Refocus on Transformation

Stop the Stall on Artificial Intelligence

With 72% of companies that have added AI to their technology stack failing to get their applications into production, it’s clear most organizations are falling short.
Artificial Intelligence services
The Right Approach

Reach Your Goals Through a Focused Methodology

Many organizations know they need AI but don’t currently have the systems in place to get the data required to implement it successfully.

There are four key areas of focus, broken down by stage, to create a plan that gives you the tools you need to get your applications implemented, adopted and driving bottom-line value to your organization.

1. Preparation
Ensure the right systems are in place to ready your data. Using design thinking and project roadmapping services will validate your data and provide guidance in selecting a vendor that suits your needs.

2. Implementation
Utilize agile project management services to implement your system with the features that you need today and a plan for ones you may need later. Start to build models that illustrate their effectiveness, so you can get your applications running quicker and more efficiently.

3. System Education and Adoption
Train your team on your AI system’s processes through change management services, which facilitates users’ ability to operate your AI without fear of being replaced.

4. Continuous Improvement
Apply data governance services, so as your system collects more data it scales with your organization and keeps tracking key metrics as you evolve.

Finding the right partner is important, as they can concentrate on segments primarily connected to the finance organization.

The Spectrum

AI Solutions for Business

Your business challenges are unique and require individualized solutions. The spectrum of AI business solutions is built on the foundations of robotic process automation (RPA), predictive analytics and virtual assistants to ensure there is a focus in what can be a sea of AI solutions.

RPA
Allows computers to perform structured digital tasks like a human user following a set of rules. An RPA tool maps a process for a software robot (or bot) to execute, streamlining your organization’s time-consuming, manual processes such as data migration, employee onboarding or expense management. This empowers your team to focus on strategic projects that can help your business grow.

Predictive Analytics
Attempts to understand the future by studying events from the past. Relying on a variety of machine learning algorithms, these systems identify patterns in historical data to provide statistical probabilities of a future event. They can help analyze the lifetime value of a customer, customer churn and other deep learning processes that can increase the effectiveness of marketing campaigns.

Virtual Assistants
Interact with human users to observe behavior and develop insights that can recommend future actions. Tools like chatbots engage with employees and customers by providing targeted information to specific requests. Founded on the underlying technology of natural language processing, these systems can accomplish a variety of functions, including 24/7 customer support, product and service recommendations, internal employee helplines and other cognitive engagement opportunities.

Using just these three tools, you can choose from a host of capable solutions to solve the majority of common business challenges.

THE SPECTRUM OF AI BUSINESS SOLUTIONS
Transforming
Real-World Applications
AI is already transforming how many companies do business. Aiding organizations to stay on the bleeding-edge in key industries that include:
Adaptive Insights Life Sciences
Automate target ID and validation for R&D, batch release and operational analysis.
High Tech Industries Dynamics 365 Integration
Deploy predictive analytics to create proactive business models and improve forecasting.
Accounting Outsourcing Services for Nonprofits
Analyze donor data and provide insights into donations to create effective targeted campaigns.

In Practice

AI Lab

Many organizations don’t know how to apply AI to their organization – or even where to start. Armanino developed the AI Lab with these concerns in mind and provides a way to dip your toes without the risk.

Join The Lab


The Lab offers a host of educational services dedicated to creating sustainable, competitive advantages. When you access the Lab, you’ll move past the hyperbole to deploy proof-of-concept projects focused on real-world challenges and opportunities, focusing on the AI solutions that matter most to business executives tasked with scaling their organizations for growth and market dominance. Lab benefits include:

AI Educational Microsite
Educational Microsite
Get more in-depth information about AI and its myriad applications.
AI Proof-of-Concept Models
Proof-of-Concept Models
Learn how others are implementing AI and how your projects might fare.
Pooled AI Resources
Pooled AI Resources
A gathering area of articles, case studies, write-ups and other insights.
Overheard

What’s Being Talked About

Experts
Ryan Prindiville - Director, Consulting - San Ramon CA | Armanino
Partner
Ryan heads Armanino’s Strategy and Transformation, Data Analytics and Solution Architecture functions.

San Ramon, CA
Tom Mescall - Partner-in-Charge, Consulting - San Ramon CA | Armanino
Partner-In-Charge of Consulting
Tom has more than 25 years of experience in management consulting, software development and public accounting.

San Ramon, CA
John Horner - Partner, Consulting - San Ramon CA | Armanino
Partner
John has more than 15 years of experience in data warehouse and business intelligence implementations.

San Ramon, CA
Q&A with Vic.ai CEO Alex Hagerup and VP of Product Zak Stratton
Article
We spoke with leaders from Vic.ai about automating the accounting industry and how businesses in general can adopt AI.

July 21, 2021
Q&A with Scry Analytics CEO Alok Aggarwal
Article
A discussion on finding ways to optimize processes and solve challenges through automation.

June 30, 2021
Q&A with Automation Hero Founder and CEO Stefan Groschupf
Article
The company wants to help businesses put AI to work without needing data scientists and big training data.

May 25, 2021
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