AVIO’s Proven Process
AVIO’s Process Loop
At AVIO Consulting, we never start with a product or come to the table with a preconceived technology solution. We start with a business problem that needs to be solved and work alongside your team to develop an efficient, effective, scalable approach to deliver what your business needs.
Before any project begins, we implement an insightful discovery process to get to the root of your greatest challenges and align on desired outcomes. Discovery is followed by thorough scoping discussions and an official proposal to document shared objectives, project assumptions, estimated costs, and a target timeline. Once the proposal is approved, our clearly defined internal process transfers knowledge to the implementation team, so you don’t have to worry about repeating key information that’s critical to the project’s success.
Our proprietary frameworks and IT accelerators help us deliver faster—and better—than our competitors. AVIO’s project review board meets every two weeks to confirm that best practices and proven methodologies are being followed, and every project receives executive-level quality assurance and oversight.
AVIO’s Process Loop adheres to the following steps:
1. Sense the Signals
What are the signals of success in your business? What is being done correctly and producing more sales? Are there areas of brokenness or inefficiency in your processes that are holding your company back from optimal performance?
2. Measure the Impact
If we follow the signals and adapt related processes, what impact would it have on the business—not in theory, but in real, measurable ROI?
3. Deploy the Solution
What is the desired end-state that leverages data, platforms, integrations, and automations to solve business challenges and optimize performance?
4. Validate the Adaptation
Prove the deployed solution in a controlled, low-risk pilot environment and confirm assumed outcomes.
5. Scale & Learn
Expand the solution beyond pilot test groups, validate its impact on the organization’s efficiency and profitability, and continuously optimize through adoption, performance monitoring, and ongoing evolution to best meet company needs





