Custom GPT & Claude Project Builds

Overview

What we deliver

We design and build custom GPTs and Claude Projects that match your voice, follow your processes, and pull from your real business data.

Generic chat assistants get teams excited for a week and then collect dust. We build custom GPTs and Claude Projects that solve specific jobs inside your business, with instructions, knowledge, and tools that match how your team actually works. Our team starts by interviewing the people who will use the assistant, then drafts prompts and structures the knowledge base so answers are accurate and on brand. We add tools and actions that connect to your CRM, knowledge base, or internal APIs, and we set up review workflows so subject matter experts can keep content fresh. We train your team on prompting patterns that get the best out of the assistant, and we measure usage so you can see what is working. The output is an assistant that handles real work, not a demo that lives on a slide.

Fit Check

Built for teams like yours

Who it's for

Sales teams that need a deal coach
Support leaders deflecting common tickets
Marketing teams scaling content with consistency
HR and people teams answering policy questions
Operations leaders standardizing playbooks

Pain points we solve

Generic assistants that miss company context
Inconsistent answers to repeat questions
Stale or scattered internal knowledge
Slow onboarding for new hires
No clear way to measure assistant value

What's included

Capabilities

Everything we cover in this engagement.

User interviews and use case scoping
Custom GPT and Claude Project configuration
Knowledge base curation and structuring
Action and tool integrations with your systems
Brand voice and tone calibration
Review workflows for subject matter experts
User training and prompting playbooks
Usage analytics and quality reviews

How we work

Our process

A clear, predictable path from kickoff to outcomes.

01

Scope

We interview future users and define the jobs the assistant must do well.

02

Build

We configure the assistant, load knowledge, and connect required tools.

03

Test

We run real questions through the assistant and tune until quality meets your bar.

04

Launch

We roll out to users with training and prompting playbooks.

05

Maintain

We set up review cycles and analytics so the assistant stays accurate over time.

What you get

Deliverables & outcomes

What you get

Configured custom GPT or Claude Project
Curated knowledge base with version control
Tool and action integrations
User playbook with example prompts
Review and update workflow
Usage and quality dashboard

Outcomes you can expect

Faster, more consistent answers for common questions
Lower load on subject matter experts
Quicker onboarding for new team members
Higher adoption of internal knowledge
Clear view of assistant value over time

Timeline

Three to six weeks

Engagement

Monthly retainer, Project, Sprint

Tools we use

OpenAI GPTs, Anthropic Claude Projects, Zapier, Make, Notion

KPIs we track

Weekly active users, questions answered, deflection rate, accuracy score, user satisfaction

Client stories

What clients say

"

My books were 90 days behind and I was avoiding my accountant. They cleaned up nine months of mis-categorized Shopify and Stripe entries, set up proper rules in QuickBooks, and now my close lands on day four of every month. First time in three years I opened a P&L without wincing. Cash forecasting actually makes sense now.

D.R.

"

We were paying three agencies and a lifecycle freelancer to argue over attribution. RevoraOps absorbed all of it in 30 days, killed our worst-performing Meta ad sets, and rebuilt the welcome flow from scratch. CAC dropped 31 percent in the first full month. Honestly the relief of having one weekly call instead of four was worth it alone.

Megan W.

Proof