See how BD Performing Arts saved $180K with AI. Read the case study.
See how BD Performing Arts saved $180K with AI. Read the case study.
Build AI around your business, not the other way around. No new
platform. No massive implementation. Just practical AI solutions
that deliver measurable results in weeks and leave you in control.
Reduce manual work. Increase productivity. Deploy production-ready agents in weeks, not months.
Our AI offerings:
Our four-week starter engagement: a working agent, a governance framework, a prioritized backlog that becomes your agentic AI strategy, and capability transfer to your team
Practitioner-led training that gets your team building, evaluating, and operating real agents
Production-grade agents built around the workflow, not the platform
Untangling the business rules, data dependencies, and operational logic that most pilots skip
Connecting agents to your existing tools, data, and identity infrastructure, inside your existing controls
Monitoring, evaluation, guardrails, and continuous improvement for agents already in production
Unlike traditional software implementations that take weeks or months and often create new bottlenecks, Prowess enables your teams to build their own throughput solutions immediately.
Agentic AI is AI that doesn’t just answer questions; it completes work. Unlike traditional AI tools that generate content or provide suggestions, agentic AI can understand a business objective, make decisions within defined rules, use software and data across systems, and carry tasks through to completion with human oversight.
BDPA’s executive director, Mike Stone, and operations lead, opened the door to something most leadership wouldn’t. They let us start small, with one of their staff members, and one workflow.
After two short training sessions, a staff member with no technical background built an agent that turned a four-hour data consolidation task into twenty seconds. First attempt. He didn’t think it was a big deal.
of previously outsourced accounting work — replaced by agents built by their own staff.
Their customers send orders any way they want — handwritten notes, photos of paper invoices, PDFs, sometimes a single line in an email. Someone on the team had to turn all of that into structured orders.
We wrapped an agent around their existing systems. Nothing changed for their customers. Their ERP didn’t change. Their team’s job changed.
per customer order — at a total technology cost of $20/month.
Our proven step-by-step process delivers you a live AI agent in just 4 weeks, paving the path toward capacity scaling.
Our team will work with you to identify a "first digestible problem" to solve.
We'll build the first AI agent prototype.
We'll run tests and gather your feedback on the prototype.
We'll incorporate test results and your feedback to finalize the AI agent.
We'll launch the AI agent and train your team on how to use it.
We'll drive capacity expansion across teams, departments, and divisions
The current AI landscape often limits models to single task outputs. Agentic AI transcends that by:
From workflow bottlenecks to continuous flow
From queue overload to instant resolution
From documentation drag to real-time readiness
From data delay to instant insights
From deployment delays to continuous delivery
20+ years partnering with industry leaders
A focused strategic engagement with defined deliverables and a working agent at the end. Not a pilot. Not a strategy deck. A real result, in just 4 weeks.
Ignition is how a relationship with Prowess starts. It’s designed to do three things at once: prove that agentic AI works in your environment, transfer enough capability to your team that they can keep going, and produce a prioritized backlog of the agents most likely to create value next.
Most consultancies have an unspoken business model: the more mature a client becomes, the more dependent they get. We built Prowess the opposite way. The more capable your team becomes, the more sophisticated the work we can do together and the less you need us for the basics.
That’s the through-line across every kind of engagement we run. Sometimes a client wants to learn to build agents themselves, and we teach. Sometimes they want us to design and deliver the agents, and we do. Sometimes they want us to run the whole thing as a managed operation, and we run it. Most clients end up needing some mix of all three, and the mix shifts as they grow.
What stays constant is the direction. Every engagement transfers capability. Every capability transfer creates the next, more interesting problem worth solving together. The work gets harder over time, not because you depend on us more, but because you can do more and your vision has expanded to address bigger challenges. Our methodology creates a virtuous cycle: each successful implementation expands both organizational capability and leaders’ vision for what’s possible. That’s where the greatest value of agentic AI emerges, not from a single solution, but from the momentum it creates for continuous improvement and innovation.
With a focus on real business outcomes, we guide your teams through adopting agentic AI responsibly, turning innovation into lasting enterprise value.
Watch our free Agentic AI video training series, led by Julian Lancaster, CISO at Prowess Consulting. This foundational series breaks down the essentials for business leaders and tech professionals, delivering practical insights and tools to help you scale your capacity with confidence.
Every Ignition conversation we’ve ever had has started with some version of these questions. Here are honest answers.
The answer is no, as long as you design and deploy agents properly. Agents operate within governed, policy-controlled environments. Data access is scoped, auditable, and owned by your IT team. Governance is the first thing we build in an Ignition engagement not the last. No agent runs in your environment before that framework is in place.
Well-built agents reduce compliance risk because they make processes consistent, documented, and repeatable. We design every engagement with your compliance requirements as a core consideration, not an afterthought. In fact, AI agents are incredibly well-suited to supporting compliance workstreams. Compliance teams are often identified as a starting point for organizations’ first agents.
This is a very common complaint, and the reason is almost always the same: the project started with a platform decision instead of a workflow. We start the other way around. We pick the workflow first, build the agent around it, and the technology question becomes a downstream choice instead of a defining one.
Strategy emerges from experience. Ignition produces a prioritized backlog, not a roadmap. The backlog is your strategy, grounded in what actually creates value in your business, ordered by what’s most likely to work next.
While Generative AI focuses on producing standalone outputs in response to prompts, Agentic AI refers to a broader set of emerging capabilities that extend beyond simple generation. These systems are designed to execute multi-step workflows, often using tools or APIs, and can include multi-agent architectures that collaborate on complex tasks. Agentic AI builds on the foundation of GenAI, adding layers of autonomy, orchestration, and adaptability to tackle more sophisticated enterprise use cases.
This is the part that surprises leaders most. Workers don’t resist agentic AI the way they’ve resisted past technology rollouts because they’re not being asked to adapt to a new system. They’re being given a tool that does their work, their way. Adoption follows because the value is immediate and personal. Work is easier and gets done faster.
Yes. We embed transparency, documentation, and human in the loop checkpoints to uphold responsible governance.
Use it where multistep processes, real time decisioning, or continuous learning are critical—such as customer support, cybersecurity, DevOps, BI, and predictive maintenance.
Most of our best engagements start with a 30-minute conversation centered around the problems you want to solve. We’ll dissect a real workflow in a live working session. By the end of it, you’ll know whether agentic AI is worth pursuing in your organization and whether we’re the right partner to do it with.
The most useful question you can come prepared to answer: what’s a four-hour task in your organization that should take four minutes?
We’ve never been in a room where someone couldn’t answer it.
As founder and CEO of Prowess, Aaron Suzuki has led the organization to become a thriving business filling the important space between technology development and marketing teams with technology, applications, content, and analytics.
Aaron was also the founder and CEO of SmartDeploy, a Seattle-based IT management software company. SmartDeploy simplified the secure configuration and management of business computing endpoints for thousands of customers globally.
Earlier in his career, Aaron served as Director of Business Development at Entirenet, a Seattle-based technical services firm. Before moving to Seattle, Aaron was President of Inetz Media Group, a web application development company based in Salt Lake City.
Aaron holds a B.S. from Brigham Young University and a M.S. from the University of Iowa. An avid cyclist and passionate skier, he also serves on the Board of Directors of Blue Devils Performing Arts, a youth performing arts non-profit.
