Proposal & RFP Response — AI Agent Playbook

$695.00

A response draft built from approved answers, with every gap routed to the right owner before submission. One-time company license: $695.

SKU: ENC-AP-04 Category: Product ID: 23284

Description

Build a proposal and RFP response draft from a versioned library of approved answers. The playbook matches structured questions to controlled content, preserves qualifications, marks unsupported or expired answers, and routes every gap to the right owner before submission.

Choose the level of support you need

Option Price What it includes
Digital implementation kit $695 one time Complete Version 2.0 downloadable implementation kit for one named organization.
Guided setup +$1,995 — $2,690 total Two 60-minute sessions, scope and field-map review, one sample-output review, and one consolidated revision. ENC effort is capped at 8 hours.
Custom implementation From $7,500 A scoped configured workflow, testing, human review step, handoff documentation, and training. Request an implementation quote.

Best for

Proposal managers, sales engineers, and sales leaders with one structured question set and an approved answer library that has named content owners.

What this release covers

One questionnaire, an approved topic mapping, a versioned answer library, and an internal review draft. Pricing, legal commitments, negotiation, and final submission remain with authorized people.

What you receive

The Version 2.0 kit includes an editable Word guide and PDF, a measurement scorecard workbook, START HERE instructions, a no-code setup path, a technical build guide, starter n8n nodes and reference scripts, input and output schemas, CSV templates, synthetic examples, and 39 automated acceptance checks.

License and support

One purchase licenses this release to one named organization, its employees, and contracted implementers. Source materials may not be resold, sublicensed, or redistributed. File-access and documented-defect help is included for 30 days.
Business results depend on your data, configuration, review process, and adoption. Examples use synthetic data; no revenue, savings, or performance result is guaranteed.