PROCUREMENT-READY GENAI DELIVERY STUDIO

Production AI systems deployed for your organization

We move one workflow at a time from assessment to production, with the governance artifacts, evaluation plans, and staff trained to operate the system from day one

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Readiness. Deployment. Optimization. Senior principals on every engagement.

Data Strategy Lab is a procurement-ready GenAI delivery studio based in Arlington, Virginia, serving Washington, D.C.'s knowledge economy. Founded in 2018, DSL helps trade associations, law firms, professional services organizations, and B2B revenue teams move from AI pilots to governed production systems. Every engagement delivers working AI with governance artifacts, evaluation plans, staff training, and full ownership transfer.

Trusted by forward-thinking brands

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[ The problem ]

Most AI initiatives stall before reaching production

Disconnected data & fragmented workflows

No governance or evaluation framework

No clear path from pilot to production

[ how we solve it ]

Unified data access

CRM • Docs • Email

Safety & compliance

• Role-based access
• Evaluation plans

Human oversight

• Approval checkpoints
• Override controls
• AI observability

Ownership transfer

• Trained staff
• Documentation
• No vendor lock-in

We build the path from pilot to production

Governance built in from day one

Staff trained to operate

Client-owned systems

Rated 5 star by 120+ clients

“Great technology matters, but true impact comes from understanding the problem first.”

Ethan Parker, CEO

What we build

Expertise & Capabilities

AI Workflow Automation

We design intelligent systems that automate repetitive tasks and streamline daily operations.

Multi-workflow mapping

MCP Orchestration and real-time system integration

AI Agent Development

Our experts build multi-agent systems that understand context, make decisions, and execute autonomously.

Code

AI Copilots Knowledge Assistants

Conversational AI with citation-backed answers, built on your proprietary data.

What do you want to automate?

We handle 100+ support chats a day.

I can take tier-1, route the rest, and sync to your desk.

Let’s do it.

Happy clients

Client satisfaction rate

Revenue & GTM Intelligence

AI-powered pipeline intelligence, agent-driven outreach, and RevOps automation for B2B teams.

Data Architecture & AI Infrastructure

We unify data across your ecosystem to power intelligent workflows that move information automatically and accurately.

Data pipeline setup

Cross-platform automation

you

Not Sure Where to Start with AI?

SCHEDULE A CONSULTATION

Only 20-30 min. Friendly chat, no pressure.

WHO WE HELP

Built for knowledge-intensive, compliance-driven organizations

We're a team of AI strategists, engineers, and data scientists helping DC's knowledge economy move from AI experimentation to production

How do we get AI past the board, into operations, and producing results?

Attach

We plug into your stack:

Associations & NGOs

AI for lean teams managing policy content, member communications, legislative monitoring, and compliance-heavy knowledge workflows

Legal & Professional Services

Citation-grounded copilots for document review, knowledge management, and regulatory research. Built for firms where traceability and human oversight are non-negotiable

Revenue & GTM

AI systems that compress long B2B sales cycles, activate intent signals in real time, and connect the GTM tools you already run

Government & Public Sector

AI systems built to procurement standards. Evaluation artifacts, compliance documentation, and governed workflows that satisfy agency review before deployment begins

[ Workflow-first ]

[ Human-Centered AI ]

[ Data-driven decisions ]

[ Responsible AI Deployments ]

[ Built for performance ]

[ Workflow-first ]

[ Human-Centered AI ]

[ Data-driven decisions ]

[ Responsible AI Deployments ]

[ Built for performance ]

[ Workflow-first ]

[ Human-Centered AI ]

[ Data-driven decisions ]

[ Responsible AI Deployments ]

[ Built for performance ]

From Strategy to Scalable AI

A four-tier delivery model designed so each engagement creates pull for the next. Every step ends with working systems your organization owns.

Start with an AI Readiness Sprint

[ Tier 01 ]

AI Readiness Sprint

Choose one workflow. We assess your data environment, tools, CRM integrations, infrastructure readiness, and organizational constraints to map your data foundation and AI workflow architecture, then build a working proof-of-concept on your actual data and existing tech stack.

A working proof-of-concept built on your actual data

Data environment audit

Use case scoring and prioritization

Working POC on your stack

Risk tiering and evaluation plan

Procurement-ready decision package

[ Tier 02 ]

AI Workflow Sprint

We ship that workflow as a production system, integrated with your data sources and tools, governed from go-live, with staff trained to operate it from day one.

A production system your team operates from day one

Governed deployment with access controls

Monitoring, runbook, and full documentation

60-day post-launch support and staff training

[ Tier 03 ]

Optimization and Continuous Improvement

After deployment, we monitor system performance, refine outputs, expand integrations across your MCP, agent, and skills layers, and provide ongoing technical support.

Production AI that gets sharper over time

> AI observability and output quality monitoring
> Response accuracy, grounding, and enrichment tuning
> Token cost optimization and latency reduction

[ Tier 04 ]

Fractional AI Advisory

Embedded AI leadership for your organization. Strategy sessions, architecture decisions, governance updates, vendor evaluations, and team coaching on an ongoing basis.

