AI Agency RFP Template: A Complete Request for Proposal with Section-by-Section Guidance

Most AI agency RFPs are bad. They're either vague to the point of uselessness ("we need AI to improve our operations") or so technically prescriptive that they constrain the agency from proposing the right solution. Here's a template that finds the middle ground: specific enough to get comparable proposals, open enough to let agencies propose the best approach.

Copy this template and adapt it. The guidance in brackets explains what you're trying to accomplish with each section.

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RFP TEMPLATE: AI AGENCY SERVICES

RFP Reference: [Your company name] - AI [Project Type] RFP

Issue Date: [Date]

Proposal Due: [Date — typically 2–3 weeks from issue]

Decision Expected: [Date]

Contact: [Name, title, email, phone]

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SECTION 1: ORGANIZATION OVERVIEW

[Purpose: Give agencies the context they need to propose a relevant solution. Be direct about your size, industry, and technical maturity. Don't oversell your data capabilities — agencies will find out during diligence anyway, and misrepresentation wastes everyone's time.]

Company Overview

[Company name] is a [size: employees, revenue range if comfortable disclosing] company in the [industry] sector, based in [location]. We [brief description of what the company does and who it serves].

Current Technology Stack

Our primary systems include:

CRM: [Salesforce / HubSpot / other]
ERP: [SAP / Oracle / other / N/A]
Data infrastructure: [warehouse, if any / primarily spreadsheets / other]
Cloud environment: [AWS / GCP / Azure / on-premise / hybrid]
Relevant SaaS tools: [List tools relevant to the AI project]

Data Maturity

[Be honest here. Options:]

We have structured, clean historical data in [specific system/database] covering [time range] with approximately [X records].
Our data is primarily in [spreadsheets / PDFs / unstructured form] and will require cleaning and preparation.
We have limited historical data and would need to discuss data collection strategies with vendors.

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SECTION 2: PROJECT OVERVIEW AND OBJECTIVES

[Purpose: Describe the problem you're solving, not the solution you've pre-decided on. Good agencies will often propose approaches you haven't considered. Describing a problem gives them room to do that. Describing a solution locks them into executing your idea rather than their best idea.]

Business Context

[Describe the business situation that makes this project necessary. What's happening today, why is it a problem, and what would change if it were solved?]

Example: *Our customer support team currently handles approximately 3,000 inbound tickets per week. Response time averages 18 hours, against a target of 4 hours. 60% of tickets fall into five recurring categories that are handled identically each time. The remaining 40% require human judgment. We want to automate resolution of the 60% and route the 40% to the appropriate specialist immediately.*

Primary Objectives

The successful AI implementation will:

[Specific, measurable objective #1]
[Specific, measurable objective #2]
[Specific, measurable objective #3]

Success Metrics

We will evaluate this project's success by measuring:

[Metric 1 and target]: e.g., Reduce average ticket response time to under 4 hours
[Metric 2 and target]: e.g., Automate resolution of at least 50% of tickets without human intervention
[Metric 3 and target]: e.g., Maintain customer satisfaction score above current baseline of 4.2/5.0

Out of Scope

This project does not include: [List adjacent items that are deliberately excluded to prevent scope creep]

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SECTION 3: FUNCTIONAL REQUIREMENTS

[Purpose: Describe what the system needs to do in plain language. Technical requirements belong in the next section. Functional requirements describe user and business behavior, not implementation details.]

Core Functionality

The solution must:

[Functional requirement 1]
[Functional requirement 2]
[Functional requirement 3]

Integration Requirements

The solution must integrate with:

[System name]: [nature of integration — read-only, read/write, real-time vs. batch]
[System name]: [same]

User-Facing Requirements

[If the system will be used directly by employees or customers, describe the interaction model. Who uses it? How? What do they need to see and do?]

Volume and Scale Requirements

Current volume: [X transactions/records/requests per day/week]
Projected growth: [% growth expected over 1-2 years]
Peak load: [Maximum volume during peak periods]
Latency requirements: [Response time expectations if real-time is required]

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SECTION 4: TECHNICAL REQUIREMENTS

[Purpose: Specify any hard constraints on technology stack, data residency, security, or deployment environment. Leave room for agency recommendation on architecture — you're defining constraints, not the solution.]

Data Requirements

Data location: [Where data currently lives, where it must remain]
Data volume: [Approximate size of training data or operational data]
Data sensitivity: [PII, PHI, financial, proprietary — affects security and compliance requirements]

Deployment Requirements

Environment: [Cloud-hosted by agency / deployed to our cloud environment / on-premise]
Cloud preference or requirement: [AWS / GCP / Azure / no preference]
On-premise requirement: [Yes / No / Negotiable]

Security and Compliance

Required certifications and compliance:

[SOC 2 Type II / ISO 27001 / HIPAA / GDPR / CCPA / other]

Data handling requirements:

[Training data must not leave US jurisdiction / model must be deployed within our VPC / other]

Existing Technology Constraints

[List any technologies you are committed to that the agency must work with or around]

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SECTION 5: PROJECT STRUCTURE AND TIMELINE

[Purpose: Communicate your timeline expectations and structure preferences. Include milestones, not just an end date.]

