Where AI Momentum Usually Stalls

Large, regulated organizations usually have a long list of promising AI ideas competing for the same budget. While ideas come easy, what’s harder to find is data showing which of those ideas will work in your environment, what they'll cost, and how much risk they carry.

Decisions of this size need to be based on evidence, but the evidence rarely exists when budget conversations begin. Without it, most organizations end up on one of three paths.

Decisions Stall

Every conversation loops on the same feasibility questions, and no one runs the test that would settle them.

Funding Follows Guesswork

Budget goes to the most persuasive opinion in the room instead of the strongest evidence.

Pilots Stop Short of Scale

A promising pilot works in isolation and then fails because no one planned for security, governance, or cost at scale.

A Faster Route from Ideation to Evidence

If you’re the one accountable for where the AI budget goes and for projects that falter in production, you need a better path. The AI Lab is the product-style research and development hub behind AgilityAI, and it exists to give leaders a defensible answer before they commit. The team draws on what Marlabs has already built, engineered, and governed for enterprise clients, which means your evaluation starts from patterns already proven in production.

Answers in Weeks

Structured evaluations answer feasibility, data, risk, and value questions.

Accelerators in Production

Reusable assets give your project a head start on day one.

Architecture Review

Senior architects review design decisions for the life of the project.

Agentic Applications

Applications pursue defined business goals under human oversight.

Shared Best Practices

A best practice exchange carries lessons from all our engagements into yours.

Most Enterprise AI Doesn’t Fail Because of Technology Alone

They fail because of preparation and perspective.

1

Bring Your Ideas

Share the use cases competing for budget. The AI Lab shapes and scores each one by business impact and effort to prove.

2

Judge the Evidence

Within two weeks, you receive a tested position on feasibility,data readiness, risk, and value. For ideas worth pursuing, a working proof of concept (PoC) follows in four to six weeks.

3

Scale What’s Proven

Your delivery team engineers what the evidence supports, from a minimum viable product (MVP) to governed production.

01 Discover

Typical duration: 1 week - led by The AI Lab

02 Assess

Typical duration: 1 week - led by The AI Lab

03 Feasibility

Typical duration: 1-2 weeks - led by The AI Lab

04 POC

Typical duration: 4-6 weeks - led by the deliver team

05 MVP

Typical duration: 8-12 weeks - led by the delivery team

06 Production

Typical duration: Ongoing - led by the delivery team

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A Head Start on Day One

Your project doesn't have to start from a blank page. The AI Lab publishes reusable accelerators to our AgilityAI suite. Each one listed here is running in a production environment today.

AI Data Migration

Uses agents to move and reshape data between systems

PromptRouter®

Scores each request for complexity and context and routes it to the best-suited model or agent

Contact Center Analytics

Scores interactive voice response (IVR) transcripts for topic, sentiment, risk, failure, and more

EDI Anomaly Detection

Flags outliers in electronic data interchange (EDI) files and explains each anomaly

Databricks to BigQuery Migration

Uses agents to migrate data from Databricks Unity Catalog to Google BigQuery

UIQA

Tests other bots and agents and reports what it finds

WhatsApp to Salesforce

Extracts data from PDFs shared in WhatsApp and creates Salesforce records automatically

Construction Lead Discovery

Scans public records to score, map, and suggest construction opportunities

Product Information Management

Carries a product from brief through registration, validation, metadata sync, build, and publication

Your Team Owns Every Decision

The AI Lab is a standing capability that Marlabs delivery teams call on before a PoC begins, and its support is part of your Marlabs engagement. It works alongside your existing delivery team through production while your team sets the questions, judges the evidence, and owns every decision.

Explore how each team supports each stage.

The AI Lab

Surfaces, shapes, and assesses ideas with your team. Weeds out weak ideas early so that budget goes to the ones most likely to pay back.

Delivery Team

Contributes context on your systems, data, and operations, which keeps early ideas grounded in how your business works today.

Your Team

Sets the questions and ideas to explore, which ties the work to the priorities you're accountable for.

The AI Lab

Establishes feasibility, data readiness, risk, and value for each idea. Gives your team an evidence-based case to act on.

Delivery Team

Builds a working proof of concept (PoC) or minimum viable product (MVP) so that your team can judge results from a real system.

Your Team

Judges the evidence and decides which ideas move forward and which stop.

The AI Lab

Advises the delivery team, provides accelerators that shorten development, and reviews the work.

Delivery Team

Engineers what the evidence supports and holds scope to it, which keeps the work focused on proven value.

Your Team

Owns the decisions on scope, priorities, and trade-offs as the solution takes shape.

The AI Lab

Remains on call for risk consultations as the solution reaches more users, data, and business units.

Delivery Team

Implements the solution across your organization and governs it in production through monitoring, controls, and ongoing support.

Your Team

Owns the outcome, measures results against the value case, and decides where to expand next.

Support That Continues after Discovery

Technology Research

The AI Lab turns what's ready for production into usable practice.

Architecture Reviews

Experts check design decisions before they turn expensive.

High-Risk Intervention

The AI Lab steps in when something critical looks shaky.

Cross-Program Learning

What one team solves reaches every other team.

Reusable Playbooks

The AI Lab captures proven patterns and guardrails in playbooks.

Challenge Clinics

Regular sessions help project teams work through current obstacles.

Questions Leaders Ask about The AI Lab

What is The AI Lab at Marlabs?

The AI Lab is the product-style AI research and development hub behind AgilityAI. It evaluates AI ideas for feasibility, data readiness, risk, and value; publishes reusable accelerators; reviews architecture; and supports Marlabs delivery teams from discovery through production.

How long does an AI feasibility assessment take?

The AI Lab answers most feasibility questions in under two weeks. Discovery and assessment each take about a week, and for ideas worth pursuing, a working PoC typically follows in four to six weeks.

Do we have to commit to a full program?

You can stop after any of the six stages. Each stage ends with evidence your team can use to decide whether to continue, change direction, or stop.

Does The AI Lab replace our delivery team?

The AI Lab works alongside your Marlabs delivery team. It leads the early work of proving value and then advises, supplies accelerators, and reviews architecture while the delivery team leads the build.

How does The AI Lab handle security and governance?

Security, governance, and cost at scale are part of the evaluation from the start, because pilots that ignore them tend to fail later. Client programs have included traceability, responsible AI controls, per-user cost attribution, and deployment inside the client's own cloud tenant. Your team reviews the evidence and makes every call.

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Find Out Which AI Ideas Deserve Your Budget

Within two weeks, your leadership team can trade competing opinions for tested evidence and make a clear call to fund, change, or stop each idea before another budget cycle goes to guesswork.

Not ready to talk yet? In the meantime, take a look at how our experts helped a leading capital markets organization scale their AI initiatives.

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Read the Case Study