the comments.

GD
George Downey IVSenior AI Consultant at NiCE Cognigy
Mar 20, 2026