At Avannis, the work arrived in other people’s words. The banking research business manually reviewed and classified more than 20,000 customer surveys a month. Each response needed a category. Each category needed judgment. Growth meant finding more people to make the same decisions, again and again.
- Innovative builds and runs cloud, data, and AI systems on AWS.
- Its software tackles repeatable work, from survey coding to proposals.
- The buying decision comes down to workload, operating cost, and accountability.
Innovative Solutions approached that pile with Tailwinds, its AI platform, using historical surveys and classification requirements to guide the system. Avannis projected annual savings of 3,000 working hours, worth $54,000. That is an unusually legible AI proposition: a recurring job, a measurable burden, and a number somebody can put in a budget.
01 / A business built around the backlog
Innovative occupies the space between buying cloud technology and having the people to make it useful. It serves growing businesses, particularly smaller and midsize organizations, with engineering that covers migration, application modernization, data platforms, and ongoing operations. Healthcare providers, financial-services firms, and software vendors feature prominently in its work.
Consider LivTech, a healthcare technology customer. Its claims-processing ambitions ran into an unglamorous prerequisite: identifying, cleaning, and verifying its internal documentation. Innovative connected Tailwinds to the existing claims platform, combining business rules and documents with Claude through Amazon Bedrock and a Weaviate database. The interesting work was making an AI system fit a business that already existed.
02 / The intern gets the keys
There is a useful wrinkle in the company’s age. Innovative began in 1989. Justin Copie, its owner and CEO, arrived in 2003 while studying at Rochester Institute of Technology. He worked his way through the business, became chief executive in January 2016, and completed his purchase that April. This was a succession from inside the organization.
Copie described his responsibilities to the Rochester Business Journal with a compact phrase: “I provide the vision and safety.” His account of leadership emphasized allowing people to fail and succeed. The theme suits a company whose current work requires trying a system, inspecting its mistakes, and changing the design.
Rochester also encounters the business away from a screen. In October 2022, Innovative and Monroe County announced the naming agreement for the Red Wings’ ballpark, Innovative Field. A company selling invisible infrastructure acquired a particularly visible local address in people’s imaginations.
03 / Expertise comes in several packages
The AWS relationship supplies much of Innovative’s market position. It is a Premier Tier Services Partner with competencies spanning AI, migration, DevOps, and networking. That gives a buyer a concrete starting point for judging expertise. The company is selling familiarity with a particular ecosystem, including the infrastructure beneath an AI application.
The ongoing work includes monitoring infrastructure, managing security, backing up data, and tuning performance. Innovative advertises round-the-clock monitoring and support. Its modernization practice also handles containers, serverless applications, and automated software delivery. For a buyer comparing an outside partner with hiring internally, that range is the relevant trade: one relationship can cover several engineering disciplines. Buying a general AI assistant leaves those infrastructure jobs with the customer. Hiring a permanent team builds internal knowledge but requires recruiting and managing it. Innovative’s pitch is access to that capability through an engagement, with engineers who remain involved as the system changes.
The commercial choices are equally revealing. A defined migration or implementation can use a fixed fee. Innovative’s Product-Oriented Delivery model, or POD, supplies a dedicated team working through a customer-prioritized backlog. Customers buy capacity and decide what matters next. Changing priorities changes the queue; it does not create unlimited engineering time.
Software introduces another price line. The Tailwinds AWS Marketplace listing shows Developer Edition at $300 a month and Team Edition at $1,500. Those are subscription prices. A buyer still needs to budget for implementation and the underlying cloud services. Confusing the license with the finished system would make the spreadsheet look friendlier than the project.
04 / Then the AI bill arrives
Innovative has had to examine its own arithmetic. In his 2026 midyear commentary, CTO Travis Rehl said the company moved DarcyIQ from frontier models to internally hosted open-source models, reducing AI costs by 70%. His diagnosis was practical: match the model to the task, and assign responsibility for checking the result. Otherwise, successful demonstrations can become expensive systems people quietly avoid.
That experience makes the newer contracts worth reading. In July 2026, Innovative launched Forward Deployed Services: assessments, production delivery, and ongoing embedded engineering. Optional outcome bonuses reward defined delivery or cost-efficiency goals. The arrangement gives the engineer’s employer a financial reason to care about what happens after installation.
05 / A proposal machine grows a memory
DarcyIQ, publicly launched in May 2025, grew from Innovative’s own services workflow. Its initial proposition addressed the sales-to-engineering handoff: collect requirements from conversations, generate proposals, and reuse knowledge from earlier projects. A service business accumulates experience. Making that experience available during the next customer conversation is a separate engineering problem.
“We’re not trying to win the chat window.”
Justin Copie / DarcyIQ Anywhere announcement, June 2026
June’s DarcyIQ Anywhere release widened that idea. It exposes governed organizational knowledge to compatible AI tools through the Model Context Protocol, or MCP. Meetings, requirements, and project history become context another assistant can draw upon, subject to permissions. Innovative is positioning its software behind the conversation, supplying the business memory that a general assistant lacks.
For a prospective customer, the useful experiment is modest. Pick one expensive recurring task. Establish the baseline, define an acceptable result, and calculate costs at real volume. Innovative’s assessment and delivery options provide ways to attempt that experiment with outside engineers. A business seeking Azure-first architecture or an independently managed internal stack should weigh that preference against Innovative’s AWS specialization.
The attractive idea here is that implementation deserves as much attention as invention. A classified survey, a checked claim, a proposal grounded in previous work: each has a destination a customer can recognize. That makes a much better purchasing conversation than asking how much AI the company ought to have.