SOUTHPAW / TECHNOLOGY

DATA · TECHNOLOGY · AI

Make the
next move matter.

A clear-eyed partner for turning data and AI ambition into decisions, platforms, and business outcomes.

Explore what’s possible Meet Rich Deken

Independent perspective. Practical momentum.

STRATEGY THAT MEETS THE REAL WORLD ↓ INDEPENDENT PERSPECTIVE · GROUNDED IN BUSINESS VALUE
01THE OPPORTUNITY

Less theater.
More traction.

The hard part isn’t getting excited about AI. It’s knowing where to start, what to build on, and how to make it matter.

Southpaw Technology brings strategy and technology into the same conversation. From the first question to the platform decisions behind it, the focus stays on solving real problems—not chasing the loudest trend.

See where we can make a difference
02WHERE WE FOCUS

Good strategy gives the next step somewhere to go.

01 / STRATEGY

Find the
valuable question.

Shape an AI and data agenda around the outcomes that matter. Prioritize use cases, test assumptions, and give teams a credible path from ambition to action.

AI strategy · Use-case discovery · Roadmaps
02 / DATA FOUNDATIONS

Make data
work harder.

Connect architecture, analytics, and governance to the people who rely on them—so trusted data can support better decisions and AI that’s ready for the real world.

Modern data platforms · Analytics · Governance
03 / GO TO MARKET

Get good ideas
into the field.

Bridge product capability and customer value. Clarify the story, map the buyer journey, and plan distribution through AWS Marketplace, Microsoft commercial marketplace, and Google Cloud Marketplace.

Product positioning · Cloud marketplaces · GTM
03THE TECHNOLOGY LANDSCAPE

Fluent across the
modern data stack.

Technology is a means, not the strategy. These are some of the platforms and AI ecosystems in the conversation.

DATA & ANALYTICS
DatabricksSnowflakeMicrosoft FabricPower BIClickHouseNeo4j
AI MODEL ECOSYSTEMS
AAnthropicClaude
OOpenAIGPT
GGoogleGemini

The right model depends on the task, the context, and the constraints. The answer starts with the problem—not a favorite vendor.

● Platform experience grounded in business context—not just feature lists.
04POINT OF VIEW

Good questions
beat easy answers.

AI is moving quickly. Clear thinking is still an advantage.

01 — THE STRATEGY

Start with the work.
Then bring in AI.

Technology-first experiments are easy to launch and hard to scale. Begin with the decision, workflow, or customer moment worth improving. Then choose the smallest useful application of AI.

A principle for building with intention
02 — THE DATA

AI quality has a data story.

Better models can help. But trustworthy answers depend on relevant, well-understood data—and the systems and people around it.

A principle for building trust
03 — THE ADOPTION

Shipping is not the finish line.

Value shows up when a solution fits real work. Adoption, feedback, and a way to measure impact belong in the plan from day one.

A principle for making change stick

These are working principles, not predictions. The best answer depends on the business in front of us.

05LET’S MAKE THE NEXT MOVE

One perspective.
Two ways to work.

FOR TEAMS

Need a thought partner?

Bring a strategy question, a platform decision, or a promising AI idea that needs a practical next step.

Explore a project together
FOR EMPLOYERS

Building what’s next?

For teams shaping AI strategy, advising clients, or bringing data and AI solutions to market, let’s compare notes.

Connect with Rich