Current-use review
Understand which AI tools employees use, what information they share, and which tasks need attention. Identify gaps in guidance, access, or the way work moves between your systems.
Stammen Technology helps businesses turn AI from scattered experimentation into a secure, supported, and useful business capability.
AI adoption often starts before a business has formally decided how it should be used.
Employees create personal accounts. Teams experiment with different products. Managers identify useful applications. Sensitive information may move through tools your organization does not manage. At the same time, valuable opportunities can stall because employees do not have the right tools, training, or technical support.
Simply telling employees to “be careful with AI” does not solve either problem.
Stammen Technology helps assess where AI can create value, select and configure the right platforms, establish governance, train employees, automate repetitive work, and build custom AI-enabled systems when the opportunity justifies it.
Understand which AI tools employees use, what information they share, and which tasks need attention. Identify gaps in guidance, access, or the way work moves between your systems.
Evaluate suitable platforms against your work, existing systems, access needs, and budget. Understand which capabilities you need, what setup is involved, and whether your current tools can support the work.
Receive recommendations for what to address first and what can wait. The next step may be advice on one question, an assessment, employee training, a focused pilot, or a defined technical project.
Review employee tasks, existing accounts, information sharing, repeated handoffs, and the systems involved. Discuss where employees need guidance and where a technical limitation may affect the proposed work.
Outputs can include current-use findings, tool recommendations, priorities, and an implementation plan. The agreed scope determines which reviews and written deliverables are included.
Give employees a clear way to use approved tools, check their work, and ask for help. Stammen Technology can turn your requirements into an AI policy and training based on the work your employees actually do.
Define approved tools and accounts, what information employees may use, and which systems AI can access. Assign responsibility for checking output and deciding when an employee should stop and seek help.
Practice with tasks employees recognize, such as preparing a draft, reviewing a spreadsheet, or finding information in documents. Teach employees to provide useful context, recognize mistakes, and verify results before using them.
Employee prototypes can help explain an idea. Before a prototype becomes a tool people depend on, review its code, data access, testing, deployment, and support needs.
Modern AI platforms can work with far more than a question typed into a chat window.
Depending on the platform and the controls a business chooses to enable, AI can help employees work with documents, spreadsheets, research, email, internal knowledge, software, and business systems they already use.
Reduce time spent searching through email, shared files, internal documentation, previous work, and knowledge systems.
Accelerate first drafts, summaries, comparisons, research, spreadsheet analysis, documentation, and other knowledge work.
Identify repeatable processes and automate the parts that do not require human judgment.
Make information your organization already owns easier for authorized employees to retrieve and reuse.
Turn employee knowledge and operational problems into scripts, applications, integrations, plugins, and AI-enabled workflows.
The right opportunity depends on your operations. Not every process needs AI, and many good automations do not require AI at all.
Possible connections include forms, email, CRMs, shared files, databases, task systems, and internal applications. Stammen Technology reviews available APIs, permissions, data quality, and software limitations before confirming what can be connected. The plan also defines how errors are reported and who handles exceptions.
AI strategy, employee use, business systems, and getting started.
That is often when a strategy becomes most important. If employees are already using AI independently, your organization may have limited visibility into which tools are being used, what information is being shared, and how AI-generated work is being reviewed. A strategy creates a supported path forward instead of relying on unmanaged individual decisions.
No. The right decision depends on your goals, current systems, employee needs, security requirements, and expected use cases. An assessment may recommend a company platform, a limited pilot, a different automation approach, or no AI implementation for a particular workflow.
Yes. Platforms can be evaluated across capabilities, Microsoft or Google integration, company knowledge access, administration, security, connectors, development tools, licensing, and expected use cases.
Yes. Governance can cover approved platforms, sensitive information, employee responsibilities, required human review, customer-facing uses, connectors, development, escalation, and other organization-specific requirements.
Yes. Training can combine responsible-use requirements with practical instruction on how employees can use the approved platform effectively in their actual work.
Experimentation can be valuable because employees understand problems inside their own work better than anyone else. The important distinction is between experimentation and production. A useful prototype can be reviewed and, when appropriate, rebuilt or hardened with proper software engineering, cybersecurity, testing, deployment, and support.
No. Many reliable automations should use conventional rules, APIs, integrations, forms, notifications, and data movement. AI should be added where it creates a specific advantage.
Potential integrations include Microsoft 365, Google Workspace, CRMs, email, shared files, databases, internal software, APIs, websites, task systems, reporting platforms, and other business applications. Technical feasibility and security requirements depend on the specific systems involved.
Measure the work. Useful metrics include time saved, cycle-time reduction, fewer manual steps, faster information retrieval, reduced repetitive work, improved analysis, and processes that become possible to automate. AI usage itself is not the outcome.
Yes. When a business need goes beyond what an existing platform can solve, Stammen Technology can design and develop custom software, integrations, internal tools, and AI-enabled workflows.
Start with the problem that needs solving. Stammen Technology reviews what prompted the conversation, how AI is currently being used, where employees are losing time, what systems are involved, and what risks or constraints need consideration. From there, Stammen Technology recommends the appropriate next step rather than forcing every business into the same AI package.
Tell us what prompted your interest in AI or automation, which systems you use, and what you want to improve. Stammen Technology will review your request and follow up using your preferred contact method.