Good questions.
Clear answers.

ModernCo helps businesses put AI to work in their everyday operations. We bring together AI strategy, practical tools, connected workflows and team training to help you reduce repetitive work, improve access to information and give your people more time for work that needs their judgment.

ModernOS brings together Superbrain, your AI Clone Team and connected workflows. Superbrain holds the business context; your AI employees put that knowledge to work, with people directing and reviewing the results. ModernOps is the implementation and change-management work that helps your team use those capabilities in the working day.

Individual AI tools can be useful while still leaving your team to connect the pieces. ModernCo helps you identify where those tools fit into your operations and establish repeatable ways of working. Your AI Clone Team can give recurring tasks a more structured starting point. If you are unsure where to focus, start with our AI Readiness Assessment.

Superbrain is the shared memory at the foundation of ModernOS: your strategy, voice, processes, decisions and lessons, organized so your people and AI can work from the same context.

Its genius is continuity. Your best thinking carries forward across tasks and projects, so you spend less time re-explaining the business. Give that knowledge clear ownership and keep it current as the business changes.

Start with a specific business problem. Look for work that happens frequently, takes meaningful time and has a clear definition of a good result. Our AI Readiness Assessment is a starting point for exploring your opportunities and priorities. The next step might be training, your AI Clone Team or a focused workflow solution.

No. Begin with the result you want to improve. Our AI Readiness Assessment can help frame the opportunities before you choose a tool. Your AI Clone Team may suit recurring work with defined responsibilities; other needs may call for existing software, integrations or custom development.

You can begin with a limited, well-understood set of information. Choose one workflow and identify the records it needs, where they live and who owns them. Missing, outdated or contradictory information can affect results, so some cleanup may be necessary before expanding.

Shift in 5 is the short name for the MindShift AI Transformation Framework. It guides five phases in sequence: Discovery, Strategy, Blueprint, Implement and Optimize. Each phase ends at a decision gate before the next begins.

Start by diagnosing the business problem and data foundation, then prioritize the work, plan it, build it and improve it against the intended outcome. ModernOps applies the framework with your team, using a team-owned scoreboard and a weekly Account · Review · Plan rhythm to keep progress visible.

Our AI Readiness Assessment is a guided starting point for putting AI to work in your business. In about 6–8 minutes, twenty questions explore your goals, current AI use and seven areas: leadership alignment, strategic value, people and adoption, workflow readiness, data and technology, governance and oversight, and execution and resources.

You see a personalized readiness snapshot immediately, with a profile across the seven areas and guidance based on how your business works today. If you choose to request the optional emailed action report, it adds three priorities with reasons and suggested owners, your scores and the answers behind them, and an editable project worksheet you can download. It helps turn a broad interest in AI into a more useful conversation about where to begin or improve.

No. It is a self-assessment to help you reflect and choose a practical next step. The results use a fixed scoring model and the answers you provide; they are not an independent audit, certification or guarantee of business results. Your workload, your people’s concerns and the support available matter alongside the scores.

No. Answer for how your business works today, using the closest fit or an uncertain answer where offered. You can start with a goal, a recurring task or a question. The assessment considers the people, information, workflows and follow-through around AI, as well as the technology.

Yes. Your high-level results appear on-screen without contact details. An email address is needed only if you choose to request the more detailed action report. Marketing updates have a separate optional checkbox; requesting the report does not subscribe you unless you select it. See our privacy policy for how report requests are handled.

Use the results to agree on one worthwhile workflow or improvement. Check the answers with the people doing the work, name an owner and decide how you will judge progress. If capacity is already stretched, include practical help for setup and learning in the plan. You can bring your results to a conversation with ModernCO about the next step.

Our AI Clone Team is a collection of AI assistants organized around defined business roles and responsibilities. Each member has instructions for the work it supports. Your team gives recurring AI-assisted work a more consistent starting point, while you provide the context, direction and review.

Your AI Clone Team includes specialists across marketing, strategy, operations, client support, finance and more.

