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.
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.
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.
Typical duration: 1 week - led by The AI Lab
Typical duration: 1 week - led by The AI Lab
Typical duration: 1-2 weeks - led by The AI Lab
Typical duration: 4-6 weeks - led by the deliver team
Typical duration: 8-12 weeks - led by the delivery team
Typical duration: Ongoing - led by the delivery team
Talk to an expert from the lab
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
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.
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.
Contributes context on your systems, data, and operations, which keeps early ideas grounded in how your business works today.
Sets the questions and ideas to explore, which ties the work to the priorities you're accountable for.
Establishes feasibility, data readiness, risk, and value for each idea. Gives your team an evidence-based case to act on.
Builds a working proof of concept (PoC) or minimum viable product (MVP) so that your team can judge results from a real system.
Judges the evidence and decides which ideas move forward and which stop.
Advises the delivery team, provides accelerators that shorten development, and reviews the work.
Engineers what the evidence supports and holds scope to it, which keeps the work focused on proven value.
Owns the decisions on scope, priorities, and trade-offs as the solution takes shape.
Remains on call for risk consultations as the solution reaches more users, data, and business units.
Implements the solution across your organization and governs it in production through monitoring, controls, and ongoing support.
Owns the outcome, measures results against the value case, and decides where to expand next.
The AI Lab turns what's ready for production into usable practice.
Experts check design decisions before they turn expensive.
The AI Lab steps in when something critical looks shaky.
What one team solves reaches every other team.
The AI Lab captures proven patterns and guardrails in playbooks.
Regular sessions help project teams work through current obstacles.
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.
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.