Target Timeline

Project kickoff: [Target date]
Milestone 1 (requirements and data assessment complete): [Target date]
Milestone 2 (proof of concept / working prototype): [Target date]
Milestone 3 (testing and validation complete): [Target date]
Production launch: [Target date]
Post-launch support period: [Length]

Your Engagement Expectations

We will provide:

A dedicated project contact who can make decisions
Access to [relevant team members — subject matter experts, IT, data owners] for requirements and testing
[X hours/week of stakeholder time for reviews and feedback]

We expect the agency to provide:

A dedicated project manager
Regular status updates [weekly / bi-weekly]
A defined escalation path for issues
Documentation of all systems delivered

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SECTION 6: BUDGET

[This section is contentious. Agencies with a disclosed budget can right-size their proposals. Agencies without one will guess, often over or under. Strong recommendation: disclose at least a range. It saves time for everyone and gets you better proposals.]

Budget Range

Our approved budget for this project is [$X–$Y], inclusive of all fees. [If there are specific phases that have separate budgets, describe them here.]

We understand this range may require scope trade-offs. We welcome proposals that describe a full-scope engagement as well as a phased approach that delivers core value within a tighter budget.

Payment Structure

[Our standard approach is milestone-based payment. We are open to agency proposals on payment structure. We do not pay 100% upfront.]

Ongoing Costs

Please itemize any ongoing costs (hosting, model inference fees, support retainers, retraining) separately from project delivery costs.

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SECTION 7: PROPOSAL REQUIREMENTS

[Purpose: Tell agencies exactly what you want in their proposals so you can compare them on the same dimensions.]

Proposals should include the following sections:

7.1 Understanding of Requirements

Describe in your own words what we are asking for and any assumptions you are making. This section reveals how carefully you read the RFP and how well you understand the problem.

7.2 Proposed Approach

Describe your proposed technical approach, including:

Architecture overview (model type, data pipeline design, integration approach)
Data requirements and any data preparation work included
Key technical decisions and the rationale behind them
What alternatives you considered and why you chose this approach

7.3 Project Plan

Provide a detailed project plan with:

Named milestones and deliverables for each
Timeline with dates
Dependencies and risks
Your assumptions about what we will provide

7.4 Team

Identify the specific people who will work on this project:

Project manager: name, background, relevant experience
Technical lead(s): name(s), background, relevant experience
Supporting staff: roles and involvement

Do not describe the company's capabilities. Describe the specific individuals.

7.5 Relevant Experience

Provide 2–3 case studies directly relevant to this project, including:

Client description (anonymized if required)
Business problem solved
Technical approach used
Measurable results achieved
Reference contact willing to speak with us

7.6 Proposed Deliverables

List exactly what you will deliver at the end of the project. What will we have that we don't have today?

7.7 Pricing

Provide:

Total project cost with breakdown by phase or milestone
Any hourly rates that apply to out-of-scope work
Ongoing costs itemized separately
Payment schedule recommendation

7.8 IP and Ownership

Describe your standard terms for:

Ownership of trained models and weights
Ownership of custom code developed during the engagement
Third-party tools or licenses included in the work

7.9 Warranties and Support

Describe your post-delivery support offering, including what is included in the project price vs. billed separately.

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SECTION 8: EVALUATION CRITERIA

[Be transparent about how you'll evaluate proposals. This sets expectations and gets you better proposals.]

We will evaluate proposals on:

| Criterion | Weight |

|-----------|--------|

| Technical approach quality and relevance | 30% |

| Relevant experience and case studies | 25% |

| Team qualifications | 20% |

| Price and value | 15% |

| Timeline feasibility | 10% |

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SECTION 9: PROCESS AND TERMS

Questions and Clarifications

All questions must be submitted in writing to [contact email] by [date]. We will distribute all questions and answers to all participating agencies.

Proposal Submission

Submit proposals by [date and time, including timezone] to [email or submission portal]. Late submissions will not be evaluated.

Presentations

Shortlisted agencies (typically 2–3) will be invited to present their proposals on [target date range]. Presentations should include a technical deep-dive of approximately 45 minutes plus 30 minutes for questions.

Selection Timeline

Proposals due: [Date]
Shortlist notification: [Date]
Agency presentations: [Date range]
Decision communicated: [Date]

Standard Terms

This RFP does not constitute a commitment to award a contract.
We reserve the right to reject any or all proposals.
All proposal materials become our property upon submission.
We may negotiate with more than one agency simultaneously.

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HOW TO USE THIS TEMPLATE

A few additional notes on running this process well:

Send to 3–5 agencies, not 10+. An RFP sent to 10 agencies signals to each of them that they have a low chance of winning, which means you'll get less effort on proposals. Three to five is the right range for a genuine evaluation.

Brief agencies before they respond. A 30-minute call where shortlisted agencies can ask questions produces better proposals than a written Q&A alone. Ask each agency the same clarifying questions to calibrate their understanding of the problem.

Evaluate the proposal process as the project. How an agency manages their RFP response — clarity, organization, response to questions, timeliness — is a preview of how they'll manage your project.

Reference calls before final decision. The aiagencymap.com directory can help you find qualified candidates to invite. But always check references before signing. The proposal tells you what the agency wants you to believe; the reference tells you what actually happened.

Use the how-to-choose guide at aiagencymap.com for additional evaluation frameworks once proposals are in hand.