Agentic AI Consulting & Development in Minneapolis, MN
Downtown Minneapolis skyline seen from the Stone Arch Bridge

Minneapolis, MN · Agentic AI

Agentic AI for Minneapolis businesses

AI agents for Twin Cities companies that work through claims, complaints and store operations tasks, with people deciding what affects members and customers.

Clients

Trusted by government and industry

  • Asterix Energy
  • Aqozone Industries
  • Cuarzo
  • Fresher Profiles
  • Gill Instruments
  • Government of India
  • Government of Karnataka
  • Karnataka State Co-operative Agricultural and Rural Development Bank
  • Karnataka State Pollution Control Board
  • Gift Links
  • ShubhKalyan
  • Shreeraj Gifts
  • Try Giraffes
  • Tekpro
  • RapidMindPower

Agentic AI in Minneapolis

Agents for claims, complaints and stores

The Twin Cities host an unusual number of national headquarters: big-box retailers, one of the largest health insurers, medical device makers, food and agribusiness giants and regional banks. Minnesota's privacy law also gives people the right to question decisions made by profiling.

IoT and Automation

Bridging Business and Technology in the Australian Home Automation Market

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Ecommerce And Retail

Revolutionizing Gifting Solutions with a Seamless Ecommerce Experience

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Textile Industry

Transforming Tradition with Technology – A Digital Revolution in the Textile Industry

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Data Analytics

Unlocking Real-Time Data Potential with Advanced IoT Solutions: A Success Strory

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Community Building

Building Thriving Communities with WhatsApp Automation

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Hotels and Restaurants

Redefining Hospitality with Cutting-Edge IoT Solutions for Boutique Hotels

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Psychology

Transforming Wellness: An innovative App for solving any problem through subconscious mind

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Banking Services

Transforming a 100 year old co-operative bank to go digital

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Where it fits

What agents can take on for Minneapolis teams

Medical devices

Complaint intake

Complaints captured, classified and checked for reportability.

  1. 1Reads complaint details
  2. 2Classifies the issue
  3. 3Flags possible reportable events
Health insurance

Claims review preparation

Reviewers receive complete claim files.

  1. 1Collects claim documents
  2. 2Checks policy rules
  3. 3Queues for reviewer decision

Have a use case like these?

Tell us what your team does by hand today, and we'll show you how we would approach it.

Book a free consultation

What we build

What our agentic AI work covers

AI Agent Development

Custom standalone agents built for a specific job, such as customer support agents, sales or lead qualification agents, research agents, and voice agents.

Agentic Workflow Automation

Multi-agent systems that run end-to-end business processes like invoice processing, onboarding, report generation, and approval flows. This includes the orchestration, tools, and human-in-the-loop steps.

AI Integration into Existing Systems

Adding agentic capabilities to the apps, ERPs, CRMs, and websites you already use. It also covers RAG over your own data, so answers come from your documents, and connections to your APIs and databases.

Built for Minnesota rules

Regulations we design around

Businesses handling Minnesotans' data

MN Privacy Act

A right to question profiling decisions and see the data behind them.

Healthcare providers, plans and their vendors

HIPAA

Safeguards and a business associate agreement for anything touching patient data.

Medical device makers

FDA device rules

Software that informs diagnosis or treatment may itself be a regulated device.

Banks, lenders, fintechs

GLBA Safeguards

A written security program covering every system that handles customer financial data.

Working together · Central Time

Working with us from Minneapolis

Your morning is our evening, so we meet live at the start of your day and build while you sleep.

  1. 8–10 AM CT Live call Review progress and make decisions together
  2. Your working day Your feedback Your team tests and comments in writing
  3. Overnight CT We build Progress is ready for your next morning

Want to see how a week with us would look?

Tell us your hours and your project, and we'll plan the live time around your day.

Send your requirements

How we work

From first conversation to production

  1. 1

    Map the process

    We sit with the people who do the work today and map it step by step.

  2. 2

    Design the agent

    We decide what it can access, which tools it uses and where a person steps in.

  3. 3

    Build and test

    We test it on your real cases and check the results before go-live.

  4. 4

    Run and improve

    We watch it in production and improve it as your work changes.

Get a clear plan for your project

A free consultation, then a written estimate of scope, timeline and cost.

Book a free consultation

Testimonials

What our clients say

FAQ

Questions from Minneapolis teams

Ask us something else
Can agents deny claims?

No. We design agents to prepare and check files. Coverage decisions stay with qualified reviewers, which also supports members' rights to question decisions.

What is agentic AI?

Agentic AI refers to AI systems that can plan and carry out multi-step tasks using tools, such as searching documents, updating records or calling APIs, rather than only answering a single question.

How do you keep AI agents safe in production?

Agents get only the permissions they need, every action is logged, and high-impact steps go to a person for approval. We also test agents against real scenarios and monitor them after launch.

Can agents work with our existing ERP and CRM?

Yes. We integrate agents with the systems you already run through their APIs, databases or connectors, so there is no need to replace your core platforms.

Do we need to replace our current software?

No. Agents work inside the apps, ERPs, CRMs and websites you already use.

Can your agents handle phone calls and WhatsApp?

Yes. We build voice agents on LLMs that answer and make phone calls, and chat agents for WhatsApp, your website and your apps.

What happens when the agent is not sure?

It hands the task to a person on your team, with everything it has done so far, so nobody has to start again.

How long does it take to build an agent?

A single agent for one job, like answering support questions or qualifying leads, usually takes 2 to 4 weeks. A workflow that runs across several systems, like invoice processing from email to ERP, usually takes 6 to 10 weeks. The time depends mostly on how many systems the agent connects to, how clean your data is, and how many approval steps it needs. We often start with a 2-week pilot on one process, so you can see it working on your real cases before committing to more.

Get in touch

Tell us your requirements

Share what you'd like to build or automate. We'll reply by email to set up a free consultation.

  • Free consultation, no commitment
  • Talk to the people who will build it
  • Your details stay with us