Your employees shouldn't have to figure out a new process from a static PDF. We design practical, interactive training that helps people understand a workflow, practice it, and use it on the job.
When systems change, your teams need more than a document to read. They need to recognize the correct steps, practice key decisions, and find help at the moment they need it.
Start with the challenge you're facing. Each solution can begin as a focused pilot or custom engagement designed around your workflows, systems and users.
Go beyond step-by-step documents. Help employees follow visual cues and practice the tasks they perform at work.
Give employees a safe way to rehearse a software workflow before they perform it in a live system.
Use AI-assisted drafting and instructional-design review to turn approved procedures into clearer learning experiences.
Help your team identify barriers, document issues and organize fixes using established accessibility standards.
Find out what employees need to learn, plan responsible AI adoption training, and assess practical skills.
Discuss a scoped subcontracting or co-delivery pilot for guided job aids, interactive simulations, and end-user practice. Built around approved client content and review requirements.
Explore five narrated product walkthroughs in one approximately 15-minute presentation. Watch a simulated cursor illustrate each workflow, read synchronized narration captions, and jump to the solution most relevant to your business.
Choose a high-frequency task
From static instructions to on-the-job guidance.
Illustrative interface and fictional workflow. Narration is a studio-quality AI voiceover recorded for this tour; the speed control adjusts playback. Timing varies by device and playback speed.
Digital Static LearningOps AI brings together the five highest-value offerings into one buyer-friendly solution family. Start with the business problem, choose the product that fits, and scale from a single pilot into a larger enterprise learning solution.
Replace static PDFs and hard-to-follow instructions with guided, visual job aids that help employees understand the task, follow the right steps, and return to the tool later as performance support.
Step-by-step guided screens, job-aid structure, practice cues, links to support resources, and review-ready branded deliverables.
It helps teams move from explanation to execution, reducing friction for employees and managers alike.
When a new system launches, employees need more than a demo. They need the chance to watch, follow along, and then try the task independently. This solution creates realistic practice experiences that strengthen adoption and reduce launch-day anxiety.
Simulated practice experiences, structured feedback points, learner progression, and a reusable training asset for future hires.
It improves software adoption and helps employees make fewer first-use mistakes in live systems.
Many organizations already have good process documents. The problem is that documents alone do not train people. This solution helps turn procedures, policies, and workflows into clearer learning experiences using AI-assisted drafting combined with human instructional-design review.
Learning objectives, structured content design, drafted modules, assessments, job aids, and a clearer instructional framework.
It shortens the distance between "we documented it" and "our people can actually do it."
Accessibility cannot be an afterthought. This solution helps teams identify barriers, organize issues, and create a realistic remediation plan so learning content and digital experiences are more usable for more people.
Review findings, issue categories, remediation planning guidance, tracking structure, and support for clearer prioritization.
It helps teams move from vague accessibility concern to an organized improvement plan.
AI transformation is not just a technology conversation. It is a workforce readiness challenge. This solution helps organizations evaluate current capability, identify learning needs, and design role-based readiness plans that support responsible AI adoption.
Readiness framing, audience segmentation, learning-path recommendations, and a practical structure for AI capability development.
It helps leadership move from AI interest to a more credible workforce learning plan.
This working sample uses a fictional employee equipment-request workflow. Explore the three learning modes and experience how guidance changes as confidence grows.
Choose a mode to see how employees progress from watching to independent practice.
Select Hardware to begin the guided workflow.
This is an original, fictional simulation. It is not connected to any employer, government system, database or actual employee requests.
Select the role that sounds most like yours to see what an engagement might focus on.
You need training that is clear, repeatable and useful beyond the first day of a launch.
We start with the job your people need to do, define how success will be assessed and build only what's valuable.
Review the audience, process, current materials, tools and performance problem.
Agree on objectives, interaction style, sample screens and how to measure learning.
Check content accuracy, usability, accessibility needs and operational fit.
Package deliverables for the agreed environment and identify follow-up support.
Use your own assumptions to estimate the value of time that might be recovered if a redesigned workflow reduces repeated assistance or rework.
Illustrative scenario only. Assumes every specified repetition produces the entered time reduction for 12 months. Does not account for training costs, implementation effort, adoption, overlapping tasks, or real-world variation. Validate with a measured pilot before using in a business case.
Flexible service and pilot engagements. Specific deliverables, schedules and fees are established in a written proposal.
A focused conversation to determine whether we're a fit and what problem deserves attention first.
Build and review one useful sample experience before committing to a larger implementation.
For multiple workflows, integrations, specialized testing, deployment needs or ongoing content support.
Pricing is illustrative, not a published fixed-fee product catalog. Complexity, system access, accessibility requirements, hosting and integrations can change final scope and cost.
Digital Static LLC is led by Ron Scott, a creative technologist and instructional design professional whose public portfolio includes work across healthcare, government, enterprise learning and multimedia production.
LearningOps AI is a proposed solutions brand for combining interactive training, software simulations and responsibly used AI-assisted development into practical client projects. Every engagement should be grounded in reviewed source material and an agreed scope.
View professional portfolioDon't just explain the work. Give people a way to practice it.
No inflated results, invented customer claims or vague AI promises. Here is how a potential engagement would work.
No. They are proposed solution areas and custom/pilot engagements. The interactive sample on this page is functional, but it does not represent a deployed enterprise product. A production platform, any integration and ongoing service agreement would be scoped separately.
Possibly, depending on your LMS, publishing specifications and project scope. SCORM/xAPI output, user tracking and system integrations must be confirmed during discovery and tested in the client's target environment. They are not features of this standalone demo.
No such use is implied or authorized by contacting us. Before using client materials in any AI-assisted workflow, we would agree on approved tools, information classification, access, retention and human-review requirements. Sensitive materials should not be sent until those terms are established.
No. Accessibility review combines testing, issue documentation and remediation planning. Automated scans cannot identify all issues. Conformance claims require adequate evaluation against the applicable standard and relevant environments. See the W3C WCAG 2.2 guidelines for authoritative guidance.
We define an observable outcome before the build: fewer task errors, better task-completion scores, reduced assistance requests, faster completion or improved learner confidence. We establish baseline data when possible, run the pilot and report measured results rather than guarantee a particular percentage improvement.
The timeline depends on source quality, reviewer availability, number of screens, interactions, accessibility needs and approvals. A written proposal will set an agreed timeline and deliverables after discovery.
Bring one high-friction workflow, the intended learners, current instructions or process owner, and information about the system where the training will be used. We can help narrow the scope before anyone shares confidential content.
Our AI advisor suggests which solution area fits your situation — answered honestly, with no invented claims. For a real proposal, start a conversation below.
Responses are AI-generated suggestions about our solution areas — not a proposal, quote, or guarantee of outcomes. Please don't include confidential information.
Tell us what your employees need to learn or where your rollout is getting stuck. We can discuss a targeted demonstration or a scoped paid pilot.
Start a conversation about a training problem, upcoming system rollout, or scoped pilot. Your inquiry is sent securely to the Digital Static team.