3-2-1 GO
AI in production.
Deployed in four weeks.
2 functional prototypes.
1 MVP deployed to real users.
One 4-week sprint. Guaranteed outcomes.
Snowflake Elite Partner · 7× Snowflake Partner of the Year · Anthropic Preferred Partner
Business days to first working prototype
Maximum client ROI documented
From kickoff to deployed MVP
Estimated LTV unlocked, single engagement
What's broken
AI is moving fast. Most enterprises are stuck.
Deploying AI tools is the easy part. Getting them to change how work actually happens is a different problem entirely.
Tools ≠Transformation
Legacy roles don’t evolve by handing them a chatbot, and teams are still getting blocked by fragmented data, permission walls, and unclear requirements.
One bet at a time
High expectations, high execution risk. Most companies pick one use case at a time, which is too narrow, too slow, and too dependent on guessing right.
Uneven adoption
A few thrive. Most lag. Power users get real lift while everyone else falls behind, and no one will build the agent that makes their own role obsolete.
how we fix it
3-2-1 GO: Forward Deployed Engineering
phData embeds a dedicated engineering team directly in your environment. They move fast because they don’t start from scratch. They bring phData Forgeâ„¢, a library of pre-built accelerators for data pipelines, semantic layers, and AI agents.
3-2-1 GO is the fastest way to start: three use cases evaluated, one in production, guaranteed outcome.
3
Refined use cases
Our Catalyst Assessment Framework analyzes your business, competitors, and workflows to identify and prioritize opportunities. We then work with stakeholders to narrow them to the top three highest-impact use cases.
2
Functional prototypes
Working software built in days per prototype using Claude Code. You get real evidence before you commit to production.
1
MVP in production
The prototype with the strongest business case ships as an AI in production MVP, deployed to real users, with measurable outcomes.
See it in action
This is what AI use case discovery looks like
The Catalyst Assessment Framework surfaces your top opportunities in a structured, interactive experience.Â
Browse and select from a prioritized portfolio of AI use cases, ranked by impact, effort, and fit for your business.
How it works
From kickoff to deployed AI in four weeks
Discover
Our Catalyst engineer runs an Assessment Framework against your business context, org data, and competitive landscape. See a prioritized portfolio of use cases in 48 hours.
Refine
We validate and refine the top candidates with your team. Effort, value, and urgency estimates tighten. You choose the three to advance.
Prototype
Our Vector engineer builds two functional prototypes using Claude Code. Each ships in 1-2 days. You see real evidence before committing.
Deploy
The winning prototype gets built to production and deployed to your users. KPIs are set and ownership is handed off.
phData FDE + Intelligence System
The system compounds from delivered use cases
FDE teams deliver immediate outcomes while building your platform through reusable patterns, stopping shadow IT without the upfront build.
Governance & TCO
Unified platform, repeatable patterns, controlled spend. Minimized shadow IT and point-tool sprawl.
Compounding value
Every use case makes the next one cheaper and faster. The platform radiates out to the business.
Fast outcomes
Use cases shipped in weeks, not quarters. No waiting on a platform build to get to value.
Why 3-2-1 Go Works
Built to de-risk AI delivery
engineering velocity
AI-enabled engineers using phData Forge and Cortex Code iterate directly with business users. Functional prototypes ship in 1-2 days, versus the 2-4 weeks typical of traditional delivery teams.
before commitment
Two working prototypes give leadership concrete proof before committing to AI in production. Clients take more ambitious AI bets because each decision is backed by working software.
Customer stories
What 3-2-1 GO looks like in practice
Clinical trial protocol automation
Converting a paper protocol to Veeva EDC was the last manual blocker before a clinical trial could start. Five Excel macros and multiple handoffs were replaced with a single guided web application that cut the process from 20 business days to two.
20 to 2
business days
$16M
 est. additional LTV
Student engagement platform
The team shaped the daily experience of over 200,000 students. Deliverables included assignment recommendations, a Year Wrapped engagement feature, student funneling to tutoring platforms, and agentic workflow optimizations across departments, all within a single FDE engagement.
200k+
students impacted daily
4
use cases shipped
Sales conversation analytics
A working prototype in 3.5 business days that answers the questions that close deals: what objections precede failed bookings, which transfer triggers yield the highest close rates, and where leads drop out of the scheduling flow.
3.5
days to prototype
3
critical questions answered
Automated P&ID data extraction and classification
phData built an AI-powered framework to extract and classify data from complex piping and instrumentation diagrams, replacing hours of manual review. Service offering cost dropped 25%, and the higher accuracy became a competitive selling point that closed more contracts.
25%
service cost reduction
Frequently asked questions
What is the Catalyst Assessment Framework?
The Catalyst Assessment Framework is phData’s proprietary methodology for AI use case prioritization and discovery. It analyzes your business context and workflows to output a prioritized portfolio of opportunities, compressing months of consulting discovery into just 48 hours.
How long does it take to go from AI use case selection to a deployed MVP?
With the phData Forward Deployed Engineering model, the path from kickoff to a production MVP runs in four weeks, which includes using the Catalyst Assessment Framework and stakeholder alignment. Functional prototypes ship in 1-2 days using Claude Code, ensuring rapid enterprise AI deployment services.
What makes phData's AI use case prioritization different from other consultancies?
Unlike other consultancies that only deliver a report, 3-2-1 Go delivers working software in the same engagement, taking a use case from an idea to an AI in production MVP in four weeks. A two-person Forward Deployed Engineering (FDE) pod uses the Catalyst Assessment Framework to rapidly identify and rank use cases and builds functional prototypes in 1-2 days.
Discover your AI use cases fast
Request a demo
Tell us about your business and we’ll run our Catalyst Assessment Framework against your context. We’ll identify your top AI use cases before you commit to anything.