• CassieSupport emails
• MegMarketing strategy
• SuzieSocial content
• RileyContent repurposing
• NiaNewsletters
• LindaWebsite copy
• DorothyDelegation
• MarlowFinance
• BridgetteCEO dashboard
• CallieContent briefs
• ManyManyChat workflows
• WynnPodcast planning
• GlendaGuest research
• CarrieConversion copy
• IzzyMarket monitoring
• RachelReviews
• CEO TimeWeekly planning
• BettyBusiness planning
• AllieCompetitive analysis
• SloaneProcess documentation
• LakeishaLaunch emails
• HopeInterview questions
• QuinnCurriculum
• WillaCEO wellbeing
• LenaLinkedIn content
• Sales Page BuilderSales pages
• SOP WriterProcess documentation

The offer also lists Automated Review Processor as a bonus specialist. SOP means standard operating procedure.

View the current roster and offer →

A general chat often starts with you explaining the task and context. Your AI Clone Team organizes reusable instructions around defined responsibilities, giving recurring work a more consistent starting point. You still provide the assignment details and review the result.

Your AI Clone Team operates within your own ChatGPT, Claude or Gemini account. Platform choice and account configuration affect how it is used.

Yes. You provide examples, offers and business context to guide its work. Review early outputs and give specific feedback to improve the fit.

No. Start with the members whose responsibilities match your immediate workload. Choose a recurring task, test the output and refine the instructions before introducing more members.

Start with work that repeats, consumes time and has a result you can evaluate. Our AI Readiness Assessment can help you explore those priorities. Then select the members whose responsibilities match the work you want help with.

Two live calls each month, between-call support, learning resources and a business-owner community help you put your AI Clone Team to work. See the current offer for what is included.

Explore implementation support →

New specialists are added throughout the year. See the current offer for the latest roster and update terms.

Generating a draft and taking an action are different capabilities. What your AI Clone Team can do depends on its tools, connections and permissions. Define which tasks it can perform, which actions require approval and who reviews the results before enabling it to act.

Your AI Clone Team can support employees with defined tasks. Before introducing it across a department, establish account access, information-sharing rules, training and responsibility for reviewing outputs. The right setup depends on your chosen platform and how your team works.

AI can automate tasks, and in some cases it can reduce or eliminate the need for certain roles. It can also change existing jobs and create new responsibilities. The outcome depends on the work and the decisions leaders make. ModernCo helps you examine those implications so you can make informed decisions about workflows, staffing and training.

Your AI Clone Team may perform tasks currently handled by employees or outside providers. Whether it can replace an entire role or service depends on the full responsibility involved, including judgment, relationships, exceptions and accountability. Test the work and include oversight costs before making a staffing or supplier decision.

Many everyday AI tasks do not require coding. People do need to understand how to give clear instructions, protect information and assess results. Your AI Clone Team can provide a practical starting point through defined responsibilities. People still need to understand the work and remain accountable for how they use its outputs.

Give people a useful task, clear expectations and a way to check the result. Your AI Clone Team can make the starting point more concrete by giving AI assistants defined responsibilities. Combine practical training with employee feedback and agreed measures of success so adoption translates into better work.

Often, yes. The options depend on your software, available connections and access requirements. Map how information moves through your business and identify where AI could help. Some improvements need a simple workflow; others require a deeper integration.

Data handling depends on the tools and configuration used. Before connecting business information, establish what can be accessed, where it is stored, whether a provider may use it for model training and who has permission to use it. These requirements should shape the solution from the beginning.

AI can make mistakes, so checking its work is part of using it well. Depending on the task, that can include source references, validation against business records and review by a qualified person. Higher-consequence work needs stronger checks, and responsibility for the final result should be clear.

Changing providers may require adapting instructions, connections and workflows. Before investing, establish what you can export, what depends on a particular platform and what migration would involve. Portability should be evaluated for the specific setup.

Cost and timing depend on the scope, systems involved and level of customization. A focused workflow improvement differs from an implementation across several departments. A proposal should make the deliverables, responsibilities, timeline and costs clear, including ongoing software, usage and support costs.

Establish a baseline before making the change. Compare results using measures that matter to your business: time spent, turnaround speed, accuracy, rework, customer experience or revenue. Include the time spent checking and maintaining the system so the improvement reflects the full cost of doing the work.

Begin with our AI Readiness Assessment or a conversation about the work you want to improve. From there, identify a practical next step, whether that is your AI Clone Team, team training or a focused workflow project.