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Group Sales Manager

Responding to RFPs and creating proposals

Enhances✓ Available Now

What You Do Today

Review incoming RFPs, assess fit, build proposals that showcase the property, present competitive pricing, and differentiate your venue from the twenty others the planner is considering.

AI That Applies

AI auto-generates proposal drafts from RFP requirements, populates property information and floor plans, suggests competitive pricing based on displacement analysis and market data.

Technologies

How It Works

The system ingests RFP requirements as its primary data source. The automation engine executes each step in the process sequence — validating inputs, applying business rules, generating outputs, and routing exceptions to human review queues. The output — proposal drafts from RFP requirements — surfaces in the existing workflow where the practitioner can review and act on it.

What Changes

Proposals go out faster with more polished formatting. AI handles the template work so you focus on the custom touches that win the deal.

What Stays

The personal cover letter, the creative touches, and the site visit invitation that makes the planner feel valued — that's your craft.

What To Do Next

This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for responding to rfps and creating proposals, understand your current state.

Map your current process: Document how responding to rfps and creating proposals works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: The personal cover letter, the creative touches, and the site visit invitation that makes the planner feel valued — that's your craft. These are the boundaries AI won't cross.
Assess your data readiness: AI tools for this area need data to work. Check whether your organization has the historical data, integrations, and data quality to support Cvent tools.

Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.

2

Define Your Measures

What to track and how to calculate it

Time per cycle

How to calculate

Measure how long responding to rfps and creating proposals takes end-to-end today, then after AI adoption.

Why it matters

The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.

Quality of output

How to calculate

Track error rates, rework frequency, or stakeholder satisfaction scores before and after.

Why it matters

Speed without quality is just faster mistakes. Measure both.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a KPI. Adoption follows value — if the tool helps, people use it.
3

Start These Conversations

Who to talk to and what to ask

your VP Sales or CRO

What data do we already have that could improve how we handle responding to rfps and creating proposals?

They're evaluating AI tools that will change your workflow

your sales ops or RevOps lead

Who on our team has the deepest experience with responding to rfps and creating proposals, and what tools are they already using?

They manage the CRM and data infrastructure your AI tools depend on

a sales enablement manager

If we brought in AI tools for responding to rfps and creating proposals, what would we measure before and after to know it actually helped?

They're building the training and playbooks around new tools

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.