AI. Operationalized.

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The challenge

Building with AI is only
the beginning.

A model can perform brilliantly. An agent can complete an impressive demo. A proof of concept can show enormous potential.

But none of those create business value on their own.

That's where RRDS operates.

RRDS Chicago
AI must
  • 01 Work with real data
  • 02 Connect to existing systems
  • 03 Fit into actual workflows
  • 04 Support employees
  • 05 Operate reliably
  • 06 Solve a meaningful business problem
RRDS Approach
Business Problem → AI Opportunity → Working Technology → Measurable Value
Our Approach

Operational AI

RRDS works across the full AI lifecycle — from identifying the right opportunities to building the technology and measuring the business impact. AI isn't the objective. Better business performance is.

01 / FIND

Find

The opportunity
  • Business objectives
  • Use-case identification
  • Data assessment
  • Feasibility & economics
  • Expected value
→
02 / BUILD

Build

The intelligence
  • Predictive models
  • Generative AI
  • Agents & automation
  • Applications & software
  • Data infrastructure
→
03 / OPERATIONALIZE

Operationalize

Put it to work
  • System integration
  • APIs & workflows
  • Controls & governance
  • Employee enablement
  • Production deployment
→
04 / MEASURE

Measure

The value
  • Performance tracking
  • Adoption metrics
  • Business outcomes
  • Economic impact
  • Iteration & improvement
Stage 1
Opportunity
Stage 2
Intelligence
Stage 3
Operations
Stage 4
Value
Where RRDS creates value

The problems
we solve.

01

Automate complex,
knowledge-intensive work

  • Generative AI
  • Agents
  • Workflow automation
02

Make better decisions
with your data

  • Predictive AI
  • Machine learning
  • Advanced analytics
03

Move AI from prototype
to production

  • AI engineering
  • Integration
  • Data infrastructure
04

Determine where to
invest in AI

  • AI strategy
  • Use-case development
  • MOTO Framework
05

Add specialized
AI capabilities

  • Team augmentation
  • Specialized execution
06

Apply AI and analytics to
investment decisions

  • M&A analytics
  • PE analytics
  • Quantitative research
  • Alternative data
The RRDS difference

We speak
both languages.

RRDS combines deep technical expertise with real-world business and operating experience — so we understand the problem and can build the technology required to solve it.

Translation layer STATUS: ACTIVE
Business
  • Revenue
  • Margin
  • Risk
  • Growth
  • Customer
  • Operations
↔ RRDS ↔
Intelligence
  • Prediction
  • Classification
  • Reasoning
  • Generation
  • Optimization
  • Automation
Our differentiators
Business + Technology

Technical expertise meets real-world experience

AI, statistics, machine learning, neural networks, generative AI, agentic systems, software development — paired with direct experience in consulting, financial services, and enterprise analytics.

Strategy to Production

We don't stop at recommendations

From opportunity identification and data assessment through architecture, modeling, engineering, and production deployment — RRDS works across the full lifecycle.

We Build, Not Just Advise

A builder's perspective on every engagement

The team behind RRDS has developed AI products and systems deployed at scale. We bring that same standard to client engagements.

Analytics Translation

From executive objectives to technical solutions

RRDS translates business objectives into technical solutions — and technical capabilities into business outcomes that executives can act on.

Representative outcomes

From
potential to performance.

Illustrative outcomes across client engagements. Specific details are confidential.

Workflow automation
73%

Reduction in manual processing time for a complex knowledge-intensive workflow, using generative AI and intelligent agents.

Financial services
Document→ Extract→ Reason→ Act
Predictive analytics
4.2×

Improvement in forecast accuracy for operational planning, enabling better resource allocation and cost management.

Industrial / Manufacturing
Data→ Signal→ Model→ Decision
AI strategy & deployment
6 wks

From AI strategy and use-case prioritization to production deployment of a high-value agentic workflow.

Professional services
Find→ Build→ Operate→ Measure
Product-building experience

We've built AI
businesses too.

betterlogiq.com
Predictive analytics Generative AI Data infrastructure Software development
daros.io
Agents Product development AI engineering Infrastructure

RRDS's experience developing BetterLogiq and daros.io demonstrates firsthand expertise applying predictive analytics, generative AI, agents, data infrastructure, software development, and product development to real AI systems.

These aren't portfolio companies. They're evidence that RRDS can build real AI products and systems — not just advise on them.

We bring a builder's perspective to every engagement.
Enterprise experience

Built on years of
real-world analytics.

RRDS has delivered data science, machine learning, quantitative research, advanced analytics, and AI engagements in the U.S. and internationally since 2017.

9+
years delivering AI and analytics engagements
US & Int'l
engagements across industries and geographies
F500
experience at global enterprise scale
Client voices

What clients
say.

The team was fantastic. They understood what I was asking. And then proposed a solution that was both cheaper and faster… it was exactly what we were looking for.

Vice President Confidential Private Equity Firm

RRDS doesn't just do analytics, they do problem solving. It would have taken us a very long time to do what they do.

Principal Mid-market PE Firm

The project updates and information provided by Kara and team were so polished that it started to raise and improve the information delivered by my internal team.

Senior Director, Data & Analytics GE Transportation

Caught on at light speed. Felt RRDS was an extension of our organization. Very insightful, intuitive, and, most importantly, efficient!

Project Manager Fortune 500 Diversified Industrials Firm

RRDS very well changed the culture and interaction between my team and those whom we were supporting. How? Capacity was never again a limiting factor when we received requests from other departments. The peace of mind factor is enormous… being able to say "we can get to it."

Senior Director, Data & Analytics GE Transportation
Intellectual property

The MOTO
Framework.

Developed by RRDS founder, Kara Yokley, the MOTO Framework provides non-technical business leaders with a practical tool for directing complex AI and data initiatives.

It bridges business strategy and technical execution — shifting the question from "What can AI do?" to what actually matters.

Kara Yokley
Kara Yokley
Founder, RRDS Chicago
LinkedIn ↗
MOTO Framework — RRDS Intellectual Property
IP / RRDS
What can AI do?
What should AI do
for the business?
Business Strategy
↔
Technical Execution
M
Mission
What is the business trying to achieve?
O
Objective
What specific outcome are we optimizing for?
T
Technology
What AI and data capabilities serve that objective?
O
Operations
How does it fit into how the business actually works?
RRDS Chicago

AI isn't
the objective.

Better business
performance is.

Let's identify where AI can materially improve how your business operates — and build what it takes to make that improvement real.

Book a Free 30-Min Workflow Audit →

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