How SMBs Can Get Started With AI
Making the jump from “AI could help us” to “AI is creating measurable value” can feel impossible for a lot of small and medium businesses (SMBs). Too often, organizations spend months evaluating platforms, preparing and organizing data, using an ETL to move the data, discussing security requirements, and planning for long-term adoption before they have even proven a specific use case.
JetSweep’s 5x5x5 Proof of Concept offers a significantly faster, more practical path: five business users, five connected data sources, and five business days to put AI-powered proprietary analytics in the hands of your team.
What Is JetSweep’s 5x5x5 Proof of Concept?
Built on Amazon Quick Suite, the 5x5x5 is a fixed-scope engagement that uses your real business data to create AI-assisted search, analysis, summaries, and workflows. It’s a focused AI analytics sprint designed to replace guesswork with evidence through:
- Five users: Five named business users receive role-based access and governance so the people closest to the work can test the experience.
- Five connectors: Within hours, we connect and index five data sources from your existing tools so the proof reflects your real operating environment.
- Five days: A rapid sprint keeps scope tight and produces a decision while the business need is still current.
By the end of the sprint, leadership sees live, meaningful results that aren’t available from another data source and receives a clear recommendation to scale, optimize, or walk away with confidence.
What Your Team Gets in Five Days
As an AWS Advanced Tier Services Partner with deep GenAI and Quick Suite expertise, we build a working, business-specific environment that your users can evaluate directly, including:
- A configured Quick Suite Enterprise environment with role-based security
- An AI-searchable knowledge base built on your data
- A custom chat agent tailored to your business context
- One automated workflow per business user
- Team onboarding and a Quick Suite enablement session
The Business Outcomes That Matter
A proof of concept is valuable only if it improves the quality and speed of a business decision. The 5x5x5 is designed to help your organization:
- Prove AI value to leadership with live results in five days
- Reduce manual analysis and reporting effort with AI-generated summaries
- Make business information easier to find across selected systems
- Ask questions in natural language instead of relying on specialized queries or static reports
- Move from insight to action faster through automated, user-specific workflows
- Decide whether to scale, optimize, or stop before making a larger investment
For an SMB, that last point is especially important. Internal teams are already balancing daily operations with strategic initiatives. A fixed-scope sprint creates useful evidence without pulling the business into a long, open-ended experiment.
Why Speed Is Essential in an AI Pilot
A five-day boundary helps an organization:
- Maintain stakeholder attention
- Reduce speculative planning
- Gather user feedback sooner
- Limit upfront investment
- Avoid unnecessary features
- Make a faster scale-or-stop decision
5 Principles Behind an Effective AI Pilot
Our model is deliberately narrow because effective pilots share several characteristics.
1. Start With a Specific Business Problem
“We need to use AI” is not a use case. A strong pilot starts with a problem that can be observed and evaluated, such as:
- Reducing the time required to prepare weekly reports
- Helping support teams search internal documentation
- Giving sales leaders faster access to account insights
- Summarizing operational information across multiple systems
- Automating a repetitive business workflow
The more specific the problem, the easier it is to determine whether the pilot worked.
2. Use Real Business Data
Artificial data can make a demonstration look polished, but it does not reveal whether the solution can operate within the company’s actual environment.
Real data helps uncover practical questions involving:
- Data quality
- Access permissions
- System integration
- Relevance
- Security
- Governance
A pilot should test the conditions the organization will face if the use case moves forward.
3. Involve Actual Business Users
Leadership can sponsor an AI initiative, but the people closest to the work are best positioned to determine whether the output is:
- Accurate
- Relevant
- Easy to understand
- Practical within existing workflows
- Worth adopting on a broader scale
Without actual user feedback, a technically successful pilot may still fail to create business value.
4. Evaluate Workflows, Not Isolated Features
The strongest pilots assess how AI fits into a broader workflow.
That may include:
- Searching for information
- Summarizing findings
- Generating a recommendation
- Triggering an approval
- Updating a system
- Assigning a follow-up action
Business value usually comes from improving the full process, not from demonstrating a single AI feature.
5. Establish a Decision Deadline
A pilot that continues indefinitely is simply creating a new form of technical debt. The organization should be prepared to:
- Scale the use case
- Refine the approach
- Test a different workflow
- Address a data or governance issue
- Stop the initiative
Turning AI Interest Into Action
You don’t need a massive transformation program to find out whether AI can create value for your organization. You need a focused problem and a disciplined way to test the result. Our 5x5x5 Proof of Concept brings those elements together in five business days, with no long timeline and no unclear outcome.