A structured path to becoming an AI-native organization

> Monthly strategy sessions and quarterly roadmap refresh

> Vendor evaluation and DSL partner ecosystem access

> Internal capability building, not long-term dependence

PLATFORMS WE USE

The Engine Behind AI

LangChain

TensorFlow

PyTorch

Zapier

Make (Integromat)

n8n

Python

LangChain

TensorFlow

PyTorch

Zapier

Make (Integromat)

n8n

Python

LangChain

TensorFlow

PyTorch

Zapier

Make (Integromat)

n8n

Python

Google Sheets

Airtable

Notion Database

PostgreSQL

BigQuery

HubSpot

Python

Google Sheets

Airtable

Notion Database

PostgreSQL

BigQuery

HubSpot

Python

Google Sheets

Airtable

Notion Database

PostgreSQL

BigQuery

HubSpot

Python

Cloudflare

Datadog

Vercel

AWS

Twilio

Gmail

Intercom

Cloudflare

Datadog

Vercel

AWS

Twilio

Gmail

Intercom

Cloudflare

Datadog

Vercel

AWS

Twilio

Gmail

Intercom

Turn This Stack Into Results

We use this stack to engineer real AI workflows — not experiments.

Case Studies

AI-Powered Growth Strategy and Workflow Automation for a Major Fitness Center

Delivered a structured growth assessment, AI-powered CRM workflow automations, sales pipeline analytics, and personalized campaign development for a major fitness center.

Prioritized growth roadmap

AI-powered CRM automation

Personalized campaign development

Read full story

End-to-End IoT and AI Platform for a Palo Alto Retail Technology Startup

Designed and built a full-stack IoT and AI platform for a Palo Alto, CA venture-backed startup. Programmatic in-store audio advertising, computer vision, shopper analytics, multi-store device management, and campaign tools — all under one end-to-end platform.

Prototype to funded product

Real-time campaign management

AI-powered shopper analytics

Read full story

AI-Powered Arbitration Research for a Top US Law Firm

Built a citation-grounded AI platform for international arbitration financial damages review. 4x reduction in manual document review time. Won the Most Innovative Legal Solution Award.

4x faster document review

Citation-backed extraction

Most Innovative Legal Solution Award

Read full story

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Building Scalable AI for

Associations

Legal

Revenue

We build AI solutions for every industry from sales & marketing automation to legal analytics and beyond

Schedule a Consultation

Adrian Erlinger, Director of AI Strategy

SIMPLE PRICING

No Surprises. Just Clarity.

Essential Automation

Everything you need to automate simple work.

$499

/One time

Included Features:

1–2 basic automations

Basic chatbot or light

Email support

Integration with 1 tool

Workflow testing

1 revision

SCHEDULE A CONSULTATION

Advanced AI Build

$1,500

/One time

Included Features:

Custom AI agent

Multi-tool integrations

Automated workflows

Full testing + optimization

Documentation

Two revisions

BOOK A CONSULTATION

Ongoing Support & Optimization

Small updates, tweaks, bug fixes, and light monitoring.

$199

/mo

Not sure which plan is right for you?

Talk to an AI Consultant

CLIENT TESTIMONIALS

What Our Clients Think

4.5 rating on

Sara Thompson

Customer Success Lead

The chatbot they built cut our support workload in half. It responds fast, stays accurate, and fits our brand perfectly.

Internal workflow automation using a custom AI agent integrated with the team’s existing tools.

AI agent tested at 95 percent accuracy.

Daniel Ruiz

Customer Success Lead

The consulting sessions were incredibly useful. They helped us understand what to automate first and gave us absolute clarity.

Internal workflow automation using a custom AI agent integrated with the team’s existing tools.

AI agent tested at 95 percent accuracy.

Aarav Mehta

Operations Manager, Nexora Labs

Their automation work saved our team hours. The AI agent they built handles tasks better than tools we used before.

Automation strategy consulting focused on mapping bottlenecks and prioritizing high-impact tasks.

Delivered a clear 3 month automation roadmap.

Frequently asked questions

Common questions about working with Data Strategy Lab

Still have questions?

We’re here to help you make the right decision.

Talk to an AI Strategist

How do we know if our organization is ready for AI?

That is what the AI Readiness Sprint is designed to answer. In two to four weeks, we assess your data environment, infrastructure, and organizational constraints, then deliver a working proof-of-concept and a procurement-ready decision package.

What does a typical engagement look like?

Most clients start with an AI Readiness Sprint, then move into an AI Workflow Sprint for production deployment. Organizations with ongoing AI needs add Fractional Advisory. Each tier is scoped independently.

How long does it take to get AI into production?

An AI Readiness Sprint takes two to four weeks. A Workflow Sprint takes four to eight weeks. Most organizations have a production AI system running within three months of first engagement.

What industries and organizations do you work with?

We serve trade associations, professional membership organizations, mid-market law firms, B2B cybersecurity companies, and government contractors in the Washington, D.C. region.

Do you provide ongoing support after deployment?

Every Workflow Sprint includes 60 days of post-launch support. For organizations that need ongoing AI leadership, the Fractional Advisory tier provides monthly strategy sessions, quarterly roadmap updates, and continuous implementation support.

What makes DSL different from other AI consultancies?

We deliver working systems, not slide decks. Principals lead every engagement. Governance and evaluation artifacts are built in from day one. And we publish transparent pricing for every service tier.

FROM OUR BLOG