AI Solutions Hub

Move from AI ideas to working solutions.

Northeastern University helps organizations identify valuable AI opportunities, build and test custom solutions, and prepare them for real-world deployment.

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Bring us

01An operational challenge
02A promising use case
03A prototype that needs direction
04A portfolio of AI opportunities

Engagement outcomes

What an engagement can deliver.

01 Prioritized roadmap Clear opportunities assessed for value, feasibility, data readiness, and risk.

02 Working prototype A solution stakeholders can test with real workflows and data.

03 Path to deployment Technical direction, responsible AI practices, and knowledge transfer for what comes next.

Choose your starting point

Where does your organization need AI support?

Start with the need that matters most. We shape the technical approach and engagement around your goals, data, constraints, and internal capabilities.

Find the right opportunity

Assess business challenges, available data, feasibility, potential value, and risk before committing to a build.

Explore FDE discovery ↓

Test a promising idea

Turn a priority use case into a proof of concept or working prototype that stakeholders can evaluate.

Explore FDE prototyping ↓

Build and deploy a custom solution

Design and develop an AI application around your workflows, users, data, security requirements, and technology environment.

See what we build ↓

Move an existing prototype toward production

Strengthen an existing prototype through engineering, integration, testing, deployment planning, and MLOps.

See how we work ↓

An early path from idea to prototype

Scope and test an AI workflow before committing to a full build.

Our Forward-Deployed Engineers program pairs two certified Northeastern graduate students with an AI Solutions Hub technical lead. The team works directly with your organization to identify promising workflows, define requirements, and create an early prototype you can evaluate.

01 · 4 WEEKS

Discover and prioritize

Examine how work gets done and identify AI opportunities based on potential value and complexity.

Output: A prioritized list of workflows

02 · 4–6 WEEKS

Scope the workflow

Define the users, requirements, data, dependencies, risks, and technical feasibility for a selected workflow.

Output: An actionable requirements document

03 · 6–8 WEEKS

Build an early prototype

Create a working demonstration your team can test before deciding whether to invest in full development.

Output: A testable, non-production prototype

What we deliver

AI built around real work.

We combine applied AI, data engineering, software development, and responsible AI practices to create solutions your organization can use and sustain.

Knowledge and document intelligence

Extract, classify, summarize, search, and reason across contracts, reports, policies, transcripts, and other unstructured information.

Prediction and decision support

Use historical and real-time data to forecast demand, assess risk, prioritize work, and support better operational decisions.

Workflow automation

Reduce repetitive work with AI-enabled intake, routing, grading, scheduling, reporting, and human-in-the-loop review.

Custom AI applications

Build secure assistants, conversational interfaces, analytical tools, and full-stack applications designed for your organization.

Why Northeastern

Research depth. Practical delivery.

The AI Solutions Hub brings together applied AI professionals, faculty, researchers, graduate students, and co-op talent to help organizations move from complex AI challenges to solutions that can be tested, deployed, and sustained.

State-of-the-art expertise

Draw on expertise across generative AI, natural language processing, computer vision, machine learning, data engineering, and responsible AI.

An integrated team of builders

Work collaboratively with experienced AI professionals, researchers, faculty, and emerging technical talent aligned around your organization’s challenge.

From research to production

Apply research-backed methods in practical settings, with the engineering, deployment planning, and knowledge transfer needed to move beyond experimentation.

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Applied AI in action

Solutions measured in operational impact.

Representative work across real estate, infrastructure, healthcare, finance, manufacturing, professional services, and the public sector.

Self-Serve Analytics

Automated portfolio reporting

Built for a property management organization overseeing approximately 30,000 housing units and adaptable to complex reporting workflows across industries.

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Financial services

Bangor Savings Bank

An experiential approach brought AI strategy, workforce learning, and applied projects together to help the community bank build capability and better serve its customers.

Read the case study ↗

Insurance

Fullscope RMS

A data roadmap, value-driven AI solutions, and workforce training helped the insurance partner create a clearer path toward sustained data and AI capability.

Read the case study ↗

Healthcare and life sciences

Radiolife

The AI Solutions Hub helped Radiolife validate a clinical-grade AI diagnostic platform for rapid infectious-disease detection.

Read the case study ↗

Technology and data

Inrupt

Northeastern and Inrupt explored how organizations can responsibly use personal data for valuable AI applications while users retain ownership and control.

Read the case study ↗

Manufacturing

International high-tech manufacturer

Northeastern helped the organization build a five-year digital-transformation roadmap connecting strategy, data, technology, and workforce priorities.

Read the case study ↗

Explore all case studies

How we work

A clear path from challenge to capability.

You work with one integrated team throughout the engagement, with practical checkpoints and knowledge transfer built into delivery.

01
Discover
Define the challenge, users, desired outcomes, data, constraints, and measures of success.
02
Design
Assess feasibility and create the technical, responsible AI, and delivery approach.
03
Build
Develop and test iteratively with regular input from your team and end users.
04
Deploy
Prepare the solution for your infrastructure, integrations, governance, and security needs.
05
Sustain
Transfer knowledge and equip your team to maintain, use, and extend the work.

Omer Alis, Director of the AI Solutions Hub

Applied AI leadership

Meet the expert

Omer Alis

Director, AI Solutions Hub

Omer leads a multidisciplinary team of AI experts, data scientists, and data engineers. Working with students, faculty, and researchers, the team helps organizations turn AI strategy, data opportunities, and emerging technologies into practical solutions that can be tested, deployed, and scaled.

Download the AI Solutions Hub 2-Pager

Explore how Northeastern University’s Institute for Experiential AI helps organizations move from experimentation to production with real-world AI solutions that deliver measurable impact.

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