Claude AI Training for Policy and Research Teams
Practical, hands-on sessions that move your team from having access to Claude to using it confidently as part of how you actually work — with a clear framework for what to share, how to prompt, and where to be careful.
Book a 15-Minute Fit Call
Built for the Way Policy Teams Actually Work
This training is designed specifically for policy professionals, researchers, and leadership teams at mission-driven organizations. Every example, demonstration, and exercise is drawn from the kinds of documents, communications, and workflows your team actually produces — policy briefs, stakeholder communications, research summaries, board materials, and external messaging.
The goal is not to explain what Claude is. It is to make your team faster, sharper, and more consistent with a tool they already have access to — translating that access into genuine, repeatable capability across your organization.
Session Details at a Glance
Every session is structured around your organization's actual work — not a generic AI curriculum. Here is what to expect.
Who This Is For
Policy researchers, analysts, and leadership teams at think tanks, advocacy organizations, and nonprofits already using Claude — or ready to start.
Format
In-person, at your offices in the Washington, DC area. No travel required on your team's part.
Group Size
Typically four to eight participants, designed for leadership and core program teams where focused learning has the greatest organizational impact.
Duration
Two hours (Option A) or three hours (Option B). See the Investment section below for details on what each includes.
Experience Level
Introductory to intermediate — built for teams new to Claude or those who have explored it informally but want to use it with more intention and consistency.
Live Working Example
Share a current report, draft, brief, or active project in advance and it will be incorporated as a live working example during the session.
What We Cover
Six core modules — each grounded in the real output formats and workflows of policy and research organizations.
01
Effective Prompting for Policy and Research Work
How to brief Claude clearly to produce policy briefs, stakeholder communications, congressional materials, board updates, and external messaging that actually reflects your organization's standards and voice — not generic AI output.
02
Training Claude to Work in Your Voice
How to build a persona prompt and Project instructions so Claude writes consistently at the standard your team expects, without re-explaining context every time you open a new conversation.
03
Working With Your Existing Content
How to upload and use your published reports, data summaries, and working documents so Claude can repurpose, summarize, extend, or reformat them for new audiences and purposes.
04
Data Use and Sharing Protocols
A practical three-tier framework covering what is safe to share, what requires care or anonymization, and what should never be inputted — with specific guidance for teams working with proprietary data, economic models, or pre-publication research.
05
Common Pitfalls and How to Avoid Them
Claude's known limitations around factual accuracy, citation reliability, and confident-but-wrong output — demonstrated honestly so your team knows exactly where to apply scrutiny and where to trust the tool.
06
Extended Hands-On Practice (Option B Only)
Sixty additional minutes of structured practice time. Participants work through a real task of their own choosing while the trainer circulates to help. In experience, this is where the most durable learning happens: working on something you actually need, with support available in real time.
What Every Participant Receives
Training does not end when the session does. Every participant leaves with a set of practical, organization-specific resources designed to extend the value of the session into their daily work.
Printed Quick Reference Cheat Sheet
A one-page desk reference covering privacy settings, prompting techniques, the data protocol framework, and a starter prompt library tailored to your organization's output formats.
Custom Prompt Library
A curated set of ready-to-use prompts for the documents and communications your team produces most frequently — built specifically for your organization's work, not a generic template pack.
Follow-Up Resource Document
Sent within 24 hours of the session: every prompt demonstrated during training, plus additional prompts not covered due to time. A living reference as your team builds fluency.
Two Weeks of Post-Session Email Support
Available by email for two weeks following the session to answer questions as your team puts the training into practice — so momentum does not stall after the room clears.
Investment
Two options designed to fit different team needs and schedules. Both include the full set of participant materials and post-session support.

Payment terms: 50% due upon confirmation to reserve your session date; 50% due upon completion. Invoices accepted via check or electronic transfer. Rescheduling: 72 hours notice requested if the session date needs to change.
For teams with ongoing needs — including monthly check-ins, prompt library expansion, or workflow consulting — retainer arrangements are available. Email to discuss.
Who Leads the Training
Training sessions are designed and delivered by the founder of Enpyela, a Washington, DC-based consultant with 15 years of technology and systems experience. Sessions are built around the specific workflows, output formats, and data realities of each client organization — not adapted from a generic curriculum.
Every engagement begins with a brief discovery conversation to understand your team's current use of Claude: what is working, what is frustrating, and what a successful session looks like for your organization. That conversation directly shapes what gets covered in the room.
Enpyela works exclusively with policy, research, and mission-driven organizations — which means every example, every prompt, and every protocol discussed reflects the realities of the work you actually do.
Grounded in Your Work
No generic AI curriculum. No tech-sector examples retooled for nonprofits. Every session is built around your team's actual documents, workflows, and output standards — starting from a discovery conversation before training begins.

Washington, DC Area
In-person sessions at your offices. Built for the organizations doing policy, advocacy, and research work in and around the District.
Data & Privacy
What You Share With AI Tools Matters
For policy and research organizations, the question of what enters an AI system is not a technical detail — it is an organizational risk question. Every training session includes a direct, practical discussion of data protocols: what is safe to input, what requires care or anonymization, and what should never leave your internal systems.
Participants leave with a written framework they can apply immediately and share with colleagues who were not in the room — so the protocols extend beyond the people who attended the session.
Claude's data use policies differ meaningfully by account type. Session preparation includes a review of your team's account configuration to ensure the strongest available protections are in place before training begins — not after.
This is especially relevant for teams working with proprietary economic models, pre-publication research, unreleased survey data, or sensitive stakeholder communications. The training addresses each of these scenarios directly.
How to Move Forward
If this sounds like the right fit for your team, here is exactly what the process looks like — from first conversation to session day.
1
Book a Fit Call
A 15-minute conversation to discuss your team's current Claude setup, your biggest challenges, and whether this session makes sense for your organization.
2
Confirm Your Date
If it is a good fit, confirm your session date and receive an invoice for the 50% deposit to reserve your spot.
3
Receive Prep Materials
Approximately five days before the session, each participant receives a one-page prep document — about 10 minutes to complete, makes the session significantly more productive.
4
Share a Live Example
If you can share a current project, report, or draft in advance, send it along — it will be incorporated as a live working example during the session.
Contact
Get in Touch
AI training sessions for policy, research, and mission-driven organizations in the Washington, DC area.
Questions about whether this session is right for your team? Interested in discussing a retainer arrangement for ongoing support? Reach out directly — every inquiry receives a personal response.
Enpyela
Email: info@enpyela.com
Website: enpyela.com
Location: Washington, DC area — in-person sessions at your offices